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Events for November 13, 2013
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Signal Processing Methods for Diagnosing and Treating Neurological Disorders: A Focus on DBS
Wed, Nov 13, 2013 @ 11:00 AM - 12:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Otis Smart, Emory University
Talk Title: Signal Processing Methods for Diagnosing and Treating Neurological Disorders: A Focus on DBS
Abstract: Worldwide, millions of patients with neurological disorders have an impaired quality of life, although in some cases successful therapeutic interventions can improve their life quality. Whether a patient has epilepsy, depression, malmovement, or another debilitating brain disease, neurologists and neurosurgeons rely on accurate diagnostic techniques and novel treatment modalities to effectively provide therapy. This talk presents bioengineering approaches, in particular signal processing of brain electrophysiology and electrical brain stimulation, which can contribute to these clinical needs in patient diagnosis and treatment.
Biography: Otis Smart received the B.S. degree in general science from Morehouse College in 2001 and the B.S., M.S. and Ph.D. degrees in electrical and computer engineering from the Georgia Institute of Technology in 2001, 2002 and 2007, respectively. Dr. Smart conducts interdisciplinary human-subjects research for projects that study epilepsy, depression, and movement disorders by applying bioengineering methods. His primary scientific interests focus on providing semi-automatic signal-processing algorithms that serve as reliable decision-support tools for physicians to better understand, diagnose, predict, and modulate pathological activity in patients with neurological disorders. He also applies signal processing analyses for basic science in vivo animal models and in vitro models of brain disorders. His interests also include developing biomedical devices for disease therapy and diagnosis. He currently is an NIH postdoctoral fellow at Emory University, supported by an NINDS postdoctoral career development award. He previously conducted research at the Emory Yerkes Primate Research Center, the Intelligent Control Systems Laboratory at Georgia Tech, the Psychophysiology Laboratory at NASA Ames Research Center, and Clemson University. He has also worked as a Radio-Frequency Engineer at Bellsouth Mobility.
Host: Panayiotis Georgiou
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Mary Francis
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Adaptive, Parallel, and Asynchronous Stochastic Optimization Algorithms
Wed, Nov 13, 2013 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: John Duchi, University of California, Berkeley
Talk Title: Adaptive, Parallel, and Asynchronous Stochastic Optimization Algorithms
Abstract: In this talk, I will discuss some recent insights in stochastic optimization algorithms, focusing on new adaptive schemes that dynamically incorporate knowledge of the geometry of the data observed in earlier iterations to perform more informative gradient-based optimization. These ideas allow us to develop learning algorithms that are (in a sense) optimal for the data they actually receive. As a particular example of these schemes, we look at problems where the *data* is sparse, which is in a sense dual to the current understanding of high-dimensional statistical learning and optimization. We also show how these ideas can be leveraged in the design of parallel and asynchronous algorithms, providing experimental evidence to complement our theoretical results on several different learning and optimization tasks.
Biography: I am currently a PhD candidate in computer science at Berkeley, where I started in the fall of 2008. I work in the Statistical Artificial Intelligence Lab (SAIL) under the joint supervision of Mike Jordan and Martin Wainwright. I obtained my master's degree (MA) in statistics in Fall 2012. I was initially supported by an NDSEG fellowship, and until recently was supported by Facebook, who generously awarded me a Facebook Fellowship. Before this, I was an undergrad and a masters student at Stanford University working with Daphne Koller in her research group, DAGS. I also spend some time at Google Research (once upon a time I was also a software engineer there), where I had (and continue to have) the great fortune to work with Yoram Singer.
Host: Urbashi Mitra, ubli@usc.edu, EEB 536, x04667
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Gerrielyn Ramos
