Aashit Rathore received his Bachelor of Technology (B.Tech.) in mechanical engineering from the Indian Institute of Technology Guwahati, India, in 2019. He is currently pursuing his Master of Applied Science (M.A.Sc) in the mechanical engineering department, at McMaster University. He works under the supervision of Dr. Ali Emadi at the McMaster Automotive Resource Centre (MARC). His primary research interest is in the modelling and controlling of hybrid electric powertrains, control systems, optimal control, connected and autonomous vehicles, and battery management systems.
Full Profile
Since childhood, Aashit has always been a curious and active student. His passion for cars and his desire to be at the forefront of technological advancement by creating innovative solutions, led him to pursue his automobile career. He started his academic career by joining the Indian Institute of Technology Guwahati, India, for his undergraduate studies, by clearing the competitive exam considered among the toughest in the world.
During his undergraduate career, he actively engaged in various national-level competitions conducted across India. One such competition was the Formula Bharat. Aashit has worked as the project manager for his collegiate Formula SAE club and led the drivetrain team across the competitions. In the summer of 2018, he secured a research internship at the Center for Automotive Research (CAR) at Ohio State University. It was here that he worked under the supervision of Dr. Jeffrey P. Chrstos, while working on the state-of-the-art Driver-in-the-Loop simulator. Fascinated and inspired by the ongoing collective effort towards a sustainable future, Aashit worked on a torque-vectoring algorithm for electric vehicles, as a part of his undergraduate thesis project.
Currently, Aashit is working as a master’s student under the supervision of Dr. Ali Emadi, at the McMaster Automotive Resource Centre (MARC). He contributes to the car of the future, in collaboration with an industry project with Stellantis. Specifically, he works on supervisory energy management control strategies, for hybrid electric powertrains. Furthermore, he is also working on developing a novel algorithm for the energy management of connected and autonomous vehicles (CAV’s). His research and field of interest are in the modelling and controlling of hybrid electric powertrains, optimal control, connected and autonomous vehicles, and battery management systems. Apart from that, he enjoys playing cricket and watching Formula 1.
