Booz Allen Colloquium: H.T. Kung, Harvard Univ, "Compressive Sensing: A Revolutionary Technology"

Friday, February 25, 2011
3:00 p.m.
Jeong H. Kim Engineering Building, Rm. 1110
Jess Molina
jmolina2@umd.edu

Booz Allen Hamilton Distinguished Colloquium in Electrical and Computer Engineering

"Compressive Sensing: A Potentially Revolutionary Technology"

Prof. H. T. Kung
William H. Gates Professor of Computer Science and Electrical Engineering
Harvard University

Abstract:

Can you imagine the possibility of solving N unknowns with M linear equations where M is much less than N? It turns out that this is possible in recovering sparse signal under compressive sensing, a hot topic in signal processing and information theory. By tailoring decoding to a given application, we can now achieve surprisingly high compression ratios without comprehending the input signal. In this presentation, we will examine issues related to transition of this technology to the applied research world. We will introduce the basic concepts of compressed sensing, and argue that potential applications can be beyond signal processing to include cognitive radio, hardware intrusion detection, resource management in cloud computing, etc. In addition, we will describe recent research at Harvard in making the technology resilient against sensing errors or malicious attacks, and in using joint decoding across multiple domains to further reduce required signal measurements.

Biography:

H. T. Kung is William H. Gates Professor of Computer Science and Electrical Engineering at Harvard University. He is interested in computing and communications, with a current focus on wireless networking. Prior to joining Harvard in 1992, he taught at Carnegie Mellon University for 19 years. Professor Kung has pursued a variety of research interests in his career, including complexity theory, database systems, VLSI design, parallel computing, computer networks, network security, wireless communications, and networking of unmanned aerial systems. He pioneered the concept of systolic array processing, and has led large research teams on the design and development of novel parallel computers and computer networks. To complement his academic activities, Professor Kung maintains a strong link with industry. He has served as a consultant and board member to numerous companies and government organizations. Professor Kung's professional honors include: Member of the National Academy of Engineering, Member of the Academia Sinica (in Taiwan), and Guggenheim Fellowship.

Audience: Campus  Clark School  All Students  Graduate  Undergraduate  Faculty  Post-Docs 

 

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