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Events for January 27, 2011
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Viterbi Ball Ticket Sales
Thu, Jan 27, 2011 @ 11:00 AM - 02:00 PM
Viterbi School of Engineering Student Organizations
Student Activity
Come buy your tickets for Viterbi Ball! $25 each, checks made out to USC or cash accepted.
Visit the Facebook page for more info: http://www.facebook.com/event.php?eid=170374009672457
Location: E-Quad
Audiences: Undergrad
Contact: VSC
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Distinguished Lecture Series
Thu, Jan 27, 2011 @ 12:45 PM - 01:50 PM
Mork Family Department of Chemical Engineering and Materials Science
Conferences, Lectures, & Seminars
Speaker: Professor Thomas O. Mason, Northwestern University, Department of Materials Science & Engineering
Talk Title: High Performance Oxide Conductors and Semiconductors
Series: Distinguished Lectures Series
Abstract: Highly conductive ceramics (e.g., superconductors, semi-metallic oxides, ionic conductors) are well known, as are highly resistive ceramics (e.g., dielectrics, insulators, ferroelectrics). Since the advent of oxide-based chemical sensors (e.g., SnO2-based) and voltage-dependent resistors or âvaristorsâ (e.g., ZnO-based) circa 1970, there has been a steady rise of interest in oxide semiconductors. The renaissance of oxide semiconductors over the past two decades has been particularly dramatic. For example, publications dealing with ZnO have doubled each half-decade since 1990 to more than 25,000 papers (2006-2010). This talk will focus on âmedium band gapâ (~3 eV) post-transition metal oxides, the basis set of which include CdO, ZnO, In2O3, and SnO2. (Ga2O3 is also of interest, although its band gap is significantly larger.) These compounds and their numerous binary, ternary and multinary compounds and solid solutions are known for their rare combination of high electronic conductivity (when degenerately doped) and optical transparency, and are collectively referred to as transparent conducting oxides or TCOs. TCOs find application as transparent electrodes in display technologies and photovoltaics. When non-degenerately doped, many of the same compounds/solid solutions can serve as thermoelectric oxides or TEOs for direct conversion of heat (solar, commercial, vehicular) to electricity. When very lightly doped, these same materials are excellent âtransparent oxide semiconductorâ (TOS) candidates for channel materials in oxide-based transparent thin film transistors (TTFTs), especially in the amorphous state (so-called âamorphous oxide semiconductorsâ). These can be deposited at low temperatures on flexible (polymer) substrates, thereby enabling oxide-based âtransparentâ and âflexible electronics.â This talk âdusts offâ two long-standing (but under-utilized) semiconductor analysis proceduresâso-called âJonkerâ and âIoffeâ analysesâand applies them to the characterization/optimization of high-performance oxides for advanced applications in display, information technology, and energy conversion technologies.
Host: Professor Thompson
More Info: http://chems.usc.edu/academics/10-11/d-01-27-11.htmLocation: James H. Zumberge Hall Of Science (ZHS) - 159
Audiences: Everyone Is Invited
Contact: Petra Pearce
Event Link: http://chems.usc.edu/academics/10-11/d-01-27-11.htm
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CS Colloquium
Thu, Jan 27, 2011 @ 03:30 PM - 05:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Dr. Donald Metzler, USC, Information Sciences Institute
Talk Title: Learning to Effectively and Efficiently Rank at Scale
Abstract: anking functions serve as the "brains" of modern search engines. Developing ranking functions that are both effective (i.e., produce highly relevant results) and efficient (i.e., produce a ranking in a short amount of time) is a challenging research problem, especially when dealing with large document collections, such as the Web. Machine learning has been shown to be useful for learning highly effective ranking functions, but such approaches typically do not consider efficiency costs which are critical in real applications. In this talk, I will provide an overview of the challenges of ranking at scale and describe my recent research into leveraging machine learning to yield effective and efficient ranking functions for information retrieval applications.
Biography: Donald Metzler is a Research Scientist in the Natural Language group at the University of Southern California's Information Sciences Institute. Prior to joining USC he was a Research Scientist in the Search and Computational Advertising group at Yahoo! Research. He obtained his Ph.D. from the University of Massachusetts in 2007. His research interests include information retrieval, Web search, computational advertising, and applications of machine learning to large-scale text problems. He is currently serving on the senior program committees of WWW and SIGIR. He has published over 35 research papers, has 16 patents pending, and is the co-author of Search Engines: Information Retrieval in Practice.
Host: Prof. Louis-Philipe Morency
Location: Seaver Science Library (SSL) - 150
Audiences: Everyone Is Invited
Contact: Kanak Agrawal
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Distinguished Lecturer Series
Thu, Jan 27, 2011 @ 04:30 PM - 05:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Anna Gilbert, University of Michigan
Talk Title: Sparse Approximations: Algorithms and Analysis
Abstract: The past 10 years have seen a confluence of research in sparse approximation amongst computer science, mathematics, and electrical engineering. Sparse approximation encompasses a large number of mathematical, algorithmic, and signal processing problems which all attempt to balance the size of a (linear) representation of data and the fidelity of that representation. I will discuss several of the basic algorithmic problems and their solutions, including compressive sensing and sublinear algorithms for sparse signal recovery. Also, I will address two application areas, analog-to-digital conversion and biological group testing, in which sparse approximation problems appear and for which we have novel hardware and experimental designs.
Biography: Anna Gilbert received an S.B. degree from the University of Chicago and a Ph.D. from Princeton University, both in mathematics. In 1997, she was a postdoctoral fellow at Yale University and AT&T Labs-Research. From 1998 to 2004, she was a member of technical staff at AT&T Labs-Research in Florham Park, NJ. Since then she has been with the Department of Mathematics at the University of Michigan, where she is now a Professor. She has received several awards, including a Sloan Research Fellowship (2006), an NSF CAREER award (2006), the National Academy of Sciences Award for Initiatives in Research (2008), the Association of Computing Machinery (ACM) Douglas Engelbart Best Paper award (2008), and the EURASIP Signal Processing Best Paper award (2010).
Her research interests include analysis, probability, networking, and algorithms. She is especially interested in randomized algorithms with applications to harmonic analysis, signal and image processing, networking, and massive datasets.
Host: Alex Dimakis
More Info: http://ee.usc.edu/news/dls/Location: Henry Salvatori Computer Science Center (SAL) - 101
Audiences: Everyone Is Invited
Contact: Estela Lopez
Event Link: http://ee.usc.edu/news/dls/
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Microsoft Information Session
Thu, Jan 27, 2011 @ 06:00 PM - 08:00 PM
Viterbi School of Engineering Career Connections
Workshops & Infosessions
Join representatives of this company as they share general company information and available opportunities.
Location: Grace Ford Salvatori Hall Of Letters, Arts & Sciences (GFS) - 106
Audiences: Everyone Is Invited
Contact: RTH 218 Viterbi Career Services
