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SUNMONTUEWEDTHUFRISAT
Events for October 03, 2016
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Seminars in Biomedical Engineering
Mon, Oct 03, 2016 @ 12:30 PM - 01:50 PM
Alfred E. Mann Department of Biomedical Engineering
Conferences, Lectures, & Seminars
Speaker: Qifa Zhou, PhD,
Talk Title: Photoacoustic Imaging
Location: Olin Hall of Engineering (OHE) - 122
Audiences: Everyone Is Invited
Contact: Mischalgrace Diasanta
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Ming Hsieh Institute Pioneer Series with George Bekey
Mon, Oct 03, 2016 @ 02:00 PM - 04:00 PM
Thomas Lord Department of Computer Science
Receptions & Special Events
My research career at USC was characterized by variety. I have always had broad interests, and hence my research did not center in any one area for long periods. In this talk I will describe my wanderings from human-machine systems to hybrid analog-digital computing to biological control systems and finally to robotics. Of course, there were common threads in all these areas and I was successful in obtaining significant research funding in all of them. I will also highlight some of the more successful projects and the Ph.D. students who made this success possible.
Program
2:00pm Introduction & Welcome
2:05pm Technical talk by George Bekey, Professor of Electrical Engineering
2:50pm George Bekey in Conversation with Gaurav Sukhatme
3:35pm Reception - Light refreshments
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Assistant to CS chair
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EE 598 Cyber-Physical Systems Seminar Series
Mon, Oct 03, 2016 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Laith Shalalfeh, PhD Candidate, University of Southern California
Talk Title: Early-Warning Signals to Power System Blackouts
Abstract: The rapid deployment of Phasor Measurement Units (PMUs) can keep the smart grid in a secure and reliable state. The large amount of data collected from the power grid by PMUs requires new algorithms to detect abnormal and potentially catastrophic events. In this presentation, we introduce a novel method to assess the distance to blackout or other instability of the smart grid. Based on the existence of long-range correlation in the PMU data, we exhibit an increase in the frequency Hurst exponent before the blackout. The increase in the Hurst exponent is quantified by Kendall rank correlation coefficient, which is known as Kendall's tau. High Kendall's tau of the frequency Hurst exponent is proposed as an early-warning signal for power system blackout.
Biography: Laith Shalalfeh is a PhD candidate in Electrical Engineering department at the University of Southern California. He received a B.S. degree in Electrical Engineering from the University of Jordan in 2009, and an M.S. degree in Electrical Engineering from the University of Southern California in 2012. His research interests include electric vehicles, load modeling, voltage collapse, smart grid, and phasor measurement units.
Host: Paul Bogdan
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Estela Lopez
