• +9821 64545667, +9821 64542501
  • aismartvehicle@aut.ac.ir
  • Amirkabir University of Technology, Tehran, lran
Local and Global Contextual Features Fusion for Pedestrian Intention Prediction

Local and Global Contextual Features Fusion for Pedestrian Intention Prediction

Biography: Dr Mahdi Rezaei is an Associate Professor of Computer Science and a University Academic Fellow at ‎the Institute for Transport Studies, University of Leeds. Dr Rezaei has a background in AI, ‎Computer Vision, and Machine Learning and obtained his PhD from the University of Auckland, ‎New Zealand. Having over 15 years of experience in ‎academia and industry his primary research focus…

Long-Tail Learning and Out-of-Distribution Detection in Autonomous Driving

Long-Tail Learning and Out-of-Distribution Detection in Autonomous Driving

Biography: Nima Mohajerin is an accomplished researcher and engineer with a keen interest in the intersection of Machine Learning and Robotics. He has been an active participant in the Autonomous Vehicle industry and academia since 2012, where he has made significant contributions to the research and development of cutting-edge technologies. Currently, he serves as a Senior Research Lead at Nuro AI,…

Resilience of connected vehicles: a control-theoretic approach

Resilience of connected vehicles: a control-theoretic approach

Biography: Mohammad Pirani is a research assistant professor with the Department of Mechanical and Mechatronics Engineering, University of Waterloo. Before that, he held postdoctoral research positions at the University of Toronto (from 2019 to 2021) and KTH Royal Institute of Technology, Sweden (2018 to 2019). He received his M.A.Sc. in Electrical and Computer Engineering and Ph.D. in Mechanical and Mechatronics Engineering,…