Arjun Teh's Profile Picture

Arjun Teh

PhD Candidate

CSD, SCS, Carnegie Mellon University

Github / Email / CV

Hey! I'm a recent PhD graduate from 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.

Currently, I am a research intern at Epic Games working on integrating generative models with artists tools. 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

Computational Lens Design

Thesis, Carnegie Mellon University

link

Arjun Teh

Automated Compound Lens Design with Discrete-Continuous Optimization

SIGGRAPH Asia 2025

project page

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