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Events for April 02, 2015

  • CS Colloquium: Guy van den Broeck (KU Leuven) - Scalable Inference and Learning for High-Level Probabilistic Models

    Thu, Apr 02, 2015 @ 09:45 AM - 10:50 AM

    Thomas Lord Department of Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Guy van den Broeck, KU Leuven

    Talk Title: Scalable Inference and Learning for High-Level Probabilistic Models

    Series: CS Colloquium

    Abstract: Probabilistic graphical models are pervasive in AI and machine learning. A recent push, however, is towards more high-level representations of uncertainty, such as probabilistic programs, probabilistic databases, and statistical relational models. This move is akin to going from hardware circuits to a full-fledged programming language, and poses key challenges for inference and learning. For instance, we encounter a fundamental limitation of classical learning algorithms: they make strong independence assumptions about the entities in the data (e.g., images, web pages, patients, etc.). These assumptions fail to hold in a global view of the data, where all entities are related. We also encounter a limitation of existing reasoning algorithms, which fail to scale to large, densely connected graphical models, consisting of millions of interrelated entities.

    In this talk, I present my research on efficient algorithms for high-level probabilistic models, called lifted inference and learning algorithms. I begin by introducing the key principles behind exact lifted inference, namely to exploit symmetry and exchangeability in the model. Next, I discuss the strengths and limitations of lifting. Building on results from database theory and counting complexity, I identify classes of tractable models, and classes where high-level reasoning is fundamentally hard. I conclude by showing the practical embodiment of these ideas, in the form of approximate inference and learning algorithms that scale up to big data and big models.

    The lecture will be available to stream HERE

    Biography: Guy Van den Broeck graduated summa cum laude with a Ph.D. in Computer Science from KU Leuven, Belgium, in 2013. He was a postdoctoral researcher at UCLA and KU Leuven. His research interests are broadly in machine learning, artificial intelligence, knowledge representation and reasoning, and statistical relational learning. His work was awarded the ECCAI AI Dissertation Award 2014, Scientific Prize IBM Belgium for Informatics 2014, and Alcatel-Lucent Innovation Award 2009. He is the recipient of the best student paper award at ILP 2011 and a best paper honorable mention at AAAI 2014. For more information, see http://guyvandenbroeck.com

    Host: Computer Science Department

    Webcast: https://bluejeans.com/442226528

    Location: Olin Hall of Engineering (OHE) - 132

    WebCast Link: https://bluejeans.com/442226528

    Audiences: Everyone Is Invited

    Contact: Assistant to CS chair

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  • Trustworthy Integrated Circuit Design

    Thu, Apr 02, 2015 @ 10:00 AM - 11:30 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Jeyavijayan (JV) Rajendran, New York University

    Talk Title: Trustworthy Integrated Circuit Design

    Abstract: Designers use third-party intellectual property (IP) cores and outsource various steps in their integrated circuit (IC) design and manufacturing flow. As a result, security vulnerabilities have been emerging, forcing IC designers and end users to reevaluate their trust in ICs. If an attacker gets hold of an unprotected IC, attacks such as reverse engineering the IC and piracy are possible. Similarly, if an attacker gets hold of an unprotected design, insertion of malicious circuits in the design, and IP piracy are possible.
To thwart these and similar attacks, we have developed three defenses: IC camouflaging, logic encryption, and split manufacturing. IC camouflaging modifies the layout of certain gates in the IC to deceive attackers into obtaining an incorrect netlist, thereby, preventing reverse engineering by a malicious user. Logic encryption implements a built-in locking mechanism on ICs to prevent reverse engineering and IP piracy by a malicious foundry and user. Split manufacturing splits the layout and manufactures different metal layers in two separate foundries to prevent reverse engineering and piracy by a malicious foundry. We then describe how these techniques are enhanced by using existing IC testing principles, thereby leading to trustworthy ICs.

    Biography: Jeyavijayan (JV) Rajendran is a PhD Candidate in the Electrical and Computer Engineering Department at New York University. His research interests include hardware security and emerging technologies.

    He has won three Student Paper Awards (ACM CCS 2013, IEEE DFTS 2013, IEEE VLSI Design 2012); four ACM Student Research Competition Awards (DAC 2012, ICCAD 2013, DAC 2014, and the Grand Finals 2013); Service Recognition Award from Intel; Third place at Kaspersky American Cup, 2011; and Myron M. Rosenthal Award for Best Academic Performance in M.S. from NYU, 2011.

    He organizes the annual Embedded Security Challenge, a red-team/blue-team hardware security competition. He is a student member of IEEE and ACM.

    Website: wp.nyu.edu/jv


    Host: Peter Beerel, pabeerel@usc.edu, EEB 350, x04481

    More Information: Rajendran Seminar Announcement.pdf

    Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248

    Audiences: Everyone Is Invited

    Contact: Gloria Halfacre

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  • EE-EP Seminar

    Thu, Apr 02, 2015 @ 10:30 AM - 12:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Mohamed Mohamed, University of Illinois at Urbana-Champaign

    Talk Title: A Coupled Multiphysics Approach to Modeling Heating in Semiconductor Devices

    Abstract: It is estimated that world energy consumption will increase by over 40% from 2012 to 2035. Meeting this energy demand while minimizing the proliferation of greenhouse gases and other toxins is one of society’s key challenges. In recent years, thermal management has emerged as the ultimate bottleneck for improving the performance of consumer/commercial electronics. Controlling device temperature, as well as harnessing waste heat, is crucial to sustaining electronic devices with longer battery life and performance, in addition to potentially reducing our demand on power plants by efficiently using generated electricity. Without proper thermal management, inordinate power dissipation can potentially halt integrated circuit functionality.

    For this reason, the development of state-of-the-art simulation models that self-consistently couple the electronic and phonon transport is essential in creating a cycle that pushes designs to have lower carbon footprints and creating environmentally conscious electronics that minimize waste. In this talk, I will highlight my work on electron and thermal transport and its relevance to nanoelectronic devices and materials. We will particularly address issues ranging from transport and modeling issues to power dissipation and energy harvesting. We will draw examples ranging from multi-gate FETs, SONOS memories, tunneling FETs and thermoelectric devices and suggest new directions for improving device efficiency through device and material engineering.


    Biography: Mohamed Mohamed received the Ph.D. degree in electrical engineering from the University of Illinois at Urbana-Champaign, Urbana, IL, USA, in 2012. He served as a Research Scientist and Visiting Lecturer with the University of Illinois at Urbana-Champaign. His doctoral dissertation work was performed in the Computational Multiscale Nanostructures group directed by Professor Umberto Ravaioli and has demonstrated self-heating effects in nanoscale silicon MOSFETs through coupled electro-thermal Monte Carlo simulation. His current research interest is primarily on the theory, design, simulation and characterization of energy efficient devices, materials and circuits. He also has a great interest in cyber education and in exploring innovative ways to enhance learning, education, and research. He has developed numerous simulation tools suitable for both research and classroom use hosted on the nanoHUB. He is the recipient of the Ernest Reid Fellowship Award in Electrical Engineering, the Graduate College Dean Fellowship and was listed several times in the UIUC List of Teachers Ranked Excellent.

    Host: EE-Electrophysics

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

    Audiences: Everyone Is Invited

    Contact: Marilyn Poplawski

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  • WIE PhD Student Coffee Social

    Thu, Apr 02, 2015 @ 03:00 PM - 04:00 PM

    Viterbi School of Engineering Student Affairs

    Receptions & Special Events


    Women in Engineering would like to invite you to a monthly coffee hour for our PhD women. Coffee, tea, and cookies will be provided. This is a great a time for you to get to know fellow PhD women in Viterbi. Stop by to hang out with your fellow women engineers, take a break from work, and form some new friendships.

    RSVP (optional) here.

    We look forward to seeing you there!

    Location: Robert Glen Rapp Engineering Research Building (RRB) - 208

    Audiences: Undergrad

    Contact: Women in Engineering

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  • Big Data and Data Science: Some Hype but Real Opportunities

    Big Data and Data Science: Some Hype but Real Opportunities

    Thu, Apr 02, 2015 @ 05:00 PM - 06:00 PM

    Thomas Lord Department of Computer Science

    University Calendar


    Big Data and Data Science: Some Hype but Real Opportunities

    IMSC Seminar – Host: Cyrus Shahabi
    April 2 - 5:00-6:00pm
    SAL-101

    Speaker: Michael Franklin, UC Berkeley Computer Science

    Abstract
    Data is all the rage across industry and across campuses. While it may be temping to dismiss the buzz as just another spin of the hype cycle, there are substantial shifts and realignments underway that are fundamentally changing how Computer Science, Statistics and virtually all subject areas will be taught, researched, and perceived as disciplines. In this talk I will give my personal perspectives on this new landscape based on experiences organizing a large, industry-engaged academic Computer Science research project (the AMPLab), in helping to establish a campus-wide Data Science research initiative (the Berkeley Institute for Data Science), and my participation on a campus task force charged with mapping out Data Science Education for all undergraduates at Berkeley. I will make the case that there are real opportunities across campus in both education and research, and that Data Science should be viewed as an emerging discipline in its own right.

    Bio
    Michael Franklin is the Thomas M. Siebel Professor of Computer Science and Chair of the Computer Science Division at the University of California, Berkeley. Prof. Franklin is also the Director of the Algorithms, Machines, and People Laboratory (AMPLab) at UC Berkeley. The AMPLab currently works with 27 industrial sponsors including founding sponsors Amazon Web Services, Google, and SAP. AMPLab is well-known for creating a number of popular systems in the Open Source Big Data ecosystem including Spark, Mesos, GraphX and MLlib, all parts of the Berkeley Data Analytics Stack (BDAS). Prof. Franklin is a co-PI and Executive Committee member for the Berkeley Institute for Data Science, part of a multi-campus initiative to advance Data Science Environments. He is an ACM Fellow, a two-time winner of the ACM SIGMOD "Test of Time" award, has several "Best Paper" awards and two CACM Research Highlights selections, and is recipient of the outstanding Advisor Award from the Computer Science Graduate Student Association at Berkeley.

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

    WebCast Link: https://bluejeans.com/952662854

    Audiences: Everyone Is Invited

    Contact: Lizsl De Leon

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  • Viterbi Spotlight Series- Civil and Environmental Engineering

    Thu, Apr 02, 2015 @ 07:00 PM - 08:00 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    Viterbi Spotlight Series is your opportunity to connect with USC alumni and industry professionals that have been in your shoes and will share their experiences on how they got to where they are in their career.

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

    Audiences: Everyone Is Invited

    Contact: RTH 218 Viterbi Career Services

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  • Viterbi Civil and Environmental Engineering Spotlight

    Thu, Apr 02, 2015 @ 07:00 PM - 08:00 PM

    Viterbi School of Engineering Career Connections, Viterbi School of Engineering Student Affairs

    Workshops & Infosessions


    ALumni panelists share their undergrad academic and professional experiences.

    To register, click here https://myviterbi.usc.edu/vasa/?PostingID=1234567968.

    Location: 211

    Audiences: Undergrad

    Contact: Diane Yoon

    Event Link: https://myviterbi.usc.edu/vasa/?PostingID=1234567968

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  • Viterbi Civil and Environmental Engineering Spotlight

    Thu, Apr 02, 2015 @ 07:00 PM - 08:00 PM

    Viterbi School of Engineering Career Connections, Viterbi School of Engineering Student Affairs

    Workshops & Infosessions


    ALumni panelists share their undergrad academic and professional experiences.

    To register, click here https://myviterbi.usc.edu/vasa/?PostingID=1234567969.

    Location: 211

    Audiences: Undergrad

    Contact: Diane Yoon

    Event Link: https://myviterbi.usc.edu/vasa/?PostingID=1234567969

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