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Evan Bell

Program Year:
1
University:
Johns Hopkins University
Field of Study:
Machine Learning and Computational Imaging
Advisor:
Yu Sun
Degree(s):
B.S. Mathematics, and B.S. Physics, Michigan State University, 2024
Personal URL:
www.evanbell.me

Summary of Research

My research focuses on using machine learning for solving inverse problems in imaging and physics. I am particularly interested in unsupervised learning and generative modeling for scientific and medical imaging. I want to apply these tools and techniques in realistic scenarios, where training data is often highly limited or nonexistent. I believe that developing improved computational methods for this challenging problem setting may ultimately enable new scientific discoveries.

Publications

* indicates equal contribution.

1. I.R. Alkhouri*, E. Bell*, A. Ghosh*, S. Liang, R. Wang, and S. Ravishankar, "Understanding Untrained Deep Models for Inverse Problems: Algorithms and Theory," 2025. https://doi.org/10.48550/arXiv.2502.18612. In submission to IEEE Signal Processing Magazine.

2. D. Serino, E. Bell, M. Klasky, B.S. Southworth, B. Nadiga, T. Wilcox, and O. Korobkin, "Learning Physical Unknowns from Hydrodynamic Shock and Material Interface Features in ICF Capsule Implosions," 2024. https://doi.org/10.48550/arXiv.2412.20192. In submission to Scientific Reports.

3. S. Liang*, E. Bell*, A. Ghosh, and S. Ravishankar, "Pruning Unrolled Networks (PUN) at Initialization for MRI Reconstruction Improves Generalization," to appear in Proc. of the 58th Asilomar Conference on Signals, Systems, and Computers, 2024. Preprint available: https://doi.org/10.48550/arXiv.2412.18668.

4. I.R. Alkhouri*, S. Liang*, E. Bell, R. Wang, Q. Qu, and S. Ravishankar, "Image Reconstruction Via Autoencoding Sequential Deep Image Prior," The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024. https://openreview.net/forum?id=K1EG2ABzNE.

5. S. Liang*, E. Bell*, Q. Qu, R. Wang and S. Ravishankar, "Analysis of Deep Image Prior and Exploiting Self-Guidance for Image Reconstruction," in IEEE Transactions on Computational Imaging, vol. 11, pp. 435-451, 2025, doi: 10.1109/TCI.2025.3540706.

6. E. Bell, M.T. McCann, and M. Klasky, "Supervised Reconstruction for Silhouette Tomography," Electronic Imaging, 2024. https://doi.org/10.2352/EI.2024.36.5.MLSI-298.

7. E. Bell*, S. Liang*, Q. Qu and S. Ravishankar, "Robust Self-Guided Deep Image Prior," IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023. https://doi.org/10.1109/ICASSP49357.2023.10096631.

Awards

- Michigan State University Alumni Distinguished Scholar, 08/2020 - 05/2024

- Michigan State University Board of Trustees Award, 05/2024

- Dr. Paul and Wilma Dressel Endowed Scholarship, 04/2022 & 04/2024

- Best Presentation Award, LANL Theoretical Division Student Symposium, 08/2023

- Dr. Marshall and Barbara Hestenes Endowed Scholarship, 04/2023

- R.E. Phillips Memorial Scholarship, 04/2021