Samuel J. Audia

PhD Student Computer Science University of Maryland, College Park sjaudia@umd.edu
Biography
I am a second-year PhD student in Computer Science at the University of Maryland, College Park, co-advised by Dr. Dinesh Manocha and Dr. Matthias Zwicker. I work with the GAMMA Lab, and my research interests span high-performance computing, simulation, and machine learning. Before starting my PhD, I earned dual Bachelor's degrees in Mechanical Engineering and Computer Science—graduating Summa Cum Laude from UMD in 2020. I then joined the Johns Hopkins Applied Physics Laboratory (JHUAPL), where I have been developing computational electromagnetics simulations as a software engineer. In 2022, I completed a Master's degree in Applied and Computational Mathematics from Johns Hopkins University. At JHUAPL, I currently serve as the supervisor for the Scientific Computing and Software Engineering section, in addition to leading development efforts on electromagnetic simulation tools. I enjoy bridging the gap between theory and practical applications, especially in areas where physics, algorithms, and software intersect.
Research Interests
My research interests lie at the intersection of Scientific Computing, GPU programming, Machine Learning, and Parallel Computing. I am particularly fascinated by how we can efficiently model physical systems to enable the next generation of engineering applications. Currently, I'm exploring ways to combine these areas through Scientific Machine Learning—either by developing differentiable simulation frameworks or by applying machine learning techniques to classical physics modeling challenges.
Works in Progress
- Coming Soon
Publications
- Samuel Audia, Soheil Feizi, Matthias Zwicker, Dinesh Manocha; How Learnable Grids Recover Fine Detail in Low Dimensions: A Neural Tangent Kernel Analysis of Multigrid Parametric Encodings; 2025 ICLR Conference https://arxiv.org/pdf/2504.13412
- Archit Kambhamettu, Samantha Snyder, Maliheh Fakhar, Samuel Audia, Ross Miller, Jae Kun Shim, Aniket Bera; VidSole: A Multimodal Dataset for Joint Kinetics Quantification and Disease Detection with Deep Learning; 2025 AAAI Conference https://arxiv.org/pdf/2501.17890
- Aayush R. Sharma, Greta K. Kintzley, Rachel K. Hartig, Samuel Audia, Matthew Landes, Benjamin Estacio Hypervelocity Impact Properties of Polyimide Aerogels for Space Debris Shielding and Capture; IEEE Conference on Aerospace https://ieeexplore.ieee.org/document/10521073
- Ruichen Wang, Samuel Audia, Dinesh Manocha; Indoor Wireless Signal Modeling with Smooth Surface Diffraction Effects; 2024 EuCap Conference https://arxiv.org/pdf/2310.10578.pdf