Cristina Olaverri-Monreal is a full professor and head of the Department Intelligent Transport Systems at the Johannes Kepler University Linz, in Austria. Prior to this position, she led diverse teams in the industry and in the academia in the US and in distinct countries in Europe.

She is the IEEE Division IX Director and member of the 2026-2027 IEEE Board of Directors. Prior to this role, she served as President of the IEEE Intelligent Transportation Systems Society (IEEE ITSS) in 2022 and 2023. She also serves as Chair of the Technical Activities Committee (TAC) on Human Factors in Intelligent Transportation Systems and is the founder and chair of the Austrian IEEE ITSS chapter. Prof. Olaverri is a senior/associate editor and editorial board member of several journals in the field, including the IEEE ITS Transactions and IEEE ITS Magazine.

She received her PhD from the Ludwig-Maximilians University (LMU) in Munich in cooperation with BMW. Her research aims at studying solutions for an efficient and effective transportation focusing on minimizing the barrier between users and road systems. To this end, she relies on the automation, wireless communication and sensing technologies that pertain to the field of Intelligent Transportation Systems (ITS).

Furthermore, she is an expert for the European Commission on ”Automated Road Transport” and consultant and project evaluator in the field of ICT and “Connected, Cooperative Autonomous Mobility Systems” for various EU and national agencies as well as organizations in Germany, Sweden, France, Ireland, etc. In 2017, she was the general chair of the “IEEE International Conference on Vehicles Electronics and Safety” (ICVES 2017). She was awarded the “IEEE Educational Activities Board Meritorious Achievement Award in Continuing Education” for her dedicated contribution to continuing education in the field of ITS. She has also been recently awarded with the prestigious 2023 IEEE MGA Diversity & Inclusion Award. ss

Andras Palffy received an M.Sc. degree in computer science engineering from Pazmany Peter Catholic University, Hungary, in 2016, and another M.Sc. degree in digital signal and image processing from Cranfield University, U.K., in 2015.

From 2013 to 2017, he was an algorithm researcher at Eutecus, a US based startup acquired by Verizon, developing computer vision algorithms for traffic monitoring and ADAS applications.

He obtained his Ph.D. degree in 2022 at Delft University of Technology, Netherlands, focusing on radar based road user detection for automated driving. He is the first author of the "View of Delft" dataset, which is one of the most widely used automotive dataset including 4D radar data, used by 800+ researchers around the world.

In 2022 he co-founded Perciv AI, a machine perception startup developing AI-driven, next generation machine perception for radars.

TBD.