Dr. I-Jeng Wang is a principal staff scientist with a broad background spanning stochastic control, optimization, estimation, and machine learning. His current research focuses on the development of machine learning and artificial intelligence techniques to enable safe and robust operation of intelligence systems in complex real-world environments. He has been a research assistant professor in the Johns Hopkins Computer Science Department since 2004 and was an associate editor for IEEE Transactions on Automatic Control from 2006 to 2009.
Ph.D., Electrical and Computer Engineering
M.S., Electrical Engineering
B.S., Control Engineering
National Chiao Tung University