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Conference Program 


Keynote Lecture

Speaker:Professor Zhi-Pei Liang
University of Illinois at Urbana-Champaign, USA
Title:Fast Imaging with Sparsity and Rank Constraints


Abstract

Conventional imaging methods are based on Shannon sampling theory. As such, the number of Nyquist samples (or measurements) grows exponentially as the physical dimension of the underlying imaging problem increases (the so-called curse of dimensionality), rendering it difficult to achieve high resolution for high-dimensional imaging. Sub-Nyquist sampling is possible for sparse and/or partially seperable signals and is providing a powerful way to speed up various imaging experiments. This talk will provide an overview of recent sparse sampling methods based on compressed sensing theory and partial seperable function theory. An emphasis will be placed on discussing the issues of image reconstruction from sub-Nyquist data with sparsity and rank constraints and demonstrating their potential applications.


Biography

Professor Zhi-Pei Liang received his Ph.D. degree in Biomedical Engineering from Case Western Reserve University in 1989. He subsequently joined the University of Illinois at Urbana-Champaign (UIUC), first as a postdoctoral fellow (advisor: Paul C. Lauterbur), and then as a faculty member in the Electrical and Computer Engineering Department. He is currently Professor of Electrical and Computer Engineering and Co-chair of the Integrative Imaging Theme of the Beckman Institute for Advanced Science and Technology. He also has joint appointments in the Coordinated Science Laboratory, the Computational Biophysics Program, and the Department of Bioengineering, all at UIUC.

Dr. Liang's research interests include magnetic resonance imaging, superresolution image reconstruction using a priori constraints, statistical and learning-based methods for biomedical image analysis, and their application to functional brain mapping, cancer imaging, and cardiac imaging.
Dr. Liang is a recipient of the Sylvia Sorkin Greenfield Best Paper Award of the Medical Physics Journal (1990), an NSF Research Initiation Award (1994) and CAREER Award (1995), and an IEEE-EMBS Early Career Achievement Award (1999). He was named Fellow of the UIUC Center for Advanced Study (1997), Henry Magnuski Scholar (1999-2001), and University Scholar (2001-2004). He has appeared several times in the Daily Illini List of Excellent Teachers (1998-2000; 2005; 2007, 2008), was selected as a Distinguished Lecturer of IEEE-EMBS (2002-2005), and received the Ronald W. Pratt Faculty Outstanding Teaching Award (2005), and the Engineering Council Award for Excellence in Advising (2006, 2007, 2008). Dr. Liang was elected as Vice President (2006-2009), President-elect (2010), and President (2011-2012) of IEEE-EMBS. Dr. Liang is a Fellow of American Institute for Medical and Biological Engineering (2005), a Fellow of IEEE (2006), and a Fellow of International Society of Magnetic Resonance in Medicine (2010).
 


 
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