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Events for October 30, 2017

  • Repeating EventMeet USC: Admission Presentation, Campus Tour, and Engineering Talk

    Mon, Oct 30, 2017

    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 Freshmen & Family Members

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    Contact: Viterbi Admission

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  • JingChi Corporation Info Session

    Mon, Oct 30, 2017 @ 05:30 AM - 08:00 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions

    JingChi is a mobility company powered by AI technology. We are creating an innovative mobility ecosystem to transform every single trip to be safe, efficient, cost-effective and entertaining. We have about 50 employees right now including over 40 software engineers all with strong background and top coding skills. For now we have such job openings: Entry-level Software Engineer, Sensor Fusion Engineer, Motion Planning Engineer, Radar Perception Engineer, Camera Perception Engineer, LiDAR Perception Engineer, as well as Mechanical Engineer. 4-5 of our team members will be in the event including 2 recruiters and 2-3 engineers. They will be talking about the team's mission and goal as well as what kind of people we are looking for.

    Location: SGM 101

    Audiences: Everyone Is Invited

    Contact: RTH 218 Viterbi Career Connections

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  • Seminars in Biomedical Engineering

    Mon, Oct 30, 2017 @ 12:30 PM - 01:50 PM

    Alfred E. Mann Department of Biomedical Engineering

    Conferences, Lectures, & Seminars

    Speaker: Chuck Li (Alumnus, USC BME MS program), Senior Engineer, Research & Automation Technologies, Amgen

    Talk Title: Engineering solutions in drug discovery-”how automation and innovation improve efficiency and enable better science

    Host: Stacey Finley, PhD

    Location: Olin Hall of Engineering (OHE) - 122

    Audiences: Everyone Is Invited

    Contact: Mischalgrace Diasanta

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  • Center for Systems and Control (CSC@USC) and Ming Hsieh Institute for Electrical Engineering

    Center for Systems and Control (CSC@USC) and Ming Hsieh Institute for Electrical Engineering

    Mon, Oct 30, 2017 @ 02:00 PM - 03:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars

    Speaker: Anil Aswani, University of California, Berkeley

    Talk Title: Making Robust Decisions from Data

    Series: Fall 2017 Joint CSC@USC/CommNetS-MHI Seminar Series

    Abstract: Though machine learning has found success in decision-making contexts, these methods are fragile to model mismatch and malicious interference. This is a major impediment to the deployment of automated decision-making in safety-critical systems like those found in healthcare or physical infrastructure. This talk describes three methods we have developed for robust decision-making in different scenarios. The first is a framework for combining robust control with machine learning, and applications to energy efficiency and robotics are highlighted. The second is algorithms to solve inverse optimization (and inverse reinforcement learning) with noisy data. This problem arises when estimating utility functions or modeling human-automation systems, and we show it is NP-hard and that existing approaches are statistically inconsistent. We develop a polynomial time algorithm that is asymptotically optimal as more data is collected. Then we discuss applications of our inverse optimization approach to a clinical trial on personalized goal-setting through smartphone apps to increase physical activity, and to studying an incentive design problem in the Medicare Shared Savings Program where we show that an investment sharing plan could potentially save Medicare an additional $85 million per year. The third is an approach for bandit models where repeated application of an action causes habituation and a decrease of that action's rewards, while refraining from an action causes recovery and an increase of that action's awards. Though such problems are PSPACE-complete, we define a class of models called ROGUE bandits for which we can construct policies that achieve logarithmic regret. We describe an application of ROGUE bandits to a personalized healthcare problem of choosing an optimal sequence of daily messages to encourage an individual to increase their physical activity.

    Biography: Anil Aswani is an Assistant Professor in Industrial Engineering and Operations Research (IEOR) at UC Berkeley. He received his B.S. in Electrical Engineering from the University of Michigan in 2005, M.S. in Electrical Engineering and Computer Sciences (EECS) from UC Berkeley in 2007, and Ph.D. in EECS from UC Berkeley in 2010. He received a Hellman Fellowship for his research on food insecurity, the Leon O. Chua award from Berkeley for outstanding achievement in an area of nonlinear science, and a William Pierskalla Runner-Up Award from the INFORMS Health Applications Society. His research interests include data-driven decision making, with particular emphasis on addressing inefficiencies and inequities in health systems and physical infrastructure.

    Host: Insoon Yang, insoonya@usc.edu

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

    Audiences: Everyone Is Invited

    Contact: Gerrielyn Ramos

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