Assoc. Prof., Dr. Minh N. Do

Assoc. Prof., Dr. Minh N. Do
University of Illinois at Urbana-Champaign
Quốc gia: Vietnamese
Tiểu sử:

Minh N. Do was born in Thanh Hoa, Vietnam in 1974.

He 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), Switzerland in 2001.

Since 2002, he has been on the faculty at the University of Illinois at Urbana-Champaign, where he is currently an Associate Professor in the Department of Electrical and Computer Engineering, and holds joint appointments with the Coordinated Science Laboratory, the Beckman Institute for Advanced Science and Technology, and the Department of Bioengineering.

His research interests include image and multi-dimensional signal processing, computational imaging, wavelets and multiscale geometric analysis, and visual information representation.

He received a Silver Medal from the 32nd International Mathematical Olympiad in 1991, a University Medal from the University of Canberra in 1997, a Doctorate Award from the Swiss Federal Institute of Technology Lausanne in 2001, and a CAREER Award from the National Science Foundation in 2003.

He co-authored on two papers with Arthur L. da Cunha and Ha T. Nguyen that received Best Student Paper Awards at the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) in 2005, a paper with Yue Lu that received a Most Innovative Paper Award at the IEEE International Conference on Image Processing (ICIP) in 2006, and a paper with Yue Lu that received a Student Paper Award at ICIP in 2007.

He received a Young Author Best Paper Award from the IEEE Signal Processing Society in 2008 for a paper co-authored with Martin Vetterli.

He was named a Beckman Fellow at the Center for Advanced Study, UIUC in 2006, and received a Xerox Award for Faculty Research, College of Engineering, UIUC, in 2007.

He was a member of the IEEE Signal Processing Theory and Methods and Image, Video, and Multidimensional Signal Processing Technical Committees, and an Associate Editor of the IEEE Transactions on Image Processing.

He was elevated as an IEEE Fellow in 2014 for contributions to image representation and computational imaging.

Fundamentals of Signal Processing

Presents fundamental concepts and tools in signal processing including: linear and shift-invariant systems, vector spaces and signal expansions, Fourier transforms, sampling, spectral and time-frequency analyses, digital filtering, z-transform, ...

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