Abstract
The panel will present how the advanced AI is driving automation, problem-solving, and decision-making in the context of transportation systems, Autonomous vehicles and Logistics.
Industrial people and researchers will discuss how the AI will create significant opportunities to improve productivity, customer experience, and decision-making, in the considered application area and vertical.
Strategies for managing AI risks, compliance, and responsible adoption will be discussed.
The aim of the panel is to gather a large community of researchers, practitioners and industrial people interested in AI application to transportation, traffic systems, autonomous vehicles and logistics by outlining new trends and problems in this area focusing on practical applications, problems and decision making.
Target Audience
Researchers, practitioners and Industrial people.
Presenters
- André Perpey, ZME NeoGLS, (Martillac, France)
- Dimitris Tzanis, CERTH-HIT (Thessaloniki, Greece), Research Associate, Linkedin
- Ming Hou, Defence Research and Development Canada, Linkedin
Outline and Description of the Panel
Moderator: Maria-Pia Fanti (POLIBA)
Speakers (15 minutes each presentation), the additional time will be devoted to questions and discussion:
- André Perpey (NeoGLS, France): “Traffic light CCAM use cases optimized by AI”
- Dimitris Tzanis, CERTH (Greece): “The AI Powered Shift to Predictive Multimodal Traffic Management”
- Ming Hou, Defence Research and Development Canada (CANADA): “R4 Trustworthy AI”