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Events for February 29, 2012
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Geometry as a Prior in Signal Processing
Wed, Feb 29, 2012 @ 10:00 AM - 11:00 AM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Yuejie Chi, Ph.D., Department of Electrical Engineering, Princeton University
Talk Title: Geometry as a Prior in Signal Processing
Abstract: My theme is that geometry provides a compressive representation of the worlds that surround us. I will present examples of waveform design in radar and communications where geometric structure is used to probe the physical world more precisely. I will present applications to mobile healthcare where the focus is preserving diagnostic content in wireless Electrocardiogram monitoring using body area networks. When signals of interest live in a low dimensional subspace that evolves over time I will derive a new algorithm (PETRELS) that is able to track the subspace from incomplete data and then demonstrate improvements to Direction of Arrival Estimation in array processing. Finally I will address mismatch between the actual and the assumed geometry which limits the opportunity to simplify signal representation and reduce the complexity of signal processing.
Biography: Yuejie Chi is a Ph.D. candidate in Electrical Engineering at Princeton University, advised by Professor Robert Calderbank. She received her B.Eng. in Electrical Engineering from Tsinghua University 2007 and her M.A. from Princeton University in 2009. She has interned with the Machine Learning Group at Mitsubishi Electric Research Lab in Cambridge, MA in 2011 and with the Mobile Health Group at Qualcomm Inc. in San Diego, CA in 2010, where she won a Roberto Padovani Scholarship. Her research interests include statistical signal processing, high-dimensional data analysis, machine learning and her work is inspired by applications to communications, networks, wireless healthcare, sensing and image processing.
Host: Professor C.C. Jay Kuo
Location: Hughes Aircraft Electrical Engineering Center (EEB) - EEB
Audiences: Everyone Is Invited
Contact: Talyia Veal
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Signal Processing for Next-Generation Sequencing and Biosensing
Wed, Feb 29, 2012 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Haris Vikalo, University of Texas at Austin
Talk Title: Signal Processing for Next-Generation Sequencing and Biosensing
Abstract: Next-generation DNA sequencing technology will help determine an individual's susceptibility to a broad range of chronic and acute diseases or disorders, enable the discovery and clinical testing of new pharmaceutical products, and generally personalize and improve the delivery of health care. In this talk, I will discuss the use of concepts from signal processing in the acquisition and analysis of next-generation sequencing data. Following a brief overview of state-of-the-art sequencing technology, I will present some recent results on modeling, optimal base calling, error correction, and analytical characterization of the achievable performance of sequencing-by-synthesis. The results demonstrate beneficial effects of the developed base calling and error correction techniques on downstream applications. In the second part of the talk, I will discuss signal processing aspects of real-time affinity biosensors which are capable of temporally sampling the process of binding between molecular targets and their probes. The results on modeling, inference, and limits of performance demonstrate significant performance improvements over conventional affinity biosensors.
Biography: Haris Vikalo received the B.S. degree from the University of Zagreb, Croatia, in 1995, the M.S. degree from Lehigh University in 1997, and the Ph.D. degree from Stanford University in 2003, all in electrical engineering. He held a short-term appointment at Bell Laboratories, Murray Hill, NJ, in the summer of 1999. From January 2003 to July 2003 he was a Postdoctoral Researcher, and from July 2003 to August 2007 he was an Associate Scientist at the California Institute of Technology. Since September 2007, he has been with the Department of Electrical and Computer Engineering, the University of Texas at Austin, where he is currently an Assistant Professor. He is a recipient of the 2009 National Science Foundation Career Award. His research interests include genomic signal processing, stochastic signal processing, and communications.
Host: Prof. Urbashi Mitra, ubli@usc.edu, x04667
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Gerrielyn Ramos
