Program - IEEE ICHMS 2026 – International Conference on Human-Machine Systems

Program-At-A-Glance

Day 1 — Wednesday, 1 July 2026 NTU ARC

Time	TR-26	TR-27	TR-28	TR-29	TR-24
8:45 – 9:00	Opening Ceremony ARC Lecture Theatre · All delegates
9:00 – 10:00	Keynote 1 — Prof. Ljiljana Trajković ARC Lecture Theatre · All delegates
10:00 – 10:15	Tea break
10:15 – 13:15	ISACT Summer School Organiser-led sessions	AI Thought Leaders Panel Open to all · Free entry	Workshop: WAISERER AM session	Workshop: Biodynamics & HMI Shared control, BCI & workload	IEEE Young Professionals 11:15 – 12:15
13:15 – 14:00	Lunch break
14:00 – 17:00	ISACT Summer School Continued	AI Thought Leaders Panel Continued	Workshop: WAISERER PM session	Workshop: Adaptive Microlearning Goal-driven learning systems	Workshop: Mixed Reality Digital Twin Collaborative simulation
17:00 – 17:15	Tea break · All delegates

Day 2 — Thursday, 2 July 2026 NTU ARC

Time	TR-27	TR-28	TR-29
9:00 – 10:00	Keynote 2 — Prof. Toshio Fukuda ARC Lecture Theatre · All delegates
10:00 – 10:15	Tea break
10:15 – 13:15	CHAIS Summer School Collaborative Human-AI Symbiosis	Session A: Aviation, Vehicle Human Factors and Simplified Vehicle Operation	Session B: Hybrid Intelligence, Airspace Management and Autonomous Mobility
13:15 – 14:00	Lunch break
14:00 – 16:15	CHAIS Summer School Continued	Session C: Generative AI, Human-Robot Interaction, Digital Twins and Robot Control	Session D: Linguistic Reasoning, AI Education and Responsible AI
16:15 – 16:30	Tea break · All delegates
16:30 – 17:30	IEEE Distinguished Lecture — Prof. Henry Leung ARC Lecture Theatre · All delegates
17:30 – 18:30	Bus to YWCA at Fort Canning
18:30 – 21:30	Gala Dinner · YWCA Fort Canning

Day 3 — Friday, 3 July 2026 NTU ARC

Time	TR-26	TR-27	TR-28	TR-29
9:00 – 10:00	Keynote 3 — Prof. Chen Chun-Hsien ARC Lecture Theatre · All delegates
10:00 – 10:15	Tea break
10:15 – 13:15	ISACT Summer School Organiser-led sessions	Session E: Physiological Sensing, Workload and BCI Session F: Human-Robot Interaction and Human-AI Collaboration	Session G: Autonomous Systems, Control and Robotics	Session H: Human Factors, Safety, Healthcare and Speech
13:15 – 14:00	Lunch break
14:00 – 16:10	ISACT Summer School Continued	Virtual Presentations: Special Sessions and Contributed Papers	Virtual Contributed Papers: General Human-Machine Systems	Closing Ceremony Awards, Farewell & Networking
16:15 – 16:30	Tea break · Farewell

Sessions

Day 2 · TR-28 · AM · Session A: Aviation, Vehicle Human Factors and Simplified Vehicle Operation

Time	Paper #	Paper Title	Type
Thursday, 2 July 2026 · 10:15 – 13:15 · TR-28
Special Session: Aviation & Vehicle Human Factors (61kwa)
10:15 – 10:25	116	Adaptive Automation Levels in Air Traffic Control: Balancing Human Workload, Situation Awareness, and Performance	In-person
10:25 – 10:35	119	Adaptive HMI Design Strategies for Mitigating Pilot Spatial Attention-Loss Driven by Scanning Series Monitoring	In-person
10:35 – 10:45	52	Methodological Challenges in Human Factors Research for Air Traffic Management	In-person
10:45 – 10:55	84	Recognising Emotions in Air-Ground Communications with Deep Learning	In-person
10:55 – 11:05	104	The Transparency of Insights into Cockpit Evolution for Future Single-Pilot Operation: Evidence from Eye Tracker Patterns	In-person
11:05 – 11:15	114	Temporal and Spatial Constraints on Peripheral Signal Accessibility During Continuous Task Engagement	In-person
11:15 – 11:25	115	From Misunderstanding to Alignment: LLM-Supported Training to Enhance Controller-Pilot Collaboration	In-person
11:25 – 11:35	153	Evaluating the Impact of a Multi-Sector Planner Configuration on Air Traffic Controller Workload and Support Tool Requirements	In-person
Special Session: Simplified Vehicle Operation (3e38s)
11:35 – 11:45	93	A Quantum-Like Many-Body Wave Function-Based Modeling Approach for Dynamic Human-Machine Function Allocation	In-person
11:45 – 11:55	97	Implementing Gaze Entropy to Evaluate the Design of an eVTOL with SVO Concept	In-person
11:55 – 12:05	86	An MTE-Based Handling Quality Assessment Framework for SVO Fixed-Wing VTOL Aircraft	In-person
12:05 – 12:15	125	A Fast Computational Approach for Wing Lift Prediction in Tilt-Propeller Slipstream Toward Enhanced SVO Envelope Protection	In-person
Contributed Papers: Aviation and Vehicle Human Factors
12:15 – 12:25	45	RunA-Fit Adaptive Feature Refinement and Alignment for CLIP-Based Few-Shot Airfield Runway Anomaly Classification	In-person
12:25 – 12:35	36	Evaluating Psychophysiological Variables for Real-Time Activity Recognition in Manned-Unmanned Teaming Missions	In-person
12:35 – 12:45	82	Linking Vehicle Dynamics to User Experience in L2 Automated Urban Turning: A Driving Simulator Study	In-person
12:45 – 12:55	71	A Framework on Human-Autonomy Unified Control and Strategies for EVTOL	In-person
12:55 – 13:15	Q&A / Buffer

Day 2 · TR-29 · AM · Session B: Hybrid Intelligence, Airspace Management and Autonomous Mobility

Time	Paper #	Paper Title	Type
Thursday, 2 July 2026 · 10:15 – 13:15 · TR-29
Special Session: Hybrid Intelligence for Airspace Management (5wjur)
10:15 – 10:25	23	AI-Enhanced Tactical Congestion Management Framework for Human-in-the-Loop Decision Support	In-person
10:25 – 10:35	67	A Linguistics-Guided Hybrid Intelligence Framework for Conversational Decision Support Toward Smarter Air Traffic Management	In-person
10:35 – 10:45	91	Bridging the Experience Gap: Multimodal Agent-Driven AI for Knowledge Transfer in Air Traffic Management	In-person
10:45 – 10:55	121	System-Level Performance Analysis of AI-Assisted and Conventional Coordination in Air Traffic Management	In-person
10:55 – 11:05	123	Evaluation of GenLLM-Based Air Traffic Complexity Assessment	In-person
11:05 – 11:15	138	Retrieval-Augmented Large Language Models for Evidence-Based Hazard Log Generation in Emerging Aviation Systems	In-person
11:15 – 11:25	139	Human-AI Collaboration for UAS Traffic Management: A Review of Decision Support, Trust, and Assurance	In-person
11:25 – 11:35	140	A Hybrid Learning Control Framework for Safety-Constrained Multi-Agent Aerial Pursuit in Airport Airspace	In-person
11:35 – 11:45	64	A Physiological Feature-Based Machine Learning Approach for Identification of Multiple Visual Monitoring Tasks	In-person
Special Session: Human-Machine Cooperative Intelligence and Autonomous Driving (6a4h1)
11:45 – 11:55	79	Safe Driving for Human-Machine Shared Control: A Prediction-Informed Risk-Aware SMPC	In-person
11:55 – 12:05	126	LIT-Bench: A Multi-Level Evaluation Benchmark for Vision-Language Models in Intelligent Transportation Systems	In-person
12:05 – 12:15	151	Vision-Conditioned Structured Trajectory Planning via Flow Matching	In-person
Contributed Papers: Autonomous Systems and Multi-Agent Control
12:15 – 12:25	168	City-Wide Low-Altitude Urban Air Mobility: A Scalable Global Path Planning Approach Via Risk-Aware Multi-Scale Cell Decomposition	In-person
12:25 – 12:35	142	Beyond Transportation: Autonomous Vehicles As a Human-City Interface for Future Mobility (presented by Keqi)	In-person
12:35 – 12:45	48	Distributed Swarm Deployment in Fourier Coordinates Via Riesz Energy Shaping	In-person
12:45 – 12:55	49	CBF-QP Based Collision-Constrained Shared Control for Multi Agent Robot Swarms	In-person
12:55 – 13:05	25	ART: Adaptive Relational Transformer for Pedestrian Trajectory Prediction with Temporal-Aware Relations	In-person
13:05 – 13:15	Q&A / Buffer

Day 2 · TR-28 · PM · Session C: Generative AI, Human-Robot Interaction, Digital Twins and Robot Control

Time	Paper #	Paper Title	Type
Thursday, 2 July 2026 · 14:00 – 16:15 · TR-28
Special Session: Generative AI, Human-Robot Interaction and Digital Twins (5mbyy)
14:00 – 14:10	118	Multimodal Voice Distress Detection for Real-Time Safety Monitoring in Schools	In-person
14:10 – 14:20	164	Speech Emotion Recognition with Dual-Stream Channel Attention	In-person
14:20 – 14:30	170	Geo-NWM: A Theoretical Framework for Geometry-Consistent World Models in 6-DoF Humanoid Navigation	In-person
14:30 – 14:40	172	Toward a Humanoid Conductor: Beat-Pattern Gesture Synthesis and Evaluation on the Unitree	In-person
14:40 – 14:50	120	Automated Diagnostic Evaluation of Vision-Guided Waste Sorting Via LLMs	In-person
Special Session: Privacy-Preserving and Trustworthy Human-Agent Collaboration (ndkq7)
14:50 – 15:00	152	Contactless Palmprint Identification with Programmable Multispectral Imaging and Foundation Models on the Edge	In-person
15:00 – 15:10	145	Efficient and Interpretable Tabular Learning Via Visual Transformation	In-person
15:10 – 15:20	122	Governance-Aligned Chatbot Operationalizing the Fourth Edition of the Occupational Therapy Practice Framework (OTPF-4)	In-person
Contributed Papers: Human-Robot Interaction and Control
15:20 – 15:30	32	Adaptive Energy-Based Robot Control for Physical Human-Robot Interaction: A Less Conservative Approach	In-person
15:30 – 15:40	39	Delay-Compensated Stiffness Estimation for Robot-Mediated Dyadic Interaction	In-person
15:40 – 15:50	53	Adaptive Observer-Based Control for Reduced-Sensor Dual-Parallel PMSMs with Stator Resistance Variation	In-person
15:50 – 16:15	Q&A / Buffer

Day 2 · TR-29 · PM · Session D: Linguistic Reasoning, AI Education and Responsible AI

Time	Paper #	Paper Title	Type
Thursday, 2 July 2026 · 14:00 – 16:15 · TR-29
Special Session: Human-AI Systems for Linguistic Reasoning and AI Education (vv157)
14:00 – 14:10	69	AI-Supported Linguistic Reasoning: A Human-AI Decision Support Framework for Multilingual Meaning and Ambiguity	In-person
14:10 – 14:20	107	Joyful Learning with Digital Escape Rooms: A Human-Centered Framework for Teacher Education and AI-Enabled Extension	In-person
14:20 – 14:30	108	AI Powered Interactive Role Play Simulator for Authentic Spoken Language Practice	In-person
14:30 – 14:40	109	Discriminant Insights: Applying Linear Discriminant Analysis to Tamil Vowel Usage for Social Awareness and Emotional Lyrics in Education	In-person
14:40 – 14:50	110	Statistical Modeling of Tamil Vowel Usage for Human-AI Collaborative Language Education: A Comparative Study of LDA and Regularized Logistic Regression	In-person
14:50 – 15:00	111	Quantitative Analysis of Vallinam and Idaiyinam Patterns in Sangam-Era Tamil Texts for Interpretable Language Analytics	In-person
15:00 – 15:10	68	Action-Conditioned Prompting for Air Traffic Control: A Smart Prompt Producer That Converts Controller HMI Actions into Verified, Explainable LLM Outputs	In-person
Contributed Papers: Trust, Responsible AI and Community Systems
15:10 – 15:20	41	FSC-CD: A Feature-Structure Coupled Approach for Community Deception in Networks	In-person
15:20 – 15:30	77	Closing the Context Gap: Community Rules as a Correction Layer for Algorithmic Moderation	In-person
15:30 – 15:40	112	Towards Responsible AI in Safety-Critical Human-Machine Systems: A Literature-Based Governance Framework (Elias Panner)	In-person
15:40 – 15:50	129	Integrating Responsible AI into the Model Development Life Cycle: A Practical Framework for Predictive Maintenance	In-person
15:50 – 16:00	137	A Task-Based Benchmark for Model Context Protocol-Driven Geospatial Dataset Discovery: LLM Agents vs Human Search	In-person
16:00 – 16:15	Q&A / Buffer

Day 3 · TR-27 · AM · Sessions E & F: Physiological Sensing, Workload, BCI, HRI and Human-AI Collaboration

Time	Paper #	Paper Title	Type
Friday, 3 July 2026 · 10:15 – 13:15 · TR-27
Session E: Physiological Sensing, Workload and BCI
10:15 – 10:25	21	Quantifying Biological Sex Leakage in Electroencephalography-Based Mental Workload Measurement and Its Impact on Model Performance	In-person
10:25 – 10:35	61	Continuous Neurophysiological Modeling of Flow Dynamics across Machine-Mediated Task Contexts	In-person
10:35 – 10:45	62	A Multimodal Continuous Emotional Workload Index for Quantifying Stress-Recovery Dynamics	In-person
10:45 – 10:55	85	MSTformer: A Multi-Scale Spatial-Temporal Transformer for Interpretable Mental Workload Monitoring in Simplified Vehicle Operations	In-person
10:55 – 11:05	47	Consumer Trait Prediction from EEG Using a Novel SpectralTraitNet for Neuromarketing Application	In-person
11:05 – 11:15	57	A TCN-Based Framework for Physiological EOG Artifact Removal in Motor Imagery EEG Signals	In-person
11:15 – 11:25	90	Temporal Uncertainty and Reliability of EMG-Based Machine Learning During Dynamic Contractions	In-person
11:25 – 11:35	42	Human Activity Recognition Using 5G Channel State Information with Deep Learning	In-person
Session F: Human-Robot Interaction and Human-AI Collaboration
11:35 – 11:45	46	Physical Human-Robot Interaction: A Review from the Guide Robot Perspective	In-person
11:45 – 11:55	59	Spatial Context-Aware VLM-Assisted Goal Reasoning for Navigation in Guide Service Robots	In-person
11:55 – 12:05	154	Embodiment Matters in LLM-Driven Interactive Storytelling: Comparing a Physical Robot and a Virtual Agent	In-person
12:05 – 12:15	28	Human-In-The-Loop Rebar Inspection: Integrating Vision Foundation Model with Mixed Reality for Construction Quality Assurance	In-person
12:15 – 12:25	99	Quantifying Mentor Resilience in the Digital Companion Program: Human Factors Analysis Via Teaching Log Text Mining	In-person
12:25 – 13:15	Q&A / Buffer

Day 3 · TR-28 · AM · Session G: Autonomous Systems, Control and Robotics

Time	Paper #	Paper Title	Type
Friday, 3 July 2026 · 10:15 – 13:15 · TR-28
Session G: Autonomous Systems, Control and Robotics
10:15 – 10:25	18	A Scenario-Based Warehouse Management Model for Engineering Machinery Maintenance Operations	In-person
10:25 – 10:35	72	Clustering-Based Learning for UAV Tracking and Position Estimation	In-person
10:35 – 10:45	74	Learning-Based Crash Area Prediction for Hexarotors Using Kolmogorov-Arnold Networks	In-person
10:45 – 10:55	169	CED-TRL: Curriculum Environment Design for Temporally Extended Reinforcement Learning Tasks	In-person
10:55 – 11:05	175	Second-Order Sliding Mode Control with Prescribed Performance Guarantees for Nonlinear Systems	In-person
11:05 – 11:15	176	Event-Triggered Adaptive Robust Control for Uncertain Nonlinear Networked Systems under DoS Attacks	In-person
11:15 – 11:25	177	Temporal Query Persistence for Online Open-Vocabulary 3D Instance Segmentation Via Tracking-By-Detection	In-person
11:25 – 11:35	179	Research on the Design and Motion Control of an Underwater Retractable Manipulator	In-person
11:35 – 11:45	180	Pareto-Optimised Sugeno-Adaptive Control for Actuator-Level Trajectory Tracking of Quadrupeds on Complex Terrain	In-person
11:45 – 11:55	166	From Scarcity to Coverage: Generative Behavioral Modeling for Child Identification on Smartphones	In-person
11:55 – 12:05	10	Human-AI Collaborative Learning: Human-In-The-Loop Knowledge Infusion via Topological Neural Representations	In-person
12:05 – 12:15	101	An AR-HUD and VLM Assisted Interactive Driving: From Lightweight Intent Recognition to Real-Time Visual Grounding	In-person
12:15 – 13:15	Q&A / Buffer

Day 3 · TR-29 · AM · Session H: Human Factors, Safety, Healthcare and Speech

Time	Paper #	Paper Title	Type
Friday, 3 July 2026 · 10:15 – 13:15 · TR-29
Session H: Human Factors, Safety, Healthcare and Speech
10:15 – 10:25	44	Effects of Display Size on Depth Perception During UAV Simulation Flight	In-person
10:25 – 10:35	56	PPG-Based Assembly Quality Detection for Human-Centric Manufacturing: An Empirical Study of Cross-Participant Generalization	In-person
10:35 – 10:45	58	Robust Preprocessing for RMSSD-Based Heart Rate Variability in Wearable ECG Data	In-person
10:45 – 10:55	155	CLARITY: Contextual Linguistic Adaptation and Accent Retrieval for Dual-Bias Mitigation in Text-To-Speech Generation	In-person
10:55 – 11:05	159	Human Error Analysis of Excavator-Related Accidents Using Rasmussen’s Skill-Rule-Knowledge Framework: A Retrospective Study	In-person
11:05 – 11:15	162	Exploring Rider Information Processing for E-Scooter Safety: A Pilot Questionnaire Study	In-person
11:15 – 11:25	167	Accident Types, Contributing Factors, and Risk Controls for Electric Scooter in South Korea: A Systematic Literature Review	In-person
11:25 – 13:15	Q&A / Buffer

Day 3 · TR-27 · PM · Virtual Presentations: Special Sessions and Contributed Papers

Time	Paper #	Paper Title	Type
Friday, 3 July 2026 · 14:00 – 16:00 · TR-27
Virtual Special Session: Human-Machine Cooperative Intelligence and Autonomous Driving (6a4h1)
14:00 – 14:10	173	What Self-Driving Companies Should Learn from Drone Remote Operations	Virtual
14:10 – 14:20	160	Risk-Adaptive Pareto Coordination for Electric Articulated Vehicles	Virtual
14:20 – 14:30	174	Vision-Action Coordination During Lane Changes: Temporal Analyzing Gaze and Steering Dynamics in Real-World Driving	Virtual
Virtual Special Session: Simplified Vehicle Operation (3e38s)
14:30 – 14:40	98	A Unified PHM Operation Interface for Cross-Domain Transportation Systems: A Human-Autonomy Teaming and Safety Assurance Framework Based on OSA-CBM and AIOps	Virtual
14:40 – 14:50	89	Attention-Based Deep Reinforcement Learning for eVTOL Visual Landing Assistance in Unstructured Environments	Virtual
Virtual Special Session: Human-AI Systems for Linguistic Reasoning and AI Education (vv157)
14:50 – 15:00	150	Presupposition-Sensitive Analysis of LLM Assisted Tamil Literary Translation for Translation Education	Virtual
Virtual Contributed Papers: General Human-Machine Systems
15:00 – 15:10	161	Robust Building Damage Detection in Cross-Disaster Settings Using Domain Adaptation	Virtual
15:10 – 15:20	171	Multi-Disease Detection and Severity Grading in Guava Leaves Using Deep Learning: A Real-Time Framework for Precision Agriculture	Virtual
15:20 – 15:30	78	When Human-In-The-Loop Fails: Accountability Across AI Adoption Levels in Human-Machine Systems	Virtual
15:30 – 15:40	88	Cognitive Imprinting: Stabilizing Interaction in Human-AI Cybernetic Systems	Virtual
15:40 – 15:50	35	MMFCyberDetector: A Multimodal Skeleton-Based Framework for Cyberbullying Action Detection	Virtual
15:50 – 16:00	Open Q&A with virtual presenters

Day 3 · TR-28 · PM · Virtual Contributed Papers: General Human-Machine Systems

Time	Paper #	Paper Title	Type
Friday, 3 July 2026 · 14:00 – 16:10 · TR-28
Virtual Contributed Papers: General Human-Machine Systems
14:00 – 14:10	14	Event-Triggered Prescribed-Time Synchronization for Multi-Agent Quadcopters Using Polynomial Error	Virtual
14:10 – 14:20	50	Fake Reviews Detection: Evaluation of Machine Learning Methods for Text Classification in Tourism Context	Virtual
14:20 – 14:30	54	SAGE: Student-Focused Adaptive Guidance Engine for Intelligent Tutoring with Regulated Learning	Virtual
14:30 – 14:40	55	ALTR: Adaptive Defense Framework against Adversarial LLM Threats in Critical Domain Applications	Virtual
14:40 – 14:50	63	MTTFormer: A Multi-Branch Integrated Network with Temporal Convolutional Transformers for Motor Imagery Brain-Computer Interfaces	Virtual
14:50 – 15:00	66	Pharmacological Non-Stationarity in Human-AI Systems: A Framework for Medication-Aware Adaptive Decision Support	Virtual
15:00 – 15:10	70	CAPTAINM: A Real-Time LLM and RAG Based Decision Support System for Navigational Safety and COLREGs Compliance	Virtual
15:10 – 15:20	94	Cognitive Training Using a Brain-Computer Interface for θ/β Ratio Self-Regulation – Preliminary Results with Long COVID-19 Survivors	Virtual
15:20 – 15:30	117	On Selecting Chatbots Utilized by Small and Medium-Sized Enterprises: Evaluation of a New Taxonomy-Based Selection Metric for Generative AI Based on a Think-Aloud Study with Decision-Makers	Virtual
15:30 – 15:40	136	Hand Pose Estimation of Point Cloud Dyadic Human-Object-Human Seated Handover Tasks	Virtual
15:40 – 15:50	157	Language Model-Based Monitoring of Cynicism and Discourse Convergence in Student Opinion Articles (2010-2024)	Virtual
15:50 – 16:00	19	Impact of Measurement Duration on the Identification of Touchscreen Biodynamic Feedthrough Models (w SERIO LUCA)	Virtual
16:00 – 16:10	Open Q&A with virtual presenters

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Keynote 1

Prof. Ljiljana Trajković

Data Mining and Machine Learning for Analysis of Network Traffic

Abstract

Collection and analysis of data from deployed networks is essential for understanding communication networks. Hence, data mining and statistical analysis of network data have been employed to determine traffic loads, analyze patterns of users’ behavior, predict future network traffic, and detect traffic anomalies. The Internet has historically been prone to failures and attacks that significantly degrade its performance, affect the Internet connectivity, and cause routing disconnections. Frequent cases of various cyber threats have been encountered over the years and, hence, detection of anomalous behavior is a topic of great interest in cybersecurity. In described case studies, traffic traces collected by various collection sites are used to classify network anomalies. Various anomaly and intrusion detection approaches based on machine learning have been employed to analyze collected data. Deep learning, broad learning, gradient boosted decision trees, and reservoir computing algorithms were used to develop models based on collected datasets that contain Internet worms, viruses, power outages, ransomware events, router misconfigurations, Internet Protocol hijacks, and infrastructure failures in times of conflict. The reported results indicate that while performance of machine learning models greatly depends on the used datasets, they are viable tools for detecting the Internet anomalies.

Biography

Ljiljana Trajkovic received the Dipl. Ing. degree from University of Pristina, Yugoslavia, the M.Sc. degrees in electrical engineering and computer engineering from Syracuse University, Syracuse, NY, and the Ph.D. degree in electrical engineering from University of California at Los Angeles. She is currently a professor in the School of Engineering Science, Simon Fraser University, Burnaby, British Columbia, Canada. Her research interests include communication networks and dynamical systems. Dr. Trajkovic served as IEEE Division X Delegate/Director, President of the IEEE Systems, Man, and Cybernetics Society, and President of the IEEE Circuits and Systems Society. She serves as Editor-in-Chief of the IEEE Transactions on Human-Machine Systems and is a Fellow of the IEEE.

Keynote 2

Prof. Toshio Fukuda

AI Robots and Future Direction: Embodied Intelligence and Robot

Abstract

There are many ways to make research and development of physical AI robotic systems. I focus on “Embodied Intelligence and Robot” here based on the coevolution and self organization capabilities aiming on solving the Mega-Trend problems. There are new and challenging programs and projects aiming at the AI robotic system in future. I will introduce some of the research projects for realization of the future robot in various fields by back-casting technologies from the 2050 to the current ones. It is important to have new ideas for the physical AI robots rather than not only applications of conventional AI.

Biography

Toshio Fukuda received Dr. Eng. from the University of Tokyo, Tokyo, Japan, in 1977. Currently, he is Professor Emeritus at Nagoya University, Professor at Waseda University and Vice President of E-JUST. His major is bio-robotics, especially Micro and Nano Robotics. Dr. Fukuda served as IEEE President and CEO (2020), IEEE Director of Division X, Systems and Control (2017–2018), IEEE Region 10 Director (2013–2014), and President of IEEE Robotics and Automation Society (1998–1999). He was Founding President of IEEE Nanotechnology Council (2002–2003, 2005). Awards include IEEE Robotics and Automation Pioneer Award (2004), IEEE Robotics and Automation Technical Field Award (2010), Medal of Honor on Purple Ribbon (2015), and The Order of the Sacred Treasure, Gold Rays with Neck Ribbon (2022). He is an IEEE Fellow (1995) and Member of the Japan Academy of Engineering (2013).

Keynote 3

Prof. Chen Chun-Hsien

AI-aided Human Factors in Intelligent Traffic Management Systems

Abstract

The formal field of human factors was originated during World War II, while artificial intelligence (AI) was invented as a field of study in the mid-1950s. Nevertheless, interactions between these two fields of research used to be limited conventionally. However, AI technologies have been increasingly applied to support various human factors tasks in recent years. In traffic management systems, AI has been employed to identify, analyse, and monitor mental states such as fatigue, workload, and stress for ensuring well-being, enhancing performance, and maintaining operational safety. This talk covers the role of AI in human factors, with applications in air traffic management (ATM) and vessel traffic management (VTM), including case studies on human fatigue detection.

Biography

Chun-Hsien Chen is Full Professor, Director of the Design Stream, and Professor-in-Charge of the Design & Human Factors Lab in the School of Mechanical & Aerospace Engineering, Nanyang Technological University, Singapore. He received his BS in Industrial Design from National Cheng Kung University, Taiwan, and MS and Ph.D. in Industrial Engineering from the University of Missouri-Columbia, USA. His research interests include design science, engineering informatics, and human factors. He has over 300 publications and serves as Co-Editor-in-Chief of Advanced Engineering Informatics (since 2013). He has been listed in the World’s Top 2% Scientists by Stanford University (2022–2025).