Research
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.
Education
- Sc.D., Communication Systems, Swiss Federal Institute of Technology Lausanne, 2001
Campus Affiliations
- Thomas and Margaret Huang Endowed Professor, Electrical and Computer Engineering
- Professor, Electrical and Computer Engineering
- Director, VinUni-Illinois Smart Health Center, Grainger College of Engineering
- Professor, Siebel School of Computing and Data Science
- Professor, Bioengineering
- Professor, Coordinated Science Lab
- Professor, Biomedical and Translational Sciences
- Professor, Beckman Institute for Advanced Science and Technology
- Affiliate, Carl R. Woese Institute for Genomic Biology
Select Honors and Recognitions
- NSF CAREER Award, 2003
- IEEE Fellow, 2014