Minh N Do

Minh N. Do is the Thomas and Margaret Huang Endowed Professor in Signal Processing & Data Science at the University of Illinois at Urbana-Champaign (UIUC), affiliated with the Department of Electrical and Computer Engineering, Coordinated Science Laboratory, and Beckman Institute. With a Dr.Sci. from EPFL (2001) and B.Eng. from the University of Canberra (1997), he has held faculty roles since 2002, advancing to Full Professor in 2014. His research spans computational imaging, signal processing, and AI applications in healthcare and data science.

Education:

• B.Eng., Computer Engineering, University of Canberra, Australia (1997)
• Dr.Sci., Communication Systems, Swiss Federal Institute of Technology Lausanne (EPFL), Switzerland (2001)

Research Interests:

Focuses on smart health technologies, data-driven signal processing, and computational imaging. Key areas include medical imaging advancements, AI-driven diagnostics, and multimodal fusion for healthcare analytics. His work bridges theory and practical applications, such as smartphone-based medical tools and quantitative ultrasound techniques.

Publications:

Recent works emphasize AI-driven medical diagnostics, federated learning for edge computing, and geometric representations in imaging. Themes include cross-modal adaptation, robust neural networks, and healthcare technology innovations.

Awards:

• IEEE Fellow (2014)
• NSF CAREER Award (2003)
• Young Author Best Paper Award (IEEE, 2008)
• UIUC Xerox Award (2007)

Teaching & Advising:

Has mentored over 50 graduate students, including notable advisees like Raymond Yeh (now at Purdue) and Mona Zehni (Apple). Teaches courses on signal processing, image processing, and data science (e.g., ECE 310, ECE 513).

Labs & Collaborations:

Leads the VinUni-Illinois Smart Health Center and collaborates with industry partners like Personify and Misfit. Active in tech transfer and startup roles (CTO, Chief Scientist).