Adnan Armouti
CS PhD Candidate, Cornell University
Graduate Committee: Prof. Rajalakshmi Nandakumar (chair), Andrew Owens, Steve Marschner, Alyosha Molnar
I develop physics-based generative models for millimeter-wave radars to enable radio frequency perception and unlock capabilities beyond ordinary cameras. I work on differentiable rendering and foundation models for inverse problems in FMCW radar imaging, with applications in 3D vision, human-centric sensing and autonomous robotics. My work appears at NeurIPS, ECCV, and SIGGRAPH, and is supported by an NVIDIA Academic Grant.
Previously, I completed my Bachelors and Masters at UCLA Electrical and Computer Engineering. During this time, I worked with Achuta Kadambi on computational imaging and computer vision, supported by an NSF REU Fellowship and Intel SRC URP Scholarship. I am a proud recipient of UCLA ECE's Distinguished Master's Thesis and Outstanding Master's Student awards.