Kamesh Madduri
Associate Professor of Computer Science and Engineering

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W312 Westgate
University Park, PA - He/Him
- kxm85@psu.edu
- 814-865-0883
Research Summary
Computational biology, algorithms, and high-performance computing.
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Data Storage Equipment Parallel Algorithms Graph In Graph Theory Counting Labels Graphics Processing Unit Decomposition Subgraph Proteins Data Structures Dynamic Programming Communication Servers Enumeration Color Learning Systems Breadth First Search Coarsening Connected Components Time Series Analysis Complex Networks Water Coloring Travel Time Network AnalysisMost Recent Publications
Developing a deep learning pipeline to infer outcomes from whole slide images (WSI) and genomic data for diffuse large B cell lymphoma
C Zhou, J Xu, C Torres-Cabala, G Agasthya, C-B Chen, R Prakash, T Kantheti, S Tirupatikumara, Kamesh Madduri, S Iyer, 2022,
Partitioning trillion-edge graphs
George M. Slota, Karen Devine, Kamesh Madduri, Sivasankaran Rajamanickam, 2022, on p. 223-240
Multicore algorithms for graph connectivity problems
George M. Slota, Sivasankaran Rajamanickam, Kamesh Madduri, 2022, on p. 63-84
Classifying E-Commerce Product Listings using Word Co-Occurrence Graphs
Ashirbad Mishra, Shad Kirmani, Kamesh Madduri, 2021, on p. 6
Performance-portable graph coarsening for efficient multilevel graph analysis
Michael Gilbert, Seher Acer, Erik Boman, Kamesh Madduri, Sivasankaran Rajamanickam, 2021, on p. 213-222
Performance-portable graph coarsening for efficient multilevel graph analysis
Michael S. Gilbert, Seher Acer, Erik G. Boman, Kamesh Madduri, Sivasankaran Rajamanickam, 2021, on p. 213-222
GPU-Accelerated Flexible Molecular Docking
Mengran Fan, Jian Wang, Huaipan Jiang, Yilin Feng, Mehrdad Mahdavi, Kamesh Madduri, Mahmut T. Kandemir, Nikolay V. Dokholyan, 2021, Journal of Physical Chemistry B on p. 1049-1060
Scalable, Multi-Constraint, Complex-Objective Graph Partitioning
George M. Slota, Cameron Root, Karen Devine, Kamesh Madduri, Sivasankaran Rajamanickam, 2020, IEEE Transactions on Parallel and Distributed Systems on p. 2789-2801
Fast Spectral Graph Layout on Multicore Platforms
Ashirbad Mishra, Shad Kirmani, Kamesh Madduri, 2020,
Fast Spectral Graph Layout on Multicore Platforms
Ashirbad Mishra, Shad Kirmani, Kamesh Madduri, 2020, on p. 11
Most-Cited Papers
BFS and coloring-based parallel algorithms for strongly connected components and related problems
George M. Slota, Sivasankaran Rajamanickam, Kamesh Madduri, 2014, on p. 550-559
Partitioning Trillion-Edge Graphs in Minutes
George M. Slota, Sivasankaran Rajamanickam, Karen Devine, Kamesh Madduri, 2017, on p. 646-655
PuLP: Scalable multi-objective multi-constraint partitioning for small-world networks
George M. Slota, Kamesh Madduri, Sivasankaran Rajamanickam, 2015, on p. 481-490
Fast approximate subgraph counting and enumeration
George M. Slota, Kamesh Madduri, 2013, on p. 210-219
Consensus ensemble system for traffic flow prediction
Hongyuan Zhan, Gabriel Gomes, Xiaoye S. Li, Kamesh Madduri, Alex Sim, Kesheng Wu, 2018, IEEE Transactions on Intelligent Transportation Systems on p. 3903-3914
Parallel k-Core decomposition on multicore platforms
Humayun Kabir, Kamesh Madduri, 2017, on p. 1482-1491
A Case Study of Complex Graph Analysis in Distributed Memory: Implementation and Optimization
George M. Slota, Sivasankaran Rajamanickam, Kamesh Madduri, 2016, on p. 293-302
Parallel k-truss decomposition on multicore systems
Humayun Kabir, Kamesh Madduri, 2017,
Complex network analysis using parallel approximate motif counting
George M. Slota, Kamesh Madduri, 2014, on p. 405-414
Simple parallel biconnectivity algorithms for multicore platforms
George M. Slota, Kamesh Madduri, 2014,