We are back with the IEEE Region 8 Action for Industry (AfI) Webinar Series, co-organized by our Section Industry Ambassadors!
Join us for our upcoming webinar!
AI for Life: From Intelligent Mobility to Real-World Impact
Save the date 13th of October 2026 at 6 pm CET DST
Webinar link: [https://meet.google.com/kgf-fxfu-rdd]
Moderator:
Sevda Abadpour (IEEE Germany Section Industry Engagement Coordinator)
Dr. Sevda Abadpour is an Intelligent Sensing and Autonomous Systems Expert with over a decade of experience in advanced sensing, AI-enabled perception, and autonomous driving technologies. Her expertise spans radar, LiDAR, camera-based sensing, sensor fusion, and intelligent systems for environmental perception and prediction.
She earned her Ph.D. from the Karlsruhe Institute of Technology (KIT) and currently works at NXP Semiconductors, following senior engineering roles at Cruise and Qorvo. An IEEE Senior Member, she serves as Industry Liaison for the IEEE VTS IS3C-MI Technical Committee and contributes to the VTS Technical Committee on Propagation and also the IEEE RAS German. She has authored or co-authored a book and over 20 scientific publications and actively promotes industry–academia collaboration through IEEE technical and leadership activities.
She is the organizer and moderator of “AI for Life: From Intelligent Mobility to Real-World Impact.”
Co-Moderator:
Aida Elsabban (IEEE R8 AfI Committee Member, Egypt)
Speakers:
Prof. Dr. Stefan-Alexander Schneider
(Professor for Advanced Driver Assistance Systems (ADAS), Kempten University of Applied Sciences, Germany)
Prof. Dr. Stefan-Alexander Schneider is Professor for Advanced Driver Assistance Systems (ADAS) at Kempten University of Applied Sciences, Germany, and Visiting Professor at Shibaura Institute of Technology (SIT), Tokyo, Japan. His research focuses on the safety and validation of intelligent vehicle systems, with particular emphasis on closed-loop simulation, AI-based perception, environmental influences on sensor performance, and urban digital twins. He is actively involved in the development and application of open standards such as ASAM OSI and explores systematic methods for evaluating AI-based functions under safety-critical conditions. His work bridges academic research and industrial application in ADAS, automated driving, simulation, and automotive safety.
Elmar Matthes
(Head of Camera-based ADAS & ITS, IAV, Germany)
Elmar Matthes is Head of the Department of Camera-based ADAS & ITS at IAV and a recognized expert in ADAS, vehicle perception, and automated driving. With more than 30 years of experience in automotive engineering, he combines industrial leadership with active research and international collaboration.
As a Senior Member of the IEEE, author of numerous publications, and a regular speaker, workshop organizer, and panelist at conferences such as IEEE ITSC, IEEE EV, and FAST-zero, he is passionate about advancing safe, intelligent, and future-ready mobility through innovation and cross-industry collaboration.