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Events for November 07, 2017

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

    Tue, Nov 07, 2017 @ 02:00 PM - 03:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars

    Speaker: Francesco Bullo, University of California, Santa Barbara

    Talk Title: Network Systems and Kuramoto Oscillators

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

    Abstract: Network systems are mathematical models for the study of cooperation,
    propagation, synchronization and other dynamical phenomena that arise
    among interconnected agents. Network systems are widespread in science
    as fundamental modeling tools. They also play a key growing role in
    technology, e.g., in the design of power grids, cooperative robotic
    behaviors and distributed computing algorithms. Their study pervades
    applied mathematics.

    This talk will review established and emerging frameworks for
    modeling, analysis and design of network systems. I will survey the
    available comprehensive theory for linear network systems and then
    highlight selected nonlinear concepts. Next, I will focus on recent
    developments on the analysis of security and transmission capacity in
    power grids. I will review the Kuramoto model of coupled oscillators
    and present recent results on its synchronization behavior.

    Biography: Francesco Bullo is a Professor with the Mechanical
    Engineering Department and the Center for Control, Dynamical Systems
    and Computation at the University of California, Santa Barbara. He was
    previously associated with the University of Padova, the California
    Institute of Technology, and the University of Illinois. His research
    interests focus on network systems and distributed control with
    application to robotic coordination, power grids and social
    networks. He is the coauthor of \"Geometric Control of Mechanical
    Systems\" (Springer, 2004) and \"Distributed Control of Robotic
    Networks\" (Princeton, 2009); his forthcoming \"Lectures on Network
    Systems\" is available on his website. He received best paper awards
    for his work in IEEE Control Systems, Automatica, SIAM Journal on
    Control and Optimization, IEEE Transactions on Circuits and Systems,
    and IEEE Transactions on Control of Network Systems. He is a Fellow of
    IEEE and IFAC. He has served on the editorial boards of IEEE, SIAM,
    and ESAIM journals, and will serve as IEEE CSS President in 2018.

    Host: Ketan Savla, ksavla@usc.edu

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

    Audiences: Everyone Is Invited

    Contact: Gerrielyn Ramos

  • Epstein Institute Seminar, ISE 651

    Tue, Nov 07, 2017 @ 03:30 PM - 04:50 PM

    Daniel J. Epstein Department of Industrial and Systems Engineering

    Conferences, Lectures, & Seminars

    Speaker: Dr. Daniel Bienstock, Professor, Columbia University

    Talk Title: Using Robust Optimization to Incorporate Renewables in Electric Power Generation

    Host: Prof. Jong-Shi Pang

    More Information: November 7, 2017.pdf

    Location: Ethel Percy Andrus Gerontology Center (GER) - GER 206

    Audiences: Everyone Is Invited

    Contact: Grace Owh

  • CS Colloquium: Danqi Chen (Stanford) - From Reading Comprehension to Open-Domain Question Answering

    Tue, Nov 07, 2017 @ 03:30 PM - 04:50 PM

    Thomas Lord Department of Computer Science

    Conferences, Lectures, & Seminars

    Speaker: Danqi Chen, Stanford

    Talk Title: From Reading Comprehension to Open-Domain Question Answering

    Series: CS Colloquium

    Abstract: This lecture satisfies requirements for CSCI 591: Research Colloquium.

    Enabling a computer to understand a document so that it can answer comprehension questions is a central, yet unsolved, goal of NLP. This task of reading comprehension (i.e., question answering over a passage of text) has received a resurgence of interest, due to the creation of large-scale datasets and well-designed neural network models.
    I will talk about how we build simple and effective models for advancing a machine\'s ability at reading comprehension. I\'ll focus on explaining the logical structure behind these neural architectures and discussing the capacities of these models as well as their limits.

    Next I\'ll talk about how we combine state-of-the-art reading comprehension systems with traditional IR components to build a new generation of open-domain question answering systems. Our system is much simpler than traditional QA systems and able to answer questions efficiently over the full English Wikipedia and shows great promise on multiple QA benchmarks.

    Biography: Danqi Chen is a Ph.D. candidate in Computer Science at Stanford University, advised by Christopher Manning. She works on deep learning for natural language processing, and is particularly interested in the intersection between text understanding and knowledge representation/reasoning. Her research spans from machine comprehension/question answering to knowledge base construction and syntactic parsing, with an emphasis on building principled yet highly effective models. She is a recipient of a Facebook Fellowship, a Microsoft Research Women\'s Fellowship and outstanding paper awards at ACL\'16 and EMNLP\'17. Previously, she received her B.S. with honors from Tsinghua University in 2012.

    Host: Fei Sha

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

    Audiences: Everyone Is Invited

    Contact: Computer Science Department

  • Find More Jobs & Internships: Viterbi Career Gateway Workshop

    Tue, Nov 07, 2017 @ 04:30 PM - 05:30 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions

    Take part in a live tutorial to help you navigate Viterbi Career Gateway, a powerful job & internship search tool available ONLY to Viterbi students.

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

    Audiences: All Viterbi Students

    Contact: RTH 218 Viterbi Career Connections