Minh Do specializes in imaging research and has studied different types of cancer, including using quantitative phase imaging software and machine learning algorithms to accurately and automatically diagnose tissue biopsies of prostate specimens. Additionally, he combined imaging and genomic features to develop a radiogenomics risk signature, offering valuable information about the aggressiveness of the newly diagnosed lung cancer. Furthermore, this project takes advantage of and extends the OSF lung cancer screening program by establishing IRB-approved imaging and pathology repositories. His primary research goal is to develop multidimensional tools to capture geometrical structures that typically are the dominant feature in images and multidimensional data.
Minh Do, PhD, received his B.Eng. degree in Computer Engineering from the University of Cranberra, Australia in 1997. He received his Doctor of Science in Communication Systems from the Swiss Federal Institute of Technology Lausanne in Switzerland in 2001. He is currently a Professor of Electrical Engineering, Computer Science, and Bioengineering at the University of Illinois Urbana-Champaign. He is also a Professor of the Coordinated Science Lab, the Beckman Institute for Advanced Science and Technology, and a mentor for the CCIL’s TiMe Program.