Minh N Do

Minh N Do
Minh N Do
Professor of Electrical and Computer Engineering
(217) 244-4782
113 Coordinated Science Lab

For More Information

Education

  • Doctor of Science in Communication Systems, Swiss Federal Institute of Technology Lausanne (EPFL), Switzerland, 2001.

Biography

Minh N. Do received the B.Eng. degree in Computer Engineering from the University of Canberra, Australia, in 1997, and the Dr.Sci. degree in Communication Systems from the Swiss Federal Institute of Technology Lausanne (EPFL) in 2001. Since 2002, he has been on the faculty at the University of Illinois at Urbana-Champaign, where he is currently the Thomas and Margaret Huang Endowed Professor in Signal Processing & Data Science in the Department of Electrical and Computer Engineering, and holds affiliate appointments with the Coordinated Science Laboratory, the Beckman Institute for Advanced Science and Technology, the Department of Bioengineering, and the Department of Computer Science. He received a Silver Medal from the 32nd International Mathematical Olympiad in 1991, University Medal from the University of Canberra in 1997, Doctorate Award from the EPFL in 2001, CAREER Award from the National Science Foundation in 2003, Xerox Award for Faculty Research from UIUC in 2007, and Young Author Best Paper Award from IEEE in 2008. He was an Associate Editor of the IEEE Transactions on Image Processing, and a member of several IEEE Technical Committees on Signal Processing. He was elected as an IEEE Fellow in 2014 for his contributions to image representation and computational imaging. He has contributed to several tech-transfer efforts, including as a co-founder and CTO of Personify and Chief Scientist of Misfit. During 2020-2021 he served as the Vice-Provost, and then continues as Honorary Vice-Provost, for VinUniversity, the first private, not-for-profit Vietnamese university established based on international standards. He also serves as the Director of the joint VinUni-Illinois Smart Health Center.

Academic Positions

  • Faculty member (full-time), Coordinated Science Laboratory, University of Illinois at Urbana-Champaign, 2002 - present.
  • Faculty member (part-time), Beckman Institute, University of Illinois at Urbana-Champaign, 2002 - present.
  • Affiliate Professor, College of Medicine, University of Illinois at Urbana-Champaign, 2022 - present.
  • Affiliate Professor, Department of Computer Science, University of Illinois at Urbana-Champaign, 2017 - present.
  • Affiliate Professor, Department of Bioengineering, University of Illinois at Urbana-Champaign, 2009 - present.
  • Professor, Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, 2014 - present.
  • Associate Professor, Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, 2008 - 2014.
  • Assistant Professor, Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, 2002 - 2008.

Documents

Resident Instruction

  • ECE 310/311 Digital Signal Processing (and Lab): Spring 2012, Spring 2016, Spring 2018, Spring 2019, Fall 2022, Fall 2023
  • ECE 313 Probability with Engineering Applications: Fall 2019, Spring 2023
  • ECE 365 Data Science and Engineering: Fall 2018
  • ECE 398BD Making Sense of Big Data: Spring 2014, Fall 2014, Spring 2016, Spring 2017
  • ECE 410 Digital Signal Processing: Spring 2002, Fall 2003, Spring 2005, Spring 2007
  • ECE 418 Introduction to Image and Video Processing: Spring 2014, Spring 2015
  • ECE 420 Embedded Digital Signal Processing Lab: Spring 2013, Fall 2013, Spring 2015, Spring 2017
  • ECE 551 Digital Signal Processing II: Fall 2005, Fall 2014, Fall 2015, Fall 2016
  • ECE 513 Vector-space Signal Processing: Spring 2003, Fall 2004, Spring 2020, Spring 2024
  • ECE 598-MD Wavelets in Signal Processing: Fall 2002, Spring 2004, Fall 2006
  • ECE 544-MD Wavelets in Signal Processing: Fall 2002, Spring 2004, Spring 2006, Fall 2007, Fall 2012
  • ECE-558 Digital Imaging: Spring 2008, Spring 2009
  • ECE-547 Topics in Image Processing: Fall 2009
  • ECE 590-P Signal and Image Processing Seminar: Fall 2002 - 2019

Research Interests

  • Smart health
  • Data science
  • Computational imaging
  • Signal processing

Research Areas

  • Signals, Inference and Networks

Journal Editorships

  • Associate Editor of the IEEE Transactions on Image Processing (2007 - 2011).

Honors

  • Thomas and Margaret Huang Endowed Professor, UIUC (2020 - present).
  • Associate of the Center for Advanced Study, UIUC (2017 - 2018).
  • Fellow of IEEE (2014).
  • Young Author Best Paper Award, IEEE Signal Processing Society (2008).
  • Xerox Award for Faculty Research, College of Engineering, UIUC (2007).
  • Beckman Fellow of the Center for Advanced Study, UIUC (2006 - 2007).
  • CAREER award from the National Science Foundation (2003).
  • Best Doctoral Thesis Award from the Swiss Federal Institute of Technology Lausanne (2001).
  • University Medal from the University of Canberra, Australia (1997).
  • Silver Medal from the 32nd International Mathematical Olympiad in Sweden (1991).

Teaching Honors

  • Teachers Ranked as Excellent, UIUC (Spring 2020).
  • Teachers Ranked as Excellent, UIUC (Spring 2018).
  • Teachers Ranked as Excellent, UIUC (Fall 2014).
  • Teachers Ranked as Excellent, UIUC (Spring 2006).

Research Honors

  • Coauthored a paper with Yue Lu that received an IBM Student Paper Award at the IEEE International Conference on Image Processing (2007).
  • Coauthored a paper with Yue Lu that received a Most Innovative Paper Award at the IEEE International Conference on Image Processing (2006).
  • Coauthored a paper with Ha T. Nguyen that received a Best Student Paper Award at the IEEE International Conference on Acoustics, Speech, and Signal Processing (2005).
  • Coauthored a paper with Arthur L. da Cunha that received a Best Student Paper Award at the IEEE International Conference on Acoustics, Speech, and Signal Processing (2005).

Recent Courses Taught

  • ECE 310 - Digital Signal Processing
  • ECE 311 - Digital Signal Processing Lab
  • ECE 313 (MATH 362) - Probability with Engrg Applic
  • ECE 398 BD - Making Sense of Big Data
  • ECE 513 - Vector Space Signal Processing
  • ECE 590 SIN - Signals, Inferences & Networks