BIOGRAPHY

Suryansh Kumar received his Ph.D. in engineering and computer science from the Australian National University (ANU), Canberra, in December 2019. He completed his M.S. in computer science and engineering from the International Institute of Information Technology, Hyderabad (IIIT-H), in 2013.

Before joining Texas A&M University, he completed his professorship in the field of Computer Vision at ETH Zürich under the guidance of Prof. Dr. Luc Van Gool. He also worked as a visiting scientist in the e-Motion Group at INRIA Rhône Alpes Grenoble. He has published over 35 peer-reviewed papers at the top-most venues in computer science. He regularly serves as a reviewer for CVPR, ECCV, ICLR, TPAMI and ICRA.

Kumar received the Best Algorithm Award in CVPR 2017 from Disney Research for his work on non-rigid 3D reconstruction. His Ph.D. thesis received a nomination for the J.G. Crawford Prize at ANU for Best Interdisciplinary Ph.D. Thesis for the year 2019. His research interests include computer vision, generative AI, robotics, machine learning and mathematical optimization.