Contributor

Sudharshan is a Ph.D. candidate in Computer Science at the University of Oregon, working under the guidance of Professors Boyana Norris and Allen Malony. As a member of the High-Performance Computing Laboratory (HPCL), his research focuses on advancing scalable solutions at the intersection of parallel algorithms, machine learning systems, and large-scale graph analytics. His work explores the design and implementation of asynchronous processing techniques for distributed graph neural networks, as well as optimization of multi-agent reinforcement learning architectures using graph-based representations. He collaborates closely with national laboratories on high-performance computing infrastructure and is committed to building efficient, interpretable systems for real-world scientific workloads.