Ulugbek S. Kamilov
Leon and Elizabeth Janssen Associate Professor
Department of Electrical and Computer Engineering
Department of Computer Sciences (affiliate)
Department of Radiology (affiliate)
Data Science Institute (affiliate)

Leon and Elizabeth Janssen Associate Professor
Department of Electrical and Computer Engineering
Department of Computer Sciences (affiliate)
Department of Radiology (affiliate)
Data Science Institute (affiliate)
PhD Student, UW–Madison
PhD Student, UW–Madison
PhD Student, WashU
PhD Student, UW–Madison
PhD Student, WashU
PhD Student, WashU
PhD Student, UW–Madison
BS Student, UW–Madison
Deep Parameter Interpolation for MRI Reconstruction
Mentors: Chicago Park, Ulugbek S. Kamilov
BS Student, UW–Madison
Motion Correction in 3D Whole-Body MRI
Mentors: Chicago Park, Ulugbek S. Kamilov
BS Student, UW–Madison
Estimating Quantitative MRI using Diffusion Models
Mentors: Xiao Shi, Ulugbek S. Kamilov
BS Student, UW–Madison
Reconstructing MRI Images with Diffusion Models
Mentors: Xiao Shi, Ulugbek S. Kamilov
MS Student, UW–Madison
Generative Models as Priors for Ptychography
Mentors: Edward Chandler, Ulugbek S. Kamilov
PhD 2026
Now: Research Scientist, Google
Thesis: Inference-Time Scaling for Robust and Adaptive Computational Imaging
PhD 2024
Now: Research Scientist, Uber
Thesis: Learning-based Artifacts Removal Priors for Computational Imaging
PhD 2022
Now: Assistant Professor, Johns Hopkins University
Thesis: Integrating Physical Models and Deep Priors for Computational Imaging
| Name | Program | Term | Project | Mentor |
|---|---|---|---|---|
| Mikhail Chalakov | BS, UW-Madison | Spring 2026 | ODE and SDE-based Diffusion Models as Deblurrers | Ulugbek S. Kamilov |
| Saksham Mittal | BS, UW-Madison | Spring 2026 | Decoupled Noise Injection in PnP | Chicago Park, Ulugbek S. Kamilov |
| Eugene Joo | BS, WashU | Fall 2024 – Spring 2025 | Super-Resolution for Magnetic Resonance Imaging | Edward Chandler, Ulugbek S. Kamilov |
| Haoyu Zhang | MS, WashU | Spring 2024 – Spring 2025 | Learning-based MRI Reconstruction Method with Coil Sensitivity Estimation and Prior Adaptation | Weijie Gan, Ulugbek S. Kamilov |
| Naveen Asokan | MS, WashU | Spring 2024 – Spring 2025 | Adaptive Noise Estimation and Denoising with Deep Learning for NMR Spectroscopy | Shirin Shoushtari, Edward Chandler, Ulugbek S. Kamilov |
| Albert Peng | BS, WashU | Fall 2024 | Self-Supervised Learning for MRI | Yuyang Hu, Ulugbek S. Kamilov |
| Anqi Li | WashU | Fall 2024 | Posterior Sampling using Diffusion Models | Weijie Gan, Ulugbek S. Kamilov |
| Daedalus Chen | BS, WashU | Fall 2024 | Advanced Image Segmentation of Placenta | Yuyang Hu, Ulugbek S. Kamilov |
| David Chen | WashU | Fall 2024 | Generative AI for Art | Shirin Shoushtari, Ulugbek S. Kamilov |
| David Wang | BS, WashU | Spring 2024 – Fall 2024 | Diffusion Models for Medical Image Synthesis | Weijie Gan, Ulugbek S. Kamilov |
| Hanson Li | BS, WashU | Fall 2024 | Generative Models for Texture Synthesis | Edward Chandler, Ulugbek S. Kamilov |
| Harry Gao | BS, WashU | Spring 2022 – Fall 2024 | Generative Models for Computational Imaging | Weijie Gan, Ulugbek S. Kamilov |
| Jason Zhao | BS, WashU | Fall 2024 | Stabilizing Langevin Dynamics for Image Sampling | Chicago Park, Ulugbek S. Kamilov |
| Jianan Wu | WashU | Spring 2024 – Fall 2024 | Implicit Neural Representations for MRI | Ulugbek S. Kamilov |
| Kevin Kotzbauer | WashU | Fall 2024 | Robust Diffusion Inverse Solvers for Computational Imaging | Shirin Shoushtari, Ulugbek S. Kamilov |
| Kyle Wolford | WashU | Fall 2024 | Image Registration in Digital Mammography | Shirin Shoushtari, Ulugbek S. Kamilov |
| Rahul Chavali | BS, WashU | Fall 2024 | Advanced Spectral Unmixing for Hyperspectral Imaging | Edward Chandler, Ulugbek S. Kamilov |
| Yusheng Tan | WashU | Fall 2024 | Optimal Restoration Operators for Computational Imaging | Weijie Gan, Ulugbek S. Kamilov |
| Vincent Siu | BS, WashU | Spring 2023 – Spring 2024 | Deep Learning for Diagnosis of Post-Traumatic Elbow Disease | Weijie Gan, Ulugbek S. Kamilov |
| Chang (Jason) Ti | MS, WashU | Spring 2023 | Interactive Digit Recognition for ML Education | Flora Sun, Ulugbek S. Kamilov |
| Chaoye Jin | WashU | Fall 2022 – Spring 2023 | Breast Cancer Risk Assessment using Machine Learning | Shirin Shoushtari, Ulugbek S. Kamilov |
| Eddy Sul | WashU | Spring 2023 | Deep Learning for Digital Mammography | Shirin Shoushtari, Ulugbek S. Kamilov |
| Emma McMillian | WashU | Spring 2023 | Noise-Adaptive Deep Denoisers for Imaging | Yuyang Hu, Ulugbek S. Kamilov |
| Junyi Yao | WashU | Spring 2023 | Deep Learning for the Next-Generation Scientific Imaging | Shirin Shoushtari, Ulugbek S. Kamilov |
| Kerri Prinos | WashU | Spring 2023 | Deep Learning for 3D Quantitative Brain MRI | Yuyang Hu, Ulugbek S. Kamilov |
| Nan Huang | WashU | Fall 2022 – Spring 2023 | Continuous Regularizer for Inverse Problems | Weijie Gan, Ulugbek S. Kamilov |
| X. Yang | WashU | Spring 2023 | Detecting Multiple Myeloma using Deep Image Analysis | Flora Sun, Ulugbek S. Kamilov |
| Yubo Wang | WashU | Fall 2022 – Spring 2023 | Deep Learning for the Next-Generation Microscopy | Jiaming Liu, Ulugbek S. Kamilov |
| Z. Xiang | WashU | Spring 2023 | Machine Learning Biomarkers for Fetal Growth Restrictions | Yuyang Hu, Ulugbek S. Kamilov |
| Eddie Choi | BS, WashU | Fall 2022 | Deep Learning for Digital Mammography | Shirin Shoushtari, Ulugbek S. Kamilov |
| Henry Li | BS, WashU | Fall 2022 | Quantitative Brain MRI using Deep Learning | Yuyang Hu, Ulugbek S. Kamilov |
| Hugh James | MS, WashU | Fall 2021 – Fall 2022 | Investigating Applications of Deep Learning for Diagnosis of Post Traumatic Elbow Disease | Weijie Gan, Ulugbek S. Kamilov |
| Minghao Yu | MS, WashU | Fall 2022 | Deep Complex Neural Networks for Imaging | Weijie Gan, Ulugbek S. Kamilov |
| Yangruo Ma | MS, WashU | Fall 2022 | Image Restoration using Generative Models | Shirin Shoushtari, Ulugbek S. Kamilov |
| Zihao Zou | MS, WashU | Spring 2022 – Fall 2022 | Memory and Computationally Efficient Deep Learning | Jiaming Liu, Ulugbek S. Kamilov |
| Julia Zeng | BS, WashU | Spring 2022 | Memory-Efficient Deep Image Restoration | Xiaojian Xu, Ulugbek S. Kamilov |
| Xiangyu Chen | MS, WashU | Spring 2022 | Deep Learning for the Next-Generation Microscopy | Jiaming Liu, Ulugbek S. Kamilov |
| Yixuan Luo | MS, WashU | Fall 2021 – Spring 2022 | Deep Learning for Calf Muscle and Fat Measurement | Xiaojian Xu, Ulugbek S. Kamilov |
| Dian Jin | WashU | Fall 2021 | Learning Optimal Sampling Strategies for MRI | Weijie Gan, Ulugbek S. Kamilov |
| Hao Qin | MS, WashU | Fall 2021 | Asynchronous Plug-and-Play Priors with Theoretical Guarantees | Yu Sun, Ulugbek S. Kamilov |
| Jiwon Choi | BS, WashU | Fall 2021 | Regularization by Artifact Removal for PET | Weijie Gan, Ulugbek S. Kamilov |
| T. Lee | WashU | Fall 2021 | Deep Learning for Abdominal Visceral and Subcutaneous Fat Measurement | Xiaojian Xu, Ulugbek S. Kamilov |
| Wentao Shangguan | MS, WashU | Fall 2020 – Fall 2021 | NeVR: Learning Continuous Neural Video Representation with Local Feature Codes for Video Interpolation | Yu Sun, Ulugbek S. Kamilov |
| Xinhan Huang | MS, WashU | Fall 2021 | Implementing Optimization Algorithms in Jupyter Notebook | Ulugbek S. Kamilov |
| Yanpeng Yuan | BS, WashU | Spring 2021 – Fall 2021 | Deep Learning for Diagnosis of Post-Traumatic Elbow Disease | Weijie Gan, Ulugbek S. Kamilov |
| Renhao Liu | MS, WashU | Summer 2020 – Summer 2021 | Regularized Coordinate-based Neural Representation Learning for Optical Tomography | Yu Sun, Ulugbek S. Kamilov |
| Ann Zhou | BS, WashU | Spring 2021 | Tunable Deep Learning for Computational Imaging | Xiaojian Xu, Ulugbek S. Kamilov |
| Ziwen Wang | BS, WashU | Fall 2020 – Spring 2021 | Low-Complexity Learning for Large-Scale Imaging | Jiaming Liu, Yu Sun, Ulugbek S. Kamilov |
| Eric Tang | WashU | Fall 2019 – Fall 2020 | Motion-Artifact Correction in Quantitative MRI | Xiaojian Xu, Ulugbek S. Kamilov |
| Mingyang Xie | BS, WashU | Fall 2019 – Fall 2020 | Autocalibration for Regularization by Denoising | Yu Sun, Ulugbek S. Kamilov |
| Yukun Li | WashU | Spring 2020 – Fall 2020 | Cycle GAN for Quantitative MRI | Xiaojian Xu, Ulugbek S. Kamilov |
| Abdalla Bani | WashU | Spring 2020 | Design of GAN Priors for Iterative Algorithms | Jiaming Liu, Ulugbek S. Kamilov |
| Guangyu Meng | WashU | Spring 2020 | End-to-End Training of VAE-GAN Priors | Jiaming Liu, Ulugbek S. Kamilov |
| Rob Schurz | WashU | Spring 2020 | Proximal Optimization for Computerized Tomography | Jiaming Liu, Ulugbek S. Kamilov |
| Yongcheng Song | WashU | Spring 2020 | Fast Automatic Focal Plane Selection for Brightfield Microscopy using Machine Learning | Xiaojian Xu, Ulugbek S. Kamilov |
| Zihui Wu | BS, WashU | Fall 2018 – Spring 2020 | Stochastic Algorithms using Deep Priors | Yu Sun, Ulugbek S. Kamilov |
| Max Torop | MS, WashU | Fall 2019 | Computational Methods for Quantitative Brain MR Imaging | Yu Sun, Ulugbek S. Kamilov |
| Nina Woythaler | BS, WashU | Fall 2019 | Motion Artifact Reduction in Quantitative Brain MRI | Xiaojian Xu, Ulugbek S. Kamilov |
| Ryogo Suzuki | MS, WashU | Fall 2019 | Generative Adversarial Networks for Image Restoration | Xiaojian Xu, Ulugbek S. Kamilov |
| Y. Jia | WashU | Fall 2019 | Large-Scale Optimization for Computational Imaging | Ulugbek S. Kamilov |
| Yiran Sun | MS, WashU | Fall 2019 | Asynchronous Large-Scale Optimization for Imaging | Yu Sun, Ulugbek S. Kamilov |
| Shiqi Xu | MS, WashU | Spring 2018 – Spring 2019 | Regularized Fourier Ptychographic Microscopy | Ulugbek S. Kamilov |
| Fa Long | MS, WashU | Fall 2018 | Convolutional Dictionary Learning for Image Reconstruction | Xiaojian Xu, Ulugbek S. Kamilov |
| Fangying Zhai | MS, WashU | Fall 2018 | Image Restoration with GANs | Yu Sun, Ulugbek S. Kamilov |
| Hanrui Zou | MS, WashU | Fall 2018 | Unsupervised Deep Image Learning | Yu Sun, Ulugbek S. Kamilov |
| Jerry Xing | MS, WashU | Fall 2018 | Learning for MRI | Xiaojian Xu, Ulugbek S. Kamilov |
| Melena Abijaoude | MS, WashU | Fall 2018 | Distributed Algorithms for Nonconvex Stochastic Optimization | Ulugbek S. Kamilov |
| Name | Type | Affiliation | Year |
|---|---|---|---|
| Anthony Wang | Visiting Student | MIT, USA | 2023 |
| Marien Renaud | Visiting Student | École Polytechnique, France | 2023 |
| Olivier Leblanc | Visiting PhD Student | UCLouvain, Belgium | 2023 |
| Paul Goyes | Visiting PhD Student | Universidad Industrial de Santander, Colombia | 2023 |
| Yu-Chieh Yu | Visiting Student | National Taiwan University, Taiwan | 2023 |
| Anis Chihoub | Visiting Student | Rutgers University, USA | 2022 |
| Hee Yun Suh | Visiting Student | Johns Hopkins University, USA | 2022 |
| Tomáš Kerepecký | Visiting PhD Student | Czech Technical University in Prague, Czech Republic | 2021–2022 |
| Guangxiao Song | Visiting PhD Student | Donghua University, China | 2018–2020 |
| Ishika Jain | Visiting Student | Cornell University, USA | 2019 |
| Moran Xu | Visiting Student | Southeast University, China | 2019 |
| Tram-Anh Nguyen | Visiting Student | George Mason University, USA | 2019 |
| Yukun Huang | Visiting Student | Tsinghua University, China | 2019 |
| Jhoan Hernandez | Visiting Student | Benedict College, USA | 2018 |
| Sergio Goodwin | Visiting Student | Morehouse College, USA | 2018 |