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Ulugbek Kamilov

Ulugbek Kamilov

Leon and Elizabeth Janssen Associate Professor

Ulugbek Kamilov is the Leon and Elizabeth Janssen Associate Professor of Electrical and Computer Engineering at the University of Wisconsin–Madison, where he founded and leads the Computational Imaging Group (CIG). Prior to joining UW–Madison, he was the Donald L. Snyder Associate Professor of Electrical and Systems Engineering and Computer Science and Engineering at WashU. He received his BSc/MSc in Communication Systems (2011) and PhD in Electrical Engineering (2015) from EPFL, Switzerland. His other prior appointments include Visiting Professor at the École Normale Supérieure in Paris (2024), Visiting Faculty Researcher at Google (2023–2024), and Research Scientist at Mitsubishi Electric Research Laboratories (MERL) (2015–2017).

He is a recipient of the IEEE Signal Processing Society’s 2024 Pierre-Simon Laplace Early Career Technical Achievement Award, the 2017 Best Paper Award, and the NSF CAREER Award. He was named a Scialog Fellow for Advancing Bioimaging in 2021 and was a finalist for the EPFL Doctorate Award in 2016. In 2023, he received the Outstanding Teaching Award from WashU’s Department of Electrical & Systems Engineering. He currently serves on the IEEE Signal Processing Society’s Bioimaging and Signal Processing Technical Committee and has previously served as a Senior Editorial Board Member of IEEE Signal Processing Magazine, Associate Editor of IEEE Transactions on Computational Imaging, and member of the Computational Imaging Technical Committee.

Department

Electrical & Computer Engineering

Contact

p: (608) 265-8657

  • PhD 2015, École Polytechnique Fédérale de Lausanne (EPFL)
  • BS 2010, École Polytechnique Fédérale de Lausanne (EPFL)
  • MS 2010, École Polytechnique Fédérale de Lausanne (EPFL)

  • Computational imaging
  • Biomedical imaging
  • Machine learning
  • Optimization and statistics
  • Signal and information processing

  • 2025 WashU, Donald L. Snyder Career Development Professorship
  • 2024 IEEE Signal Processing Society, Pierre-Simon Laplace Early Career Technical Achievement
  • 2023 Washington University in St. Louis (WashU), Electrical and Systems Engineering (ESE) Department, Outstanding Teaching Award
  • 2021 NSF, CAREER Award
  • 2021 Scialog Initiative on “Advancing Biomaging”, Fellow
  • 2017 IEEE Signal Processing Society, Best Paper Award
  • 2017 IEEE ICASSP, Student Paper Award finalist
  • 2016 EPFL, Doctorate Award finalist

  • Gao, H., Gan, W., Hu, Y., An, H., & Kamilov, U. (2025). A Self-Supervised Diffusion Bridge for MRI Reconstruction. In 2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI) (p. 1-4).
  • Yismaw, N., Kamilov, U., & Asif, M. S. (2025). Covariance-Corrected Diffusion Models for Solving Inverse Problems. In 2025 IEEE Statistical Signal Processing Workshop (SSP) (p. 26-30).
  • Goyes-Peñafiel, P., Arguello, H., & Kamilov, U. (2025). Enhancing Seismic Post-stack Reconstruction with Diffusion Models: Addressing Uncertainty and Structural Complexity. In 2025 IEEE Statistical Signal Processing Workshop (SSP) (p. 86-90).
  • Terris, M., Kamilov, U., & Moreau, T. (2025). FiRe: Fixed-points of restoration priors for solving inverse problems. In Proceedings of the Computer Vision and Pattern Recognition Conference (p. 23185-23194).
  • Zou, Z., Liu, J., Shoushtari, S., Wang, Y., & Kamilov, U. (2025). Flair: A conditional diffusion framework with applications to face video restoration. In 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (p. 5228-5238).
  • Park, C. Y., Hu, Y., McCann, M. T., Garcia-Cardona, C., Wohlberg, B., & Kamilov, U. (2025). Plug-and-play priors as a score-based method. In 2025 IEEE International Conference on Image Processing (ICIP) (p. 49-54).
  • Zhao, S., Chibani, L., Chandler, E., Hu, J., Valzania, L., Kamilov, U., & de Aguiar, H. B. (2025). Single-pixel field-resolved coherent anti-Stokes Raman scattering with three-color excitation. In Advanced Chemical Microscopy for Life Science and Translational Medicine 2025 (p. PC133321F).
  • Xie, H., Gan, W., Ji, W., Chen, X., Alashi, A., Thorn, S. L., Zhou, B., Liu, Q., Xia, M., Guo, X., Liu, Y., An, H., Kamilov, U., Wang, G., Sinusas, A. J., & Liu, C. (2025). A generalizable diffusion framework for 3D low-dose and few-view cardiac SPECT imaging. Medical Image Analysis, 103729.
  • Sun, Z., Godbe, J. M., Zheleznyak, A., Manion, B., Hu, J., Prior, J. L., Duncan, K., Kamilov, U., & Shokeen, M. (2025). Advanced quantification pipeline reveals new spatial and temporal tumor characteristics in preclinical multiple myeloma. EJNMMI research, 15, 95.
  • Chandler, E. P., Shoushtari, S., Wohlberg, B., & Kamilov, U. (2025). Analysis Plug-and-Play Methods for Imaging Inverse Problems. arXiv preprint arXiv:2509.15422.