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Events for August 29, 2012
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Meet USC: Admission Presentation, Campus Tour, & Engineering Talk
Wed, Aug 29, 2012
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 https://esdweb.esd.usc.edu/unresrsvp/MeetUSC.aspx 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: Prospective Freshmen Students and Families
Contact: Viterbi Admission
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CE Ph.D. Oral Dissertation Defense
Wed, Aug 29, 2012 @ 10:00 AM - 12:00 PM
Sonny Astani Department of Civil and Environmental Engineering
Conferences, Lectures, & Seminars
Speaker: Hadi Meidani, CE Ph.D. Candidate
Talk Title: Uncertainty Management for Complex Systems of Systems. Applications to the Future Smart Grid
Abstract: Today, many of the infrastructures are composed of several coupled sub-systems, many of which are by themselves complex couplings introduce yet more complexities which pose the system
operators with several challenging issues. In many of these
infrastructure systems, uncertainty is an intrinsic features, in several others it is present as a mathematical abstraction
referring to our ignorance due either to the unknown governing physics or to missing information. A major challenge is the predictability of such complex systems of systems under these uncertainties and also the quantification of confidence in the prediction. A predictive science for these systems should (a) assess the uncertainties; that is, to identify and characterize them in the input variables or model parameters; and (b) predict their impacts on the performance of the system, which will eventually assist decision and policy making processes. The study in this dissertation aims to contribute to these two pillars of a successful predictive model for complex infrastructure systems. We have focused on the uncertainty management of the future Smart Grid, as an example of a complex system of systems. The future Smart Grid will be a composition of interacting systems, including the power grid, weather system, social networks, communication networks, etc. The scope of this dissertation encompasses the challenges induced by the uncertainties in the demand and supply sides of the future Smart Grid. Models for the characterization of these uncertainties have been proposed and their impacts on performance metrics of the overall system have been quantified.
Location: Kaprielian Hall (KAP) - 209
Audiences: Everyone Is Invited
Contact: Evangeline Reyes
