Summary
Anoop Cherian is a Senior Principal Research Scientist based in Cambridge, MA, with eight years of focused research experience in computer vision, machine learning, and robotics. He leads work on human pose estimation, activity recognition, and image understanding, blending deep learning with graphical models and geometric manifold methods like Grassmannians and SPD manifolds. His background includes progressive research roles at Mitsubishi Electric Research Laboratories, INRIA, and the Australian National University, grounded by a PhD and MS in Computer Science from the University of Minnesota. Anoop also has industry engineering roots from developing Windows Vista at Microsoft, which gives him practical systems perspective alongside theoretical depth. He applies sparsity-based models to information retrieval problems such as image/video search and action recognition, often combining statistical geometry with large-scale learning. Colleagues would note his knack for connecting abstract geometric ideas to real-world visual reasoning tasks.
7 years of coding experience
17 years of employment as a software developer
MS, Computer Science, MS, Computer Science at University of Minnesota
B.Tech, B.Tech at National Institute of Technology Calicut