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SUNMONTUEWEDTHUFRISAT
Events for October 10, 2014
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Meet USC: Admission Presentation, Campus Tour, & Engineering TalkFri, Oct 10, 2014
Viterbi School of Engineering Undergraduate Admission
Receptions & Special Events
This half day program is designed for prospective freshmen and family members. Meet USC includes an information session on the University and the Admission process; a student led walking tour of campus and a meeting with us in the Viterbi School. Meet USC is designed to answer all of your questions about USC, the application process and financial aid. Reservations are required for Meet USC. This program occurs twice, once at 8:30 a.m. and again at 12:30 p.m. Please visit http://www.usc.edu/admission/undergraduate/firstyear/prospective/meetusc_sw.html to check availability and make an appointment. Be sure to list an Engineering major as your "intended major" on the webform!
Location: Ronald Tutor Campus Center (TCC) - USC Admission Office
Audiences: Everyone Is Invited
Contact: Viterbi Admission
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Women's Discover Engineering Day
Fri, Oct 10, 2014 @ 08:00 AM - 03:00 PM
Viterbi School of Engineering Student Organizations
Receptions & Special Events
Join SHPE as we introduce local female high school students to the field of engineering and all its applications in daily life. We will stimulate, or initiate, their interest in engineering with team-oriented competitions and workshops. However, our main goal will be to encourage them to pursue higher education and apply to college!
Location: Engineering Quad
Audiences: Everyone Is Invited
Contact: Society of Hispanic Professional Engineers
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AI SEMINAR
Fri, Oct 10, 2014 @ 11:00 AM - 12:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Yolanda Gil, Deputy Director, Intelligent Systems Division
Talk Title: Semantic Challenges in Getting Work Done
Abstract: In the new millennium, work involves an increasing amount of tasks that are knowledge-rich and collaborative. We are investigating how semantics can help on both fronts. Our focus is scientific work, in particular data analysis, where tremendous potential resides in combining the knowledge and resources of a highly fragmented science community. We capture task knowledge in semantic workflows, and use skeletal plan refinement algorithms to assist users when they specify high-level tasks. But the formulation of workflows is in itself a collaborative activity, a kind of meta-workflow composed of tasks such as finding the data needed or designing a new algorithm to handle the data available. We are investigating "organic data science", a new approach to collaboration that allows scientists to formulate and resolve scientific tasks through an open framework that facilitates ad-hoc participation. With a design based on social computing principles, our approach makes scientific processes transparent and incorporates semantic representations of tasks and their properties. The semantic challenges involved in this work are numerous and have great potential to transform the Web to help us do work in more productive and unanticipated ways.
Biography: Yolanda Gil is Director of Knowledge Technologies and Associate Division Director at the Information Sciences Institute of the University of Southern California, and Research Professor in the Computer Science Department. She received her M.S. and Ph. D. degrees in Computer Science from Carnegie Mellon University. Dr. Gil conducts research on various aspects of Interactive Knowledge Capture, including intelligent user interfaces, knowledge-rich problem solving, and the semantic web. In recent years, her work has focused on collaborative large-scale scientific data analysis through semantic workflows. She initiated and chaired the W3C Provenance Incubator that led to the PROV community standard. She was elected Fellow of the American Association of Artificial Intelligence (AAAI) in 2012. Dr. Gil is the current Chair of ACM SIGAI, the Association for Computing Machinery's Special Interest Group on Artificial Intelligence.
Host: Greg VerSteeg
Location: Information Science Institute (ISI) - 11th floor large conference room
Audiences: Everyone Is Invited
Contact: Kary LAU
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W.V.T. Rusch Engineering Honors Colloquium
Fri, Oct 10, 2014 @ 01:00 PM - 02:00 PM
USC Viterbi School of Engineering, Viterbi School of Engineering Student Affairs
Conferences, Lectures, & Seminars
Speaker: Ed Ebrahimian, Director of the Bureau of Street Lighting of the City of Los Angeles
Talk Title: LA's Leadership in LED Street Lighting
Host: W.V.T. Rusch Engineering Honors Program
Location: Seeley G. Mudd Building (SGM) - 101
Audiences: Everyone Is Invited
Contact: Jeffrey Teng
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Munushian Seminar - Keynote Lecture
Fri, Oct 10, 2014 @ 02:00 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: David Wineland, NIST Time and Frequency Division, Boulder, CO
Talk Title: Quantum Computers and Raising Schrödingerâs Cat
Abstract: Quantum systems such as atoms can be used to store information. For example, we can store binary information in two energy levels of an atom by labeling the state with lower energy a â0â and the state with higher energy a â1.â However, quantum systems can also exist in superposition states, thereby storing both states of the bit simultaneously, a situation that makes no sense in our ordinary-day experience. This property of quantum bits or âqubitsâ potentially leads to an exponential increase in memory and processing capacity. It would enable a quantum computer to efficiently solve certain problems such as factorizing large numbers - an ability that could compromise the security of current encryption systems. A quantum computer would also realize an analog of âSchrödingerâs Cat,â a bizarre situation where a cat could be simultaneously dead and alive. Experiments whose goal is to realize a quantum computer based on laser manipulations of atomic ions will be described.
Biography: David J. Wineland (born 1944) is an American physicist at the National Institute of Standards and Technology (NIST) physics laboratory in Boulder. His work has included advances in optics, specifically laser cooling of ions in Paul traps and use of trapped ions to implement quantum computing operations. Wineland received his bachelorâs degree from the University of California, Berkeley in 1965 and his PhD in 1970 working under Norman Ramsey at Harvard University. He then worked as a postdoc in Hans Dehmeltâs group at the University of Washington before joining the National Bureau of Standards in 1975 where he started the ion storage group, now at NIST, Boulder. Wineland is a fellow of the American Physical society, the American Optical society, and was elected to the National Academy of Sciences in 1992. He was the recipient of the 1990 Davisson-Germer Prize in Atomic or Surface Physics, the 1990 William F. Meggers Award of the Optical Society of America, the 1996 Einstein Medal for Laser Science of the Society
of Optical and Quantum electronics, the 1998 Rabi Award from the IEEE Ultrasonics, Ferroelectrics,
and Frequency Control Society, the 2001 Arthur L. Schawlow Prize in Laser. He is an American Nobel-Prize-winning physicist at the National Institute of Standards and Technology (NIST) physics laboratory. His work has included advances in optics, specifically laser cooling of ions in Paul traps and use of trapped ions to implement quantum computing operations. He was awarded the 2012 Nobel Prize in Physics, jointly with Serge Haroche, for âground-breaking experimental methods that enable measuring and manipulation of individual quantum systems.â
Host: EE-Electrophysics
Location: Ethel Percy Andrus Gerontology Center (GER) - 124
Audiences: Everyone Is Invited
Contact: Marilyn Poplawski
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Astani CEE Ph.D. Seminar
Fri, Oct 10, 2014 @ 03:00 PM - 04:00 PM
Sonny Astani Department of Civil and Environmental Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Todd Oliver, Institute for Computational Engineering and Sciences (ICES) at UT-Austin
Talk Title: A Framework for Validating Predictions of Unobserved Quantities with Applicatons from Turbulent Flow Similation
Abstract:
In applied science and engineering, computational models are commonly used to make predictions of quantities that are not experimentally observable. Assessing the validity of such predictions, which are fundamentally extrapolations, is challenging but critical. In classical approaches to validation, model outputs for observed quantities are compared to observations to determine if they are consistent. By itself, this consistency only ensures that the model can predict the observed quantities under the conditions of the observations. This limitation dramatically reduces the utility of the
validation effort for decision making because it implies nothing about predictions of unobserved QoIs or for scenarios outside of the range of observations.
This talk will describe a process for validation of extrapolative predictions for models with known sources of error. The process includes stochastic modeling, calibration, validation, and predictive assessment phases where representations of known sources of uncertainty and error are built, informed, and tested. The methodology is applied to a simple spring-mass-damper system to illustrate the process in the simplest possible setting. Finally, some aspects of the process, including calibration and stochastic modeling, are discussed in the context of RANS turbulence modeling.
Biography:
Todd Oliver is a research associate with the Center for Predictive Engineering and Computational Sciences (PECOS) at the Institute for Computational Engineering and Sciences (ICES) at UT-Austin. Dr. Oliver's expertise is in the broad area of computational fluid dynamics with specific focus on statistical methods for the validation of models and predictions. At PECOS he developed predictive tools for the analysis and design of re-entry vehicles.
Host: Dr. Roger Ghanem
Location: Seeley G. Mudd Building (SGM) - 101
Audiences: Everyone Is Invited
Contact: Evangeline Reyes
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NL Seminar- Interplay between Continuous and Discrete Aspects of Brain Image Analysis
Fri, Oct 10, 2014 @ 03:00 PM - 04:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Boris Gutman, USC/ISI
Talk Title: Interplay between Continuous and Discrete Aspects of Brain Image Analysis
Series: Natural Language Seminar
Abstract: Brain MRI offers tremendous opportunity to learn about cortical anatomy, function and connectivity. In this talk I will go over several standard techniques for image understanding used in brain imaging. These include image registration, segmentation, tractography and graph-based connectivity analyses. Among these algorithms, we routinely encounter both continuous and discrete types of analysis. Non-linear image registration, typically formalized as a diffeomorphism on the image domain, is an example of the former: we may ask for instance how much volume change the brain is experiencing locally over time, clearly a continuous measure. In another example, we may trace continuous curves in space that best fit a Diffusion Tensor MR image to approximate fibers in the brainâs white matter. One the other hand, connectivity between distinct units within the nervous system is an example of discrete analysis: for instance, the brainâs functionally distinct regions are thought of as nodes in a graph, whose edges are defined by the connecting fiber models.
After a brief description of the standard methods at hand, I will suggest an approach for combining the two types of analysis. By assuming the continuous paradigm for connectivity, we can push our connectome model from being a discrete graph to being a linear operator. Using some well-known results from operator theory, we can decompose the operator into its resident âeigen-networks,â and apply continuous methods directly. As an example, we can spatially register connectivity matrices with spatially distributed nodes. Finally, I will show two simple examples of continuous analogues for standard graph theory measures, and their potential application for an Alzheimer âs disease study.
Biography: Boris Gutman received his B.S. in Applied Mathematics and PhD in Biomedical Engineering from UCLA before joining USCâs Imaging Genetics Center (IGC). He is currently a post-doctoral scholar at the IGC, under the supervision of Professor Paul M. Thompson.
Host: Aliya Deri and Kevin Knight
More Info: http://nlg.isi.edu/nl-seminar/
Location: Information Science Institute (ISI) - 6th Flr Conf Rm # 689 Marina Del Rey
Audiences: Everyone Is Invited
Contact: Peter Zamar
Event Link: http://nlg.isi.edu/nl-seminar/
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ASBME Big/Little Meet n' Mingle
Fri, Oct 10, 2014 @ 04:45 PM - 06:30 PM
Viterbi School of Engineering Student Organizations
Student Activity
Want to be a Little or a Big? Like what you saw at the Mentoring Preview Night? If so, or even if you didn't get a chance to make it, this is the first official event of the Big/Little program. We'll be having Chick-Fil-A across the way at the Rose Garden while playing some games and beginning to match you with a Big or Little. We're meeting by Tire Biter at 4:45 then walking over together at 5. This event is mandatory for anyone who wants to be a part of the program. If you have a conflict but would still like to be paired up as a Big or Little, please email asbme.mentoring@gmail.com.
Location: Rose Garden
Audiences: Everyone Is Invited
Contact: Associated Students of Biomedical Engineering
