“People will remain part of future mobility systems by supervising fleets, reviewing sensor data and collaborating with autonomous vehicles.” To account for this human factor, he develops mathematical models that help autonomous systems determine when and how to act. Across each area of study, Srivastava is making autonomous systems more adaptable, improving safety and reliability in uncertain environments. At MSU, researchers are exploring these challenges through a generative AI tool for vehicle sales training and an ethical framework for mobility technology. “As autonomous vehicle technology grows, its impact will expand to be as ubiquitous as social media.