Tejas Gokhale is an Assistant Professor of Computer Science at the University of Maryland Baltimore County. He completed his Ph.D. from Arizona State University, co-advised by Yezhou Yang and Chitta Baral, M.S. from Carnegie Mellon University, and B.E. (Honours) from Birla Institute of Technology and Science, Pilani. His work focuses on design of robust and reliable systems that can understand the visual world. The two focii of his lab are to address reliability from the perspective of machine learning and from the perspective of use-inspired and human-centered computing. His work has been published at several premier venues across AI, vision, and NLP. Tejas is a recipient of the ASU Engineering Graduate Fellowship, SCAI Doctoral Fellowship, ASU GPSA Outstanding Mentor award, and top reviewer awards at NeurIPS and ICLR.