Expertise

His interdisciplinary research group strives to solve large-scale problems in genomics, neuroscience, scientific computing, and quantum computing.

Research Areas:

  • Engineering Health
  • Health@Luddy - Crosscutting
  • Data Science
  • Intelligent Systems
  • Data analytics for Graphs
  • Systems for Big Data Analytics
  • Computer Engineering

My research focuses on parallel graph and sparse matrix algorithms, high performance computing, and their applications in scientific computing and bioinformatics.

His research interests include parallel graph algorithms, high performance computing, combinatorial scientific computing and bioinformatics.

Current Projects:

  • EDGAR: Energy-efficient Data and Graph Algorithms Research
  • ExaBiome: Exascale Solutions for Microbiome Analysis
  • Parallel Combinatorial Algorithms
  • PGAS Graph Analysis Library.
Affiliations

Research Scientist, Performance and Algorithms Research Group, Computer Science Department, Applied Mathematics and Computational Research Division, Computing Sciences Area, Lawrence Berkeley National Laboratory, U.S. Department of Energy

Assistant Professor, Department of Intelligent Systems Engineering, Luddy School of Informatics, Computing, and Engineering, Indiana University Bloomington

Past Affiliations

Postdoctoral Research Fellow, Performance and Algorithms Research, Computer Science Department, Applied Mathematics and Computational Research Division, Computing Sciences Area, Lawrence Berkeley National Laboratory, U.S. Department of Energy (past)

Degrees
PhD, Purdue University, Computer Science, 2014
BS, Bangladesh University of Engineering and Technology, Bangladesh, Computer Scinece and Engineering, 2006