Anand Bhattad is an assistant professor of computer science and a member of the Data Science and AI Institute at the Johns Hopkins University. He also leads the Pixels, Perception, and Physics (3P) Vision Group, which is focused on building perception-driven and physics-aware visual models from raw pixel data.
Bhattad’s research spans computer vision, computer graphics, generative modeling, and physical reasoning. His work explores fundamental questions about what generative visual models understand—and don’t—about the physical world. Bhattad is also interested in how these models compare to human perception and how insights from this comparison can inform the design of generative systems that are grounded in physical principles and perception.
He earned his PhD in computer science from the University of Illinois Urbana-Champaign, where he was advised by David Forsyth. Before joining Johns Hopkins, Bhattad was a research assistant professor at the Toyota Technological Institute at Chicago and a visiting scholar at the University of California, Berkeley, hosted by Alexei A. Efros.