Michael Perlmutter

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Michael Perlmutter

 https://orcid.org/0000-0001-9829-4016
    20142026

    Research activity per year

    Personal profile

    About

    Dr. Michael A. Perlmutter joined Boise State University in 2023, and is currently an assistant professor in the Department of Mathematics. He earned a Ph.D. in mathematics, and a M.S. in mathematics with a concentration in in computational science and engineering, from Purdue University. He earned his B.S. in mathematics from Tufts University. Dr. Perlmutter’s research is focused on the Mathematics of Data Science and Applied Harmonic Analysis; more specifically, his two primary areas of recent research have been Geometric Learning (developing, analyzing, and applying deep learning methods for graph- and manifold-structured data) and Phase Retrieval (with a focus on problems arising in ptychographic imaging). Additionally, he has worked on problems related to applied probability, audio denoising, data-set benchmarking,  and tensor compression.

    External positions

    Assistant Adjunct Professor, University of California at Los Angeles

    1 Sep 2020 → 1 Jul 2023

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    • Predictive Understanding of Wildfire Ignitions Across the Western United States

      Pourmohamad, Y., Abatzoglou, J. T., Fleishman, E., Belval, E., Short, K. C., Williamson, M., Perlmutter, M., Seydi, S. T. & Sadegh, M., Jan 2026, In: Earth's Future. 14, 1, e2025EF006935.

      Research output: Contribution to journal › Article › peer-review

      Open Access

    • Hyperedge Representations with Hypergraph Wavelets: Applications to Spatial Transcriptomics

      Sun, X., Xu, C., Rocha, J. F., Liu, C., Hollander-Bodie, B., Goldman, L., DiStasio, M., Perlmutter, M. & Krishnaswamy, S., 2025, In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings.

      Research output: Contribution to journal › Conference article › peer-review

      Open Access
      2 Scopus citations

    • Manifold filter-combine networks

      Johnson, D. R., Chew, J. A., Viswanath, S., Brouwer, E. D., Needell, D., Krishnaswamy, S. & Perlmutter, M., Dec 2025, In: Sampling Theory, Signal Processing, and Data Analysis. 23, 2, 17.

      Research output: Contribution to journal › Article › peer-review

      Open Access

    • Bayesian Spectral Graph Denoising with Smoothness Prior

      Leone, S., Sun, X., Perlmutter, M. & Krishnaswamy, S., 2024, 2024 58th Annual Conference on Information Sciences and Systems, CISS 2024. Institute of Electrical and Electronics Engineers Inc., (2024 58th Annual Conference on Information Sciences and Systems, CISS 2024).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      1 Scopus citations

    • BLIS-Net: Classifying and Analyzing Signals on Graphs

      Xu, C., Goldman, L., Guo, V., Hollander-Bodie, B., Trank-Greene, M., Adelstein, I., De Brouwer, E., Ying, R., Krishnaswamy, S. & Perlmutter, M., 2024, In: Proceedings of Machine Learning Research. 238, p. 4537-4545 9 p.

      Research output: Contribution to journal › Conference article › peer-review

      1 Scopus citations
    View all 38 Research outputs