Select a calendar:
Filter March Events by Event Type:
SUNMONTUEWEDTHUFRISAT
Events for March 05, 2018
-
Summer 2018 Registration
Mon, Mar 05, 2018
Viterbi School of Engineering Student Affairs
University Calendar
Registration for Summer 2018 begins.
https://arr.usc.edu/calendar/Audiences: Everyone Is Invited
Contact: Sheryl Koutsis
-
Fall Schedule of Classes Released
Mon, Mar 05, 2018
Viterbi School of Engineering Student Affairs
University Calendar
The Fall schedule of classes is now available on WebReg and at classes.usc.edu
Individual registration times (permits to register) are also available on WebReg.Audiences: Everyone Is Invited
Contact: Taylor Relich
-
Deadline to Apply to be a Freshmen Academy Coach
Mon, Mar 05, 2018
Viterbi School of Engineering Student Affairs
Student Activity
Last day to apply to be an Academy Coach for the fall 2018 semester.
Audiences: Everyone Is Invited
Contact: Taylor Relich
-
Center for Systems and Control (CSC@USC) and Ming Hsieh Institute for Electrical Engineering
Mon, Mar 05, 2018 @ 11:00 AM - 12:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Pramod Khargonekar, University of California, Irvine
Talk Title: Electric Grid Integration of Renewable Generation and Distributed Control
Abstract: The main goal of this presentation is to showcase the major challenges in integrating large amounts of solar and wind electric energy in power systems. I will begin with an overview of the key drivers for increased use of solar and wind electricity production: carbon emissions reduction for climate change mitigation, falling prices of wind and solar generation, and socio-economic policies and preferences. This will be followed by a description of the major obstacles and challenges in power systems operations and controls in using large amounts of wind and solar electricity while achieving reliability at low cost. I will next highlight some of the possible avenues to overcoming these obstacles where control systems technologies hold significant potential: harnessing demand side flexibility, energy storage and electric vehicles, and economic market operations. I will present some of our recent results along these directions. The talk will conclude with some thoughts on the evolutionary nature of electric energy system development and technological change, resilience of infrastructures and prospects for the future.
Biography: Pramod Khargonekar received B. Tech. Degree in electrical engineering in 1977 from the Indian Institute of Technology, Bombay, India, and M.S. degree in mathematics in 1980 and Ph.D. degree in electrical engineering in 1981 from the University of Florida, respectively. He has been on faculty at the University of Florida, University of Minnesota, The University of Michigan, and the University of California, Irvine. He was Chairman of the Department of Electrical Engineering and Computer Science from 1997 to 2001 and also held the position of Claude E. Shannon Professor of Engineering Science at The University of Michigan. From 2001 to 2009, he was Dean of the College of Engineering and Eckis Professor of Electrical and Computer Engineering at the University of Florida till 2016. He also served briefly as Deputy Director of Technology at ARPA-E, US Department of Energy in 2012-13. He was appointed by the National Science Foundation (NSF) to serve as Assistant Director for the Directorate of Engineering (ENG) in March 2013, a position he held till June 2016. In this position, Khargonekar led the ENG Directorate with an annual budget of more than $950 million. In addition, he served as a member of the NSF senior leadership and management team and participated in setting priorities and policies. In June 2016, he assumed his current position as Vice Chancellor for Research and Distinguished Professor of Electrical Engineering and Computer Science at the University of California, Irvine.
Khargonekar's research and teaching interests are centered on theory and applications of systems and control. His early work was on mathematical control theory, specifically focusing on robust control analysis and design. During the 1990's, he was involved in a major multidisciplinary project on applications of control and estimation techniques to semiconductor manufacturing. His current research and teaching interests include systems and control theory, machine learning, and applications to smart electric grid and neural engineering. He has been recognized as a Web of Science Highly Cited Researcher. He is a recipient of the NSF Presidential Young Investigator Award, the American Automatic Control Council's Donald Eckman Award, the Japan Society for Promotion of Science fellowships, the IEEE W. R. G. Baker Prize Award, the IEEE CSS George Axelby Best Paper Award, the Hugo Schuck ACC Best Paper Award, and the Distinguished Alumnus and Distinguished Service Awards from the Indian Institute of Technology, Bombay. He is a Fellow of IEEE and IFAC. At the University of Michigan, he received the Arthur F. Thurnau Professorship. In the past, he has served as Associate Editor for IEEE Transactions on Automatic Control, SIAM Journal of Control, Systems and Control Letters, and International J. of Robust and Nonlinear Control. He has been a member of the IEEE Control Systems Theory and Robust Control technical committee. He has also served as Chair and Member of the American Automatic Control Council's Donald Eckman Award Committee. He has served as Program Co-Chair of the American Control Conference. Recently, he was a member of the IEEE Smart Grid 2030 Vision committee.
Host: Mihailo Jovanovic, mihailo@usc.edu
More Information: khargonekar.jpg (JPEG Image, 1886 × 2693 pixels) - Scaled (32%).pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Gerrielyn Ramos
-
Biomedical Engineering Seminars
Mon, Mar 05, 2018 @ 12:30 PM - 01:50 PM
Alfred E. Mann Department of Biomedical Engineering
Conferences, Lectures, & Seminars
Talk Title: TBA
Host: Professor Qifa Zhou
Location: Olin Hall of Engineering (OHE) - 122
Audiences: Everyone Is Invited
Contact: Mischalgrace Diasanta
-
Epstein Institute Seminar, ISE 651
.jpg)
Mon, Mar 05, 2018 @ 01:00 PM - 02:00 PM
Daniel J. Epstein Department of Industrial and Systems Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Bodhisattva Sen, Associate Professor, Columbia University
Talk Title: Nonparametric Convex Regression
Host: Prof. Jong-Shi Pang
More Information: March 5, 2018.pdf
Location: Ethel Percy Andrus Gerontology Center (GER) - 206
Audiences: Everyone Is Invited
Contact: Grace Owh
-
Biomedical Engineering Department Guest Speaker
Mon, Mar 05, 2018 @ 01:00 PM - 02:00 PM
Alfred E. Mann Department of Biomedical Engineering
Conferences, Lectures, & Seminars
Speaker: Henrik Jorntell, PhD,
Talk Title: Brain microcircuitry analysis in vivo for novel solutions in neuroengineering and biorobotics
Abstract: The talk will summarize findings and theories originating from in vivo intracellular recordings of a wide set of neocortical and subcortical neurons made in my lab during the last decade. Our focus has been to clarify the internal organization and physiology of brain microcircuitry, which we believe are important to explain and reverse-engineer multiple aspects of brain function. Our analysis started out with the cerebellum, whose role in motor control depends critically on the functions of the spinocerebellar systems and thereby the spinal cord circuitry, where we also made recordings. By combining this information, we also developed a theory for the circuitry-level organization of somatic motor control. A separate, but related, analysis was on the representation of haptic information in the cuneate nucleus of the brainstem. In contrast to classical reductionist approaches, where skin sensor information is considered represented in a pixel-wise fashion, our analysis focused on more natural forms of mechanical interactions and suggested a very different scheme of integration of haptic information. Our current work is focused on neocortical neurons, where we again move away from classical reductionist thinking and instead consider their role in forming the network and the functions that are made possible with that change of viewing angle. Altogether, these insights have made us steer away from the predominating sparse coding / grandmother neuron inspired theories of brain function. Instead, we believe brain operation is based on kernel- based representations residing across large populations of neurons -“ the advantages are that it allows for richer representation and generalization of learning to novel contexts, which together provides for more versatile system behavior. From this research stems multiple principles applicable to novel approaches in neuroengineering and biorobotics.
Host: Francisco Valero-Cuevas, PhD
Location: Corwin D. Denney Research Center (DRB) - 145/145A
Audiences: Everyone Is Invited
Contact: Mischalgrace Diasanta
.jpg)