Prof. Feldman is a worldwide leader and main developer both in academy and industry for the research field known as core sets: a provably small and problem dependent data reduction.  While the theory is based on deep computational geometry, (current\modern) applications include Machine/Deep learning of Big Data, Robotics, Computer Vision, Cybersecurity, and many more.