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Events for January 22, 2020

  • Meet USC: Admission Presentation, Campus Tour, and Engineering Talk

    Wed, Jan 22, 2020

    Viterbi School of Engineering Undergraduate Admission

    Workshops & Infosessions

    This half day program is designed for prospective freshmen (HS seniors and younger) 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!

    Register Here

    Location: Ronald Tutor Campus Center (TCC) -

    Audiences: Everyone Is Invited

    Contact: Viterbi Admission

  • Computer Science General Faculty Meeting

    Wed, Jan 22, 2020 @ 12:00 PM - 02:00 PM

    Computer Science

    Receptions & Special Events

    Bi-Weekly regular faculty meeting for invited full-time Computer Science faculty only. Event details emailed directly to attendees.

    Location: Ronald Tutor Hall of Engineering (RTH) - 526

    Audiences: Invited Faculty Only

    Contact: Assistant to CS chair

  • Resume Lab

    Wed, Jan 22, 2020 @ 01:00 PM - 02:00 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions

    Work on your resume in the presence of a career advisor to get tips on the spot.

    Remember to bring your laptop!

    For more information about Labs & Open Forums, please visit viterbicareers.usc.edu/workshops.

    Location: Ronald Tutor Hall of Engineering (RTH) - 211

    Audiences: All Viterbi Students

    Contact: RTH 218 Viterbi Career Connections

  • Center for Cyber-Physical Systems and Internet of Things and Ming Hsieh Institute Seminar

    Wed, Jan 22, 2020 @ 02:00 PM - 03:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars

    Speaker: Dimitra Panagou, Aerospace Engineering Department, University of Michigan

    Talk Title: Control Synthesis Under Spatiotemporal Specifications

    Series: Center for Cyber-Physical Systems and Internet of Things

    Abstract: Planning and control for multi-agent systems has been a popular topic of research, with applications in numerous real-world autonomous systems. Despite significant progress over the years, challenges such as constraints (in terms of state and time specifications), malicious or faulty information, environmental uncertainty and scalability are still open. In this talk, I will present some of our recent results and ongoing work on a Prescribed-Time Control Barrier Functions framework, where the barriers and underlying controllers meet state and time constraints. The framework builds upon the notions of finite-time and fixed-time stability, and redefines the standard control barrier functions to enable control synthesis that meets spatiotemporal specifications. The efficacy of the approach is illustrated via a spatiotemporal motion planning scenario.

    Biography: Dimitra Panagou received the Diploma and PhD degrees in Mechanical Engineering from the National Technical University of Athens, Greece, in 2006 and 2012, respectively. Since September 2014 she has been an Assistant Professor with the Department of Aerospace Engineering, University of Michigan. Prior to joining the University of Michigan, she was a postdoctoral research associate with the Coordinated Science Laboratory, University of Illinois, Urbana-Champaign (2012-2014), a visiting research scholar with the GRASP Lab, University of Pennsylvania (June 2013, fall 2010) and a visiting research scholar with the University of Delaware, Mechanical Engineering Department (spring 2009).

    Dr. Panagou's research program emphasizes in the exploration, development, and implementation of control and estimation methods in order to address real-world problems via provably correct solutions. Her research spans the areas of nonlinear systems and control; multi-agent systems and networks; motion and path planning; human-robot interaction; navigation, guidance, and control of aerospace vehicles. She is particularly interested in the development of provably correct methods for the safe and secure (resilient) operation of autonomous systems in complex missions, with applications in robot/sensor networks and multi-vehicle systems (ground, marine, aerial, space). Dr. Panagou is a recipient of a NASA Early Career Faculty Award, of an AFOSR Young Investigator Award, and a Senior Member of the IEEE and the AIAA. More details: http://www-personal.umich.edu/~dpanagou/research/index.html

    Host: Paul Bogdan, pbogdan@usc.edu

    Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132

    Audiences: Everyone Is Invited

    Contact: Talyia White

  • AME Seminar

    Wed, Jan 22, 2020 @ 03:30 PM - 04:30 PM

    Aerospace and Mechanical Engineering

    Conferences, Lectures, & Seminars

    Speaker: Roger Ghanem, USC

    Talk Title: Probabilistic Learning on Manifolds: The Small Data Challenge

    Abstract: As the pace of technological innovation and scientific discovery continues to grow, so does the interest in accelerating their integration. We are thus, increasingly, faced with the task of product development without the benefit of hindsight or historical failures. Examples of this evolving paradigm include new materials and novel configurations of complicated systems with complex behavior. This challenge is exacerbated by the growing interactions between technological and socio-economic systems where failure of a technological component can have implications on social trends and public policy, thus highlighting the need to characterize extreme events both for each component and at the system level. The standard paradigm of mapping knowledge into engineered systems where new systems are essentially construed as perturbations of older systems is not equipped for these emerging requirements. Recent approaches under the general heading of Machine Learning (ML) are motivated by the explosion in sensing technologies. Fundamental advances in these ML methods are being realized at the interface of data science and physics constraints.

    In this talk I will describe a recent effort within my group along these ML lines. I will focus on one particular approach, the Probabilistic Learning on Manifolds (PMoL), which is relevant under conditions of small data. This approach aims to augment a (small) training dataset with realizations that share with it some key features making these realizations credible surrogates of the original data. These features consist of 1) co-location on a manifold, and 2) statistical consistency. Thus as a first step, we associated a manifold with the training set, that we believe represents all the fundamental constraints (such as physics). We rely on diffusion maps constructs to delineate the manifold. Construed as fluctuating within this manifold, the training dataset is statistically more significant. As a second step, we generate samples on the manifold that have the same probability distribution as the training set. To this end, we construct a projected Ito equation whose invariant measure is that of the training set, and whose samples are constrained to the manifold.

    I will show how the above ideas are used as building blocks in a scramjet optimization problem and the design of a digital twin for a structural composite.

    Host: AME Department

    More Info: https://ame.usc.edu/seminars/

    Location: James H. Zumberge Hall Of Science (ZHS) - 159

    Audiences: Everyone Is Invited

    Contact: Tessa Yao

  • CAIS Seminar: Nikos Trichakis (MIT) - Data-driven Methods to Improve Organ Allocation for Transplantation

    Wed, Jan 22, 2020 @ 04:15 PM - 05:15 PM

    Computer Science

    Conferences, Lectures, & Seminars

    Speaker: Nikos Trichakis, Massachusetts Institute of Technology

    Talk Title: Data-driven Methods to Improve Organ Allocation for Transplantation

    Series: USC Center for Artificial Intelligence in Society (CAIS) Seminar Series

    Abstract: Current organ distribution and allocation policies have resulted in persistent disparities in access to donated organs for transplantation across different waitlisted candidates based on their geographic location, sex, and/or disease. We discuss a novel optimization scheme that leverages machine learning and simulation techniques to devise allocation policies that could alleviate these disparities and allow for a more efficient use of donated organs in the United States. We find that our proposed allocation policies could provide substantial waitlist mortality reduction (of the order of 20% for end-stage liver disease patients), while providing a more equitable organ access in comparison with other proposals.

    This lecture satisfies requirements for CSCI 591: Research Colloquium.

    Biography: Nikos Trichakis is an Associate Professor of Operations Management at the MIT Sloan School of Management. His research interests include optimization under uncertainty, data-driven optimization and analytics, with application in healthcare, supply chain management, and finance. Trichakis is also interested in the interplay of fairness and efficiency in resource allocation problems and operations, and the inherent tradeoffs that arise in balancing these objectives.

    Host: USC Center for Artificial Intelligence in Society (CAIS)

    Location: Henry Salvatori Computer Science Center (SAL) - 101

    Audiences: Everyone Is Invited

    Contact: Computer Science Department

  • Engineering Honors Program Information Session 2

    Wed, Jan 22, 2020 @ 05:00 PM - 06:00 PM

    Viterbi School of Engineering Student Affairs

    Workshops & Infosessions

    Interested in becoming part of the W.V.T. Rusch Engineering Honors Program? If so, please join the honors program faculty as they present information on the Engineering Honors Program. Come learn about the research and innovation track opportunities. Refreshments will be served. We look forward to seeing you there!

    Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132

    Audiences: Everyone Is Invited

    Contact: Viterbi Undergraduate Programs