Dr. Hossein Hassani received his Ph.D. in Electrical and Computer Engineering from the University of Windsor, Canada, in 2023. Between April and August 2023, he served as a Research Assistant in the Department of Electrical and Computer Engineering at Western University, Canada, where he presently holds the position of Postdoctoral Associate. His ongoing research centers on deep reinforcement learning and its applications in self-driving cars.

Roksana received her B.S. and MSc. degrees in Electronic Engineering from the University of Isfahan, Isfahan, in 2016 and 2019, respectively. Her MSc. thesis was focused on "face detection" algorithms and the implementation of machine learning algorithms on FPGA. In 2022, she commenced her Ph.D. at Western University, London, ON, Canada. Her doctoral research primarily concentrates on improving Level 3 autonomous driving through extensive research on various "gaze estimation" and "driver's action recognition" models. Since 2022, she has been an active member of the IEEE Young Professionals, the IEEE Membership program, and the IEEE Women in Engineering initiative. 

Mojtaba Nabipour, a member of IEEE, received his B.Sc. in engineering from Noshirvani University of Technology, Babol, Iran, in 2009. He later completed his M.Sc. at Tarbiat Modares University, Tehran, Iran, in 2015. As of January 2023, he is pursuing a Ph.D. in the Electrical and Computer Engineering department at the University of Western Ontario (UWO) in London, ON, Canada. His primary research interests include computer vision, machine learning applications, and advanced manufacturing. 

Guanxing Fu is currently pursuing a Master’s degree in the Department of Electrical and Computer Engineering at Western University, with a Collaborative Specialization in Artificial Intelligence. After receiving his B.S. degree in Electronic Information Engineering from Nanjing University of Science and Technology, China, he gained solid industry experience in embedded software development and testing, having worked across diverse sectors including industrial automation, autonomous driving, and wireless telecommunications. His current research focuses on in-vehicle machine learning applications for safety enhancement, such as driver status monitoring, and on applying multitask learning to improve the efficiency of computationally constrained embedded systems. 

Wenyi received her Master's at the Department of  Electrical & Computer Engineering, Western University, with a collaborative specialization in artificial intelligence, and Bachelor of Computer Science from Dalhousie University in 2023, with a minor in Mathematics and an undergraduate certificate in Aritifical Intel & Intelligt Sys. Her professional experience includes an internship at Tencent as a project manager assistant and a role as a research assistant volunteer at Mount Sinai Hospital. Her ongoing project is to detect emergency vehicle approaching a self-driving car.