His research is focused on developing core AI and machine-learning algorithms that were successfully applied for robust face detection, face recognition, iris biometrics, and most recently, general object detection and scene understanding. He and his team were the first in the world to develop a long-range iris capture and matching system capable of acquiring irises up to 12m away in an unconstrained manner. His recent work includes ranking first in Vision for Intelligent Vehicles and Applications competition for hand detection on steering wheels in natural challenging driving conditions. Some of his recent work can detect heavily occluded faces and objects in general under very challenging real-world conditions, developing low-shot object detection and recognition utilizing only a small number of images.