Vikram Grewal completed his bachelor of technology in automotive and vehicle technology at McMaster University in 2016 and his master of data science at the University of British Columbia in 2023. In January 2025, he returned to McMaster University as a Ph.D. student at the McMaster Automotive Resource Centre (MARC) under the supervision of Dr. Ali Emadi. His research interests include Advanced Driver Assistance Systems (ADAS), safety in autonomous systems, autonomous driving, and Vehicle-to-Everything (V2X) communication.
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Vikram Grewal’s passion for vehicles and intelligent systems has shaped a multidisciplinary journey that bridges automotive engineering and data science. His academic path began in McMaster University’s automotive B.Tech. program, where he built a strong foundation in vehicle systems, mechanical design, and automotive technologies, driven by a lifelong fascination with the evolution of transportation.
After completing his undergraduate studies, Vikram gained practical engineering experience as a mechanical designer. While this role deepened his understanding of mechanical systems in real-world applications, it also sparked a growing interest in the emerging technologies reshaping the future of mobility. Inspired by the transformative potential of artificial intelligence, he went on to complete a master of data science at the University of British Columbia, with a focus on machine learning, deep learning, and data-driven problem-solving.
Motivated to unite his background in vehicle systems with his expertise in AI, Vikram began his Ph.D. studies at McMaster University in 2025 under the supervision of Dr. Ali Emadi. His research explores the intersection of safety and autonomy in intelligent transportation systems, with a particular focus on Advanced Driver Assistance Systems (ADAS), Vehicle-to-Everything (V2X) communication, and the development of robust safety frameworks for autonomous vehicles.
Vikram is especially interested in simulation as a tool for validating autonomous driving technologies under diverse and challenging scenarios. He believes simulation-based development plays a crucial role in ensuring the safety, reliability, and performance of AI-driven mobility. For Vikram, the future of transportation lies in the thoughtful integration of disciplines and technologies—bringing together engineering and data science to build safer, smarter vehicles.
