Paul Hand
Associate Professor, Interdisciplinary with College of Science
Research interests
- Theory and algorithms for machine learning and artificial intelligence
Education
- PhD in Mathematics, Courant Institute of Mathematical Sciences at New York University
- BS in Applied and Computational Mathematics, California Institute of Technology
Biography
Paul Hand is an assistant professor in the Khoury College of Computer Sciences and the College of Science at Northeastern University, based in Boston.
Hand's research focuses on theory and algorithms for machine learning and artificial intelligence in the context of vision and imaging. He received the Kurt O. Friedrichs Prize for his dissertation at NYU.
Prior to joining Northeastern, Hand served as an assistant professor of computational and applied mathematics at Rice University in Houston, as well as an instructor in applied mathematics at the Massachusetts Institute of Technology, where his research investigated the algorithms behind X-ray crystallography.
Recent publications
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The Joint Effect of Task Similarity and Overparameterization on Catastrophic Forgetting – An Analytical Model
Citation: Daniel Goldfarb, Itay Evron, Nir Weinberger, Daniel Soudry, Paul Hand. (2024). The Joint Effect of Task Similarity and Overparameterization on Catastrophic Forgetting - An Analytical Model CoRR, abs/2401.12617. https://doi.org/10.48550/arXiv.2401.12617 -
Guest Editorial
Citation: Paul Hand, Reinhard Heckel, Jonathan Scarlett. (2022). Guest Editorial IEEE J. Sel. Areas Inf. Theory, 3, 432. https://doi.org/10.1109/JSAIT.2023.3242517 -
Theoretical Perspectives on Deep Learning Methods in Inverse Problems
Citation: Jonathan Scarlett, Reinhard Heckel, Miguel R. D. Rodrigues, Paul Hand, Yonina C. Eldar. (2022). Theoretical Perspectives on Deep Learning Methods in Inverse Problems CoRR, abs/2206.14373. https://doi.org/10.48550/arXiv.2206.14373
