{"id":434,"date":"2026-03-04T06:07:19","date_gmt":"2026-03-04T06:07:19","guid":{"rendered":"https:\/\/www.ieeesmc.org\/cai-2026\/?page_id=434"},"modified":"2026-03-31T10:22:12","modified_gmt":"2026-03-31T10:22:12","slug":"detailed-schedule","status":"publish","type":"page","link":"https:\/\/www.ieeesmc.org\/cai-2026\/detailed-schedule\/","title":{"rendered":"Detailed Program and Schedule"},"content":{"rendered":"

Bi-Fin-1<\/a>, Bi-Fin-2<\/a>, Bi-Fin-3<\/a>, Bi-Fin-4<\/a>, GenAI-1<\/a>, GenAI-10<\/a>, GenAI-11<\/a>, GenAI-12<\/a>, GenAI-13<\/a>, GenAI-2<\/a>, GenAI-3<\/a>, GenAI-4<\/a>, GenAI-5<\/a>, GenAI-6<\/a>, GenAI-7<\/a>, GenAI-8<\/a>, GenAI-9<\/a>, Healthcare-1<\/a>, Healthcare-2<\/a>, Healthcare-3<\/a>, Healthcare-4<\/a>, Healthcare-5<\/a>, Healthcare-6<\/a>, Healthcare-7<\/a>, Healthcare-8<\/a>, Healthcare-9<\/a>, Human-Robot-1<\/a>, Human-Robot-2<\/a>, Human-Robot-3<\/a>, Human-Robot-4<\/a>, Human-Robot-5<\/a>, Human-Robot-6<\/a>, Multimedia-1<\/a>, Multimedia-2<\/a>, Multimedia-3<\/a>, Multimedia-4<\/a>, Multimedia-5<\/a>, Multimedia-6<\/a>, SS1-MULTI<\/a>, SS2-LLMS<\/a>, SS3-SPACE<\/a>, SS4-FINANCE<\/a>, SS6-FIRE<\/a>, SS7-DRONES<\/a>, SS8-INDUSTRY<\/a>, Sust-Trust-AI-1<\/a>, Sust-Trust-AI-2<\/a>, Sust-Trust-AI-3<\/a>, Sust-Trust-AI-4<\/a>, Sust-Trust-AI-5<\/a>, Sust-Trust-AI-6<\/a>, Sust-Trust-AI-7<\/a>, Sust-Trust-AI-8<\/a>, Sust-Trust-AI-9<\/a>, T1<\/a>, T1-continue<\/a>, T10<\/a>, T10-continue<\/a>, T11<\/a>, T11-continue<\/a>, T12<\/a>, T12-continue<\/a>, T13<\/a>, T14<\/a>, T14-continue<\/a>, T2<\/a>, T2-continue<\/a>, T3<\/a>, T5<\/a>, T6<\/a>, T7<\/a>, T7-continue<\/a>, T8<\/a>, T8-continue<\/a>, T9<\/a>, W1-TEACHING<\/a>, W10-MOBILITY-1<\/a>, W10-MOBILITY-2<\/a>, W10-MOBILITY-3<\/a>, W10-MOBILITY-4<\/a>, W10-MOBILITY-5<\/a>, W11-JUSTICE<\/a>, W12-SECURITY-1<\/a>, W12-SECURITY-2<\/a>, W12-SECURITY-3<\/a>, W2-BIOLOGY<\/a>, W3-CLINICAL<\/a>, W4-AML<\/a>, W7-GPAIS-1<\/a>, W7-GPAIS-2<\/a>, W8-QUANTUM<\/a>, W9-SWARM<\/a><\/p>\n

 <\/p>\n\n\n\n
Session T1: Agentic AI, AI-RAN, AI-Core Networks, and Future 6G<\/strong>
\n8\/5\/26, 8:00-10:00<\/em>, Room:<\/strong> Aula BIM<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n
Session T2: Leveraging Generative AI Strategies for Document Understanding at Scale: A Novel Framework Integrating Late-Interaction Retrieval and Vision Language Models<\/strong>
\n8\/5\/26, 8:00-10:00<\/em>, Room:<\/strong> Aula 110<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n
Session T8: Self-Organizing AI: From Cybernetics to Multi-Stage Selection<\/strong>
\n8\/5\/26, 8:00-10:00<\/em>, Room:<\/strong> Aula ODS<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n
Session T14: Synthetic Realities: Impact, Advancements, and Ethical Considerations<\/strong>
\n8\/5\/26, 8:00-10:00<\/em>, Room:<\/strong> Aula G5<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n
Session T12: How to secure the future intelligent communication networks. The role of blockchain-based systems, Web3 and GenAI<\/strong>
\n8\/5\/26, 8:00-10:00<\/em>, Room:<\/strong> Aula 105<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n
Session W3-CLINICAL: Clinical Care and Medical Imaging with Intelligent VR\/AR\/XR Systems (AI4HealthXR 2026)<\/strong>
\n8\/5\/26, 8:00-9:00<\/em>, Room:<\/strong> Sal\u00f3n de Grados<\/td>\n<\/tr>\n
8:00<\/td>\n632:<\/em> Advanced Methodologies for ICD-10-PCS Medical Procedure Coding Using Large Language Models<\/strong>
Vieira, Armando<\/em>
tartu<\/td>\n<\/tr>\n
8:20<\/td>\n676:<\/em> Convolutional Neural Network Pipeline with Feature Synthesis for Cardiovascular Risk Prediction<\/strong>
Ur rehman, Ibtasam; Yousafzai, Jibran Khan; Alhammadi, Abdul Raqeb; Ikram, Muhammad; Ishfaq, Maheen<\/em>
The Millennium Universal College TMUC<\/td>\n<\/tr>\n
8:40<\/td>\n677:<\/em> Lightweight Machine Learning Models for Pneumonia Detection in Chest Radiographs<\/strong>
Ur rehman, Ibtasam; Yousafzai, Jibran Khan; Alhammadi, Abdul Raqeb; Ikram, Muhammad; Farooq, Zoha; Ishfaq, Maheen<\/em>
The Millennium Universal College TMUC<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n\n
Session W9-SWARM: Workshop on Swarm Intelligence and Evolutionary Computation<\/strong>
\n8\/5\/26, 8:00-10:00<\/em>, Room:<\/strong> Aula 102<\/td>\n<\/tr>\n
8:00<\/td>\n220:<\/em> Sustainable Energy Management in Smart Cities: Optimizing Smart Grids Using Metaheuristic Algorithms<\/strong>
Mousavi-Ghasemlou, Shaban; Ochoa-Zezzatti, Alberto; ZAPOTECAS-MARTINEZ, SAUL; Oliva, Diego; Lira, Manuel<\/em>
INAOE<\/td>\n<\/tr>\n
8:20<\/td>\n399:<\/em> PAMS-PSO: A Predictive and Adaptive Multi-Swarm Particle Swarm Optimizer for Dynamic Optimization Problems<\/strong>
Yin, Kang; Sato, Yuji<\/em>
Hosei University<\/td>\n<\/tr>\n
8:40<\/td>\n665:<\/em> Swarm Intelligence for Dynamic 3D Pollution Peak Detection Using Drones<\/strong>
Prior, Oliver; Azhar, M A Hannan Bin; Sahota, Vijay; Turner, Scott<\/em>
Canterbury Christ Church University<\/td>\n<\/tr>\n
9:00<\/td>\n691:<\/em> Design of Heuristics for the Electric Vehicle Routing Problem by Genetic Programming: Investigation of Solution Size Influence<\/strong>
Durasevic, Marko; Gil gala, Francisco Javier<\/em>
University of Zagreb<\/td>\n<\/tr>\n
9:20<\/td>\n705:<\/em> Efficient Disruption of Criminal Networks through Multi-Objective Genetic Algorithms<\/strong>
Darmadi, Yehezkiel; Nguyen, Thanh Thi; Wilson, Campbell<\/em>
Monash University<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n
Session W4-AML: Autonomous Machine Learning in Complex Situations: Theories, Algorithms and Applications<\/strong>
\n8\/5\/26, 9:00-10:00<\/em>, Room:<\/strong> Sal\u00f3n de Grados<\/td>\n<\/tr>\n
9:00<\/td>\n646:<\/em> An AI- and IoT-Enabled Intelligent Management Framework for Optimizing Resource Utilization in Emergency Departments<\/strong>
Smaili, Fathi; Almohammadi Mohammed, Zayed; Alshahrani Mubarak, Dhafer; Alshahrani Saad, Abdulelah; Alyatim Abdullah, Mohammed; Alghamdi Ahmed, Maan<\/em>
Assistant Professor in Industrial Engineering Department, College of Engineering, University of Bisha Bisha 61922, Saudi Arabia<\/td>\n<\/tr>\n
9:20<\/td>\n655:<\/em> A Two-Stage Machine Learning Framework for AQI Forecasting in Dhaka<\/strong>
Akon, Md. Sabbir; Chowdhury, MD Jabed; Sadik, Jauad Ahmed; Anannya, Tayeba Haque Chowdhury<\/em>
BRAC University<\/td>\n<\/tr>\n
9:40<\/td>\n669:<\/em> AI-Enabled Sustainable Medical Supply Distribution Using Hybrid GA\u0096QLearning in Dynamic Urban Environments<\/strong>
Smaili, Fathi; Ali Siddiq Omar, Fatima; AlaklbiObid, Manar; Mansour Al-Qarni, Nouran; Naqaa Al-Bishi, Rahaf; Amer Almutawa, Noura; Ghanem Al-shahrani, Shahad<\/em>
Assistant Professor in Industrial Engineering Department, College of Engineering, University of Bisha Bisha 61922, Saudi Arabia<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n
Session W10-MOBILITY-1: Smart, Autonomous, Sustainable and Safe Mobility<\/strong>
\n8\/5\/26, 9:15-10:00<\/em>, Room:<\/strong> Aula 206<\/td>\n<\/tr>\n
9:15<\/td>\nw10-k1:<\/em> Road users\u2019 behaviour prediction using explainable contextual information<\/strong>
Miguel \u00c1ngel Sotelo Vazquez<\/em>
Universidad de Alcal\u00e1<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n
Session T1-continue: Agentic AI, AI-RAN, AI-Core Networks, and Future 6G<\/strong>
\n8\/5\/26, 10:30-12:30<\/em>, Room:<\/strong> Aula BIM<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n
Session T2-continue: Leveraging Generative AI Strategies for Document Understanding at Scale: A Novel Framework Integrating Late-Interaction Retrieval and Vision Language Models<\/strong>
\n8\/5\/26, 10:30-12:30<\/em>, Room:<\/strong> Aula 110<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n
Session T8-continue: Self-Organizing AI: From Cybernetics to Multi-Stage Selection<\/strong>
\n8\/5\/26, 10:30-12:30<\/em>, Room:<\/strong> Aula ODS<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n
Session T14-continue: Synthetic Realities: Impact, Advancements, and Ethical Considerations<\/strong>
\n8\/5\/26, 10:30-12:30<\/em>, Room:<\/strong> Aula G5<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n
Session T12-continue: How to secure the future intelligent communication networks. The role of blockchain-based systems, Web3 and GenAI<\/strong>
\n8\/5\/26, 10:30-12:30<\/em>, Room:<\/strong> Aula 105<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n\n\n
Session W7-GPAIS-1: Workshop on General-Purpose Artificial Intelligent Systems (GPAIS)<\/strong>
\n8\/5\/26, 10:30-12:30<\/em>, Room:<\/strong> Sal\u00f3n de Grados<\/td>\n<\/tr>\n
10:30<\/td>\n325:<\/em> DynaView: Bridging Offline Learning and Online Adaptation for UAV Viewpoint Planning<\/strong>
Huang, Jing; Qin, Jiale; Xue, Ning<\/em>
University of Nottingham Ningbo China<\/td>\n<\/tr>\n
10:50<\/td>\n555:<\/em> Automated Compact Neural Network Design Via Evolutionary Algorithm<\/strong>
Mil\u00e1n Jim\u00e9nez, Helena Matilde; Rodr\u00edguez D\u00edaz, Francisco Javier; Cabrera, Daniel<\/em>
University of Granada<\/td>\n<\/tr>\n
11:10<\/td>\n559:<\/em> The Eyes of GPAI: View Alignment Self-Supervised Learning in the Context of General Purpose Artificial Intelligence<\/strong>
de la Rosa, David; Del Jesus, Maria Jose; Charte, Francisco<\/em>
Universidad de Ja\u00e9n<\/td>\n<\/tr>\n
11:30<\/td>\n566:<\/em> A Fuzzy Based-Rule Adaptive Federated Learning for Constructing a Trustworthy GPAIS<\/strong>
Padilla-Rasc\u00f3n, Mar\u00eda Asunci\u00f3n; Garc\u00eda-Vico, \u00c1ngel Miguel; Carmona del Jesus, Crist\u00f3bal J.<\/em>
Universidad de Ja\u00e9n<\/td>\n<\/tr>\n
11:50<\/td>\n567:<\/em> Foundation Model-Driven Auto-Annotation: A Multi-Modal Toolbox for General-Purpose Data Labeling<\/strong>
Ntampakis, Nikolaos; Tziolas, George; Dimitriadis, Vlasios; Vasilakis, Christos; Tsiamitas, Georgios; Markakis, Albertos; Kolokouris, Charalampos; Argyriou, Vasileios; Sarigiannidis, Panagiotis<\/em>
Metamind Innovations P.C.<\/td>\n<\/tr>\n
12:10<\/td>\n654:<\/em> Meta-Learning for Few-Shot Spectroscopic Regression under Distribution Shifts in Smart Agriculture<\/strong>
Garz\u00f3n Segura, Iv\u00e1n; G\u00f3mez Trenado, Guillermo; DAMAS, SERGIO<\/em>
University of Granada, DaSCI<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n\n\n\n\n
Session W10-MOBILITY-2: Smart, Autonomous, Sustainable and Safe Mobility<\/strong>
\n8\/5\/26, 10:30-12:30<\/em>, Room:<\/strong> Aula 206<\/td>\n<\/tr>\n
10:30<\/td>\n132:<\/em> Framework for Hazardous Situations Detection in Autonomous Driving<\/strong>
Garcia-Fernandez, Manuel; Aliane, nourdine; Javier Fernandez, Javier<\/em>
Universidad Europea de Madrid<\/td>\n<\/tr>\n
10:45<\/td>\n168:<\/em> "V2X enhanced Digital Twin for public bus priority. Towards Agentic-enabled Transport Systems"<\/strong>
Lalaguna, Antonio; Lopez-Aguilera, Elena; Rodero, Ivan; Gibert, Karina<\/em>
ACISA, UPC<\/td>\n<\/tr>\n
11:00<\/td>\n592:<\/em> Georeferenced Monocular Traffic Monitoring with Pseudo-Label Adaptation and Consistency Metrics<\/strong>
Borau, Javier; Mediavilla Ponce de Leon, Mario; Armingol, Jose Maria; Sanchis, Araceli<\/em>
Universidad Carlos III de Madrid<\/td>\n<\/tr>\n
11:15<\/td>\n593:<\/em> Enhancing Road-Work Safety: AI Driven Multi-Camera Vehicle Tracking in V2I Cooperation for Lane Maintenance<\/strong>
Yag\u00fce Cuevas, David; Castellanos-Orme\u00f1o, Carlos; Mar\u00edn-Plaza, Pablo; Sesmero, Mar\u00eda-Paz; Armingol, Jose Maria; Sanchis, Araceli<\/em>
University Carlos III of Madrid<\/td>\n<\/tr>\n
11:30<\/td>\n604:<\/em> A Scalable Extension of an AIS\u0096Satellite Fusion Architecture for Reliable Preprocessing of Vessel Trajectories in Anomaly Detection Applications<\/strong>
L\u00f3pez, Andrea; Zubasti, Pablo; Garcia Herrero, Jesus; Molina, Jos\u00e9 Manuel<\/em>
Universidad Carlos III de Madrid<\/td>\n<\/tr>\n
11:45<\/td>\n608:<\/em> Simulation-Based Digital Twins for Decision Support in Urban Bike-Sharing Systems<\/strong>
Calder\u00f3n Orellana, Christian; Mart\u00ed, Pasqual; Jord\u00e1n Prunera, Jaume Mag\u00ed; Palanca C\u00e1mara, Javier; Julian Inglada, Vicente Javier<\/em>
VRAIN. Valencian Research Institute for Artificial Intelligence<\/td>\n<\/tr>\n
12:00<\/td>\n609:<\/em> Pedaling through Agent-Based Modeling in Geospatial Contexts: A Methodological Approach<\/strong>
Santos Men\u00e9ndez, Javier; Iglesias, Jose; Ledezma, Agapito<\/em>
Carlos III University of Madrid<\/td>\n<\/tr>\n
12:15<\/td>\n610:<\/em> Emotion Recognition in Driver-Centered ADAS: A Modular Vision-Based Approach for In-Cabin Monitoring<\/strong>
Iglesias, Jose Antonio; Gdanietz, Matthias; Sesmero, Mar\u00eda Paz; Sanchis, Araceli; Ledezma, Agapito<\/em>
University Carlos III, Madrid<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n
Session T3: Engineering Trustworthy Multi-Agent Systems: A Deep Dive from State-of-the-art Research to build Enterprise-grade systems<\/strong>
\n8\/5\/26, 13:30-15:30<\/em>, Room:<\/strong> Aula BIM<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n
Session T13: Generative AI for Multimodal Sensing and 3D Perception<\/strong>
\n8\/5\/26, 13:30-15:30<\/em>, Room:<\/strong> Aula 110<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n
Session T6: From Images to 3D environments: A Hands-on Journey into Radiance Fields and Gaussian Splatting<\/strong>
\n8\/5\/26, 13:30-15:30<\/em>, Room:<\/strong> Aula ODS<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n
Session T9: Designing End-to-End Multi-Agent AI Systems<\/strong>
\n8\/5\/26, 13:30-15:30<\/em>, Room:<\/strong> Aula G5<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n
Session T5: From Rights to Runtime: Engineering Trustworthy, Compliant Agentic AI<\/strong>
\n8\/5\/26, 13:30-15:30<\/em>, Room:<\/strong> Aula 105<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n
Session W12-SECURITY-1: 2026 Workshop on Cybersecurity for AI & AI for Cybersecurity (C4AI4C) (formerly known as the Workshop on AI for Cybersecurity: Friend or Foe?)<\/strong>
\n8\/5\/26, 13:30-15:30<\/em>, Room:<\/strong> Aula 105<\/td>\n<\/tr>\n
13:30<\/td>\nw12-k1:<\/em> AI for Intrusion Detection<\/strong>
Carol Fung<\/em>
University of Waterloo<\/td>\n<\/tr>\n
14:30<\/td>\n701:<\/em> Agentic AI as a Cybersecurity Attack Surface: Threats, Exploits, and Defenses in Runtime Supply Chains<\/strong>
Jiang, Xiaochong; Yang, Shiqi; Yang, Wenting; Liu, Yichen; Ji, Cheng<\/em>
Northeastern University<\/td>\n<\/tr>\n
14:50<\/td>\n698:<\/em> Lightweight LLM Adaptation for Intrusion Detection via Token-Efficient Flow Representation<\/strong>
moudoud, hajar; Laamari, Akram; Abou El Houda, Zakaria<\/em>
universite du quebec en outaouais<\/td>\n<\/tr>\n
15:10<\/td>\n602:<\/em> A New Early Stopping Proposal for Efficient Generative Model Inversion Attacks<\/strong>
Moreno Jim\u00e9nez, Fernando; Rivera Rivas, Antonio J.; Del Jesus, Maria Jose; P\u00e9rez-Godoy, Mar\u00eda Dolores<\/em>
University of Ja\u00e9n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n\n
Session W7-GPAIS-2: Workshop on General-Purpose Artificial Intelligent Systems (GPAIS)<\/strong>
\n8\/5\/26, 13:30-15:30<\/em>, Room:<\/strong> Sal\u00f3n de Grados<\/td>\n<\/tr>\n
13:30<\/td>\n656:<\/em> Is My Text in Your AI Model? Gradient-based Membership Inference Test applied to LLMs<\/strong>
Mancera Fernandez, Gonzalo; De Alcala, Daniel; Tolosana, Ruben; Fierrez, Julian; Morales, Aythami<\/em>
Universidad Autonoma de Madrid<\/td>\n<\/tr>\n
13:50<\/td>\n678:<\/em> The Evolution of Kubernetes Architecture for General-Purpose AI Systems (GPAIS)<\/strong>
Ojea Garcia, Antonio<\/em>
Google<\/td>\n<\/tr>\n
14:10<\/td>\n685:<\/em> Exploring Representation Learning for Developmental Infant EEG<\/strong>
Ucl\u00e9s, Jaime; Stemikovskaya, Kristina; Ballesteros-Duper\u00f3n, Angeles; C\u00f3mbita, Lina M.; Rueda, Rosario; Fernandez, Alberto; Triguero, Isaac<\/em>
University of Granada<\/td>\n<\/tr>\n
14:30<\/td>\n688:<\/em> RunAgent: Interpreting Natural-Language Plans with Constraint-Guided Execution<\/strong>
Srivastava, Arunabh; Khojastepour, Mohammad; Coviello, Giuseppe; Rao, Kunal; Chakradhar, Srimat; Ulukus, Sennur<\/em>
University of Maryland, College Park<\/td>\n<\/tr>\n
14:50<\/td>\n236:<\/em> Generalizable Machine Learning for Corporate Bankruptcy Prediction: An XGBoost-Based Framework<\/strong>
Duca, Graziano; Bucci, Andrea; Rosati, Riccardo; Romeo, Luca<\/em>
University of Macerata<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n\n\n
Session W10-MOBILITY-3: Smart, Autonomous, Sustainable and Safe Mobility<\/strong>
\n8\/5\/26, 13:30-15:30<\/em>, Room:<\/strong> Aula 206<\/td>\n<\/tr>\n
13:30<\/td>\nw10-k2:<\/em> Human-Centered AI for Autonomous and Cooperative Mobility<\/strong>
Cristina Olaverri-Monreal<\/em>
Chair at Johannes Kepler University of Linz – Austria<\/td>\n<\/tr>\n
14:15<\/td>\n611:<\/em> Visual Deep Reinforcement Learning for Adaptive Traffic Signal Control: A Neuro-Symbolic XAI Approach<\/strong>
Caballero, Diego; Sesmero, Mar\u00eda-Paz; Armingol, Jose Maria; Sanchis, Araceli<\/em>
Carlos III University of Madrid<\/td>\n<\/tr>\n
14:30<\/td>\n614:<\/em> A Containerized Multimodal Architecture for On-Device Driver-State Feedback with ROS 2 and Edge AI Services<\/strong>
Fernandez-Matellan, Raul; Martin, David; de la Escalera, Arturo<\/em>
Universidad Carlos III de Madrid<\/td>\n<\/tr>\n
14:45<\/td>\n621:<\/em> V2X-Enabled Infrastructure Support for Autonomous Navigation in Dynamic Road Configurations<\/strong>
Yag\u00fce Cuevas, David; Castellanos-Orme\u00f1o, Carlos; Jim\u00e9nez, Felipe; Mar\u00edn-Plaza, Pablo; Naranjo, Jose Eugenio; Sanchis, Araceli; Sesmero, Mar\u00eda-Paz; Armingol, Jose Maria; P\u00e9rez Moreno, Elisa; Quintal, Valery; P\u00e9rez, Mario<\/em>
Universidad Polit\u00e9cnica de Madrid<\/td>\n<\/tr>\n
15:00<\/td>\n625:<\/em> DONUT: Dataset for Observation of Navigation in Urban Traffic<\/strong>
Garc\u00eda-Gonz\u00e1lez, Jorge; Doval Abilleira, Luc\u00eda Mar\u00eda; Javier Fernandez, Javier; Aliane, nourdine; Javier, S\u00e1nchez Soriano<\/em>
Universidad Europea de Madrid<\/td>\n<\/tr>\n
15:15<\/td>\n651:<\/em> Dynamic Event-Triggered MPC for Nonlinear Systems: Application to Vehicle Active Suspensions<\/strong>
He, Wenting; Zhang, Huiyan; Yao, Daiwen; YU, XIN; Zhao, Ning; Shi, Peng<\/em>
Chongqing Technology and Business University<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n
Session T7: Sustainable Hyperparameter Optimization<\/strong>
\n8\/5\/26, 15:30-17:00<\/em>, Room:<\/strong> Aula BIM<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n
Session T11: AI-ML and Goal-oriented Semantic Networks for the 6G Networks<\/strong>
\n8\/5\/26, 15:30-17:00<\/em>, Room:<\/strong> Aula ODS<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n
Session T10: A Human-AI Collaborative Framework for Agentic Video Synthesis and Evaluation<\/strong>
\n8\/5\/26, 15:30-17:00<\/em>, Room:<\/strong> Aula G5<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n
Session W12-SECURITY-2: 2026 Workshop on Cybersecurity for AI & AI for Cybersecurity (C4AI4C) (formerly known as the Workshop on AI for Cybersecurity: Friend or Foe?)<\/strong>
\n8\/5\/26, 15:30-17:00<\/em>, Room:<\/strong> Aula 105<\/td>\n<\/tr>\n
15:30<\/td>\n693:<\/em> Towards Efficient Intrusion Detection: Feature Selection in Multiclass CNNs with Numerical Inputs<\/strong>
Figueiredo, Ina\u00ea S. de; Passos, Leandro Aparecido; Rodrigues, Douglas; Jodas, Danilo; Amoroso, Fabricio; Avila, Anderson; Papa, Joao Paulo; Pontara da Costa, Kelton A.<\/em>
Institut national de la recherche scientifique<\/td>\n<\/tr>\n
15:50<\/td>\n623:<\/em> PREFENSE: A Capability-Aware Benchmark for Evaluating Contextual-Grounded Prompting in LLM-Based Security Investigation<\/strong>
Vinay, Vaishali; Bhardwaj, Arth<\/em>
Microsoft<\/td>\n<\/tr>\n
16:10<\/td>\nw12-k2:<\/em> Speech Deepfake detection<\/strong>
Nick Gaubitch<\/em>
Pindrop<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n\n
Session W1-TEACHING: AI-Augmented Teaching and Assessment in Higher Education: Challenges, Innovations, and Evidence<\/strong>
\n8\/5\/26, 15:30-17:00<\/em>, Room:<\/strong> Sal\u00f3n de Grados<\/td>\n<\/tr>\n
15:30<\/td>\n657:<\/em> A Conceptual Framework Based on AI Agents and Multimodal Prompt Engineering for Personalized and Adaptive Educational Experiences<\/strong>
Reveiu, Adriana; Chivu, Diana-Elena<\/em>
Bucharest University of Economic Studies<\/td>\n<\/tr>\n
15:50<\/td>\n674:<\/em> Saliency-Guided Action Quality Assessment: An AI-Augmented Framework for Skill Evaluation in Physical Education<\/strong>
Liu, Jiang; Huang, Qiqi; Li, Yixiao; Ma, Yueran; Fu, Yao; Liu, Xiaochang; Wu, Yingying; Zhou, Wei; Stawarz, Katarzyna; Liu, Hantao<\/em>
Cardiff University<\/td>\n<\/tr>\n
16:10<\/td>\n692:<\/em> AI in entrepreneurship training in higher education foundations for the design of Virtual EmpreCoach<\/strong>
Trujillo S\u00e1ez, Fernando; Romero Olmedo, Adri\u00e1n<\/em>
Universidad de Granada<\/td>\n<\/tr>\n
16:30<\/td>\n694:<\/em> Framework for Curriculum-Centric AI Integration in Higher Education: Balancing Innovation, Integrity, and Learning Outcomes<\/strong>
Marshan, Alaa; Cirovic, Mariam; Ioannou, Athina<\/em>
University of Surrey<\/td>\n<\/tr>\n
16:50<\/td>\n704:<\/em> Transforming Engineering Education with Generative AI and Digital Twins: A Theoretical Framework for Future-Ready Pedagogy<\/strong>
Choudhury, Nabanita<\/em>
Symbiosis International (Deemed University), Pune<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n
Session W11-JUSTICE: Justice<\/strong>
\n8\/5\/26, 15:30-17:00<\/em>, Room:<\/strong> Aula 102<\/td>\n<\/tr>\n
15:30<\/td>\n662:<\/em> Do AI Models Have Values? Measuring Cultural Value Orientations Across 30 Large Language Models<\/strong>
Zhang, Sophie; Han, Qiwei<\/em>
Universidade Nova de Lisboa<\/td>\n<\/tr>\n
15:50<\/td>\n695:<\/em> Joint Optimized Supervised and Self-Supervised Embedding Learning for Legal Compliance in documents for Public Companies<\/strong>
Bertocco, Gabriel; Pacelli, Alexandre Vieira Pereira; Apolinario de Faria Dias, Vinicius; Carvalho, Tiago<\/em>
UNICAMP<\/td>\n<\/tr>\n
16:10<\/td>\n703:<\/em> Bridging the Infrastructure Gap: An AI-Driven Framework for Automated Grant Matching in Environmentally Threatened Rural Communities<\/strong>
Desai, Alpana<\/em>
University of Alaska Anchorage<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n\n\n
Session W10-MOBILITY-4: Smart, Autonomous, Sustainable and Safe Mobility<\/strong>
\n8\/5\/26, 15:30-17:00<\/em>, Room:<\/strong> Aula 206<\/td>\n<\/tr>\n
15:30<\/td>\nw10-k3:<\/em> Analysis of replacing conventional rearview mirrors with camera-based systems in urban buses: a two-phase experimental study in real and controlled conditions<\/strong>
Elisa P\u00e9rez Moreno and Jose E. Naranjo<\/em>
Universidad Complutense de Madrid; INSIA, Universidad Polit\u00e9cnica de Madrid<\/td>\n<\/tr>\n
16:15<\/td>\n652:<\/em> V2X enhanced Digital Twin for public bus priority. Towards Agentic-enabled Transport Systems.<\/strong>
Lalaguna, Antonio; Lopez-Aguilera, Elena; Rodero, Ivan; Linares, M\u00aa Paz; Gibert, Karina<\/em>
ACISA, UPC<\/td>\n<\/tr>\n
16:30<\/td>\n661:<\/em> Experimental Validation of Autonomous Search for an RF Emitter in an Unknown Indoor Environment<\/strong>
LY, KIM HOANH; Kim, Du Yong; Ristic, Branko; Asadi, Ehsan; Al-Hourani, Akram<\/em>
RMIT University<\/td>\n<\/tr>\n
16:45<\/td>\n680:<\/em> Optimal Energy Management for a Car-Sharing Operator Using Clustering Techniques<\/strong>
Gal\u00e1n, Mario; Valenzuela, Carmen Mar\u00eda; de la Torre, Sebasti\u00e1n; AGUADO, JOSE ANTONIO<\/em>
Universidad de M\u00e1laga<\/td>\n<\/tr>\n
17:00<\/td>\n683:<\/em> A Decision Focused Learning Based Framework for Optimal Energy Management under Uncertainty in Energy Communities with Electric Vehicles<\/strong>
Nasir, Mohammad; AGUADO, JOSE ANTONIO; de la Torre, Sebasti\u00e1n; Martin, Sebastian; Paredes, Angel; Gonzalez, Jose Manuel<\/em>
University of M\u00e1laga<\/td>\n<\/tr>\n
17:15<\/td>\n700:<\/em> Neural Aided Kalman Filtering for UAV State Estimation in Adverse Sensing Environments<\/strong>
Gupta, Akhil; Guven, Erhan<\/em>
Johns Hopkins University<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n
Session T7-continue: Sustainable Hyperparameter Optimization<\/strong>
\n8\/5\/26, 17:30-20:00<\/em>, Room:<\/strong> Aula BIM<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n
Session T11-continue: AI-ML and Goal-oriented Semantic Networks for the 6G Networks<\/strong>
\n8\/5\/26, 17:30-20:00<\/em>, Room:<\/strong> Aula ODS<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n
Session T10-continue: A Human-AI Collaborative Framework for Agentic Video Synthesis and Evaluation<\/strong>
\n8\/5\/26, 17:30-20:00<\/em>, Room:<\/strong> Aula G5<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n\n\n
Session W12-SECURITY-3: 2026 Workshop on Cybersecurity for AI & AI for Cybersecurity (C4AI4C) (formerly known as the Workshop on AI for Cybersecurity: Friend or Foe?)<\/strong>
\n8\/5\/26, 17:30-20:00<\/em>, Room:<\/strong> Aula 105<\/td>\n<\/tr>\n
17:30<\/td>\n699:<\/em> Comparative Analysis of Machine Learning, LLMs, and RAG for Fake News Detection<\/strong>
Sadfi, Yassin; Avila, Anderson; Davoust, Alan; Amamou, Hazem<\/em>
Institut nationale de recherche scientifique INRS<\/td>\n<\/tr>\n
17:50<\/td>\n626:<\/em> Partial Audio Deepfake Detection: Are We Really Detecting Synthetic Media or Just Dataset Content Biases?<\/strong>
Pimentel, Arthur; Zhu, Yi; Falk, Tiago H.<\/em>
Institut National de la Recherche Scientifique<\/td>\n<\/tr>\n
18:10<\/td>\n571:<\/em> Investigating the Impact of Speech Enhancement on Audio Deepfake Detection in Noisy Environments<\/strong>
Anacin, Angela; Kshirsagar, Shruti; Avila, Anderson<\/em>
Wichita State University<\/td>\n<\/tr>\n
18:30<\/td>\n696:<\/em> Gender Fairness in Audio Deepfake Detection: Performance and Disparity Analysis<\/strong>
Fursule, Aishwarya Ravindra; Kshirsagar, Shruti; Avila, Anderson<\/em>
WICHITA STATE UNIVERSITY<\/td>\n<\/tr>\n
18:50<\/td>\n595:<\/em> From Neural Endophenotypes to Secure Human\u0096Machine Interaction: Identifying Empathy-Related Vulnerabilities from Resting-State qEEG Using Deep Learning<\/strong>
Maldonado-Bouchard, Sioui; Saki, Amir; faghihi, usef; Brideau-Duquette, Mathieu; Renaud, Patrice<\/em>
Universit\u00e9 du Qu\u00e9bec en Outaouais<\/td>\n<\/tr>\n
19:10<\/td>\n686:<\/em> EM-Auth: A Generalizable Eye-Movement Authentication Framework Using Event Cameras<\/strong>
Dang, Ba Luan; Truong, Vu; Le, Long Bao; Falk, Tiago H.<\/em>
Institut National De La Recherche Scientifique (INRS)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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Session W2-BIOLOGY: AI for biology and biomedicine<\/strong>
\n8\/5\/26, 17:30-20:00<\/em>, Room:<\/strong> Sal\u00f3n de Grados<\/td>\n<\/tr>\n
17:30<\/td>\n670:<\/em> Exploring Deep Learning and Ultra-Widefield Imaging for Diabetic Retinopathy and Macular Edema<\/strong>
Jim\u00e9nez, Pablo; Romero-Tapiador, Sergio; Tolosana, Ruben; Morales, Aythami; de Rivera, Guillermo; Vera-Rodriguez, Ruben; Fierrez, Julian<\/em>
Universidad Aut\u00f3noma de Madrid<\/td>\n<\/tr>\n
17:50<\/td>\n671:<\/em> Adaptation and Evaluation of EEG Classifiers for Regression-based Hand Trajectory Decoding<\/strong>
Ohsaki, Miho; Inoue, Minoru; Shirahama, Kimiaki<\/em>
Doshisha University<\/td>\n<\/tr>\n
18:10<\/td>\n675:<\/em> Automated detection of Enterobius vermicularis eggs in microscopic images using YOLOv8<\/strong>
Kataru, Srikrishna Kataru; Dubey, Atul Dubey<\/em>
The Harker School<\/td>\n<\/tr>\n
18:30<\/td>\n684:<\/em> Longitudinal Digital Phenotyping for Early Cognitive-Motor Screening<\/strong>
Jim\u00e9nez Oviedo, Diego; Vera-Rodriguez, Ruben; Tolosana, Ruben; Ruiz-Garcia, Juan Carlos; Herreros-Rodriguez, Jaime<\/em>
Universidad Autonoma de Madrid<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n\n\n\n
Session W8-QUANTUM: Workshop on Quantum Artificial Intelligence<\/strong>
\n8\/5\/26, 17:30-20:00<\/em>, Room:<\/strong> Aula 102<\/td>\n<\/tr>\n
17:30<\/td>\n622:<\/em> A Grover-Based Approach to Find the Optimal Solution in the "Single Piece Remaining" Puzzle<\/strong>
Prado Mu\u00f1oz, Julio; Rojas Ruiz, Ignacio; Pegalajar Cuellar, Manuel<\/em>
University of Granada<\/td>\n<\/tr>\n
17:50<\/td>\n666:<\/em> Quantum M\u00f6bius Transform Via Block Encoding<\/strong>
Pilaszewicz, Cezary<\/em>
Freie Universit\u00e4t Berlin<\/td>\n<\/tr>\n
18:10<\/td>\n667:<\/em> A Quadratic Unconstrained Binary Optimization Formulation for the Knight's Tour Problem<\/strong>
Meseguer P\u00e9rez, Luisa Mar\u00eda; Trillo, Jos\u00e9 Ram\u00f3n; Pegalajar Cuellar, Manuel; Castillo-Valdivieso, Pedro A.<\/em>
Universidad de Granada<\/td>\n<\/tr>\n
18:30<\/td>\n681:<\/em> Matrix Product States As a Framework for Efficient Simulation of Quantum Kernel Methods for Classification<\/strong>
Rivera Perez, Antonio Jesus; S\u00e1nchez G\u00f3mez, Noelia; Cano, Carlos; Bermejo-Vega, Jara Juana<\/em>
University of Granada<\/td>\n<\/tr>\n
18:50<\/td>\n682:<\/em> Discrete Quantum-Classical Walks for Link Prediction<\/strong>
Mar\u00edn Boyero, Adri\u00e1n; Soto-Gomez, Mauricio; Valentini, Giorgio; Casiraghi, Elena; Cano, Carlos; Manzano, Daniel<\/em>
University of Granada Granada, Spain<\/td>\n<\/tr>\n
19:10<\/td>\n689:<\/em> Evolutionary Quantum Neural Networks for Heart Disease Classification<\/strong>
Chiatto, Angela; Vitiello, Autilia; Acampora, Giovanni<\/em>
University of Naples Federico II<\/td>\n<\/tr>\n
19:30<\/td>\n690:<\/em> Quantum Kernels for SVM Entanglement Detection<\/strong>
Acosta, Ernesto; Manzano, Daniel; Cano, Carlos; Botella, Guillermo<\/em>
University of Granada<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n\n\n
Session GenAI-1: Generative AI Models, AI in Education and Agentic AI<\/strong>
\n9\/5\/26, 8:00-10:00<\/em>, Room:<\/strong> Aula 101<\/td>\n<\/tr>\n
8:00<\/td>\n5:<\/em> Input-Length Effects on Transformer-based Misinformation Detection: An Empirical Study<\/strong>
RAZZAQ, Dr ABDUL; Shehnaj, Mohammad<\/em>
National College of Ireland<\/td>\n<\/tr>\n
8:20<\/td>\n7:<\/em> A Practical Enhancement for Intrusion Detection Systems with Validation-Gated Mixture-Of-Experts (VG-MoE)<\/strong>
Al-Essa, Malik; Ali, Wasim; Roccotelli, Michele; Fanti, Maria Pia<\/em>
Polytechnic University of Bari<\/td>\n<\/tr>\n
8:40<\/td>\n13:<\/em> Adaptive Knowledge Retrieval in Multimodal GraphRAG Via Cross-Modal Relationship Learning<\/strong>
Sengupta, Dipanjan; Chatterjee, Samriddha; Dutta, Prayati; Bandyopadhyay, Avinandan<\/em>
EY Global Delivery Services, LLP<\/td>\n<\/tr>\n
9:00<\/td>\n24:<\/em> The analysis of customized tokenizer for the development of isiNdebele language model<\/strong>
Malatji, Promise Tshepiso; Modipa, Thipe Isaiah<\/em>
University of Limpopo<\/td>\n<\/tr>\n
9:20<\/td>\n27:<\/em> Training Data Influence on GPT Models: A Human-AI-Hybrid Analysis<\/strong>
Krosuri, Rithvik; Sen, Vaishnavi; Hasan, Rashida<\/em>
California State University, Northridge<\/td>\n<\/tr>\n
9:40<\/td>\n39:<\/em> On the Study of the Shape of Language: A Topological Analysis of Universal Embedding Spaces Generated by Large Language Models<\/strong>
Balderas Ruiz, Luis; Lastra, Miguel; Ben\u00edtez, Jos\u00e9 M.<\/em>
University of Granada<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n\n\n
Session GenAI-4: Generative AI Models, AI in Education and Agentic AI<\/strong>
\n9\/5\/26, 8:00-10:00<\/em>, Room:<\/strong> Aula 102<\/td>\n<\/tr>\n
8:00<\/td>\n136:<\/em> From Co-Pilots to Co-Workers: A Formal Typology of Human\u0096Agent Collaboration in Organizations<\/strong>
Rodrigo-Gin\u00e9s, Francisco-Javier; Chamorro-Padial, Jorge; Pretel Villanueva, Jorge; Aguilera-Aguilera, Javier; Lugli, Valentino<\/em>
T-Systems Iberia<\/td>\n<\/tr>\n
8:20<\/td>\n166:<\/em> FlexiDataGen: An Adaptive LLM Framework for Dynamic Semantic Dataset Generation in Sensitive Domains<\/strong>
Jelodar, Hamed; Chanchal Bai, Samita; Razavi-Far, Roozbeh; Ghorbani, Ali A.<\/em>
unb<\/td>\n<\/tr>\n
8:40<\/td>\n175:<\/em> Explicit and Implicit Knowledge Retention through RAG-Enhanced Generative AI<\/strong>
Sergej, Miliaev; Eisenbart, Barbara; Hinkelmann, Knut<\/em>
University of Applied Sciences and Arts Northwestern Switzerland<\/td>\n<\/tr>\n
9:00<\/td>\n177:<\/em> Creative Satisfaction in Human-AI Collaborative Writing Workflows: Insights from Large Language Model Use in Technical Communication Training<\/strong>
Speicher Sarraf, Krista<\/em>
California Polytechnic State University, San Luis Obispo<\/td>\n<\/tr>\n
9:20<\/td>\n179:<\/em> Cooperative Multi-Drone Coverage Path Planning with Graph-Attentive Feature Interaction<\/strong>
Li, Mingsheng; Xiao, Jiaping; Feroskhan, Mir<\/em>
Nanyang Technological University Singapore<\/td>\n<\/tr>\n
9:40<\/td>\n198:<\/em> Artificial Intelligence for Labor Market Analysis: Using BERT Models to Align Professional Education and Labor Market Demands<\/strong>
MICHEL, RODRIGO; Lima, Yuri; Braga, Cicero; Fernandez, Luiz Cl\u00e1udio Frederico; PEREIRA, INES FILIPA<\/em>
National Commercial Apprenticeship Service (SENAC)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n\n\n
Session Multimedia-1: Multimedia and Virtual Reality and Teleoperation<\/strong>
\n9\/5\/26, 8:00-10:00<\/em>, Room:<\/strong> Aula 103<\/td>\n<\/tr>\n
8:00<\/td>\n6:<\/em> KARINA: Knowledge-Augmented Representation for Ingredient-Level Nutrition Analysis from Food Images<\/strong>
Pan, Chieh-Yu; Chu, Wei-Ta<\/em>
National Cheng Kung University<\/td>\n<\/tr>\n
8:20<\/td>\n21:<\/em> Lightweight U-Net Autoencoders with Semantic Compression for Unsupervised Fault Detection in Water Distribution Systems<\/strong>
Li, Qimeng; Islam, Md Babul; Chen, Shuaijie; Qi, Wen; Massimo, Guarascio; Vinci, Andrea; Guerrieri, Antonio; Cicirelli, Franco; Fortino, Giancarlo<\/em>
University of Calabria<\/td>\n<\/tr>\n
8:40<\/td>\n30:<\/em> Robust Continuous Hand Gesture Spotting: An Empirical Study with Deep Sequential Encoding and Probabilistic Time-Series Modeling<\/strong>
Lee, Hyeonkyu; Lee, Young-Eun; Park, Jaeheung; PARK, MOONJU<\/em>
Incheon National University<\/td>\n<\/tr>\n
9:00<\/td>\n66:<\/em> An Investigation of Topological Machine Learning in Industrial Domain: Application to Tyre Noise Prediction<\/strong>
De Benedictis, Serena Grazia; Del Buono, Nicoletta; DI LASCIO, ELENA; Rancati, Andrea; Melas, Nicola; Pece, Gabriele<\/em>
University of Bari Aldo Moro<\/td>\n<\/tr>\n
9:20<\/td>\n108:<\/em> Phase-Aware Deep Learning with Complex-Valued CNNs for Audio Signal Applications<\/strong>
Agrawal, Naman<\/em>
National University of Singapore<\/td>\n<\/tr>\n
9:40<\/td>\n126:<\/em> CATS: Cross-Modal Autoencoding for Time Series Summarization<\/strong>
Strem, Nika; Joshy, Nikhila; Dhami, Devendra; Kersting, Kristian<\/em>
ABB Corporate Research Germany<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n\n\n
Session Human-Robot-4: Human-robot collaboration<\/strong>
\n9\/5\/26, 8:00-10:00<\/em>, Room:<\/strong> Aula 104<\/td>\n<\/tr>\n
8:00<\/td>\n419:<\/em> Sustainability-Aware Multi-Agent Reinforcement Learning for UAV Response and Monitoring with Joint Communication and Sensing<\/strong>
guven, islam; Parlak, Mehmet; lederer, dimitri<\/em>
Universit\u00e9 catholique de Louvain<\/td>\n<\/tr>\n
8:20<\/td>\n434:<\/em> A Systematic Framework for Enterprise Knowledge Retrieval: Leveraging LLM-Generated Metadata to Enhance RAG Systems<\/strong>
Mishra, Pranav Pushkar; Yeole, Kranti; Keshavamurthy, Ramyashree; Surana, Mokshit Bharat; Sarayloo, Fatemeh<\/em>
University of Illinois Chicago<\/td>\n<\/tr>\n
8:40<\/td>\n450:<\/em> Fine-Grained Prostate Cancer Tissue Classification Through Expert-Annotated Dataset and Clinically Interpretable Deep Learning<\/strong>
Ayensa-Jimenez, Jacobo; Navarro, Denis; Sevillano-Garc\u00eda, Iv\u00e1n; Mena, Andres; Marquina, Isabel; Hakim, Sofia; alfaro-torres, jorge; Herrera, Francisco; Doblare, Manuel; Borque-Fernando, Angel<\/em>
Instituto de Investigaci\u00f3n Sanitaria de Arag\u00f3n<\/td>\n<\/tr>\n
9:00<\/td>\n463:<\/em> Detection of Dynamic Frame Alteration in IoT Video Streams<\/strong>
Nchelem, Buduka Cherish; Singh, Amit Kumar; Mouratidis, Haralambos; Urbi, Chatterjee<\/em>
University of Essex<\/td>\n<\/tr>\n
9:20<\/td>\n493:<\/em> Unsupervised and Decentralized Traffic Incident Detection via Network Lasso<\/strong>
Zhu, Qiyuan; Zhao, Zhuowei; Qin, Kai; Dia, Hussein; Grzybowska, Hanna<\/em>
Swinburne University of Technology<\/td>\n<\/tr>\n
9:40<\/td>\n545:<\/em> A Shape Is Worth 512 Numbers: Spectral-domain Diffusion Modeling for 3D Shape Generation<\/strong>
Fan, Jiajie; Trigui, Amal; Bonfanti, Andrea; Dietrich, Felix; B\u00e4ck, Thomas; Wang, Hao<\/em>
University Leiden<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n\n\n
Session Sust-Trust-AI-1: Sustainable and Trustworthy AI<\/strong>
\n9\/5\/26, 8:00-10:00<\/em>, Room:<\/strong> Aula 105<\/td>\n<\/tr>\n
8:00<\/td>\n22:<\/em> MonoM: Enhancing Monotonicity in Learned Cardinality Estimators<\/strong>
Lyu, Yi; Wang, Yuanbiao; Feng, Weiqi; Kan, Yuhong<\/em>
University of Wisconsin-Madison<\/td>\n<\/tr>\n
8:20<\/td>\n23:<\/em> Leveraging Artificial Intelligence for the Multi-Objective Optimization of Energy Communities<\/strong>
Cojocaru, Maria Ruxandra; Vallejo Espa\u00f1a, Daniel; Criado-Ram\u00f3n, David; Baca Ruiz, Luis Gonzaga; Pegalajar Jim\u00e9nez, Maria Carmen<\/em>
University of Granada<\/td>\n<\/tr>\n
8:40<\/td>\n35:<\/em> Utilization of AI-Enabled Speech-to-Text Documentation Versus Manual Data Entry in Medical Outpatient Department Practice: Errors, Misconceptions, and Comparative Analysis<\/strong>
Mohammed, Mudassir; Mohammed, Mushtaq<\/em>
Muffakham jah college of engineering<\/td>\n<\/tr>\n
9:00<\/td>\n53:<\/em> DRIFTS: Robustness for Time-Series Is Feasible, Distributed, and Fun<\/strong>
Amadori, Daniel; Chini, Emanuele; Sala, Pietro<\/em>
University of Verona<\/td>\n<\/tr>\n
9:20<\/td>\n64:<\/em> Poisoning Object Detection Models for Surface Defect Inspection in Steel Manufacturing<\/strong>
Johansson, Jaan; Belmerhnia, Leila; Spathoulas, Georgios; Marchal, Samuel<\/em>
VTT Technical Research Centre of Finland<\/td>\n<\/tr>\n
9:40<\/td>\n79:<\/em> Multi-Output Prediction of Occupant Behavior Using Multi-Head Attention: A Case Study in an Office Setting<\/strong>
BOUYAKHSAINE, Khadija; BRAKEZ, Abderrahim; ADDI, Khalid; PAYET, Maareva<\/em>
PIMENT Laboratory, University of La R\u00e9union, Tampon, Reunion<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n\n\n
Session GenAI-7: Generative AI Models, AI in Education and Agentic AI<\/strong>
\n9\/5\/26, 8:00-10:00<\/em>, Room:<\/strong> Aula 106<\/td>\n<\/tr>\n
8:00<\/td>\n322:<\/em> Debiasing and Explainability Effectiveness of LLM Tuning: A Quantitative Approach<\/strong>
Mauri, Lara; Preda, Federico; Damiani, Ernesto<\/em>
Universita' degli Studi di Milano<\/td>\n<\/tr>\n
8:20<\/td>\n328:<\/em> SUVI: Scalable Unified Vector Intelligence for Efficient Edge Deployment<\/strong>
Vyas, Nakul<\/em>
TGU-4187 Heysuvi Labs, TTI \u0096 Technology Transfer Initiative GmbH at the University of Stuttgart; Estonian Business School<\/td>\n<\/tr>\n
8:40<\/td>\n339:<\/em> OGD4All: A Framework for Accessible Interaction with Geospatial Open Government Data Based on Large Language Models<\/strong>
Siebenmann, Michael; Argota S\u00e1nchez-Vaquerizo, Javier; Arisona, Stefan; Samp, Krystian; Gisler, Luis; Helbing, Dirk<\/em>
ETH Z\u00fcrich, Esri R&D Center Z\u00fcrich<\/td>\n<\/tr>\n
9:00<\/td>\n342:<\/em> SIRA: A Semantic LLM-Based Agent for Interpreting and Detecting Vishing Attacks<\/strong>
HMIMOU, YASSER; Tabaa, Mohamed; KHIAT, AZEDDINE; Hidila, Zineb<\/em>
LPRI EMSI , 2IACS ENSET<\/td>\n<\/tr>\n
9:20<\/td>\n353:<\/em> Asm2Src-LLMEval: A GenAI Framework for Systematic Evaluation of LLMs on Code Tasks<\/strong>
Hamedi, Parisa; Jelodar, Hamed; Chanchal Bai, Samita; Meymani, Mohammad; Razavi-Far, Roozbeh; Ghorbani, Ali A.<\/em>
unb<\/td>\n<\/tr>\n
9:40<\/td>\n359:<\/em> A Socratic Multi-Agent Framework using LLMs for Programming Education<\/strong>
Luna, Gabriel; Xex\u00e9o, Geraldo; rodrigo, sapienza luna; Luna, Rafael<\/em>
Universidade Federal do Rio de Janeiro<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n\n\n
Session Healthcare-1: Healthcare and Life Sciences<\/strong>
\n9\/5\/26, 8:00-10:00<\/em>, Room:<\/strong> Aula 108<\/td>\n<\/tr>\n
8:00<\/td>\n28:<\/em> The Impact of Quality Control, Curated Gene Sets, and Statistical Frameworks on Alzheimer\u0092s Disease Gene Expression Analysis in Single-Cell Data<\/strong>
Petrovska, Natasha; Larrondo-Petrie, Maria; Pavlovic, Mirjana<\/em>
Florida Atlantic University<\/td>\n<\/tr>\n
8:20<\/td>\n48:<\/em> Channel&#8209;Selected Stratified Nested Cross&#8209;Validation for Clinically Relevant EEG&#8209;Based Parkinson\u0092s Disease Detection<\/strong>
Rasmussen, Nicholas Ryan; Rizk, Rodrigue; Wang, Longwei; Singh, Arun; Santosh, KC<\/em>
University of South Dakota<\/td>\n<\/tr>\n
8:40<\/td>\n54:<\/em> GeFICA : A Hybrid Evolutionary Approach in Feature and Instance Selection for Advanced Data Refinement<\/strong>
Sahebi, Golnaz; majd, amin; Plosila, Juha<\/em>
Turku University of Applied Sciences<\/td>\n<\/tr>\n
9:00<\/td>\n71:<\/em> Multi-Task Deep Learning for the Multi-Label Prediction of Neurodegenerative Diseases<\/strong>
Borsani, Thomas; Nicosia, Giuseppe; Di Fatta, Giuseppe<\/em>
Free University of Bozen-Bolzano<\/td>\n<\/tr>\n
9:20<\/td>\n73:<\/em> State-Learning of Time Series Data with Contrastive Learning<\/strong>
Overl\u00f6per, Phillip Johann; Diedrich, Alexander; Niggemann, Oliver<\/em>
Helmut-Schmidt-Universit\u00e4t<\/td>\n<\/tr>\n
9:40<\/td>\n74:<\/em> Lessons Learned in Developing Deep Learning Models for EEG-Based ADHD Detection<\/strong>
Sanchis, Javier; Garc\u00eda-Ponsoda, Sandra; Trujillo, Juan; Mat\u00e9, Alejandro; Teruel, Miguel A.<\/em>
Lucentia Research Group, Department of Software and Computing Systems, University of Alicante.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n\n\n
Session Sust-Trust-AI-4: Sustainable and Trustworthy AI<\/strong>
\n9\/5\/26, 8:00-10:00<\/em>, Room:<\/strong> Aula 109<\/td>\n<\/tr>\n
8:00<\/td>\n201:<\/em> MSFF-CC: Multi-Scale Feature Fusion for Robust Contrastive Clustering<\/strong>
Nayyem, Mohammad Navid; Uddin, Ifrat Ikhtear; Wang, Longwei; Santosh, KC<\/em>
University of South Dakota<\/td>\n<\/tr>\n
8:20<\/td>\n226:<\/em> LLM-Driven 3D Scene Generation of Agricultural Simulation Environments<\/strong>
Yoncalik, Arafa; Jansen, Wouter; Hasan Rahmani, Mohammad; Huebel, Nico; Steckel, Jan<\/em>
University of Antwerp<\/td>\n<\/tr>\n
8:40<\/td>\n273:<\/em> What Exactly Is a Deepfake? a Systematic Literature Analysis of Concepts, Risks, and Potentials<\/strong>
Liu, Yizhi; Viswanathan, Siva; Padmanabhan, Balaji<\/em>
University of Maryland, College Park<\/td>\n<\/tr>\n
9:00<\/td>\n320:<\/em> Wind Turbine Power Curve Modeling with Mixture of Experts<\/strong>
Mello Martins, Eduardo; Dias da Rocha Checheliski, Carolina; Piveta Pozzobon, Eug\u00eanio; Pinheiro, Humberto; Menine Schaf, Frederico; Moro Franchi, Claiton; Dias, Jo\u00e3o Paulo; Alexandro Nascimento de Andrade, Thiago<\/em>
UFSM<\/td>\n<\/tr>\n
9:20<\/td>\n679:<\/em> FLEXible: Enabling Federated Learning in Android Devices<\/strong>
Garc\u00eda-M\u00e1rquez, Mario; Rodr\u00edguez-Barroso, Nuria; Luz\u00f3n, Mar\u00eda Victoria; Herrera, Francisco<\/em>
Universidad de Granada<\/td>\n<\/tr>\n
9:40<\/td>\n329:<\/em> BananaGPT: A Zero-Shot LLM Framework for Predicting Banana Time-To-Spoilage to Reduce Food Waste<\/strong>
Zhang, Olivia<\/em>
The Hockaday School<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n\n\n
Session Human-Robot-1: Human-robot collaboration<\/strong>
\n9\/5\/26, 8:00-10:00<\/em>, Room:<\/strong> Aula 110<\/td>\n<\/tr>\n
8:00<\/td>\n51:<\/em> Cross-Household Transfer Learning Approach with LSTM-Based Demand Forecasting<\/strong>
Rahal, Manal; S. Ahmed, Bestoun; Renstr\u00f6m, Roger; Stener, Robert<\/em>
Karlstad University<\/td>\n<\/tr>\n
8:20<\/td>\n72:<\/em> AstroRAG – a Pagerank-Based Retrieval-Augmented Generation Pipeline for Question Answering in Astronomy<\/strong>
Wang, Zhifeng; Li, Jason Jingshi; Zhang, Kaihao; Sankaranarayana, Ramesh<\/em>
Australian National University<\/td>\n<\/tr>\n
8:40<\/td>\n125:<\/em> Disaster Response Gross Motor, Fine Motor and Tactile Workload Prediction Using Multi-Layer Perceptrons<\/strong>
Giolando, Mark-Robin; Adams, Julie<\/em>
Oregon State University<\/td>\n<\/tr>\n
9:00<\/td>\n149:<\/em> Combating Disinformation: A Deep Learning Approach for Supply Chain Resilience<\/strong>
Hassan, Md Rafiul; Rahman, Mohammad Anwar<\/em>
Central Connecticut State University<\/td>\n<\/tr>\n
9:20<\/td>\n202:<\/em> Explainable Machine Learning for Photovoltaic Fault Diagnosis: A Comparative Study<\/strong>
D'Aniello, Giuseppe; Della Corte, Mario; Gaeta, Matteo; Spagnuolo, Giovanni<\/em>
University of Salerno<\/td>\n<\/tr>\n
9:40<\/td>\n215:<\/em> Graph-Based Early Warning from Therapy Narratives: A System-Of-Systems Copilot for Behavioral Health<\/strong>
AlMakinah, Rawan; Canbaz, M. Abdullah<\/em>
University at Albany, SUNY<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n\n\n
Session Healthcare-4: Healthcare and Life Sciences<\/strong>
\n9\/5\/26, 8:00-10:00<\/em>, Room:<\/strong> Aula 111<\/td>\n<\/tr>\n
8:00<\/td>\n285:<\/em> An AI-Powered Predictive Platform for Early Detection of Chronic Kidney Disease<\/strong>
Mamunoori, Shivani; Palnitkar Jitendra, Shounak; Gao, Jinzhu<\/em>
University of the Pacific<\/td>\n<\/tr>\n
8:20<\/td>\n290:<\/em> SeqRisk: Transformer-Augmented Latent Variable Model for Robust Survival Prediction with Longitudinal Data<\/strong>
\u00d6&#287;retir, Mine; Koskinen, Miika; sinisalo, juha; Renkonen, Risto; L\u00e4hdesm\u00e4ki, Harri<\/em>
Aalto University<\/td>\n<\/tr>\n
8:40<\/td>\n321:<\/em> Probabilistic Causal Modelling of Factors Contributing to Stress, Anxiety, and Depression for Nurses and Social Workers<\/strong>
Shaposhnyk, Olha; Zahorska, Daria; Beck, Amy; Bright, Katherine; Duffett-Leger, Linda; Yanushkevich, Svetlana<\/em>
University of Calgary<\/td>\n<\/tr>\n
9:00<\/td>\n338:<\/em> An Automated Pipeline for Large-Scale 3D Annotation of Laparoscopic Instruments to Enable Deep Learning Tasks in Box Trainers<\/strong>
Shabir, Dehlela; Abdurahiman, Nihal; Padhan, Jhasketan; Abinahed, Julien; Shaban, Khaled; Navkar, Nikhil<\/em>
Hamad Medical Corporation<\/td>\n<\/tr>\n
9:20<\/td>\n340:<\/em> AHFF-Net: Adaptive Hierarchical Feature Fusion Via Fractal Recursive Bottlenecks for Fine-Grained Cancer Cell Classification<\/strong>
Attique Khan, Muhammad; Muhammad John, Abbas; Juan M., Gorriz<\/em>
Prince Mohammad Bin Fahd University<\/td>\n<\/tr>\n
9:40<\/td>\n367:<\/em> Scalable Inductive Graph Learning for Drug Recommendation: Bridging Link Prediction and Clinical Decision Support<\/strong>
BENTY, KEVIN; BENTY, MEVIN; CHERIAN, ALAN; RAJAN, RAJEEV<\/em>
Government Engineering College , Idukki<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n\n\n
Session Healthcare-7: Healthcare and Life Sciences<\/strong>
\n9\/5\/26, 8:00-10:00<\/em>, Room:<\/strong> Aula 112<\/td>\n<\/tr>\n
8:00<\/td>\n476:<\/em> AutoStress Benchmark: Evaluating Factors that influence Cross Dataset Generalizabilty in Stress Recognition<\/strong>
Schreiber, Paul Vinzenz; Maleshkova, Maria<\/em>
Helmut-Schmidt University<\/td>\n<\/tr>\n
8:20<\/td>\n479:<\/em> Evaluating Generalizability of Population-Based and Age-Segmented Models for Hypoglycemia Classification<\/strong>
Cinar, Beyza; Maleshkova, Maria<\/em>
Helmut-Schmidt-University\/University of the Federal Armed Forces Hamburg<\/td>\n<\/tr>\n
8:40<\/td>\n483:<\/em> Personalized Healthcare Recommendations for Diabetic Patients Using Knowledge Graph Link Prediction<\/strong>
Khan, Nasrullah; Shah, Zubair<\/em>
Hamad Bin Khalifa University<\/td>\n<\/tr>\n
9:00<\/td>\n484:<\/em> Enhancing Early-Stage Engagement Through Rapid Personalization of Caffeine Intake Recommendations<\/strong>
Wang, Kai-Lin; Chiang, Ching-Ying; Chen, Yong-Xiang<\/em>
Chung Yuan Christian University<\/td>\n<\/tr>\n
9:20<\/td>\n487:<\/em> Interpretable Topic Modeling with Online Dirichlet Compound Negative Multinomial Mixture Model and Feature Saliency<\/strong>
Bregu, Ornela; Bouguila, Nizar<\/em>
Concordia Univeristy<\/td>\n<\/tr>\n
9:40<\/td>\n495:<\/em> Automated Feature Engineering Meets Automated Machine Learning: An Empirical Evaluation for Cell Culture Process Monitoring<\/strong>
Sonnadara, Dilshan Stephen; Khuat, Thanh Tung; Musial-Gabrys, Katarzyna; Gabrys, Bogdan<\/em>
University of Technology Sydney<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n
Session Keynote1: Keynote #1: G Kumar Venayagamoorthy<\/strong>
\n9\/5\/26, 11:15-12:15<\/em>, Room:<\/strong> Sal\u00f3n de Actos<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n\n\n
Session GenAI-2: Generative AI Models, AI in Education and Agentic AI<\/strong>
\n9\/5\/26, 13:15-15:15<\/em>, Room:<\/strong> Aula 101<\/td>\n<\/tr>\n
13:15<\/td>\n40:<\/em> 1 Challenges in Data Engineering for Generative AI Applications: Analysis of Data Extraction from SEC 10-K Filings<\/strong>
Konda, Chandrashekar; Shah, Bansari<\/em>
Senior Member, IEEE<\/td>\n<\/tr>\n
13:35<\/td>\n46:<\/em> Benchmarking Foundation Models for Cross-Domain Speaker Profiling<\/strong>
Moradi, Ashkan; Falk, Tiago H.<\/em>
INRS<\/td>\n<\/tr>\n
13:55<\/td>\n47:<\/em> Dialogical Learning in the Age of Generative AI: Reclaiming Epistemic Integrity in Higher Education<\/strong>
SVEJDAROVA, Eva<\/em>
Skoda Auto University<\/td>\n<\/tr>\n
14:15<\/td>\n55:<\/em> A Dual-LLM Framework for Validating Structured Learning Scenarios: Toward Reliable AI Support for Accessible Education<\/strong>
Dev\u00e8nes, Steve; Carrino, Francesco<\/em>
Institute of Systems Engineering, School of Engineering, HES-SO Valais-Wallis University of Applied Sciences and Arts Western S<\/td>\n<\/tr>\n
14:35<\/td>\n62:<\/em> Optimizing Legal Workflows: A Cost-Performance Analysis of Fine-Tuned SLMs vs. LLMs for Document Classification<\/strong>
Miyaji, Renato; Moulin, Renato; Machado, Leonardo<\/em>
Visagio Group, Brazil<\/td>\n<\/tr>\n
14:55<\/td>\n63:<\/em> Singular Value Fine-Tuning for Efficient Device-To-Device Adaptation of Large Language Models<\/strong>
Yang, Guangzhao; Esaki, Hiroshi; Ochiai, Hideya<\/em>
The University of Tokyo<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n\n\n
Session GenAI-5: Generative AI Models, AI in Education and Agentic AI<\/strong>
\n9\/5\/26, 13:15-15:15<\/em>, Room:<\/strong> Aula 102<\/td>\n<\/tr>\n
13:15<\/td>\n213:<\/em> Reinforcement Learning-Based Optimal Secret Protection in Discrete Event Systems<\/strong>
Ren, Jie; Liu, Ruotian; Mangini, Agostino Marcello; Fanti, Maria Pia<\/em>
Polytecnic of Bari, Italy<\/td>\n<\/tr>\n
13:35<\/td>\n237:<\/em> A Variational Approach to Physics Informed Neural Network for Stochastic Partial Differential Equations<\/strong>
Slos, Robbie; Lefebvre, Tom; Wauters, Jolan; Crevecoeur, Guillaume<\/em>
UGent<\/td>\n<\/tr>\n
13:55<\/td>\n248:<\/em> An Agentic System for Schema Aware NL2SQL Generation<\/strong>
Onyango, David; Mansoor, Naseef<\/em>
Minnesota State University, Mankato<\/td>\n<\/tr>\n
14:15<\/td>\n251:<\/em> Task Aware One-Shot Pruning for Edge-Deployable Large Language Models<\/strong>
Puglisi, Adriano; Monti, Flavia; Leotta, Francesco; Napoli, Christian; Mecella, Massimo<\/em>
Sapienza Universit\u00e0 di Roma<\/td>\n<\/tr>\n
14:35<\/td>\n253:<\/em> Quantized Medical LLMs for Edge Deployment: A Privacy-Preserving RAG System<\/strong>
Bianchini, Filippo; Bianchini, Edoardo; Wyon-Boyault, Cyril; Proponnet-Guerault, Mathilde; Folco, Eric; Vuillerme, Nicolas; Mecella, Massimo<\/em>
Sapienza Universit\u00e0 di Roma<\/td>\n<\/tr>\n
14:55<\/td>\n255:<\/em> OntoCRA-NS: A Neuro-Symbolic Framework for Explainable and Auditable Cybersecurity Compliance Aligned with EU Regulatory Frameworks<\/strong>
Cosic, Jasmin; JUKAN, ADMIR; Ba&#269;a, Miroslav<\/em>
DEKRA SE<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n\n\n
Session Multimedia-2: Multimedia and Virtual Reality and Teleoperation<\/strong>
\n9\/5\/26, 13:15-15:15<\/em>, Room:<\/strong> Aula 103<\/td>\n<\/tr>\n
13:15<\/td>\n129:<\/em> Data-Driven Diagnosis for Large Cyber-Physical-Systems with Minimal Prior Information<\/strong>
Steude, Henrik; Diedrich, Alexander; Pill, Ingo; Lukas, Moddemann; Vranjes, Daniel; Niggemann, Oliver<\/em>
prokube.ai GmbH<\/td>\n<\/tr>\n
13:35<\/td>\n195:<\/em> XFODE: An Explainable Fuzzy Additive ODE Framework for System Identification<\/strong>
Ke\u00e7eci, Ertu&#287;rul; Kumbasar, Tufan<\/em>
Istanbul Technical University<\/td>\n<\/tr>\n
13:55<\/td>\n203:<\/em> Adaptive Thresholding Improves Recall in ConvLSTM-Based Video Anomaly Detection<\/strong>
Kodamy, Haneen; Shbib, Reda<\/em>
Lebanese International University<\/td>\n<\/tr>\n
14:15<\/td>\n206:<\/em> PerLiFuse: Per-Frequency Beta\u0096Liouville Fusion Networks for Fake News Detection<\/strong>
Ojo, Akinlolu Oluwabusayo; Bouguila, Nizar<\/em>
Concordia University<\/td>\n<\/tr>\n
14:35<\/td>\n224:<\/em> Breaking the Sub-Millimeter Barrier: Eyeframe Acquisition from Color Images<\/strong>
Guzm\u00e1n Castellana, Manel; Agudo, Antonio<\/em>
Institut de Rob\u00f2tica i Inform\u00e0tica Industrial, CSIC-UPC<\/td>\n<\/tr>\n
14:55<\/td>\n231:<\/em> A Lightweight Neural Network with Replicator-Enhanced Attention Modules for Thermographic Breast Cancer Screening<\/strong>
Jotiraditya, Banerjee; Rajdeep, Pal; Oscar, Ramos-Soto; Oliva, Diego; Itzel, Aranguren; Ram, Sarkar<\/em>
Universidad de Guadalajara<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n\n\n
Session Multimedia-4: Multimedia and Virtual Reality and Teleoperation<\/strong>
\n9\/5\/26, 13:15-15:15<\/em>, Room:<\/strong> Aula 104<\/td>\n<\/tr>\n
13:15<\/td>\n337:<\/em> HAViT: Historical Attention Vision Transformer<\/strong>
Banik, Swarnendu; Das, Manish; Dubey, Shiv Ram; Singh, Satish Kumar<\/em>
Indian Institute of Information Technology, Allahabad<\/td>\n<\/tr>\n
13:35<\/td>\n374:<\/em> InvPatch: Prefix-Based Conditional Generation for Inverse Dynamics<\/strong>
Rasajski, Nemanja; Makantasis, Konstantinos; Liapis, Antonios; Yannakakis, Georgios N<\/em>
Institute of Digital Games, University of Malta<\/td>\n<\/tr>\n
13:55<\/td>\n389:<\/em> Feature Fusion and Ranking for Face Forgery Detection<\/strong>
Chen, Zhentao; Li, Huimin; Hu, Junlin<\/em>
Beihang University<\/td>\n<\/tr>\n
14:15<\/td>\n415:<\/em> A Comparative Study of Text-Driven Diffusion Models for Generative Human-Like Motion<\/strong>
Ozcetin, Ali Ihsan; Tantay, Burak; Kurt, Kadir Yavuz; Temeltas, Hakan<\/em>
Istanbul Technical University<\/td>\n<\/tr>\n
14:35<\/td>\n424:<\/em> SynCAFG-Net: Synergistic Cross-Attention Feature Generation for High-Accuracy Lightweight Image Classification<\/strong>
Li, Peng; Senkerik, Roman; Kominkova Oplatkova, Zuzana<\/em>
Tomas Bata University in Zlin<\/td>\n<\/tr>\n
14:55<\/td>\n443:<\/em> C4PS: An Interactive Pipeline for Social Media Image Enhancement and Multilingual Captioning<\/strong>
Aadit Pani, Aadit Pani; Manya Jain, Manya Jain; Mavani, Megh; Mitul K M, Mitul K M; Jeethu V. Devasia, Jeethu V. Devasia<\/em>
RV University<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n\n\n
Session Sust-Trust-AI-2: Sustainable and Trustworthy AI<\/strong>
\n9\/5\/26, 13:15-15:15<\/em>, Room:<\/strong> Aula 105<\/td>\n<\/tr>\n
13:15<\/td>\n82:<\/em> Sorting Recyclable Waste under Uncertainty<\/strong>
Quenum, Jose<\/em>
Namibia University of Science and Technology<\/td>\n<\/tr>\n
13:35<\/td>\n92:<\/em> CStore: A Framework for Generating Editable, Versionable Csound Orchestra Code – From Text to Sound and Music<\/strong>
Shi, Li; Boulanger, Richard<\/em>
Berklee College of Music<\/td>\n<\/tr>\n
13:55<\/td>\n94:<\/em> Do Language Models Help or Harm? the Role of LLM-Generated Explanations in Human-AI Image Classification Tasks<\/strong>
Naiseh, Mohammad; Zieni, Baraa; Chiara, Natali; Hamid, Bouchachia<\/em>
University of Aberdeen<\/td>\n<\/tr>\n
14:15<\/td>\n110:<\/em> Constitutional Agentic Graduated Governance (CAGG): Framework for Scalable Safety for Multi-Agent AI Systems<\/strong>
Devi, Sharmila<\/em>
Google Cloud<\/td>\n<\/tr>\n
14:35<\/td>\n124:<\/em> Worker-Centered AI: Transparent Explanations for Trustworthy Task Recommendation in Crowd Work<\/strong>
Mazdarani, Fateme; Campos Hernandez, Alberto; Toxtli, Carlos<\/em>
Clemson University<\/td>\n<\/tr>\n
14:55<\/td>\n131:<\/em> Meteorological Data and Sky Images Meets Neural Models for Photovoltaic Power Forecasting<\/strong>
Montoya-Espinagosa, In\u00e9s; Agudo, Antonio<\/em>
Institut de Rob\u00f2tica i Inform\u00e0tica Industrial, CSIC-UPC<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n\n
Session GenAI-8: Generative AI Models, AI in Education and Agentic AI<\/strong>
\n9\/5\/26, 13:15-15:15<\/em>, Room:<\/strong> Aula 106<\/td>\n<\/tr>\n
13:15<\/td>\n362:<\/em> A Systematic Approach to Reducing Human Errors in Maintenance Processes Using Multi-Agents<\/strong>
qura, ahmed ismail embaby; Ibrahim, Ahmed; Zalzala, Ali<\/em>
university of essex<\/td>\n<\/tr>\n
13:35<\/td>\n381:<\/em> Fairness-Aware Federated Learning with Domain Adaptation and Class Imbalance Mitigation for Skin Lesion Classification<\/strong>
Heroza, Rahmat Izwan; Raza, Haider; Gan, John<\/em>
University of Essex<\/td>\n<\/tr>\n
13:55<\/td>\n420:<\/em> Low-Rank Prehab: Preparing Neural Networks for SVD Compression<\/strong>
Qin, Haoran; Sharma, Shansita; Thrash, Chayne; Abbasi, Ali; Kolouri, Soheil<\/em>
Vanderbilt University<\/td>\n<\/tr>\n
14:15<\/td>\n431:<\/em> Learning Collaborative Reasoning Strategies Through Trust-Weighted Multi-Agent Consensus<\/strong>
Ojha, Vaghawan; Shakya, Projan; Bataju, Kashish; Ghimire, Kristina; Mandal, Ashwini; Gyawali, Sadikshya; Awale, Manish; Dahal, Manish; Adhikari, Shital; Rijal, Sanjay; Young, You<\/em>
E.K. Solutions Pvt. Ltd, Mississippi State University<\/td>\n<\/tr>\n
14:35<\/td>\n439:<\/em> DIVA: Diverse Video Generation with Agents<\/strong>
Kazimi, Tahira; Yu, Heather; LAO, ZHIQIANG<\/em>
Virginia Tech<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n\n\n
Session Healthcare-2: Healthcare and Life Sciences<\/strong>
\n9\/5\/26, 13:15-15:15<\/em>, Room:<\/strong> Aula 108<\/td>\n<\/tr>\n
13:15<\/td>\n75:<\/em> PCR-GP: Prior-Coupled Residual Gaussian Processes for Few-Shot Lipid Nanoparticle Formulation<\/strong>
Kucia, Adrian; Sanderson, Jacob; Woo, Wai Lok; Montague, Gary; Perrie, Yvonne; Mclean, Thomas; Palmer, David Vaughan; Williams, Bruce Richard<\/em>
Northumbria University<\/td>\n<\/tr>\n
13:35<\/td>\n76:<\/em> Data-Efficient Design of Experiments for Lipid Nanoparticle Development through Prior-Informed Machine Learning<\/strong>
Sanderson, Jacob; Kucia, Adrian; Woo, Wai Lok; Montague, Gary; Perrie, Yvonne; Mclean, Thomas; Palmer, David Vaughan; Williams, Bruce Richard<\/em>
Northumbria University<\/td>\n<\/tr>\n
13:55<\/td>\n77:<\/em> Drift-Aware Temporal Graph Rewiring (DATGR) for Adaptive Semantic Modeling in Biomedical Text<\/strong>
Vijayakumar, Bharathwaj; Varadaraju, Sahana<\/em>
Rowan University<\/td>\n<\/tr>\n
14:15<\/td>\n78:<\/em> AI-Driven Scaling of Design of Experiments to High-Throughput Automation: A Genetic Algorithm for Large Orthogonal Designs<\/strong>
Lejeune Herman, Jade; Goos, Peter<\/em>
KU Leuven<\/td>\n<\/tr>\n
14:35<\/td>\n123:<\/em> Spiking vs. Artificial Neural Networks for Lung Sliding Detection in E-FAST: A Capacity-Matched Low-Data Benchmark<\/strong>
Ozbilen, Ege; Navarro, Sergio<\/em>
TED Ankara College Foundation High School<\/td>\n<\/tr>\n
14:55<\/td>\n143:<\/em> IDSD: A Novel Algorithm for Credibility-Based Subgroup Discovery for Clinical Data<\/strong>
Mora-Caselles, Francisco; Campos Martinez, Manuel; Lopez-Martinez-Carrasco, Antonio; Juarez, Jose M.<\/em>
University of Murcia<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n\n\n
Session Sust-Trust-AI-5: Sustainable and Trustworthy AI<\/strong>
\n9\/5\/26, 13:15-15:15<\/em>, Room:<\/strong> Aula 109<\/td>\n<\/tr>\n
13:15<\/td>\n341:<\/em> Evaluating Histogram Matching for Robust Deep Learning\u0096Based Grapevine Disease Detection<\/strong>
Pascual Casas, Rub\u00e9n; Hern\u00e1ndez Casado, In\u00e9s; Guti\u00e9rrez, Salvador; Tardaguila, Javier; Melo-Pinto, Pedro; Paternain, Daniel; Galar, Mikel<\/em>
Universidad P\u00fablica de Navarra<\/td>\n<\/tr>\n
13:35<\/td>\n344:<\/em> A Fuzzy Approach to Risk-Based Ethical Decision Making in Symbiotic Artificial Intelligence<\/strong>
Dyoub, Abeer; Lisi, Francesca Alessandra<\/em>
University of Bari Aldo Moro<\/td>\n<\/tr>\n
13:55<\/td>\n349:<\/em> The \u0093AI Neutrality Effect\u0094 in Political News Mitigates Hostile Media Perception<\/strong>
Yaoka, Ryoichiro; Taniguchi, Naoko; Inoue, Eri<\/em>
Keio University<\/td>\n<\/tr>\n
14:15<\/td>\n356:<\/em> GESD: Beyond Outcome-Oriented Fairness<\/strong>
Popoola, Gideon; Sheppard, John<\/em>
Montana State University<\/td>\n<\/tr>\n
14:35<\/td>\n366:<\/em> Leveraging Cross-Modal Information to Reduce Gender Bias in Facial Analysis Systems<\/strong>
Dominguez-Catena, Iris; Paternain, Daniel; Jurio, Aranzazu; Galar, Mikel<\/em>
Public University of Navarre<\/td>\n<\/tr>\n
14:55<\/td>\n382:<\/em> MSCloudCAM: Multi-Scale Context Adaptation with Convolutional Cross-Attention for Multispectral Cloud Segmentation<\/strong>
Mazid, Md Abdullah Al; Deng, Liangdong; Rishe, Naphtali<\/em>
Florida International University<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n\n\n
Session Human-Robot-2: Human-robot collaboration<\/strong>
\n9\/5\/26, 13:15-15:15<\/em>, Room:<\/strong> Aula 110<\/td>\n<\/tr>\n
13:15<\/td>\n217:<\/em> A Hierarchical Framework for the Management of Carpooling Using Autonomous Vehicles<\/strong>
Volpe, Gaetano; Salcuni, Antonio; Liu, Ruotian; Mangini, Agostino Marcello; Fanti, Maria Pia<\/em>
Polytecnic of Bari, Italy<\/td>\n<\/tr>\n
13:35<\/td>\n396:<\/em> Privacy-Preserved Platform-Edge Passenger Detector : 3D Point Cloud Data and Deep Learning to Prevent Station Accidents<\/strong>
Matsuno, Moe; Premachandra, Chinthaka<\/em>
Shibaura Institute of Technology<\/td>\n<\/tr>\n
13:55<\/td>\n242:<\/em> Nonparametric Neural Variational Inference for McDonald's Beta Mixture Models with Feature Selection<\/strong>
Azzam, Diaa; Bouguila, Nizar; Azam, Muhammad<\/em>
Concordia University<\/td>\n<\/tr>\n
14:15<\/td>\n247:<\/em> CT-SAFR: Safe and Interpretable Chain-Of-Thought Reasoning for Autonomous Robots<\/strong>
Temel, Cagri<\/em>
Hezarfen LLC<\/td>\n<\/tr>\n
14:35<\/td>\n279:<\/em> SAFE-GUARD: Audio Emotion Recognition System for Real-Time Public Place Abuse Detection<\/strong>
Mittal, Kanan; Chawla, Rashmi; Fortino, Giancarlo<\/em>
JCBoseUST\/Univ. of Calabria<\/td>\n<\/tr>\n
14:55<\/td>\n306:<\/em> HySMOTE: A Hybrid Approach for Handling Class Imbalances<\/strong>
Qureshi, Asifa Mehmood; Kaushik, Abhishek; Loughran, R\u00f3is\u00edn; Mc Caffery, Fergal<\/em>
Dundalk Institute of Technology, Dundalk, Ireland<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n\n\n
Session Healthcare-5: Healthcare and Life Sciences<\/strong>
\n9\/5\/26, 13:15-15:15<\/em>, Room:<\/strong> Aula 111<\/td>\n<\/tr>\n
13:15<\/td>\n371:<\/em> A Multi-Model Ensemble YOLO Framework for Automated Detection of Dental Pathologies in Low-Quality Panoramic Radiographs<\/strong>
Haider, Malik Haseeb; Raza, Haider; Filder, Ale\u009a; Koya, Rabiya; Chaurasia, Akhilanand<\/em>
University of Essex<\/td>\n<\/tr>\n
13:35<\/td>\n375:<\/em> Evaluation of a Transfer-Learning Strategy for a Prototype Wearable sEMG Armband Trained for Upper Limb Grasp Classification<\/strong>
Escobar-Saltaren, Daniel; Salazar S\u00e1nchez, Maria Bernarda; Henao-Aguirre, Sofia C.<\/em>
University of Antioquia<\/td>\n<\/tr>\n
13:55<\/td>\n377:<\/em> Mitigating Distributional Shifts in Predicting Conformational Properties of Intrinsically Disordered Proteins<\/strong>
Linares Gonzalez, Diego Fernando; Ibrahim, Shahana; Atia, George; Bhattacharya, Aniket<\/em>
University of Central Florida<\/td>\n<\/tr>\n
14:15<\/td>\n380:<\/em> Size Matters: Reconstructing Real-Scale 3D Models from Monocular Images for Food Portion Estimation<\/strong>
Vinod, Gautham; Coburn, Bruce; Raghavan, Siddeshwar; He, Jiangpeng; Zhu, Fengqing<\/em>
Purdue University<\/td>\n<\/tr>\n
14:35<\/td>\n384:<\/em> GlucoGuardian: An AI-Powered Platform for Diabetes Management<\/strong>
Pathuri, Bhargavi; Palnitkar Jitendra, Shounak; Basina, Likhitha; Gao, Jinzhu<\/em>
University of the Pacific<\/td>\n<\/tr>\n
14:55<\/td>\n401:<\/em> Automated Chunking of Clinical Video Interviews: A Case Study in Multimodal Suicide Risk Assessment<\/strong>
Meraliyev, Bakhtiyor; Shoiynbek, Aisultan; Kuanyshbay, Darkhan; Menezes, Paulo; Mukhametzhanov, Assylbek; Shoiynbek, Temirlan; Abdikenov, Nurzhas; Bolatova, Aiganym<\/em>
SDU University<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n\n
Session Bi-Fin-1: Business Intelligence \/ Finance<\/strong>
\n9\/5\/26, 13:15-15:15<\/em>, Room:<\/strong> Aula 112<\/td>\n<\/tr>\n
13:15<\/td>\n38:<\/em> An AI-Driven Business Intelligence Framework for Churn Prediction and Geospatial Scoring in the Removals Sector<\/strong>
Sarma, Minerva; Raza, Haider; Mouratidis, Haralambos; Bedding, Jake; Sedley-Burke, Joanna<\/em>
University of Essex<\/td>\n<\/tr>\n
13:35<\/td>\n87:<\/em> Ensemble Learning Methods As a Tool for More Robust Prediction of Mobile Payment Usage<\/strong>
Godz, Mariia; Pelta, David A.; Lara-Rubio, Juan; Li\u00e9bana-Cabanillas, Francisco<\/em>
Universidad de Granada<\/td>\n<\/tr>\n
13:55<\/td>\n128:<\/em> From 10-K to Industry Multi-Labels: A Bottom-Up LLM-Driven Product Clustering with Pareto Frontier Analysis<\/strong>
Huang, Zihao; Quek, Joel; Huang, Kewei<\/em>
National University of Singapore<\/td>\n<\/tr>\n
14:15<\/td>\n269:<\/em> Diffusion-based data augmentation for short-term multivariate energy prediction in data-scarce scenarios<\/strong>
Bompai, Stelio; Kontopoulos, Ioannis; Tserpes, Konstantinos<\/em>
National Technical University of Athens<\/td>\n<\/tr>\n
14:35<\/td>\n309:<\/em> A Dual-LLM Framework with RAG for Mitigating Data Leakage in GDPR-Compliant Financial Chatbots<\/strong>
Busilas, Andrius; Zalzala, Ali<\/em>
Danske Bank A\/S<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n
Session Keynote2: Keynote #2: Juan Bernab\u00e9-Moreno<\/strong>
\n9\/5\/26, 15:15-16:15<\/em>, Room:<\/strong> Sal\u00f3n de Actos<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n\n\n
Session GenAI-3: Generative AI Models, AI in Education and Agentic AI<\/strong>
\n9\/5\/26, 16:45-18:45<\/em>, Room:<\/strong> Aula 101<\/td>\n<\/tr>\n
16:45<\/td>\n67:<\/em> Robust Training of Large Language Models under Non-IID Data in Wireless Ad Hoc Federated Learning<\/strong>
Tanaka, Motoki; Esaki, Hiroshi; Ochiai, Hideya<\/em>
The University of Tokyo<\/td>\n<\/tr>\n
17:05<\/td>\n85:<\/em> Testing Method for Language Model Evaluation: A Case Study on a Localized Question Bank<\/strong>
Yeh, Tsu-Yi; Hsieh, Po-Yu; Huang, Cheng-Chuan; Wang, Pang-Chieh; Wang, Tzy-Shiah; Li, Yu-Tai<\/em>
Industrial Technology Research Institute (ITRI)<\/td>\n<\/tr>\n
17:25<\/td>\n100:<\/em> AI Agent-Based Sound Dataset Generation and Neural Network Classification<\/strong>
Almokaddem, Zahraa; Tawil, Rami; Thani, Reza<\/em>
lebanese university<\/td>\n<\/tr>\n
17:45<\/td>\n102:<\/em> Quantifying the Effects of Prompt Design on LLM Output Uniformity for Qualitative Tasks<\/strong>
Radivojevic, Kristina; Ribeiro Soares, Ana Beatriz; Gicheha, Susan; Schirch, Lisa; Brenner, Paul<\/em>
University of Notre Dame<\/td>\n<\/tr>\n
18:05<\/td>\n104:<\/em> Online Routing Problems under Spatial Locality<\/strong>
Guragain, Swapnil; Sharma, Gokarna<\/em>
Kent State University<\/td>\n<\/tr>\n
18:25<\/td>\n133:<\/em> AI-Powered Intelligent Tutoring Systems for Programming Education: A Comprehensive Survey<\/strong>
Shinde, Tanmay; Shaikh, Jannat; Chandarki, Arshia; Gautam, Ayushi; Falak, Deepika<\/em>
Trinity College of Engineering and Research<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n\n\n
Session GenAI-6: Generative AI Models, AI in Education and Agentic AI<\/strong>
\n9\/5\/26, 16:45-18:45<\/em>, Room:<\/strong> Aula 102<\/td>\n<\/tr>\n
16:45<\/td>\n263:<\/em> NewsGuard-LLM: A Lightweight, Dynamic Large Language Model Based Framework for Real-Time Threat Detection in Digital News Streams<\/strong>
Jadhav, Gaurav; Rajendran, Jagadesh; Singh, Amit Kumar; Khanam, Zeba; Hercock, Robert<\/em>
BT Group<\/td>\n<\/tr>\n
17:05<\/td>\n264:<\/em> GLITCH_AI: A Hybrid Framework for Automated Penetration Testing with LLM-Driven Adaptation and Reporting<\/strong>
Herrero, Maria Gonzalez; Singh, Amit Kumar; Khanam, Zeba<\/em>
BT Group<\/td>\n<\/tr>\n
17:25<\/td>\n268:<\/em> Ensuring Consistency of Large Language Model Outputs for Similar Prompts Using Group Relative Policy Optimization<\/strong>
Prabhune, Sonal; Padmanabhan, Balaji; Dutta, Kaushik<\/em>
University of South Florida<\/td>\n<\/tr>\n
17:45<\/td>\n280:<\/em> Tool and Agent Selection for Large Language Model Agents in Production: A Survey<\/strong>
Lumer, Elias; Anmol, Gulati; Nizar, Faheem<\/em>
PricewaterhouseCoopers<\/td>\n<\/tr>\n
18:05<\/td>\n287:<\/em> Failure Modes in LLM Systems: A System-Level Taxonomy for Reliable AI Applications<\/strong>
Vinay, Vaishali<\/em>
Microsoft<\/td>\n<\/tr>\n
18:25<\/td>\n301:<\/em> CADEMAS — a Framework for Cooperative Automated Decision-Making Systems<\/strong>
Novoa-Hernandez, Pavel; Pelta, David A.; Godz, Mariia; Verdegay, Jos\u00e9 L.; Buendia-Carrillo, Dionisio<\/em>
Universidad de Granada<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n\n\n\n
Session Multimedia-3: Multimedia and Virtual Reality and Teleoperation<\/strong>
\n9\/5\/26, 16:45-18:45<\/em>, Room:<\/strong> Aula 103<\/td>\n<\/tr>\n
16:45<\/td>\n239:<\/em> Systematic Characterization of Minimal Deep Learning Architectures: A Unified Analysis of Convergence, Pruning, and Quantization<\/strong>
Zheng, Ziwei; Liang, Huizhi; Snasel, Vaclav; Pardalos, Panos; Latora, Vito; Nicosia, Giuseppe; Ojha, Varun<\/em>
Newcastle University<\/td>\n<\/tr>\n
17:05<\/td>\n266:<\/em> Performance-Based Engineering for 3D Object Generation with Limited Data and Conditions<\/strong>
Hohmann, Michael; Diasso, Abdou; Windmann, Alexander; Weber, Wolfgang; Niggemann, Oliver<\/em>
Helmut-Schmidt-University<\/td>\n<\/tr>\n
17:25<\/td>\n289:<\/em> SAILS: Segment Anything with Incrementally Learned Semantics for Task-Invariant and Training-Free Continual Learning<\/strong>
Muralidhara, Shishir; Stricker, Didier; Schuster, Ren\u00e9<\/em>
German Research Center for Artificial Intelligence (DFKI)<\/td>\n<\/tr>\n
17:45<\/td>\n297:<\/em> A Universal Action Space for General Behavior Analysis<\/strong>
Chang, Hung-Shuo; Yang, Yue-Cheng; Chen, Yu-Hsi; Wang, Chien-Yao; Liao, Hong-Yuan Mark<\/em>
Academia Sinica<\/td>\n<\/tr>\n
18:05<\/td>\n302:<\/em> Evaluating Different Alternatives for Few-Shot Style Consistent Character Generation<\/strong>
Gonz\u00e1lez Miranda, Roberto; Pascual Casas, Rub\u00e9n; Sesma-Sara, Mikel; Galar, Mikel<\/em>
Universidad P\u00fablica de Navarra<\/td>\n<\/tr>\n
18:25<\/td>\n330:<\/em> Trajectory-Aware Deformable Transformer for Contextual Video Prediction<\/strong>
Kamtam, Sidharth Bhanu; Lu, Qian; Haas, Olivier; Birrell, Stewart<\/em>
Coventry University<\/td>\n<\/tr>\n
18:45<\/td>\n334:<\/em> Benchmarking Deep Learning Models for Aerial LiDAR Point Cloud Semantic Segmentation under Real Acquisition Conditions: A Case Study in Navarre<\/strong>
Salvatierra, Alex; Sanz Delgado, Jos\u00e9 Antonio; Guti\u00e9rrez Lancho, Christian; Galar, Mikel<\/em>
Public University of Navarre (UPNA)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n\n\n
Session Sust-Trust-AI-7: Sustainable and Trustworthy AI<\/strong>
\n9\/5\/26, 16:45-18:45<\/em>, Room:<\/strong> Aula 104<\/td>\n<\/tr>\n
16:45<\/td>\n428:<\/em> Modeling Mind and Mood with CLAIRE: A Cognitive-Linguistic Architecture for Interpretable Reasoning and Emotion<\/strong>
Bhatt, Vishwa; Rajani, Nainesh; Diaz, Dylan; Thakar, Divya; dajani, khalil; Jin, Jennifer<\/em>
California State University, San Bernardino, USA<\/td>\n<\/tr>\n
17:05<\/td>\n437:<\/em> Ethical and Explainable AI in Reusable MLOps Pipelines<\/strong>
Hossain, Rakib; Al Amin, Lisan; Menon Khan, Mahmood; Parikh, Dhruv; Afroz, Farhana; S. Ahmed, Bestoun<\/em>
Karlstad University<\/td>\n<\/tr>\n
17:25<\/td>\n438:<\/em> Synthesize, Adapt, Steal: A Few-Shot Domain Adaptive Model Stealing Attack for Tabular Data<\/strong>
Schwarzer, Maxime Michel; Sanchez, Gustavo; Moehlenhof, Thies; Holz, Laurin; Loevenich, Johannes Franz; Rigolin F Lopes, Roberto; Hagenmeyer, Veit<\/em>
Karlsruhe Institute of Technology, Thales<\/td>\n<\/tr>\n
17:45<\/td>\n441:<\/em> Election-Based Task Pruning in Mixture-Of-Experts for Scalable Multi-Task Learning<\/strong>
Bachinin, Andrei; Pallickara, Shrideep; Pallickara, Sangmi Lee<\/em>
Colorado State University<\/td>\n<\/tr>\n
18:05<\/td>\n442:<\/em> Mechanistic Interpretability of Large Language Models using Kolmogorov-Arnold Networks<\/strong>
Adler, Erik; Loevenich, Johannes Franz; Kluge, Silja; Holz, Laurin; H\u00fcrten, Tobias; Spelter, Florian; Rigolin F Lopes, Roberto<\/em>
Karlsruhe Institute of Technology<\/td>\n<\/tr>\n
18:25<\/td>\n453:<\/em> An Optimization Framework for Balancing Accuracy and Fairness in Social-Choice Group Recommendation<\/strong>
Yera, Raciel; Dutta, Bapi; Martinez, Luis<\/em>
University of Ja\u00e9n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n\n\n
Session Sust-Trust-AI-3: Sustainable and Trustworthy AI<\/strong>
\n9\/5\/26, 16:45-18:45<\/em>, Room:<\/strong> Aula 105<\/td>\n<\/tr>\n
16:45<\/td>\n134:<\/em> The Epistemic Limits of NLP Models in Media Bias Detection: Toward a Framework for Context-Aware and Reflexive AI Systems<\/strong>
Rodrigo-Gin\u00e9s, Francisco-Javier; Chamorro-Padial, Jorge; Rodr\u00edguez D\u00edaz, Pablo<\/em>
T-Systems Iberia<\/td>\n<\/tr>\n
17:05<\/td>\n142:<\/em> A Survey of Multilayer Cybersecurity Threats in Connected and Autonomous Vehicles: Risks Across V2X and Edge Computing<\/strong>
Asaju, Babajide J.<\/em>
Naval Postgraduate School<\/td>\n<\/tr>\n
17:25<\/td>\n146:<\/em> ReForCast-AI: Trustworthy and Explainable Probabilistic Forecasting for Solar and Wind Power<\/strong>
Pasupuleti, Satya Dev; Ludwig, Simone<\/em>
North Dakota State University<\/td>\n<\/tr>\n
17:45<\/td>\n191:<\/em> Design and Simulation of a Battery Electric Vehicle Model for Underground Mining Applications with Synthetic Data Generation for Machine Learning Model<\/strong>
TAMSA, TAMSA; Garg, Arpit; L. Soong, Wen; Pourmousavi Kani, S. Ali<\/em>
The University of Adelaide<\/td>\n<\/tr>\n
18:05<\/td>\n193:<\/em> Smoothed Nonparametric Hierarchical Topic Modeling with Global Topic-Word Distributions Via the Nested Dirichlet Distribution<\/strong>
Alkhawaja, Fares; Fkiri, Ghazi; Amayri, Manar; Bouguila, Nizar<\/em>
Concordia university<\/td>\n<\/tr>\n
18:25<\/td>\n200:<\/em> Causal Modeling of the Fairness and Usefulness Trade-Off in Remedial Social Programs with Application in Student Financial Support<\/strong>
Alhossaini, Maher; Aloqeely, Mohammed<\/em>
King Saud University<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n\n\n
Session GenAI-9: Generative AI Models, AI in Education and Agentic AI<\/strong>
\n9\/5\/26, 16:45-18:45<\/em>, Room:<\/strong> Aula 106<\/td>\n<\/tr>\n
16:45<\/td>\n444:<\/em> Interpreting Text-to-Image Diffusion Through Structured Prompts and Cross-Attention Attribution<\/strong>
Auman, Christian; Bhati, Deepshikha; Guercio, Angela; Neha, Fnu<\/em>
Kent State University<\/td>\n<\/tr>\n
17:05<\/td>\n447:<\/em> Retrieval-Augmented AI Feedback to Improve Metacognition and Equity in STEM Education<\/strong>
Bhati, Deepshikha; Le, Tram; Guercio, Angela; Auman, Christian; Bandaru, Devi Sri<\/em>
Kent State University<\/td>\n<\/tr>\n
17:25<\/td>\n458:<\/em> SWin: A Sliding Window Summarization Approach for Coherent LLM-Driven Dialogue Systems<\/strong>
Savant, Shreya Prithviraj; Yan, Jun; Zhao, Yiheng; Rengarajan, Nanda Kumar<\/em>
Concordia University<\/td>\n<\/tr>\n
17:45<\/td>\n472:<\/em> Multi-Agent Collaboration for Semantic-Aware 3D Scene Synthesis in Critical-Safety Applications<\/strong>
&#272;inh, Xu\u00e2n V&#361;; Hao, Vo; Viet, Hoang Quoc Viet Pham; David, David Murphy; Nguyen, Hoang D.<\/em>
University of Information Technology, VNU-HCM<\/td>\n<\/tr>\n
18:05<\/td>\n478:<\/em> Mitigating LLM Limitations in Learning Environments through Retrieval-Based Knowledge Integration<\/strong>
Rita, Bezerra; Adelino, Gala; Francisco, S. Marcondes; Duraes, Dalila; Novais, Paulo<\/em>
Algoritmi Centre\/LASI, University of Minho Braga<\/td>\n<\/tr>\n
18:25<\/td>\n481:<\/em> DSFF: Dynamic\u0096Static Feature Fusion Framework for Robust Cross-Dataset Deepfake Detection<\/strong>
Huang, Hui-Ying; Huang, Ming-Yi; Teng, Hao; Lin, Chia-Yu<\/em>
National Central University<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n\n\n\n
Session Healthcare-3: Healthcare and Life Sciences<\/strong>
\n9\/5\/26, 16:45-18:45<\/em>, Room:<\/strong> Aula 108<\/td>\n<\/tr>\n
16:45<\/td>\n182:<\/em> CFCT: A Framework Using ConvNeXt with FPN, CBAM and a Topology Enhanced Loss Function for Skin Lesion Segmentation<\/strong>
Rahman, Md Shakilur; Cheng, Hong<\/em>
Southern Arkansas University<\/td>\n<\/tr>\n
17:05<\/td>\n197:<\/em> Learning to Select Like Humans: Explainable Active Learning for Medical Imaging<\/strong>
Uddin, Ifrat Ikhtear; Wang, Longwei; Qin, Xiao; Zhou, Yang; Santosh, KC<\/em>
University of South Dakota<\/td>\n<\/tr>\n
17:25<\/td>\n230:<\/em> Multi-Objective Evolutionary Optimisation for Enhanced Ethanol Production Under Mixed Carbon Sources Different Combinations of Carbon Sources<\/strong>
Rosani, Andrea; Jansen, Giorgio; Jole, Costanza; Borsani, Thomas; Di Fatta, Giuseppe; Nicosia, Giuseppe<\/em>
Free University of Bozen-Bolzano<\/td>\n<\/tr>\n
17:45<\/td>\n235:<\/em> Adaptive Coastline Detection Based on Deep Q-Network-Guided Contour Refinement<\/strong>
Zhen, Tian; Qiyuan, Wang; Anagnostopoulos, Christos; Zhiwei, Gao; Kolomvatsos, Kostas<\/em>
University of Glasgow<\/td>\n<\/tr>\n
18:05<\/td>\n257:<\/em> Analysis of Diagnostic Data Via Oriented Conditional Leverage<\/strong>
Balc\u00e1zar, Jos\u00e9 Luis<\/em>
Universitat Polit\u00e8cnica de Catalunya<\/td>\n<\/tr>\n
18:25<\/td>\n261:<\/em> Advanced Methodologies for ICD-10-PCS Medical Procedure Coding Using Large Language Models and Retrieval-Augmented Generation<\/strong>
Vieira, Armando<\/em>
tartu<\/td>\n<\/tr>\n
18:45<\/td>\n271:<\/em> The Impact of Ontology Structure in the Performance of RAG Systems: a Medical Use Case<\/strong>
Lin, Damon; Riquelme-Garc\u00eda, Andrea; Fern\u00e1ndez Breis, Jesualdo Tom\u00e1s; Anderson, Paul<\/em>
California Polytechnic State University<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n\n\n
Session Sust-Trust-AI-6: Sustainable and Trustworthy AI<\/strong>
\n9\/5\/26, 16:45-18:45<\/em>, Room:<\/strong> Aula 109<\/td>\n<\/tr>\n
16:45<\/td>\n400:<\/em> Functional Modularity from Activation Patterns Only<\/strong>
Montresor, Cesare; Sala, Pietro<\/em>
University of Verona<\/td>\n<\/tr>\n
17:05<\/td>\n404:<\/em> Cyclical Temporal Encoding and Hybrid Deep Ensembles for Multistep Energy Forecasting<\/strong>
Salim, Khazem; Houssam, Kanso<\/em>
Talan Research & Innovation Center<\/td>\n<\/tr>\n
17:25<\/td>\n407:<\/em> Shapley Interaction Networks for Explaining the Clinical Course of Gambling Disorder<\/strong>
Gomez-Talal, Ismael; Basurte-Villamor, Ignacio; Azizsoltani, Mana; Vega, Pablo; Gonzalez-Pe\u00f1as, Javier; Ferre, Francisco; Szerman, Nestor<\/em>
Rey Juan Carlos University<\/td>\n<\/tr>\n
17:45<\/td>\n414:<\/em> A Hybrid Deterministic Framework for Named Entity Extraction in Broadcast News Video<\/strong>
Lucas, Andrea Filiberto; Seychell, Dylan<\/em>
University of Malta<\/td>\n<\/tr>\n
18:05<\/td>\n416:<\/em> MIFair: A Mutual-Information Framework Addressing Intersectionality and Multiclass Fairness<\/strong>
Monnier, Jeanne; George, Thomas; Guyard, Fr\u00e9d\u00e9ric; Tarnec, Christ\u00e8le; Kountouris, Marios<\/em>
Orange, Eurecom<\/td>\n<\/tr>\n
18:25<\/td>\n421:<\/em> Alternating Bi-Objective Optimization for Explainable Neuro-Fuzzy Systems<\/strong>
Khaled, Qusai; Genga, Laura; Kaymak, Uzay<\/em>
Eindhoven University of Technology<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n\n\n
Session Human-Robot-3: Human-robot collaboration<\/strong>
\n9\/5\/26, 16:45-18:45<\/em>, Room:<\/strong> Aula 110<\/td>\n<\/tr>\n
16:45<\/td>\n308:<\/em> Cross-Platform DNA Methylation Classifier for the 8 Molecular Subtypes of Group 3\/4 Medulloblastoma<\/strong>
Abid, Omer; Rafiee, Gholamreza<\/em>
Queen's University Belfast<\/td>\n<\/tr>\n
17:05<\/td>\n327:<\/em> Hybrid 3D Asset Retrieval Via Contrastive Vision-Language Matching and Structured Prompt Parsing<\/strong>
Alkhaldi, Ahmad; Balla, Igli; El Bouazzaoui, Rahma; Chakravorty, Tirthendu Prosad; Rexha, Hergys; Lafond, Sebastien; Klempka, Tristan<\/em>
\u00c5bo Akademi University<\/td>\n<\/tr>\n
17:25<\/td>\n350:<\/em> Active Learning and Explainable AI for Multiobjective Optimization of Spin Coated Polymers<\/strong>
Young, Brendan; Alvey, Brendan; Werbrouck, Andreas; Murphy, Will; Keller, James; Young, Matthias; Maschmann, Matthew<\/em>
University of Missouri – Columbia<\/td>\n<\/tr>\n
17:45<\/td>\n379:<\/em> Spatio-Temporal Modeling Using a Cost-Effective System for Air Quality Monitoring<\/strong>
Karmoude, Manal; Munhungewarwa, Brenton; Mckenzie, Ryan; Kong, Jude; Smith, Bevan; Chabalala, Vongani; Ngobeni, Donald; Chandna, Raghav; Kumar, Mukesh; Benaini, Redouane; Mellado, Bruce<\/em>
University of Witwatersrand<\/td>\n<\/tr>\n
18:05<\/td>\n219:<\/em> Dynamic Time Series Clustering for Novelty Detection in Screw-Tightening Processes on Engine Assembly Lines<\/strong>
Robles, Victor; Hern\u00e1ndez Jim\u00e9nez, Daniel; Sainz-Palmero, Gregorio I.; Galende-Hern\u00e1ndez, Marta; de la Fuente, Mar\u00eda Jes\u00fas<\/em>
HORSE Spain, Universidad de Valladolid<\/td>\n<\/tr>\n
18:25<\/td>\n418:<\/em> Multi-Agent Reinforcement Learning for Time-Critical UAV Medical Supply Delivery with Dynamic Task Allocation<\/strong>
guven, islam; Parlak, Mehmet<\/em>
Universit\u00e9 catholique de Louvain<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n\n\n
Session Healthcare-6: Healthcare and Life Sciences<\/strong>
\n9\/5\/26, 16:45-18:45<\/em>, Room:<\/strong> Aula 111<\/td>\n<\/tr>\n
16:45<\/td>\n402:<\/em> A Modular Hybrid Transformer Framework for Trustworthy Radiology Report Summarization<\/strong>
Pourgholamali, Setareh; Patti, Edoardo; Aliberti, Alessandro<\/em>
Politecnico di Torino<\/td>\n<\/tr>\n
17:05<\/td>\n405:<\/em> Fall Detection from DVS Events Using Spiking UniFormer<\/strong>
Gamlath, Supun; Hettiarachchi, Chathuranga<\/em>
University of Moratuwa<\/td>\n<\/tr>\n
17:25<\/td>\n408:<\/em> Accelerating Surrogate-Assisted Decomposition-Based Multiobjective Optimization via Effective Assignment of Pre-Collected Solutions<\/strong>
Nakahashi, Ryotaro; Kato, Ryudai; Horaguchi, Yuma; Nakata, Masaya<\/em>
Yokohama National University<\/td>\n<\/tr>\n
17:45<\/td>\n411:<\/em> Identifying Smartphone-Using Pedestrians on Railway Platforms Via Deep Learning\u0096Driven Point Cloud Data<\/strong>
MIEDA, Hayato; Premachandra, Chinthaka<\/em>
Shibaura Institute of Technology<\/td>\n<\/tr>\n
18:05<\/td>\n422:<\/em> Fill in the Gaps — Applying Polynomial-based Imputation techniques for Heart Rate Data<\/strong>
Gupta, Vaibhav; Grensing, Florian; Cinar, Beyza; van den Boom, Louisa; Maleshkova, Maria<\/em>
Helmut-Schmidt-University\/University of the Federal Armed Forces Hamburg<\/td>\n<\/tr>\n
18:25<\/td>\n451:<\/em> Prediction of Complications in Lung Biopsies with Artificial Intelligence: A Preliminary Study and Early Findings<\/strong>
Cribill\u00e9s P\u00e9rez, Mar\u00eda; Su\u00e1rez-D\u00edaz, Juan Luis; Maldonado Vicente, Germ\u00e1n; Mart\u00edn-Rodr\u00edguez, Jos\u00e9 Luis; Herrera, Francisco<\/em>
Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI), University of Granada<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n\n\n
Session Bi-Fin-2: Business Intelligence \/ Finance<\/strong>
\n9\/5\/26, 16:45-18:45<\/em>, Room:<\/strong> Aula 112<\/td>\n<\/tr>\n
16:45<\/td>\n333:<\/em> FraudTransformer: Time-Aware GPT for Transaction Fraud Detection<\/strong>
Aminian, Gholamali; Elliott, Andrew; Li, Tiger; Wong, Timothy Cheuk Hin; Dehon, Victor Claude; Szpruch, Lukasz; Maple, Carsten; Read, Christopher; Brown, Martin; Reinert, Gesine; Mamouei, Mohammad<\/em>
HSBC<\/td>\n<\/tr>\n
17:05<\/td>\n348:<\/em> Task-Driven End-to-End Deep Learning Framework for Risk-Aware Procurement Optimization<\/strong>
Paul, Debdeep; YIN, YONGNING; Wijaya, Chandra Suwandi; Miura, Koji; Tajika, Yosuke<\/em>
Panasonic Industrial Devices Singapore<\/td>\n<\/tr>\n
17:25<\/td>\n358:<\/em> Post-Quantum Secure Federated DeFi for Inclusive Banking<\/strong>
Sachan, Swati; Fickett, Dale; Buchinger, Richard; Miller, Theo<\/em>
University of Liverpool<\/td>\n<\/tr>\n
17:45<\/td>\n361:<\/em> ViFi-HMM: Fuzzy Regime-Switching State Inference for Uncertain Dynamic Systems<\/strong>
Ghanduri, Fatima; Anagnostopoulos, Christos<\/em>
University of Glasgow<\/td>\n<\/tr>\n
18:05<\/td>\n392:<\/em> Early Warning System for Inflation Risks: A Hybrid Forecasting Framework Integrating Triple Exponential Smoothing with GARCH Models for Monetary Policy<\/strong>
Hidayat, Rahmat; Ansari Saleh, Ahmar, Ansari Saleh Ahmar; Alanda, Alde; Aldo, Erianda; Hidra Amnur, Hidra; Rasyidah, Rasyidah<\/em>
Politeknik Negeri Padang<\/td>\n<\/tr>\n
18:25<\/td>\n393:<\/em> From Interpretable Learning to Actionable Decisions: A Bounded Preference Neural Network for Multi-Attribute Optimization<\/strong>
Liu, Yi; Liang, Haiming; Dong, Yucheng<\/em>
Sichuan University<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n\n\n
Session GenAI-10: Generative AI Models, AI in Education and Agentic AI<\/strong>
\n10\/5\/26, 8:00-10:00<\/em>, Room:<\/strong> Aula 101<\/td>\n<\/tr>\n
8:00<\/td>\n486:<\/em> Human Supervision as an Information Bottleneck: A Unified Theory of Error Floors in Human-Guided Learning<\/strong>
Rodriguez Dominguez, Alejandro<\/em>
University of Reading<\/td>\n<\/tr>\n
8:20<\/td>\n498:<\/em> A Hierarchical End-Of-Turn Model with Primary Speaker Segmentation for Real-Time Conversational AI<\/strong>
Helwani, Karim; Do, Hoang; Luan, James; Srinivasan, Sriram<\/em>
Meta<\/td>\n<\/tr>\n
8:40<\/td>\n500:<\/em> Outperforming but Not Collaborating: Fluency Gaps in Human\u0096AI Teams<\/strong>
LOUNIS, CHRISTOPHE; Castells, Miguel; drougard, Nicolas; Gateau, Thibault; PINTO, Adam; Chanel, Caroline<\/em>
F\u00e9d\u00e9ration ENAC ISAE-SUPAERO ONERA, Universit\u00e9 de Toulouse<\/td>\n<\/tr>\n
9:00<\/td>\n510:<\/em> Root Cause Analysis Training for Healthcare Professionals With AI-Powered Virtual Simulation: A Proof-of-Concept<\/strong>
Hu, Yuqi; Xiong, Qiwen; Qin, Zhenzhen; Watanabe, Brandon; Wang, Yujing; Prpa, Mirjana; Yoon, Ilmi<\/em>
Northeastern University<\/td>\n<\/tr>\n
9:20<\/td>\n519:<\/em> A Language-Driven Framework for Improving Personalized Recommendations: Merging LLMs with Traditional Algorithms<\/strong>
Goldstein, Aaron; Dutta, Ayan<\/em>
University of North Florida<\/td>\n<\/tr>\n
9:40<\/td>\n523:<\/em> Uncertainty-Aware LLM-Guided Policy Shaping for Sparse-Reward Reinforcement Learning<\/strong>
Bhatta, Ujjwal; Dangol, Utsabi; Bajracharya, Sumaly; Rizk, Rodrigue; Santosh, KC<\/em>
University of South Dakota<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n\n\n
Session GenAI-12: Generative AI Models, AI in Education and Agentic AI<\/strong>
\n10\/5\/26, 8:00-10:00<\/em>, Room:<\/strong> Aula 102<\/td>\n<\/tr>\n
8:00<\/td>\n538:<\/em> A Privacy-Preserving Framework for Cyber Incident Analysis from Network Packets Using Large Language Models<\/strong>
Rahman, Md Naeemur; Mohammad, Tahir; Isoaho, Jouni; Virtanen, Seppo<\/em>
University of Turku<\/td>\n<\/tr>\n
8:20<\/td>\n544:<\/em> Appearance-Based Cyberbullying Detection in Dialectal Arabic: A New Gulf Body-Shaming Benchmark and MARBERTv2 based Classification Framework<\/strong>
Albluwi, Abeer; albalawi, Maram; Shiraskar, Sandeep; Shiraskar, Arohi; Rizk, Dominick; Rizk, Frederic; Rizk, Rodrigue; Santosh, KC<\/em>
Catholic University of America<\/td>\n<\/tr>\n
8:40<\/td>\n557:<\/em> Modelling Children\u0092s Language: Vikidia-based Resources to Support Italian Text Simplification<\/strong>
Tirico, Andrea; Braga, Marco; Murgia, Emiliana; Pasi, Gabriella<\/em>
University of Milan-Bicocca<\/td>\n<\/tr>\n
9:00<\/td>\n568:<\/em> A Comparative Analysis of Large Language Models in Generating Financial Accounting MCQs: ChatGPT-4o, Wolfram 14.1, and DeepSeek-V3<\/strong>
Adel, Salsabil; Nasr, Omar<\/em>
Cairo University<\/td>\n<\/tr>\n
9:20<\/td>\n599:<\/em> Federated TabTransformer: Self-Attention Based Privacy-Preserving Anomaly Detection for Heterogeneous IoT Telemetry<\/strong>
Hossain Bhuyan, Mohammed Golam Kaisar; Shiraskar, Sandeep; Abbas, Meer Aamir; Rizk, Dominick; Rizk, Frederic; Rizk, Rodrigue; Santosh, KC<\/em>
The Catholic University of America<\/td>\n<\/tr>\n
9:40<\/td>\n600:<\/em> Generative AI-driven Group Emotion Recognition: A Comparative Analysis of Holistic and Compositional Strategies<\/strong>
Molinaro, Pasquale; Presta, Mattia; Fortino, Giancarlo<\/em>
university of Calabria<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n\n\n
Session Multimedia-5: Multimedia and Virtual Reality and Teleoperation<\/strong>
\n10\/5\/26, 8:00-10:00<\/em>, Room:<\/strong> Aula 103<\/td>\n<\/tr>\n
8:00<\/td>\n454:<\/em> Training-Free Text-To-Image Compositional Food Image Generation Via Prompt Grafting<\/strong>
Pan, Xinyue; Chen, Yuhao; Zhu, Fengqing<\/em>
Purdue University<\/td>\n<\/tr>\n
8:20<\/td>\n480:<\/em> Face Density As a Proxy for Data Complexity: Quantifying the Hardness of Instance Count<\/strong>
Mohammadi-Seif, Abolfazl; Baeza-Yates, Ricardo<\/em>
Universitat Pompeu Fabra<\/td>\n<\/tr>\n
8:40<\/td>\n499:<\/em> Synthetic Craquelure Generation for Unsupervised Painting Restoration<\/strong>
Cuch-Guill\u00e9n, Jana; Agudo, Antonio; P\u00e9rez-Gonzalo, Ra\u00fcl<\/em>
Institut de Rob\u00f2tica i Inform\u00e0tica Industrial, CSIC-UPC<\/td>\n<\/tr>\n
9:00<\/td>\n505:<\/em> Multi-Scale Visual Prompting for Lightweight Small-Image Classification<\/strong>
Salim, Khazem<\/em>
Talan Research & Innovation Center<\/td>\n<\/tr>\n
9:20<\/td>\n527:<\/em> CannyEdit: Selective Canny Control and Dual-Prompt Guidance for Training-Free Image Editing<\/strong>
XIE, Weiyan; Gao, Han; Didan, DENG; Li, Kaican; Huang, Yongxiang; Liu, Hua; Zhang, Nevin Lianwen<\/em>
HKUST<\/td>\n<\/tr>\n
9:40<\/td>\n542:<\/em> Cross-Modal Proxy Prompt Alignment for Fine-Grained Image Classification<\/strong>
Han, Jin; Hu, Junlin<\/em>
Beihang University<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n
Session SS2-LLMS: Emerging Trends in Data, Web, and Social Media Analysis and Generation with LLMs<\/strong>
\n10\/5\/26, 8:00-10:00<\/em>, Room:<\/strong> Aula 104<\/td>\n<\/tr>\n
8:00<\/td>\n165:<\/em> Towards Auto-Shot Learning of Temporal Constraints in LLMs<\/strong>
Rajput, Sidra Nasir; Sala, Pietro<\/em>
University of Verona<\/td>\n<\/tr>\n
8:20<\/td>\n335:<\/em> Agentic Symbolic Learning for Deterministic and Granular Clinical Data Normalization<\/strong>
Jordan de Urries Ruiz, Borja; Ortiz, David<\/em>
Centro de Tecnologia Biomedica – Univerisidad Polit\u00b4ecnica de Madrid<\/td>\n<\/tr>\n
8:40<\/td>\n536:<\/em> Table-First Guarded Reasoning: Outperforming Larger MLLMs in Chart Question Answering<\/strong>
Aziz, Andrew; Abbas, Mohamed; Fouty, Kirolous; Ali, Shaza; Mohamed, MagdElDin; Kassab, Tarek; Tawfik, Ahmed Yassin; Sharara, Hossam; Salama, Cherif<\/em>
The American University in Cairo<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n\n\n
Session Sust-Trust-AI-8: Sustainable and Trustworthy AI<\/strong>
\n10\/5\/26, 8:00-10:00<\/em>, Room:<\/strong> Aula 105<\/td>\n<\/tr>\n
8:00<\/td>\n460:<\/em> An Interpretable Therapy-Informed Dialogue Chatbot for Older Adults Guided by Hierarchical Linguistic Feature Inference and Social Buffering<\/strong>
Chen, Han-Chieh; Chang, Yu-Chiao; Chen, Yong-Xiang<\/em>
Chung Yuan Christian University<\/td>\n<\/tr>\n
8:20<\/td>\n470:<\/em> Towards Calibration Enhanced Network by Inverse Adversarial Attack<\/strong>
Cheng, Yupeng; LIM, ZI PONG; Modi, Sarthak Ketanbhai; Teo, Yon Shin; Cao, Yushi; LIN, Shang-Wei<\/em>
Nanyang Technological University<\/td>\n<\/tr>\n
8:40<\/td>\n492:<\/em> Low-cost concept-based segmented explanations: How far can we get with training-free approaches?<\/strong>
Fernandez-Gutierrez, Darian; Bello, Rafael; Bello, Marilyn; D\u00edaz-Rodr\u00edguez, Natalia<\/em>
Universidad de Granada<\/td>\n<\/tr>\n
9:00<\/td>\n494:<\/em> Predicting Food Shortages at Food Pantries using Machine Learning and Predictive Analytics<\/strong>
Mazzone, Sam; Carrasco, Eduardo; Hoff, Casey; Redmann, Carey; Joslyn, Jeff; Bialkowski, Walter<\/em>
Marquette University<\/td>\n<\/tr>\n
9:20<\/td>\n504:<\/em> From Satellite to Silos: Predicting County-Level Corn Production in Minnesota Using Data Fusion<\/strong>
Jacob, Tang; Emma Wele, Victor C; Onishi, Rei; Mansoor, Naseef<\/em>
Minnesota State University, Mankato<\/td>\n<\/tr>\n
9:40<\/td>\n513:<\/em> A Framework to Manage Safe Transition to Manual Control in Complex AI Systems for Autonomous Decision-Making in Critical Dynamic Environments<\/strong>
Mihai, Rodica<\/em>
NORCE Research<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n
Session SS6-FIRE: FIRE-AI: Federated Intelligence for Responsible, Evolving AI<\/strong>
\n10\/5\/26, 8:00-10:00<\/em>, Room:<\/strong> Aula 106<\/td>\n<\/tr>\n
8:00<\/td>\n170:<\/em> Energy-Efficient Federated Learning for Space Observation Via Neuromorphic Computing: A Use Case<\/strong>
Lof\u00f9, Domenico; Sorino, Paolo; Di Noia, Tommaso; Di Sciascio, Eugenio<\/em>
Dept. of Electrical and Information Engineering (DEI), Politecnico di Bari, Bari (Italy)<\/td>\n<\/tr>\n
8:20<\/td>\n345:<\/em> Federated Recommendations with Built-in Privacy and Explainability: A Conceptual Model<\/strong>
Vultureanu-Albi&#537;i, Alexandra; Badica, Costin<\/em>
University of Craiova<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n\n\n
Session Healthcare-8: Healthcare and Life Sciences<\/strong>
\n10\/5\/26, 8:00-10:00<\/em>, Room:<\/strong> Aula 108<\/td>\n<\/tr>\n
8:00<\/td>\n506:<\/em> AI-Powered Symptom Assessment and User Experience: A Case Study of Simtomi and Simtomi-Care<\/strong>
Lee, Jinha; Lee, Chan Hyung; Lee, Hyunsung; Kim, Seunghwan; Lee, Ban Hyung; Shin, Minjun; Shin, Hojin; Park, Jungdo<\/em>
Indiana Wesleyan University<\/td>\n<\/tr>\n
8:20<\/td>\n507:<\/em> Comparative Analysis of Supervised Algorithms for Protein Cluster Classification Using k-Mer Image Embeddings<\/strong>
Marques, Hannah; Soares, Giovanna; Dalmolin, Matheus; Barbosa, Raquel; Costa Fernandes, Marcelo Augusto<\/em>
InovAI Lab – UFRN<\/td>\n<\/tr>\n
8:40<\/td>\n508:<\/em> Exploratory Machine Learning Modeling of Cyanobacteria and Cyanotoxin Transport in the Raritan Basin of New Jersey<\/strong>
Bordia, Suvid; Kondapalli, Vandana Rao; Rikkala, Harshini; Clonan, Kyle; Wu, Meiyin; Liu, Hao; Wang, Weitian; Zhu, Michelle<\/em>
Montclair State University<\/td>\n<\/tr>\n
9:00<\/td>\n509:<\/em> Automated Detection of Hip Replacements and Fiducial Markers in Pelvic CT Scans: A Comparative Study of Rule-Based vs Deep Learning Approaches<\/strong>
Bhattacharya, Sambit<\/em>
Fayetteville State University<\/td>\n<\/tr>\n
9:20<\/td>\n517:<\/em> DynaFormer: A Dynamic Dual-Attention Transformer For Medical Image Segmentation<\/strong>
YADAV, NAND KUMAR; Rizk, Rodrigue; Chen, William C.W.; Santosh, KC<\/em>
University Of South Dakota<\/td>\n<\/tr>\n
9:40<\/td>\n518:<\/em> Enhancing Explainable AI for Medical Imaging: Improved LIME Interpretation with Influence Mapping<\/strong>
Chowdhury, Abiha Tahsin; Bavisetti, Dhanush; Hier, Daniel; Dubey, Rahul; Obafemi-Ajayi, Tayo<\/em>
Missouri State University, USA<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n
Session SS7-DRONES: AI-Enabled Drones for Environmental Monitoring and Sustainable Land Management<\/strong>
\n10\/5\/26, 8:00-10:00<\/em>, Room:<\/strong> Aula 109<\/td>\n<\/tr>\n
8:00<\/td>\n112:<\/em> HeuRiskUNet: UAV Navigation in Risk Maps through Improved Path Planning Heuristics<\/strong>
Aldao, Enrique; Veiga-L\u00f3pez, Fernando; Ponzoni Carvalho Chanel, Caroline; Watanabe, Yoko; Gonz\u00e1lez-Jorge, Higinio<\/em>
University of Vigo<\/td>\n<\/tr>\n
8:20<\/td>\n351:<\/em> A Minimal Brain\u0096Computer Interface for Efficient Mission-Level Control in Industrial Human-Robot Interaction<\/strong>
Porghoveh, Mojtaba; Carli, Raffaele; Dotoli, Mariagrazia<\/em>
Politecnico di Bari<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n\n\n
Session Human-Robot-5: Human-robot collaboration<\/strong>
\n10\/5\/26, 8:00-10:00<\/em>, Room:<\/strong> Aula 110<\/td>\n<\/tr>\n
8:00<\/td>\n550:<\/em> Emotion-Aware Voice Monitoring: Mapping Continuous VAD to Operationally Interpretable Affect Levels<\/strong>
Ait Fares, Salma; Birchall, James<\/em>
InterTalk Critical Communications<\/td>\n<\/tr>\n
8:20<\/td>\n556:<\/em> Cognitive Load As a Lens for Understanding AI-Augmented Workflows in Agile Teams<\/strong>
Palla, Dominik; Krejcar, Ondrej; Selamat, Ali; Trillo, Jos\u00e9 Ram\u00f3n<\/em>
University of Hradec Kralove<\/td>\n<\/tr>\n
8:40<\/td>\n564:<\/em> Real-Time Detection of Micro-Impacts and Structural Anomalies on Orbital Assets Using Dual-Model YOLOv12 Architecture<\/strong>
Guirado, Alberto<\/em>
Independent Researcher<\/td>\n<\/tr>\n
9:00<\/td>\n574:<\/em> AI-based Classification of Research Papers using Abstract Text for Keyword, Domain, and SDG Prediction Aligned with SDG 4: Quality Education<\/strong>
althumayri, joudy; Bin Omran, Aljawharah; Ababtain, Raghad; Alharbi, Leen; Ghaidaa, Alqahtani; Alqahtani, Tasneem; Ksibi, Amel<\/em>
PNU<\/td>\n<\/tr>\n
9:20<\/td>\n578:<\/em> Explainable AI for Early Detection of Depression: A Transfer Learning Approach Using Social Media Text<\/strong>
Alyami, Raneem; Almulla, Reema; Almutairi, Samar; Alfadhel, Menirah; Alsehibani, Banh; Alqahtani, Tasneem; Ksibi, Amel<\/em>
Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Ri<\/td>\n<\/tr>\n
9:40<\/td>\n584:<\/em> Driver Drowsiness Detection System<\/strong>
Alrasheed, Jana; Alqahtani, Tasneem; Ksibi, Amel<\/em>
Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Ri<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n\n\n
Session Bi-Fin-3: Business Intelligence \/ Finance<\/strong>
\n10\/5\/26, 8:00-10:00<\/em>, Room:<\/strong> Aula 112<\/td>\n<\/tr>\n
8:00<\/td>\n426:<\/em> Graph Neural Networks for Class Imbalance Learning and Detecting Fraud Transactions<\/strong>
Liu, Wei; Hallaji, Ehsan; Razavi-Far, Roozbeh<\/em>
University of New Brunswick<\/td>\n<\/tr>\n
8:20<\/td>\n433:<\/em> Robust Probabilistic Ensemble Change Point Detection<\/strong>
Paul, Debdeep; YIN, YONGNING; Wijaya, Chandra Suwandi; Miura, Koji; Tajika, Yosuke<\/em>
Panasonic Industrial Devices Singapore<\/td>\n<\/tr>\n
8:40<\/td>\n445:<\/em> Reject-Option Ensemble Learning for Neural Network-Based Channel Equalization<\/strong>
Almeida, Wellington; rocha neto, ajalmar<\/em>
Federal University of Cear\u00e1<\/td>\n<\/tr>\n
9:00<\/td>\n455:<\/em> Intelligent Oil Palm Tree Counting Using UAVs and Deep Learning: A Case Study in Tumaco, Colombia<\/strong>
Guti\u00e9rrez Bernal, F\u00e9lix Juli\u00e1n; Bastidas Mendez, Karen Tatiana; Mauricio Andr\u00e9s Poloche, Andr\u00e9s Poloche<\/em>
Corporaci\u00f3n universitaria Minuto de Dios<\/td>\n<\/tr>\n
9:20<\/td>\n461:<\/em> Hazard-Gated Temporal Transformers for Real-Time Risk Control<\/strong>
Dey, Vikrant<\/em>
MasterCard, IIT Rookee<\/td>\n<\/tr>\n
9:40<\/td>\n482:<\/em> XFORMER: A Multi-Stage Uncertainty-Guided Deep Learning Framework for Time Series Extreme Event Forecasting<\/strong>
Dey, Rupasree; Bachinin, Andrei; Bin Faruk, Tanjim; Matin, Abdul; Hong, Mu; Zhang, Yao; Pallickara, Shrideep; Pallickara, Sangmi Lee<\/em>
Colorado State University<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n
Session Keynote3: Keynote #3: Marcos Lopez de Prado<\/strong>
\n10\/5\/26, 10:00-11:00<\/em>, Room:<\/strong> Sal\u00f3n de Actos<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n\n\n\n
Session GenAI-11: Generative AI Models, AI in Education and Agentic AI<\/strong>
\n10\/5\/26, 11:30-13:30<\/em>, Room:<\/strong> Aula 101<\/td>\n<\/tr>\n
11:30<\/td>\n524:<\/em> Tiny is Mighty Enough: Evaluating Tiny and Large Language Models for Controlling Autonomous Agents<\/strong>
Kulbaka, Iliya; Dutta, Ayan; Kreidl, O. Patrick; Boloni, Ladislau; Roy, Swapnoneel<\/em>
University of North Florida<\/td>\n<\/tr>\n
11:50<\/td>\n525:<\/em> Interfaze: The Future of AI Is Built on Task-Specific Small Models<\/strong>
Khurdula, Harsha Vardhan; Agarwal, Vineet; Khemlani, Yoeven D<\/em>
JigsawStack<\/td>\n<\/tr>\n
12:10<\/td>\n526:<\/em> Serverless Cross-Device Knowledge Transfer with Collaborative LLM Fine-Tuning Via Wireless Ad Hoc Federated Learning<\/strong>
Nakajima, Kota; Esaki, Hiroshi; Ochiai, Hideya<\/em>
The University of Tokyo<\/td>\n<\/tr>\n
12:30<\/td>\n529:<\/em> Multi-Agent Reinforcement Learning Via Stochastic Pacing Games: Theory, Algorithms, and Applications<\/strong>
Li, David<\/em>
Yeshiva University<\/td>\n<\/tr>\n
12:50<\/td>\n531:<\/em> LLM-Seeded Genetic Improvement: Hierarchical AST Evolution with Multi-Level Donor-Code Transplants<\/strong>
Schladt, Michael; Gallagher, John<\/em>
University of Cincinnati<\/td>\n<\/tr>\n
13:10<\/td>\n535:<\/em> Dynamic Agentic AI Expert Profiler System Architecture for Multidomain Intelligence Modeling<\/strong>
Adeseye, Aisvarya; Isoaho, Jouni; Virtanen, Seppo; Mohammad, Tahir<\/em>
University of Turku<\/td>\n<\/tr>\n
13:30<\/td>\n391:<\/em> AutoClimDS: Climate Data Science Agentic AI \u0097 A Knowledge Graph is All You Need<\/strong>
Jaber, Ahmed; Zheng, Tian; Zhu, Wangshu; Roy, Ayon; Jayavelu, Karthick; Downes, Justin; Mohamed, Sameer; Agonafir, Candace; Hawkins, Linnia<\/em>
Columbia University<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n\n\n
Session GenAI-13: Generative AI Models, AI in Education and Agentic AI<\/strong>
\n10\/5\/26, 11:30-13:30<\/em>, Room:<\/strong> Aula 102<\/td>\n<\/tr>\n
11:30<\/td>\n603:<\/em> Generating Domain Models for Automated Planning from Natural Language Descriptions<\/strong>
Acitelli, Giacomo; Marrella, Andrea; Rossi, Jacopo; Troilo, Giada; van der Aa, Han<\/em>
Sapienza University of Rome<\/td>\n<\/tr>\n
11:50<\/td>\n617:<\/em> Can Large Language Models Be Trusted for AI-Based Intrusion Detection in Cybersecurity? An Evidence-Grounded Log Analysis<\/strong>
Beyzavi, Hossein; Shiraskar, Sandeep; Albluwi, Abeer; albalawi, Maram; Rizk, Dominick; Rizk, Frederic; Rizk, Rodrigue; Santosh, KC<\/em>
The Catholic University of America<\/td>\n<\/tr>\n
12:10<\/td>\n635:<\/em> Graph Neural and Language Models for Context-Aware Academic Performance Evaluation<\/strong>
Ahmed, Saad; Pandey, Abhinav<\/em>
Lakehead University<\/td>\n<\/tr>\n
12:30<\/td>\n637:<\/em> Neuro-Adaptive Agentic AI Platform (NAAP): A Cognitive- Technological Framework for Cybersecurity and Human Performance Optimization<\/strong>
PITRONE, Andrea; BOUACHIR, Ouns; HADDIYA, Intissar<\/em>
Loop AI Labs Inc.<\/td>\n<\/tr>\n
12:50<\/td>\n644:<\/em> Human-AI Co-Teaching: Agentic, Generative Hints for Close Reading and Source Criticism<\/strong>
Pal Thamburaj, Kingston; Ramesh, Mercedes Premalatha; Ramakrishnan, Umayalambigai<\/em>
Nanyang Technological University<\/td>\n<\/tr>\n
13:10<\/td>\n423:<\/em> HumanMCP: A Human-Like Query Dataset for Evaluating MCP Tool Retrieval Performance<\/strong>
Changbencharoen, Lucas; Laddha, Shubh Jayesh; Kuptivej, Chaiyanat; Shringla, Surya; Bhaskar, Yash<\/em>
Algoverse AI<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n\n\n
Session Multimedia-6: Multimedia and Virtual Reality and Teleoperation<\/strong>
\n10\/5\/26, 11:30-13:30<\/em>, Room:<\/strong> Aula 103<\/td>\n<\/tr>\n
11:30<\/td>\n588:<\/em> Driver Drowsiness Detection System<\/strong>
Alrasheed, Jana; Sadeem hassan algarni, Sadeem; Alqahtani, Rawan; Awad Alshammari, Rama; Alqahtani, Tasneem; Ksibi, Amel<\/em>
Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Ri<\/td>\n<\/tr>\n
11:50<\/td>\n598:<\/em> SwiNNEt-Galaxy: Hierarchically Constrained and Rotation-Aware Hybrid CNN-Transformer for Galaxy Morphology Regression<\/strong>
Shiraskar, Sandeep; Shiraskar, Arohi; Rizk, Dominick; Rizk, Frederic; Rizk, Rodrigue; Santosh, KC<\/em>
The Catholic University of America<\/td>\n<\/tr>\n
12:10<\/td>\n601:<\/em> Dynamic Temporal Attention Enhanced Multi-Scale Hierarchical Network for Micro-Expression Recognition<\/strong>
Yip, Yee Hwai; Hu, Junlin<\/em>
Beihang University<\/td>\n<\/tr>\n
12:30<\/td>\n631:<\/em> Granular Convolutional Neural Networks: Interpretable Classification with Uncertainty Quantification<\/strong>
Shadoul, Inas; Mesbah, Mostefa; Mansouri, Majdi, Majdi; Al-Hmouz, Rami<\/em>
Abdullah Alsalem University<\/td>\n<\/tr>\n
12:50<\/td>\n633:<\/em> Transformer-UNet Architecture for Document Dewarping and Layout Analysis<\/strong>
Ahmed, Saad; Omelchuk, Olesia<\/em>
Lakehead University<\/td>\n<\/tr>\n
13:10<\/td>\n647:<\/em> Heat Learning and Rationale-Aware SSL: Boosting Recommender Systems with Residual Graph Transformers<\/strong>
Amgad, Seif Eldin; Guebsi, Sahar; Mhedhbi, Eya; Othmani, Alice<\/em>
Laboratoire Images, Signaux et Syst\u00e8mes Intelligents (LISSI) EA 3956, Universit\u00e9 Paris Est Cr\u00e9teil (UPEC), 122 rue Paul Armangot<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n\n\n
Session SS1-MULTI: (Multi-)Agentic AI in Action: Real-World Applications of Contemporary Multi-Agent Systems<\/strong>
\n10\/5\/26, 11:30-13:30<\/em>, Room:<\/strong> Aula 104<\/td>\n<\/tr>\n
11:30<\/td>\n49:<\/em> Themis: An Explainable AI-Enabled Framework for Reinforcement Learning with Human Feedback<\/strong>
Chouliaras, Andreas; Luke, Connolly; Dimitris, Chatzopoulos<\/em>
University College Dublin<\/td>\n<\/tr>\n
11:50<\/td>\n97:<\/em> LLM-Augmented Feature Engineering for Machine Learning Pipelines<\/strong>
Rancea, Alexandru; Anghel, Ionut; Cioara, Tudor<\/em>
Technical University of Cluj-Napoca<\/td>\n<\/tr>\n
12:10<\/td>\n171:<\/em> Hybrid Multi-Agent(ic) Systems for Financial Analysis<\/strong>
Beaumont, Katharine; Collier, Rem; Daly, Peter<\/em>
University College Dublin<\/td>\n<\/tr>\n
12:30<\/td>\n187:<\/em> Prompt-Oriented Documentation: A Definition and Framework for Interactive User Manual and Developer Guides<\/strong>
Ciochiu, Marius-Daniel; Brezovan, Marius; Tr&#259;istaru, Claudiu; B&#259;doi, Mircea; Nedianu, Gabriel-Catalin<\/em>
University of Craiova<\/td>\n<\/tr>\n
12:50<\/td>\n288:<\/em> An Agentic Framework for Efficient and Scalable Web Content Classification<\/strong>
Tudor, Dan-Gabriel; Badica, Costin<\/em>
University of Bucharest<\/td>\n<\/tr>\n
13:10<\/td>\n475:<\/em> Agentic Narrative Audio Guides: A Hybrid Multi-Agent System for Cultural Audio Guides<\/strong>
Nedianu, Gabriel-Catalin; B&#259;doi, Mircea; Ciochiu, Marius-Daniel; Muraretu, Ionut; Badica, Costin<\/em>
University of Craiova<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n\n
Session Sust-Trust-AI-9: Sustainable and Trustworthy AI<\/strong>
\n10\/5\/26, 11:30-13:30<\/em>, Room:<\/strong> Aula 105<\/td>\n<\/tr>\n
11:30<\/td>\n548:<\/em> A Causal Information-Flow Framework for Unbiased Learning-to-Rank<\/strong>
haoming, gong; Zhihao, Tao; Qingyao, Ai; Yongfeng, Zhang<\/em>
Rutgers University – New Brunswick<\/td>\n<\/tr>\n
11:50<\/td>\n581:<\/em> Explainable AI for Early Detection of Depression: A Transfer Learning Approach Using Social Media Text<\/strong>
Alyami, Raneem; Almulla, Reema; Almutairi, Samar; Alfadhel, Menirah; Alsehibani, Banh; Alqahtani, Tasneem; Ksibi, Amel<\/em>
Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Ri<\/td>\n<\/tr>\n
12:10<\/td>\n619:<\/em> CHORD: A Novel XAI Framework for Guiding Counterfactuals via Higher-Order Sensitivity Analysis<\/strong>
Shahid, Zohaib; Rahulamathavan, Yogachandran; Dogan, Safak<\/em>
Loughborough University London<\/td>\n<\/tr>\n
12:30<\/td>\n706:<\/em> AI-CARE: Carbon-Aware Reporting Evaluation Metric for AI Models<\/strong>
Santosh, KC; Baride, Srikanth; Rizk, Rodrigue<\/em>
University of South Dakota<\/td>\n<\/tr>\n
12:50<\/td>\n323:<\/em> Greener Pixels: Reducing Carbon Emissions in AI Image Generation<\/strong>
Chen, Alvin<\/em>
University High School<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n
Session SS8-INDUSTRY: Industry and AI<\/strong>
\n10\/5\/26, 11:30-13:30<\/em>, Room:<\/strong> Aula 106<\/td>\n<\/tr>\n
11:30<\/td>\n36:<\/em> A Framework for the Systematic Optimization of Brand Recommendation Rates in Large Language Models<\/strong>
Aarabi, Parham; Qin, Yiqian; Garmash, Anastasiia<\/em>
PRE<\/td>\n<\/tr>\n
11:50<\/td>\n211:<\/em> Few-Shot Adapted-Embedding with Style Adversarial Regularization for Activity Recognition<\/strong>
Dridi, Jawher; Amayri, Manar; Bouguila, Nizar<\/em>
Concordia University<\/td>\n<\/tr>\n
12:10<\/td>\n294:<\/em> Patch-Wise Regressor-Guided Preprocessing for Multiple Instance Learning in RGB Image Classification<\/strong>
Amin, Mavaddat; Moura, Marcos; Correia, Carlos; Petraglia, Mariane; Zachi, Alessandro; Andrade, Fabio<\/em>
University of South-Eastern Norway<\/td>\n<\/tr>\n
12:30<\/td>\n346:<\/em> Developing an AI Agent for Technical Support in the Machine Tools Industry<\/strong>
Martinez-Seras, Aitor; Gomez Ferreira, Unai; Martin-Arauzo, Javier<\/em>
IDEKO S.COOP.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n\n\n
Session Healthcare-9: Healthcare and Life Sciences<\/strong>
\n10\/5\/26, 11:30-13:30<\/em>, Room:<\/strong> Aula 108<\/td>\n<\/tr>\n
11:30<\/td>\n522:<\/em> Ensemble Models for Predicting Treatment Response in Pediatric Low-Grade Glioma Managed with Chemotherapy<\/strong>
Bengtsson, Max; Keles, Elif; Waanders, Angela J.; Bagci, Ulas<\/em>
Northwestern Univeristy<\/td>\n<\/tr>\n
11:50<\/td>\n533:<\/em> Less Fine-Tuning, Richer Semantics: Selective Decoder-Only Parameter-Efficient Fine-Tuning for Vision-Language Model Adaptation under Extreme Resource Constraints<\/strong>
Shiraskar, Sandeep; Shiraskar, Arohi; Rizk, Dominick; Rizk, Frederic; Rizk, Rodrigue; Santosh, KC<\/em>
The Catholic University of America<\/td>\n<\/tr>\n
12:10<\/td>\n537:<\/em> Home Sound Uroflowmetry As an Alternative to Conventional Uroflowmetry Using Convolutional Neural Networks<\/strong>
Okafor, Chioma; Wright, Sasha-Gay; Falconer, Lindon; Bahillo, Alfonso<\/em>
The University of West Indies Mona<\/td>\n<\/tr>\n
12:30<\/td>\n591:<\/em> LSBMAR: Latent Schr\u00f6dinger Bridge for Metal Artifact Reduction in CT Scans<\/strong>
Zaccagna, Luca; Salfinger, Andrea; Vallisa, Tiziano; Snidaro, Lauro<\/em>
University of Udine<\/td>\n<\/tr>\n
12:50<\/td>\n606:<\/em> Reinforced Active Learning with Explainability for Label-Efficient Medical Imaging<\/strong>
Bose, Moinak; Wang, Longwei; Rizk, Rodrigue; Santosh, KC<\/em>
University of South Dakota<\/td>\n<\/tr>\n
13:10<\/td>\n653:<\/em> Adaptive Computational Intelligence for Next-Generation Nursing and Assistive Robotics<\/strong>
Cardenas, Martha Ivon; Avgousti, Sotiris; Christoforou, Eftychios G.; Vourkos, Eleftherios G.<\/em>
Universitat Polit\u00e8cnica de Catalunya<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n\n
Session SS3-SPACE: AI for Space Exploration<\/strong>
\n10\/5\/26, 11:30-13:30<\/em>, Room:<\/strong> Aula 109<\/td>\n<\/tr>\n
11:30<\/td>\n90:<\/em> Formalisation of Security for Federated Learning with DP and Attacker Advantage in IIIf for Satellite Swarms<\/strong>
Kammueller, Florian<\/em>
Middlesex University London<\/td>\n<\/tr>\n
11:50<\/td>\n107:<\/em> Federated Multi-Agent Mapping for Planetary Exploration<\/strong>
Szatmari, Tiberiu-ioan; Cauligi, Abhishek<\/em>
Technical University of Denmark<\/td>\n<\/tr>\n
12:10<\/td>\n218:<\/em> High-Fidelity 3D Reconstruction for Planetary Exploration<\/strong>
Mart\u00ednez Petersen, Alfonso; Gerdes, Levin; Rodr\u00edguez-Mart\u00ednez, David; Perez-del-Pulgar, Carlos<\/em>
University of M\u00e1laga<\/td>\n<\/tr>\n
12:30<\/td>\n272:<\/em> Field Test of a Mission Science Objective-Based Artificial Intelligence for Spaceflight<\/strong>
Theiling, Bethany; Bull, Shannon; Williams, Connor; McKinney, Leyton; Firth, Connor; Clough, Lily; Gibson, Alan; Marshall, James; Hard, Steven; Monaghan, Michael; Hammer, Jonathan; De La Cruz-Garcia, Melissa; Zouloumian, Caroline; McKinney, Brett; Gizzi, Evana<\/em>
NASA Goddard Space Flight Center<\/td>\n<\/tr>\n
12:50<\/td>\n515:<\/em> SKYWALKER: Dual-Agent Reinforcement Learning for Autonomous Crawling in a Planar Microgravity Analog<\/strong>
Davidsson, Dadi Hrannar; Miguelez de Salas, Bruno; svendsen, Glenn; Kristiansen, Rasmus; Hansen, Gustav; Melnyk, Artem; Kawara, Alaa Eddin; Nielsen, Thor; Argjaboda, Jon; B\u00f8gh, Simon; Bj\u00f8rndahl Mortensen, Anton<\/em>
Aalborg University<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n\n
Session Human-Robot-6: Human-robot collaboration<\/strong>
\n10\/5\/26, 11:30-13:30<\/em>, Room:<\/strong> Aula 110<\/td>\n<\/tr>\n
11:30<\/td>\n587:<\/em> Detecting AI-Generated Essays Using NLP and Text Classification<\/strong>
ALSAGHIER, SARAH; Alqahtani, Tasneem; Ksibi, Amel<\/em>
Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Ri<\/td>\n<\/tr>\n
11:50<\/td>\n618:<\/em> High-Assurance Bot Detection on Steam: A Hybrid Ensemble Learning Framework for Detecting Automated Steam Accounts Using Profile Metadata<\/strong>
Smylie, Eoin; Shiraskar, Sandeep; Shiraskar, Arohi; Albluwi, Abeer; albalawi, Maram; Rizk, Dominick; Rizk, Frederic; Rizk, Rodrigue; Santosh, KC<\/em>
The Catholic University of America<\/td>\n<\/tr>\n
12:10<\/td>\n639:<\/em> A Distributed Spatio-Temporal Deep Q-Network for On-Demand Ridesharing<\/strong>
Lartey, Benjamin; Zeleke, Lydia Asrat; Nuhu, Abdul-Rauf; Homaifar, Abdollah<\/em>
North Carolina A&T State University<\/td>\n<\/tr>\n
12:30<\/td>\n643:<\/em> P-MAPPO: Feasibility-Projected Multi-Agent PPO for Discrete Macro-Actions with Application to Dynamic Airspace Sectorization<\/strong>
Ramesh, Mercedes Premalatha; Dhief, Imen; Li, Zhimin; Hsieh, Meng-Hsueh; Feroskhan, Mir<\/em>
Nanyang Technological University<\/td>\n<\/tr>\n
12:50<\/td>\n645:<\/em> Online Continual Spatio-Temporal Learning for Change-Resilient Blocking Prediction in Elastic Optical Networks<\/strong>
Nourmohammadi, Farzaneh; comellas, Jaume; Kaymak, Uzay Mr<\/em>
Polytechnic University of Catalonia<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n
Session Bi-Fin-4: Business Intelligence \/ Finance<\/strong>
\n10\/5\/26, 11:30-13:30<\/em>, Room:<\/strong> Aula 111<\/td>\n<\/tr>\n
11:30<\/td>\n502:<\/em> AKReF: An Argumentative Knowledge REpresentation Framework for Abstract Argumentation<\/strong>
Bhattacharjee, Debarati; Anand, Ashish<\/em>
IIT Guwahati<\/td>\n<\/tr>\n
11:50<\/td>\n530:<\/em> Behavior Aware Incentive Optimization with Delayed Feedback in Data Driven Service Platforms<\/strong>
Li, David<\/em>
Yeshiva University<\/td>\n<\/tr>\n
12:10<\/td>\n576:<\/em> Multimodal Fusion for Time Series Forecasting: Learning from Temporal and Visual Data<\/strong>
Oliveira, Jos\u00e9 Manuel; Ramos, Patr\u00edcia<\/em>
CEOS.PP, ISCAP, Polytechnic of\u00a0Porto<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n\n\n\n\n
Session SS4-FINANCE: Foundation and Emerging AI Models for Applications in Finance, Cyber Security, and Life Sciences<\/strong>
\n10\/5\/26, 11:30-13:30<\/em>, Room:<\/strong> Aula 111<\/td>\n<\/tr>\n
11:30<\/td>\n158:<\/em> XAID Framework: Defending against Adversarial Attacks on IDSs Using eXplainable AI<\/strong>
Op den Camp, Felix; Kunstmann, Thomas; Tundis, Andrea<\/em>
Technical University Darmstadt<\/td>\n<\/tr>\n
11:50<\/td>\n181:<\/em> A GA-Optimised Wavelet-Based Ensemble Learning Model for Stock Index Trend Prediction<\/strong>
Alhnaity, Bashar<\/em>
Faculty of Science and Technology, Department of Computer Science, Middlesex University<\/td>\n<\/tr>\n
12:10<\/td>\n250:<\/em> From Robust Networks to AI-Ready Parcel Locker Systems: A Multilayer Perspective on Design, Demand and Resilience<\/strong>
Corradini, Enrico; Cauteruccio, Francesco<\/em>
Polytechnic University of Marche<\/td>\n<\/tr>\n
12:30<\/td>\n316:<\/em> A Review of Large Language Models for Stock Price Forecasting from a Hedge-Fund Perspective<\/strong>
Zhang, Olivia; Zhang, Zhilin<\/em>
The Hockaday School<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"excerpt":{"rendered":"

Bi-Fin-1, Bi-Fin-2, Bi-Fin-3, Bi-Fin-4, GenAI-1, GenAI-10, GenAI-11, GenAI-12, GenAI-13, GenAI-2, GenAI-3, GenAI-4, GenAI-5, GenAI-6, GenAI-7, GenAI-8, GenAI-9, Healthcare-1, Healthcare-2, Healthcare-3, Healthcare-4, Healthcare-5, Healthcare-6, Healthcare-7, Healthcare-8, Healthcare-9, Human-Robot-1, Human-Robot-2, Human-Robot-3, Human-Robot-4, Human-Robot-5, Human-Robot-6, Multimedia-1, Multimedia-2, Multimedia-3, Multimedia-4, Multimedia-5, Multimedia-6, SS1-MULTI, SS2-LLMS, SS3-SPACE, SS4-FINANCE, SS6-FIRE, SS7-DRONES, SS8-INDUSTRY, Sust-Trust-AI-1, Sust-Trust-AI-2, Sust-Trust-AI-3, Sust-Trust-AI-4, Sust-Trust-AI-5, Sust-Trust-AI-6, Sust-Trust-AI-7, Sust-Trust-AI-8, Sust-Trust-AI-9, T1,…<\/p>\n","protected":false},"author":2627,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-434","page","type-page","status-publish","hentry"],"yoast_head":"\nDetailed Program and Schedule - IEEE CAI 2026<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.ieeesmc.org\/cai-2026\/detailed-schedule\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Detailed Program and Schedule - 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