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SUNMONTUEWEDTHUFRISAT
Events for March 27, 2015
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Meet USC: Admission Presentation, Campus Tour, & Engineering TalkFri, Mar 27, 2015
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. During the engineering session we will discuss the curriculum, research opportunities, hands-on projects, entrepreneurial support programs, and other aspects of the engineering 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 make sure to check availability and register online for the session you wish to attend. Also, remember to list an Engineering major as your "intended major" on the webform!Location: Ronald Tutor Campus Center (TCC) - USC Admission Office
Audiences: Prospective Undergrads and Families
Contact: Viterbi Admission
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USC PSOC Seminar Series - Dr. Min Yu
Fri, Mar 27, 2015 @ 11:45 AM - 01:00 PM
Alfred E. Mann Department of Biomedical Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Min Yu, MD/PhD, USC - Keck School of Medicine
Talk Title: Circulating tumor cells as liquid biopsies for metastasis
Abstract: Circulating tumor cells (CTCs), shed from primary and metastatic tumors into blood stream, contain potential rare cancer stem cells or metastasis-initiating cells. We have analyzed characteristics of CTCs in both mouse cancer models and human cancer patients. Previously, we have discovered an important WNT2-TAK1 pathway in promoting pancreatic cancer metastasis via enhanced resistance to anoikis, and demonstrated evidence of epithelial mesenchymal transition (EMT) in CTCs isolated from breast cancer patients. We have recently developed in vitro culture of CTCs, enabling in depth analysis of their molecular properties using next-generation sequencing and pilot drug sensitivity testing. In several CTC lines, inoculation of 20,000 cells into immunodeficient mice was sufficient for tumorigenesis. Thus, patient-derived CTC lines allow detailed interrogation of cancer stem cell properties at single cell level and its derived clonal populations, potentially contributing to the development of targeted therapies against the metastasis initiating cancer stem cells.
Host: USC PSOC - Dr. Mitchell Gross
Location: Clinical Science Center (CSC) - Harkness Auditorium, 2nd Floor
Audiences: Everyone Is Invited
Contact: Rosa Rangel
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W.V.T. Rusch Engineering Honors Colloquium
Fri, Mar 27, 2015 @ 01:00 PM - 02:00 PM
USC Viterbi School of Engineering, Viterbi School of Engineering Student Affairs
Conferences, Lectures, & Seminars
Speaker: Rustom Jehangir, Co-Founder and Engineer, BlueRobotics
Talk Title: Starting a Hardware Company
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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Integrated Systems Seminar
Fri, Mar 27, 2015 @ 03:00 PM - 04:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Hesaam Esfandyarpour, GenapSys Inc.
Talk Title: TBD
Series: Integrated Systems Seminar
Host: Hosted by Prof. Hossein Hashemi, Prof. Mike Chen, and Prof. Mahta Moghaddam Organized and hosted by Run Chen
More Info: http://mhi.usc.edu/events/event-details/?event_id=915368
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Elise Herrera-Green
Event Link: http://mhi.usc.edu/events/event-details/?event_id=915368
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Astani Civil and Environmental Engineering Ph.D. Seminar
Fri, Mar 27, 2015 @ 03:00 PM - 04:00 PM
Sonny Astani Department of Civil and Environmental Engineering
Conferences, Lectures, & Seminars
Speaker: Subhayan De and Simin Karvigh , Astani CEE Ph.D. Candidates
Talk Title: Efficient Bayesian Model Selection for Locally Nonlinear Systems incorporating Dynamic Measurements
Abstract: Subhayan De's abstract:
The modeling of a structural system is often complicated by the dynamic characterization of a component by competing families of models, also known as model classes, where the choice of a particular model class falls to the discretion of the researcher. Bayesian model selection can be used to help find the most plausible model class. For linear models, the computational effort for characterization of dynamic properties using natural frequencies and mode shapes, as well as Monte Carlo sampling method, is reasonably well understood. On the other hand, to characterize the dynamic behavior of nonlinear models, response time histories are needed, resulting in high computational cost even when most of the structure is linear and the nonlinear behavior is very localized.
In this study, the computational effort of Bayesian model selection is dramatically reduced in two ways: (1) using a more intelligent Monte Carlo sampling and (2) exploiting the local nature of the nonlinearities. The marginal likelihoods, which are the evidences of the model classes, are estimated with response time histories using ânested samplingâ (Skilling 2006), which samples more from regions with high likelihood values than regions with low likelihood regions. The localized nature of the nonlinearities in the dynamic system is exploited using an efficient response calculation algorithm (Gaurav et al. 2011) by transforming the system equations of motion to a low-order nonlinear Volterra integral equation (NVIE) that is solved numerically. This approach is demonstrated with numerical models of a base-isolated 11-story 2-bay 99-DOF superstructure on the hysteretic lead rubber bearing (LRB) isolators. Model selection is performed to choose from among six model classes: four linear (AASHTO, CALTRANS, JPWRI, modified AASHTO) and two nonlinear (Bouc-Wen, bilinear) models of the isolator, using simulated responses to historical earthquake records. The computational efficiency of the proposed approach is compared with a traditional ordinary differential equation solver (MATLABâs ode45) demonstrating speedup up to two orders of magnitude.
Location: Seeley G. Mudd Building (SGM) - 101
Audiences: Everyone Is Invited
Contact: Evangeline Reyes
