ECE Seminar: Arjun Teh

Title: Computational Lens Design

Abstract: Arjun Teh is currently a Ph.D. Student at Carnegie Mellon University advised by Ioannis Gkioulekas and Matthew O'Toole. He is primarily interested in inverse rendering techniques and its use in geometric optics. His work has been on developing efficient differentiable rendering techniques in the context of lens design to enable gradient based optimization. Prior to joining his Ph.D. program, Arjun worked as a software engineer at Magic Leap after completing his undergraduate degree at the University of Texas at Austin.

Bio: Arjun Teh is currently a Ph.D. Student at Carnegie Mellon University advised by Ioannis Gkioulekas and Matthew O'Toole. He is primarily interested in inverse rendering techniques and its use in geometric optics. His work has been on developing efficient differentiable rendering techniques in the context of lens design to enable gradient based optimization. Prior to joining his Ph.D. program, Arjun worked as a software engineer at Magic Leap after completing his undergraduate degree at the University of Texas at Austin.