Weimin Zhou

Assistant Professor of Optical Sciences
Weimin Zhou

Meinel 429
Wyant College of Optical Sciences
The University of Arizona
1630 E. University Blvd.
P.O. Box 210094
Tucson, AZ 85721-0094

Employment

  • University of Arizona: Wyant College of Optical Sciences, Assistant Professor, 2025 - present
  • University of Arizona: Department of Medical Imaging, Assistant Professor, 2025 - present
  • Shanghai Jiao Tong University: Global Institute of Future Technology, Assistant Professor, 2022 - 2024
  • University of California, Santa BarbaraDepartment of Psychological & Brain Sciences, Postdoctoral Scholar, 2020 - 2022

Professional Affiliations and Activities

  • Editorial Board, Discover Imaging
  • Member, Institute of Electrical and Electronics Engineers (IEEE)
  • Member, IEEE Technology and Engineering Management Society (IEEE TEMS)
  • Early Career Professional Member, The International Society for Optics and Photonics (SPIE)
  • Program Committee, SPIE Medical Imaging: Image Perception, Observer Performance, and Technology Assessment
  • Area Chair, The Conference on Health, Inference, and Learning (CHIL)
  • Area Chair, Machine Learning for Health (ML4H)

Awards and Honors

  • SPIE Community Champion, The International Society for Optics and Photonics, 2020
  • Cum Laude Award, SPIE Medical Imaging, 2018

Research Summary

Prof. Zhou directs the Computational Imaging and Visual Intelligence Laboratory (CIVIL), which explores the principles of image science, investigates artificial intelligence/machine learning (AI/ML) methods, and employs a wide range of computational tools and eye-tracking technologies to address challenges in imaging and vision. The CIVIL is dedicated to facilitating the ways by which image quality can be assessed and optimized and enhancing the understanding of how humans and machines interpret medical images to support radiological decision-making. Current research projects in the CIVIL include deep generative models for medical image synthesis, AI/ML-enabled observer design for objective assessment of image quality, visual search in medical images, and task-based algorithms for image reconstruction, processing, and enhancement. 

Degree(s)

  • Ph.D., electrical engineering, Washington University in St. Louis, 2020