Ulugbek Kamilov

Ulugbek Kamilov is an Associate Professor in the departments of Electrical & Systems Engineering and Computer Science & Engineering at Washington University in St. Louis. His research focuses on computational imaging, computer vision, and machine learning, with applications in biomedical and scientific domains such as MRI, CT, microscopy, and remote sensing. He holds a PhD, MSc, and BSc from École Polytechnique Fédérale de Lausanne (EPFL), Switzerland, and has held visiting roles at MIT, Stanford, and Carnegie Mellon University.

**Education:**

• PhD in Electrical Engineering, EPFL, 2015
• MSc in Electrical Engineering, EPFL
• BSc in Electrical Engineering, EPFL

**Research Interests:**

Professor Kamilov develops algorithms and mathematical frameworks for imaging technologies, emphasizing optimization and machine learning. His work bridges theory and practice, addressing challenges in biomedical imaging (e.g., MRI reconstruction) and computational photography. He is a Senior Member of the IEEE Signal Processing Magazine editorial board and contributes to the Bio Imaging and Signal Processing Technical Committee.

**Awards & Recognition:**

• NSF CAREER Award
• IEEE Signal Processing Society’s 2017 Best Paper Award
• 2024 Pierre-Simon Laplace Early Career Technical Achievement Award
• Scialog Fellow (2021)

**Grants & Funding:**

• Recipient of a $20,000 Google gift to develop Generative AI technology (2024)

**Affiliations:**

He is affiliated with the Imaging Science PhD Program at WashU and maintains an active lab focused on cutting-edge imaging research.