Vasudev Gohil is pursuing a Ph.D. in Computer Engineering at Texas A&M University in College Station, Texas. His research interests lie at the intersection of machine learning and hardware security. He has a keen interest in examining and developing IP protection techniques and applying reinforcement learning techniques for security. He has developed efficient and effective reinforcement learning solutions to improve the security of embedded systems, such as detecting hardware Trojans and identifying fault injection vulnerabilities. He interned with the DSO.ai team at Synopsys Inc., USA, in the summer of 2022, where he worked on improving their AI-based tool for design-space exploration of integrated circuits. Prior to his doctoral studies, Vasudev received a Bachelor of Technology degree in Electrical Engineering with minors in Computer Science from the Indian Institute of Technology Gandhinagar.