Kamesh Madduri

Kamesh Madduri is an Associate Professor in the Department of Computer Science and Engineering at Pennsylvania State University, with affiliations to the Huck Institutes of the Life Sciences. His research focuses on graph analytics, parallel algorithms, and high-performance computing for large-scale data analysis.

• NSF CAREER Award (2013)

His work contributes to the development of scalable graph partitioning algorithms, extreme-scale sparse data analytics, and heterogeneous computing frameworks. Recent projects include multilayer network analysis (NetSplicer) and GPU-accelerated graph processing (Jet).

Key research areas include network science, computational biology, and distributed-memory graph algorithms. His publications highlight applications in genomic workflows, advertising keyphrase recommendation (Graphite/BroadGen), and large-scale hydrology data management.

• Collaborative Research: CCRI (2021-2023)
• SHF: Medium: NetSplicer (2020-2024)
• PPoSS: Extreme-scale Sparse Data Analytics (2018-2022)
• XPS: Genomic Workflows Acceleration (2014-2020)
• EAGER: SME Manufacturing Integration (2024-2026)