Arjun Teh's Profile Picture

Arjun Teh

PhD Candidate

CSD, SCS, Carnegie Mellon University

Github / Email / CV

Hey! I'm a final-year PhD student at Carnegie Mellon University, co-advised by Matt O'Toole and Ioannis Gkioulekas. My research focuses on computational methods for designing geometric optics, where I combine differentiable rendering with Markov chain Monte Carlo optimization techniques. I build differentiable simulators that solve both reconstruction problems and design optimization tasks.

Before starting my PhD, I worked as a software engineer at Magic Leap and studied Computer Engineering at the University of Texas at Austin.

Publications

Automated Compound Lens Design with Discrete-Continuous Optimization

(Under Review)

Arjun Teh, Delio Vicini, Bernd Bickel, Ioannis Gkioulekas, Matthew O'Toole

Indoor Airflow Imaging Using Physics-Informed Schlieren Tomography

ICASSP 2025

project page

Arjun Teh, Wael H. Ali, Joshua Rapp, Hassan Mansour

Aperture-aware Lens Design

SIGGRAPH 2024

project page

Arjun Teh, Matthew O'Toole, Ioannis Gkioulekas

Adjoint Nonlinear Ray Tracing

SIGGRAPH 2022

project page

Arjun Teh, Matthew O'Toole, Ioannis Gkioulekas

Talks