Mohsen Rohani
About Mohsen Rohani
Mohsen Rohani is a Senior Machine Learning Research Scientist at Nuro, specializing in the development of autonomous delivery vehicles. He holds a PhD in Electrical, Electronics and Communications Engineering from Université de Sherbrooke and has extensive experience in robotics and machine learning.
Current Role at Nuro
Mohsen Rohani serves as a Senior Machine Learning Research Scientist at Nuro, a position he has held since 2022. In this role, he focuses on the application of machine learning technologies in the development of autonomous delivery vehicles. His work contributes to the advancement of electric, zero-occupant vehicles, aligning with Nuro's mission to innovate in the field of robotics and transportation.
Previous Experience at Université de Sherbrooke
Prior to his current role, Rohani worked at Université de Sherbrooke as a Principal Scientist in the Laboratory on Intelligent Vehicles (LIV) for 11 months in 2015. He also served as a Ph.D. Research Assistant at the same institution from 2012 to 2015. During his time at Université de Sherbrooke, he focused on research related to intelligent vehicle systems.
Experience at Huawei Technologies
From 2016 to 2022, Rohani was employed at Huawei Technologies as a Senior AI/Robotics Researcher. His work involved advancing artificial intelligence and robotics technologies, contributing to various projects that enhanced the company's capabilities in these fields.
Educational Background
Rohani holds a Doctor of Philosophy (PhD) in Electrical, Electronics and Communications Engineering from Université de Sherbrooke, where he studied from 2012 to 2015. He also earned a Master of Science (MSc) in the same field from the University of Tehran from 2007 to 2010, and a Bachelor of Science (B.Sc.) from Amirkabir University of Technology - Tehran Polytechnic from 2003 to 2007.
Research Focus and Community Engagement
Rohani engages in research aimed at enhancing local communities through innovative robotics solutions. His strong background in robotics supports his contributions to the development of technologies that address community needs, particularly in the realm of autonomous vehicle systems.