Pradeep Kumar

Pradeep Kumar is an Assistant Professor at the Department of Computer Science, William & Mary. He leads the Data Lab, focusing on data science systems, distributed computing, and graph analytics. His research bridges hardware-aware system design and large-scale data processing. Previously, he worked at IBM Research, NetApp, and Huawei.

Education

• B.Tech., Indian Institute of Technology, Dhanbad (2007)
• Ph.D., George Washington University (2019)

Research

His work emphasizes scalable systems for graph processing, storage optimization, and deep learning. Key projects include:

• GraphOne: Real-time analytics on evolving graphs
• Deep-CodeGen: Systems education platform for DL frameworks
• HalfGNN: Precision reduction for GNN training

Publications

Recent work spans top venues like Usenix ATC, HPDC, and FAST, with a focus on graph systems, storage, and deep learning infrastructure.

Awards

• NSF CRII Award (2023)
• IEEE Graph Challenge Finalist (2017)

Teaching

Current courses include Systems for Deep Learning and Big Data Systems.