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Events for January 17, 2013
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Focused on parallel and distributed computingThu, Jan 17, 2013 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: TBA, TBA
Talk Title: TBA
Series: EE598 Seminar Course
Abstract: Weekly seminars given by researchers in academia and industry including senior doctoral students in EE, CS and ISI covering current research related to parallel and distributed computation including parallel algorithms, high performance computing, scientific computation, application specific architectures, multi-core and many-core architectures and algorithms, application acceleration, reconfigurable computing systems, data intensive systems, Big Data and cloud computing.
Biography: Prerequisite: Students are expected to be familiar with basic concepts at the level of graduate level courses in Computer Engineering and Computer Science in some of these topic areas above. Ph.D. students in Electrical Engineering, Computer Engineering and Computer Science can automatically enroll. M.S. students can enroll only with permission of the instructor. To request permission send a brief mail to the instructor in text format with the subject field ââ¬ÅEE 598ââ¬Â. The body of the mail (in text format) should include name, degree objective, courses taken at USC and grades obtained, prior educational background, and relevant research background, if any.
Requirements for CR:
1. Attending at least 10 seminars during the semester
There will be a sign-in sheet and a sign-out sheet at every seminar. All students must sign-in (before 2:00pm) and sign-out (after 3:00pm). The sign-in sheet will not be available after 2:00pm, and the sign-out sheet will not be available before 3:00pm.
2. Submitting a written report for at least 5 seminars
The written report for each seminar must be 1-page single line spaced format with font size of 12 (Times) or 11 (Arial) without any figures, tables, or graphs. The report must be submitted no later than 1 week after the corresponding seminar, and must be handed only to the instructor either on the seminar times or during office hours. Late reports will not be considered.
The report must summarize studentââ¬â¢s own understanding of the seminar, and should contain the following:
- Your name and submission date [1 line]
- Title of the seminar, name of the speaker, and seminar date [1 line]
- Background of the work (e.g., applications, prior research, etc.) [1 paragraph]
- Highlights of the approaches presented in the seminar [1-2 paragraphs]
- Main results presented in the seminar [1-2 paragraphs]
- Conclusion (your own conclusion and not what was given by the speaker) [1 paragraph]
Reviewing papers related to the topic of the seminar, and incorporating relevant findings in the
reports (e.g., in the conclusion section) is encouraged. In such cases, make sure to clearly indicate
the reference(s) used to derive these conclusions.
Host: Professor Viktor K. Prasanna
More Information: Course Announcement_EE598_Focused on parallel and distributed computing_(Spring 2013).pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) -
Audiences: Everyone Is Invited
Contact: Janice Thompson
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EE 598: SEMINAR 1: Data-driven Models for Dynamic Demand Response
Thu, Jan 17, 2013 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Saima Aman, USC Viterbi PhD Student, Computer Science
Talk Title: Data-driven Models for Dynamic Demand Response
Series: EE598 Seminar Course
Abstract: Smart Grid is the extension of the traditional electric grid with advanced technologies for communication, monitoring and control. Its goal is to gain reliability and efficiency in generation, distribution, and consumption, and ultimately achieve energy sustainability. Demand response (DR) is a key component of Smart Grid that deals with the customers reducing their electricity consumption during peak load periods when asked by the utility. The next challenge in DR research is to achieve dynamic demand response (D2R) which deals with dynamic decision making about when, by how much, and how to reduce electricity use by the consumers in response to dynamically changing conditions of generation and consumption. In Smart Grid, fine grained and rich variety of spatio-temporal data is available which can be leveraged to build data-driven models to aid decision making for D2R.
Biography: Saima Aman is a Ph.D. student in Computer Science and Research Assistant at the Center for Energy Informatics, University of Southern California, Los Angeles. Her current research is focused on applying data analytics to the problem of dynamic demand response in smart grids, including both direct building controls and voluntary curtailment by consumers, to achieve reliable and efficient grid operations. She received her M.S. in Computer Science from the University of Ottawa, Canada, and B.Tech. in Computer Engineering from AMU, India. She is a member of IEEE and AAAI.
Host: Professor Viktor K. Prasanna
More Information: Course Announcement_EE598_Focused on parallel and distributed computing_(Spring 2013).pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) -
Audiences: Graduate
Contact: Janice Thompson
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EE Distinguished Lecturer Series
Thu, Jan 17, 2013 @ 03:00 PM - 04:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Emery N. Brown, M.D., Ph.D., Harvard Medical School, Massachusetts General Hospital and MIT
Talk Title: The Dynamics of the Unconscious Brain Under General Anesthesia
Abstract: General anesthesia is a drug-induced, reversible condition comprised of five behavioral states: unconsciousness, loss of memory, loss of pain sensation, akinesia, and hemodynamic stability with control of the stress response. The mechanisms by which anesthetic drugs induce the state of general anesthesia are considered one of the biggest mysteries of modern medicine. We use three experimental paradigms to study general anesthesia-induced loss of consciousness in humans: combined fMRI/EEG recordings, high-density EEG recordings and intracranial recordings. These studies are allowing us to establish precise neurophysiological, neuroanatomical and behavioral correlates of unconsciousness under general anesthesia. Combined with our mathematical modeling work on how anesthetics act on neural circuits to produce the state of general anesthesia we offer specific hypotheses as to how changes in level of activity in specific circuits lead to the unconscious state. Our findings suggest that the state of general anesthesia is not as mysterious as currently believed.
Biography: Emery N. Brown is professor of computational neuroscience and health sciences and technology at MIT, the Warren M. Zapol Professor of Anesthesia at Harvard Medical School, and a practicing anesthesiologist at Massachusetts General Hospital. Dr. Brown received his B.A. from Harvard College (magna cum laude), his M.A. and Ph.D. in statistics from Harvard University and his M.D. (magna cum laude) from Harvard Medical School. Dr. Brown’s methodology research develops signal processing and statistical methods to characterize how neurons in the brain represent and transmit information. His experimental research is characterizing the neurophysiology of how anesthetics act in the brain to create the state of general anesthesia. Dr. Brown is a fellow of the IEEE and of the American Academy of Arts and Sciences, a member of the Institute of Medicine, a 2007 recipient of an NIH Director,s Pioneer Award and a 2012 recipient of an NIH Director’s Transformative Research Award.
Host: Drs. Urbashi Mitra, Alice Parker
More Info: http://ee.usc.edu/news/dls/
More Information: 20130117 Brown Print.pdf
Location: Ethel Percy Andrus Gerontology Center (GER) - 124
Audiences: Everyone Is Invited
Contact: Estela Lopez
Event Link: http://ee.usc.edu/news/dls/
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CS Colloquium: Katrina Ligett
Thu, Jan 17, 2013 @ 03:30 PM - 05:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Katrina Ligett, Caltech
Talk Title: CS Colloquium: Katrina Ligett
Series: CS Colloquium
Abstract: In this talk, we consider the problem of estimating a potentially
sensitive (individually stigmatizing) statistic on a population. In our model, individuals are concerned about their privacy, and
experience some cost as a function of their privacy loss.
Nevertheless, they would be willing to participate in the survey if they were compensated for their privacy cost. These cost functions are not publicly known, however, nor do we make Bayesian assumptions about their form or distribution. Individuals are rational and will misreport their costs for privacy if doing so is in their best interest. Ghosh and Roth recently showed in this setting, when costs for privacy loss may be correlated with private types, if individuals value differential privacy, no individually rational direct revelation mechanism can compute any non-trivial estimate of the population statistic. In this paper, we circumvent this impossibility result by proposing a modified notion of how individuals experience cost as a function of their privacy loss, and by giving a mechanism which does not operate by direct revelation. Instead, our mechanism has the ability to randomly approach individuals from a population and offer them a take-it-or-leave-it offer. This is intended to model the abilities of a surveyor who may stand on a street corner and approach passers-by.
Joint work with Aaron Roth.
Biography: Katrina Ligett has been an Assistant Professor in Computer Science and Economics at the California Institute of Technology since 2011. Prior to joining Caltech, she was a postdoctoral scholar at Cornell University, and she received her PhD in Computer Science at Carnegie Mellon University in 2009. Katrina's research interests are in algorithms, particularly online algorithms, algorithmic game theory, and data privacy. Her research has been supported by an AT&T Labs Graduate Research Fellowship, an NSF Graduate Research Fellowship, a Computing Innovation Fellows Postdoctoral Fellowship, and an NSF Mathematical Sciences Postdoctoral Fellowship.
Host: Shaddin Dughmi
More Information: LIGETT_BUYINGPRIVACY.pdf
Location: Seaver Science Library (SSL) - 150
Audiences: Everyone Is Invited
Contact: Assistant to CS chair
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Freud's Last Session
Thu, Jan 17, 2013 @ 06:00 PM - 11:30 PM
USC Viterbi School of Engineering
University Calendar
Open to USC Students only. Admission is free. Reservations required. To RSVP, click here: http://web-app.usc.edu/ws/eo2/calendar/113/event/899652 beginning Thursday, December 20, at 9 a.m. See below for details.*
*This trip is for current USC students only. You must use the provided transportation to participate. Space is limited and advance registration is required. RSVP at the link above beginning Thursday, December 20, at 9 a.m. Check-in for the event will begin at 5:15 p.m. on campus. Buses will depart at 6 p.m. and return to campus at 11:30 p.m. Dinner will be provided at check-in.
By Mark St. Germain
Starring Judd Hirsch and Tom Cavanaugh
ââ¬ÅA show you donââ¬â¢t really want to end.ââ¬Â - Chicago Tribune
ââ¬ÅSpirited, witty, and eminently engaging.ââ¬Â - Entertainment Weekly
God, love, sex and the meaning of life. Itââ¬â¢s all up for discussion on the Santa Monica shore in the West Coast premiere of Freudââ¬â¢s Last Session. Best Play winner of the 2011 Off-Broadway Alliance Award, this provocative and witty play centers on a tension-filled encounter between Sigmund Freud and the young Oxford professor C.S. Lewis on the day Britain enters World War II. Enthusiastic word-of-mouth has propelled this profound and deeply touching play from Chicago and New York to international popularity.
For further information on this event:
visionsandvoices@usc.edu
Location: The Broad Stage, Santa Monica
Audiences: Everyone Is Invited
Contact: Daria Yudacufski
