I-Jeng Wang received his Ph.D. in Electrical Engineering from Purdue University in 1996 with a focus on stochastic control and optimization. After one year of post-doc with the Institute for Systems Research at University of Maryland, he joined Johns Hopkins University Applied Physics Laboratory (JHU/APL) in 1997, where he is the Chief Scientist of the Tactical Intelligence Systems Group within the Asymmetric Operations Sector. At JHU/APL, Dr. Wang has led research projects funded by ARL, DARPA, ONR, and NSF with a focus on algorithmic research across domains including target detection, resource allocation, wireless networking, adaptive sensor control, compressive sensing, and machine learning for intelligent systems. His current research focuses on addressing algorithmic challenges specific to the robustness, generalization, and safety of advanced AI techniques for real-world applications. He also has an affiliation with Computer Science Department at the Johns Hopkins University as a research faculty.