• Associate Professor, Computer Science & Engineering
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Educational Background

  • Ph.D., Computer Science, Purdue University – 2014
  • B.S., Computer Science and Engineering, Bangladesh University of Engineering and Technology – 2006

Research Interests

    • High-performance computing
    • Graph algorithms
    • Graph machine learning
    • Bioinformatics 

Awards & Honors

  • CAREER Award, National Science Foundation (NSF) – 2024
  • Trustee's Teaching Award, Indiana University – 2024
  • Early Career Award, U.S. Department of Energy (DOE) – 2021

Selected Publications

  • A. Azad, et al.. "GNNShap: Scalable and Accurate GNN Explanation using Shapley Values." Proceedings of the ACM on Web Conference 2024, pp. 827-838
  • A. Azad, et al. "Unraveling the functional dark matter through global metagenomics." Nature 622, no. 7983: pp. 594-602, 2023
  • A. Azad, et al. "Combinatorial BLAS 2.0: Scaling combinatorial algorithms on distributed-memory systems." IEEE Transactions on Parallel and Distributed Systems 33, no. 4: pp. 989-1001, 2021
  • A. Azad, et al. "FusedMM: A unified SDDMM-SpMMkernel for graph embedding and graph neural networks." IEEE International Parallel and Distributed Processing Symposium (IPDPS), pp. 256-266. IEEE, 2021
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