Ph.D. in Electrical Engineering, Columbia University (2016)
Bachelors of Engineering in Electrical and Computer Engineering, National University of Singapore (2008)
Ju Sun joined the Department of Computer Science & Engineering as an assistant professor in 2019. He also serves as the director of the Group of Learning, Optimization, Vision, healthcarE, and X and of the Healthcare Computer Vision Program at the University. Sun received his Ph.D. (2016) in electrical engineering from Columbia University. Before joining the University, he served as a research engineer at the National University of Singapore from 2008-11 and as a postdoctoral scholar at Stanford University from 2016-19.
Sun’s group works at the intersection of machine learning, numerical optimization, computer vision, and data science, and our recent focus is to develop the theoretical and computational foundations of machine learning in general and deep learning in particular, as well as apply them to tackle challenging scientific, engineering, and medical problems.
Research Division
Robotics and Artificial Intelligence
Current Research
Google Scholar
Group of Learning, Optimization, Vision, healthcarE, and X (GLOVEX)
Collaboration with Cisco explores frontier of data technologies
Team receives $1.2 million NSF grant to develop smart e-scooters
Artificial intelligence, real-life results
Robotics faculty members awarded new research grants
Researchers develop algorithm to analyze chest X-rays for COVID-19
CS&E welcomes Assistant Professors Fazzini and Sun
Selected Grants
Federated and imbalanced learning for medical NLP
Sun, J.; CISCO SYSTEMS, INC; 12/7/22 - 12/31/23
CPS: Medium: Smart Tracking Systems for Safe and Smooth Interactions Between Scooters and Road Vehicles
Rajamani, R., Morris, N. L. & Sun, J.; National Science Foundation; 1/1/21 - 12/31/23
FAIR Framework for Physics-Inspired AI in High Energy Physics
Sun, J.; Department of Energy; 1/1/20 - 12/31/23