Asad Norouzi
About Asad Norouzi
Asad Norouzi serves as the Algo Team Lead at LeddarTech and holds multiple leadership positions within IEEE Canada and the IEEE Robotics and Automation Society. With extensive experience in machine learning and computer vision, he has contributed to various educational and industrial projects in the field of autonomous driving.
Work at LeddarTech
Asad Norouzi serves as the Algo Team Lead at LeddarTech, a role he has held since 2022. Based in Toronto, Ontario, Canada, he focuses on developing algorithms for advanced driver-assistance systems and autonomous driving technologies. His expertise in machine learning and deep learning contributes to the company's innovative solutions in the automotive sector.
Current Roles at IEEE Canada
Norouzi has been actively involved with IEEE Canada since 2021, holding multiple positions. He serves as the Executive Committee member for IEEE Region 7 Industry Relations and as Vice Chair for IEEE Region 7 Educational Activities. Additionally, he is the Chair of IEEE Toronto Industry Relations. His contributions support the growth and development of engineering and technology communities in the region.
Academic Involvement
Norouzi is an Instructor at FourthBrain since 2022 and a Professor at Seneca College since 2020. His teaching focuses on machine learning and artificial intelligence, sharing his extensive knowledge and experience with students. He has also contributed to academic research as a Research Scientist at Ryerson University for a brief period in 2020.
Professional Background
Norouzi has a diverse professional background, having worked at Huawei Technologies Canada as a Senior Research Scientist and as a Senior Computer Vision & Machine Learning Engineer. His experience spans various roles in academia and industry, including positions at Amazon Web Services as an AWS Educate Cloud Ambassador and at Singapore Polytechnic as a Lecturer and Research Engineer.
Education and Expertise
Norouzi holds multiple degrees in Computer Software Engineering, including a Master of Science from Chalmers University of Technology. He has completed several Nanodegrees from Udacity, focusing on Self-Driving Car Engineering and Deep Learning. His expertise includes using platforms like Google MLKit and cloud services such as AWS and GCP for AI applications, as well as advanced skills in TensorFlow and Keras.