Projects 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, Los Angeles
1 Sep 2020 → 1 Jul 2023
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Projects
- 1 Active
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Multiscale data geometric networks for learning representations and dynamics of biological systems
Bowden, R. R. (CoI), Saha, A. A. (CoI), Wolf, G. (CoPI), Krishnaswamy, S. (PI), Adelstein, I. (CoPI) & Perlmutter, M. (CoPI)
1/01/20 → 31/08/26
Project: Research
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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
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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
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DIRECTED SCATTERING FOR KNOWLEDGE GRAPH-BASED CELLULAR SIGNALING ANALYSIS
Venkat, A., Chew, J., Rodriguez, F. C., Tape, C. J., Perlmutter, M. & Krishnaswamy, S., 2024, 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2024 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 9761-9765 5 p. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
Geometric scattering on measure spaces
Chew, J., Hirn, M., Krishnaswamy, S., Needell, D., Perlmutter, M., Steach, H., Viswanath, S. & Wu, H. T., May 2024, In: Applied and Computational Harmonic Analysis. 70, 101635.Research output: Contribution to journal › Article › peer-review
Open Access -
Inferring Metabolic States from Single Cell Transcriptomic Data via Geometric Deep Learning
Steach, H. R., Viswanath, S., He, Y., Zhang, X., Ivanova, N., Hirn, M., Perlmutter, M. & Krishnaswamy, S., 2024, Research in Computational Molecular Biology - 28th Annual International Conference, RECOMB 2024, Proceedings. Ma, J. (ed.). Springer Science and Business Media Deutschland GmbH, p. 235-252 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14758 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review