Rohan Chandra is an Assistant Professor of Computer Science at the University of Virginia with a decade of experience bridging cutting-edge research and applied systems in autonomous vehicles and trajectory prediction. He completed his PhD at the University of Maryland, where his work focused on deep learning for autonomous cars, and continued this line of research as a postdoc at UT Austin and an intern at NVIDIA. Rohan combines rigorous academic training with hands-on industry experience, translating probabilistic prediction and perception models into practical systems. Based in Charlottesville, he maintains an active research presence (see cral-uva.github.io) and brings a collaborative, mentor-first approach to building research groups and teaching next-generation engineers. An under-the-radar strength is his cross-disciplinary background spanning ECE foundations and economics coursework, which informs his systems-level thinking about AI in real-world contexts.
10 years of coding experience
2 years of employment as a software developer
Summer Session '14, Economics, Summer Session '14, Economics at University of California, Berkeley
B. Tech, Electrical, Electronics and Communications Engineering, B. Tech, Electrical, Electronics and Communications Engineering at Delhi Technological University (Formerly DCE)
Amity International School Noida
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Maryland
Contributions:443 pushes, 1 branch in 8 years 7 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.