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Events for the 3rd week of April

  • HackForHealth - Cancer Hackathon

    Sun, Apr 09, 2017 @ 12:00 AM - 05:00 PM

    Thomas Lord Department of Computer Science

    Workshops & Infosessions


    Dear Trojan Family,

    In the spirit of the National Cancer Moonshot, The Kuhn Lab at USC is calling upon all Trojans to join to HackForHealth. Together we will spend a weekend building meaningful solutions to the problems that cancer patients and researchers face everyday. All are welcome, regardless of medical background or technical expertise.
    HackForHealth is a cancer-focused hackathon organized by the diverse team of researchers, physicians, students, and patients behind CancerBase - a digital tool for cancer patients to securely track and share their medical data, powering research into the progression and treatment of cancer. We hope that you can join us from April 7-9 to interact with members of the cancer community and hack together solutions to help them, whether it be an app, website, gadget, or sketch. Projects will be judged by representatives from the National Cancer Institute. The prizes include cash and internship opportunities.

    Register today and let's beat cancer together!

    www.hackforhealth.co

    To learn more about HackForHealth, please attended one of our information sessions:

    UPC: March 8th, 2017 - 6pm at THH 202
    HSC: March 15th, 2017 - 6pm at NRT LG 503

    More Information: H4Hposter final.pdf

    Audiences: Everyone Is Invited

    Contact: Ryan Rozan

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  • Seminars in Biomedical Engineering

    Mon, Apr 10, 2017 @ 12:30 PM - 01:50 PM

    Alfred E. Mann Department of Biomedical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Xiaoping Hu, PhD, UC Riverside

    Talk Title: MRI with PET Imaging

    Host: Qifa Zhou

    Location: Olin Hall of Engineering (OHE) - 122

    Audiences: Everyone Is Invited

    Contact: Mischalgrace Diasanta

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  • Emerging Trends Seminar Series

    Mon, Apr 10, 2017 @ 02:00 PM - 03:30 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: C.C. Jay Kuo, Dean's Professor of Electrical Engineering, Ming Hsieh Department of Electrical Engineering

    Talk Title: CNN as Guided Multi-layer RECOS Transform

    Series: Emerging Trends

    Abstract: There is a resurging interest in developing a neural network based solution to supervised machine learning in the last 5 years. In this talk, I will provide a theoretical foundation to the working principle of the convolutional neural network (CNN) from a signal processing viewpoint. To begin with, the RECOS transform is introduced as a basic building block for CNNs.

    The term RECOS is an acronym for REctified-COrrelations on a Sphere. It consists of two main concepts: data clustering on a sphere and rectification. Then, a CNN is interpreted as a network that implements the guided multilayer RECOS transform. Along this line, we first compare the traditional single-layer and modern multilayer signal analysis approaches. Then, we discuss how guidance is provided by data labels through back propagation in the training with an attempt to offer a smooth transition from weakly to heavily supervised learning. Finally, we show that a trained network can be greatly simplified in the testing stage, which demands only one bit representation for both filter weights and inputs. Several future research directions are pointed out at the end.

    Biography: Dr. C.C. Jay Kuo received his Ph.D. degree from the Massachusetts Institute of Technology in 1987. He is now with the University of Southern California (USC) as Director of the Media Communications Laboratory and Dean's Professor in Electrical Engineering, Systems. His research interests are in the areas of digital media processing, compression, communication and networking technologies. Dr. Kuo was the Editor in Chief for the IEEE Trans. on Information Forensics and Security from 2012 through 2014. He was the Editor in Chief for the Journal of Visual Communication and Image Representation from 1997 through 2011, and served as Editor for 10 other international journals.

    Dr. Kuo received the 1992 National Science Foundation Young Investigator (NYI) Award, the 1993 National Science Foundation Presidential Faculty Fellow (PFF) Award, the 2010 Electronic Imaging Scientist of the Year Award, the 2010-11 Fulbright-Nokia Distinguished Chair in Information and Communications Technologies, the 2011 Pan Wen Yuan Outstanding Research Award, the 2014 USC Northrop Grumman Excellence in Teaching Award, the 2016 USC Associates Award for Excellence in Teaching, the 2016 IEEE Computer Society Taylor L. Booth Education Award, the 2016 IEEE Circuits and Systems Society John Choma Education Award, the 2016 IS&T Raymond C. Bowman Award, and the 2017 IEEE Leon K. Kirchmayer Graduate Teaching Award. Dr. Kuo is a Fellow of AAAS, IEEE and SPIE. He has guided 140 students to their Ph.D. degrees and supervised 25 postdoctoral research fellows. Dr. Kuo is a co author of about 250 journal papers, 900 conference papers, 14 books and 30 patents.

    Host: Ming Hsieh Institute

    More Info: https://www.facebook.com/events/1444859602200671/

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

    Audiences: Everyone Is Invited

    Contact: Cathy Huang

    Event Link: https://www.facebook.com/events/1444859602200671/

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  • Center for Cyber-Physical Systems and Internet of Things and Ming Hsieh Institute for Electrical Engineering Joint Seminar Series on Cyber-Physical Systems

    Mon, Apr 10, 2017 @ 03:00 PM - 04:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Natalie Cheung , Intel

    Talk Title: Utilizing Drones to Create a New Nighttime Entertainment

    Abstract: Come learn how Intel is utilizing drones in a different way -“ to light up the sky in a choreographed aerial performance with the Intel Drone Light Show. You'll learn about the Intel Shooting Star Drone, the technology behind the show, and more.

    Biography: Natalie Cheung is the General Manager for the Drone Light Show in the UAV Group at Intel Corporation. She is responsible for establishing the drone light show business and growing the new segment. Cheung has led drone light show collaborations with customers that created activations across the globe - from the US, Germany, Mexico, Australia, and more.

    Prior to her current role, Cheung was the Drone Marketing Director. She was responsible for product launches, conferences and events, and building awareness within the drone segment. Cheung has also served as Drone Product Manager, Research Analyst for Intel CEO Brian Krzanich. Cheung joined Intel in 2011. She earned a bachelor's and master's degree in electrical engineering and computer science from Massachusetts Institute of Technology.


    Host: Paul Bogdan

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

    Audiences: Everyone Is Invited

    Contact: Estela Lopez

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  • FBI Information Session

    Mon, Apr 10, 2017 @ 06:30 PM - 08:00 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    Join this information session to learn about upcoming internships and career opportunities in the FBI!

    Location: Seeley G. Mudd Building (SGM) - 101

    Audiences: All Viterbi

    Contact: RTH 218 Viterbi Career Connections

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  • USC Stem Cell Seminar: Ellen Rothenberg, California Institute of Technology

    Tue, Apr 11, 2017 @ 11:00 AM - 12:00 PM

    Alfred E. Mann Department of Biomedical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Ellen Rothenberg, California Institute of Technology

    Talk Title: TBD

    Series: Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research at USC Distinguished Speakers Series

    Host: USC Stem Cell

    More Info: http://stemcell.usc.edu/events

    Webcast: http://keckmedia.usc.edu/stem-cell-seminar

    Location: Eli & Edythe Broad CIRM Center for Regenerative Medicine & Stem Cell Resch. (BCC) - First Floor Conference Room

    WebCast Link: http://keckmedia.usc.edu/stem-cell-seminar

    Audiences: Everyone Is Invited

    Contact: Cristy Lytal/USC Stem Cell

    Event Link: http://stemcell.usc.edu/events

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  • Epstein Seminar, ISE 651

    Tue, Apr 11, 2017 @ 03:30 PM - 04:50 PM

    Daniel J. Epstein Department of Industrial and Systems Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Ran Jin, Assistant Professor, Virginia Tech

    Talk Title: Smart Manufacturing Modeling with Functional Data

    Host: Prof. Qiang Huang

    More Information: April 11, 2017_Jin.pdf

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

    Audiences: Everyone Is Invited

    Contact: Grace Owh

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  • Big Data & Human Behavior Seminar Series: Justin Grimmer (Stanford University) - Exploratory and Confirmatory Causal Inference for High Dimensional Interventions

    Wed, Apr 12, 2017 @ 12:00 PM - 01:00 PM

    Thomas Lord Department of Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Justin Grimmer, Associate Professor of Political Science and Computer Science, Stanford University

    Talk Title: Exploratory and Confirmatory Causal Inference for High Dimensional Interventions

    Series: Big Data & Human Behavior Seminar Series

    Abstract: An extensive literature in computational social science examines how features of messages, advertisements, and other corpora affect individuals' decisions, but these analyses must specify the relevant features of the text before the experiment. Automated text analysis methods are able to discover features of text, but these methods cannot be used to obtain the estimates of causal effects-”the quantity of interest for applied researchers. We introduce a new experimental design and statistical model to simultaneously discover treatments in a corpora and estimate causal effects for these discovered treatments. We prove the conditions to identify the treatment effects of texts and introduce the supervised Indian Buffet process to discover those treatments. Our method enables us to discover treatments in a training set using a collection of texts and individuals' responses to those texts, and then estimate the effects of these interventions in a test set of new texts and survey respondents. We apply the model to an experiment about candidate biographies, recovering intuitive features of voters' decisions and revealing a penalty for lawyers and a bonus for military service.

    Biography: Justin Grimmer's research examines how representation occurs in American politics using new statistical methods. His first book Representational Style in Congress: What Legislators Say and Why It Matters (Cambridge University Press, 2013) shows how senators define the type of representation they provide constituents and how this affects constituents' evaluations and won the Fenno Prize from the legislative studies section. His second book The Impression of Influence: How Legislator Communication and Government Spending Cultivate a Personal Vote (Princeton University Press, with Sean J. Westwood and Solomon Messing) demonstrates how legislators ensure they receive credit for government actions. His work has appeared in the American Political Science Review, American Journal of Political Science, Journal of Politics, Political Analysis, Proceedings of the National Academy of Sciences, Regulation and Governance, and other journals.

    Host: Morteza Dehghani

    Location: BCI

    Audiences: Everyone Is Invited

    Contact: Assistant to CS chair

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  • MHI CommNetS Seminar

    Wed, Apr 12, 2017 @ 02:00 PM - 03:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Ian M. Mitchell, University of British Columbia

    Talk Title: Using model checking verifications online: Handling runtime state uncertainty, human-in-the-loop shared control and sampled data feedback

    Series: CommNetS

    Abstract: Recent advances in model checking algorithms for continuous state systems allow us to demonstrate the existence of safe control policies robust to model error for cyber-physical systems (CPS) of practical interest, such as shared control drones or wheelchairs, or automated delivery of anesthesia. However, these verification results are only relevant if we can implement those policies. In this talk I will discuss investigations into three challenges that arise when it comes time to synthesize a feedback control signal that will keep the system safe: Online state uncertainty, human-in-the-loop shared control for older adults with cognitive impairment, and the sampled data nature of that feedback control in typical cyber-physical systems.

    Biography: Ian M. Mitchell completed his doctoral work in engineering at Stanford University in 2002, spent a year as a postdoctoral researcher at the University of California at Berkeley, and is now an Associate Professor of Computer Science at the University of British Columbia. He is the author of the Toolbox of Level Set Methods, the first publicly available high accuracy implementation of solvers for dynamic implicit surfaces and the time dependent Hamilton-Jacobi equation that works in arbitrary dimension. His research interests include development of algorithms and software for nonlinear differential equations, formal verification, control and planning in cyber-physical and robotic systems, assistive technology and reproducible research.

    Host: Prof. Insoon Yang

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

    Audiences: Everyone Is Invited

    Contact: Annie Yu

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  • Aerospace & Mechanical Engineering Seminar

    Wed, Apr 12, 2017 @ 03:30 PM - 04:30 PM

    Aerospace and Mechanical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Jeff Eldredge, Professor, Mechanical & Aerospace Engineering Department, University of California at Los Angeles

    Talk Title: Low-Order Modeling of Agile Flight

    Abstract: The highly agile flight exhibited by many flying creatures has, for many years, been the promise for the next generation of flight vehicles. However, the reality still falls short, in part because such agility requires flight control strategies that work robustly in the regime of separated flows. This regime, generally avoided by human-engineered vehicles, is often exploited by airborne creatures in order to make rapid maneuvers or maintain tolerance to gusts. Recent control strategies based on flapping wings or managed separation over fixed wings have shown promise, but are limited to slow maneuvers because they rely on linearized and/or quasi-steady models of the aerodynamics, only effective at low frequencies or averaged over many flapping cycles. In this presentation, I will report on our recent progress in developing unsteady non-linear (vortex-based) models of separated flows. The premise is to construct a low-degree-of-freedom template model, with the simplest description of the flow that still contains the non-linear vortex-vortex and vortex-wing interactions. The model is then closed with empirical data from sensors. I will demonstrate progress on several canonical problems in two dimensions, and discuss our extensions to fully three-dimensional flows. I will also highlight some future directions of the work.

    Biography: Jeff Eldredge is a Professor in the Mechanical & Aerospace Engineering Department at UCLA. His research interests are in computational and theoretical studies of problems in fluid dynamics, including those in unsteady aerodynamics, bio-inspired locomotion, micro-particle manipulation, and biomedical and physiological flows. He has received the NSF CAREER Award and is an Associate Fellow of AIAA. Prior to starting at UCLA, Prof. Eldredge was a research associate at the University of Cambridge. He received his M.S and Ph.D. at Caltech and his B.S. at Cornell, all in mechanical engineering.

    Host: Department of Aerospace and Mechanical Engineering

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

    Location: Seaver Science Library (SSL) - 150

    Audiences: Everyone Is Invited

    Contact: Ashleen Knutsen

    Event Link: https://ame.usc.edu/about/seminars/

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  • 2017 Eberhardt Rechtin Lecture Keynote Event

    Thu, Apr 13, 2017 @ 03:30 PM - 06:00 PM

    Daniel J. Epstein Department of Industrial and Systems Engineering

    Receptions & Special Events


    Invention, Innovation, Entrepreneurship, 3D Printing
    Presented by Mr. Charles Hull, Co Founder and CTO, 3D Systems

    More Information: Rechtin Lecture 2017 flyer.pdf

    Location: USC Radisson Hotel, Center Ballroom

    Audiences: Everyone Is Invited

    Contact: Grace Owh

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  • Careers in the Gaming Industry Panel: Working at Global Companies

    Thu, Apr 13, 2017 @ 05:30 PM - 07:00 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    The panel is an opportunity for students to ask employers from global companies Blizzard, DICE, and Zynga about the gaming industry, the skills needed to pursue a career in gaming, opportunities for engineers in the field and best practices when internship/job searching.

    More Information: careeringaming.pdf

    Location: Seeley G. Mudd Building (SGM) - 101

    Audiences: CSCI, CECS, CSGames, CSBA

    Contact: RTH 218 Viterbi Career Connections

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  • W.V.T. Rusch Engineering Honors Program Colloquium

    Fri, Apr 14, 2017 @ 01:00 AM - 01:50 PM

    USC Viterbi School of Engineering, Viterbi School of Engineering Student Affairs

    University Calendar


    Join us for a presentation by , Prof. Malancha Gupta, Associate Professor, Mork Family Department of Chemical Engineering and Materials Science at the University of Southern California, titled "Functional Polymer Films."

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

    Audiences: Everyone Is Invited

    Contact: Ramon Borunda/Academic Services

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  • Mork Family Department Graduate Seminar

    Fri, Apr 14, 2017 @ 11:00 AM - 12:00 PM

    Mork Family Department of Chemical Engineering and Materials Science

    Conferences, Lectures, & Seminars


    Speaker: Dr. Morgan Trassin, Department of Materials, ETH Zurich, Switzerland.

    Talk Title: Monitoring the emergence of polarization in ferroelectric oxide heterostructures

    Host: Dr. Jayakanth Ravichandran

    Location: Hedco Pertroleum and Chemical Engineering Building (HED) - 116

    Audiences: Everyone Is Invited

    Contact: Aleessa Atienza

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  • AI Seminar

    Fri, Apr 14, 2017 @ 11:00 AM - 12:00 PM

    Information Sciences Institute

    Conferences, Lectures, & Seminars


    Speaker: Wei Wang, UCLA

    Talk Title: Big Data Analytics in Science

    Abstract: Big data analytics is the process of examining large amounts of data of a variety of types (big data) to uncover hidden patterns, unknown correlations, and other useful information. Its revolutionary potential is now universally recognized. Data complexity, heterogeneity, scale, and timeliness make data analysis a clear bottleneck in many biomedical applications, due to the complexity of the patterns and lack of scalability of the underlying algorithms. Advanced machine learning and data mining algorithms are being developed to address one or more challenges listed above. It is typical that the complexity of potential patterns may grow exponentially with respect to the data complexity, and so is the size of the pattern space. To avoid an exhaustive search through the pattern space, machine learning and data mining algorithms usually employ a greedy approach to search for a local optimum in the solution space or use a branch-and-bound approach to seeking optimal solutions, and consequently, are often implemented as iterative or recursive procedures. To improve efficiency, these algorithms often exploit the dependencies between potential patterns to maximize in-memory computation and/or leverage special hardware for acceleration. These lead to strong data dependency, operation dependency, and hardware dependency, and sometimes ad hoc solutions that cannot be generalized to a broader scope. In this talk, I will present some open challenges faced by data scientist in biomedical fields and the current approaches taken to tackle these challenges.

    Biography: California, Los Angeles and the director of the Scalable Analytics Institute (ScAi). She received her Ph.D. degree in Computer Science from the University of California, Los Angeles in 1999. She was a professor in Computer Science at the University of North Carolina at Chapel Hill from 2002 to 2012 and was a research staff member at the IBM T. J. Watson Research Center between 1999 and 2002. Dr. Wang's research interests include big data analytics, data mining, bioinformatics and computational biology, and databases. She has filed seven patents and has published one monograph and more than one hundred seventy research papers in international journals and major peer-reviewed conference proceedings.
    Dr. Wang received the IBM Invention Achievement Awards in 2000 and 2001. She was the recipient of an NSF Faculty Early Career Development (CAREER) Award in 2005. She was named a Microsoft Research New Faculty Fellow in 2005. She was honored with the 2007 Phillip and Ruth Hettleman Prize for Artistic and Scholarly Achievement at UNC. She was recognized with an IEEE ICDM Outstanding Service Award in 2012, an Okawa Foundation Research Award in 2013, and an ACM SIGKDD Service Award in 2016. Dr. Wang has been an associate editor of the IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Big Data, ACM Transactions on Knowledge Discovery in Data, Journal of Knowledge and Information Systems, Data Mining and Knowledge Discovery, and International Journal of Knowledge Discovery in Bioinformatics. She serves on the organization and program committees of international conferences including ACM SIGMOD, ACM SIGKDD, ACM BCB, VLDB, ICDE, EDBT, ACM CIKM, IEEE ICDM, SIAM DM, SSDBM, RECOMB, BIBM. She was elected to the Board of Directors of the ACM Special Interest Group on Bioinformatics, Computational Biology, and Biomedical Informatics (SIGBio) in 2015.


    Host: Mayank Kejriwal

    More Info: http://webcastermshd.isi.edu/Mediasite/Play/6660ae1a19c74378b4e0db116f3413291d

    Location: Information Science Institute (ISI) - 11th floor large conference room

    Audiences: Everyone Is Invited

    Contact: Kary LAU

    Event Link: http://webcastermshd.isi.edu/Mediasite/Play/6660ae1a19c74378b4e0db116f3413291d

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  • Jelena Vuckovic - Munushian Seminar, Friday, April 14th at 2:00pm in EEB 132

    Fri, Apr 14, 2017 @ 02:00 PM - 03:30 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Jelena Vuckovic, Stanford University

    Talk Title: Quantum Nanophotonics

    Abstract: Nanophotonic structures that localize photons in sub-wavelength volumes are possible today thanks to modern nanofabrication and optical design techniques. Such structures enable studies of new regimes of light-matter interaction, quantum and nonlinear optics, and new applications in computing, communications, and sensing. While the traditional quantum nanophotonics platform is based on quantum dots inside photonic crystal cavities, recently a lot of progress has been made on systems consisting of color centers in diamond and silicon carbide, which could potentially bring these experiments to room temperature and facilitate scaling to large networks of resonators and emitters. Moreover, the use of inverse nanophotonic design methods, that can efficiently perform physics-guided search through the full parameter space, leads to optical devices with properties superior to state of the art, including smaller footprints, better field localization, and novel functionalities.

    Biography: Jelena Vuckovic (PhD Caltech 2002) has been a faculty at Stanford since 2003, where she is currently a Professor of Electrical Engineering and by courtesy of Applied Physics, and where she leads the Nanoscale and Quantum Photonics Lab. She has also held visiting positions at the Humboldt University in Berlin, Germany, and the Technical University in Munich, Germany. Vuckovic is a recipient of numerous awards, including the Humboldt Prize, the Hans Fischer Senior Fellowship, and the Presidential Early Career Award for Scientists and Engineers (PECASE). She is a Fellow of the American Physical Society (APS) and of the Optical Society of America (OSA), and a member of the scientific advisory board of the Max Planck Institute for Quantum Optics (MPQ) in Munich, Germany.

    Host: EE-Electrophysics

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

    Audiences: Everyone Is Invited

    Contact: Marilyn Poplawski

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  • Seminars in Biomedical Engineering

    Fri, Apr 14, 2017 @ 02:30 PM - 04:30 PM

    Alfred E. Mann Department of Biomedical Engineering

    Conferences, Lectures, & Seminars


    Speaker: NO SEMINAR DUE TO GRODINS SYMPOSIUM, NO SEMINAR DUE TO GRODINS SYMPOSIUM

    Talk Title: NO SEMINAR DUE TO GRODINS SYMPOSIUM

    Series: Seminars in BME (Lab Rotations)

    Host: Brent Liu, PhD

    Location: Corwin D. Denney Research Center (DRB) - 146

    Audiences: Everyone Is Invited

    Contact: Mischalgrace Diasanta

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  • NL Seminar- Why is it harder to build a tic tac toe playing robot than a tic tac toe playing program?

    Fri, Apr 14, 2017 @ 03:00 PM - 04:00 PM

    Information Sciences Institute

    Conferences, Lectures, & Seminars


    Speaker: Kevin Knight, USC/ISI

    Talk Title: Why is it harder to build a tic tac toe playing robot than a tic tac toe playing program?

    Series: Natural Language Seminar

    Abstract: I wanted to understand why it's so hard to build working robots, so I programmed one to play tic tac toe. Now I understand a lot better! I thought I'd relate my experience right now, just in case I later become more knowledgeable and impossible to understand.



    Biography: Kevin Knight is a Research Director at the Information Sciences Institute ISI of the University of Southern California USC, and a Professor in the USC Computer Science Department. He received a PhD in computer science from Carnegie Mellon University and a bachelors degree from Harvard University. Dr. Knights research interests include statistical machine translation, natural language generation, automata theory, and decipherment of historical manuscripts.

    Host: Marjan Ghazvininejad

    More Info: http://nlg.isi.edu/nl-seminar/

    Location: Information Science Institute (ISI) - 11th Flr Conf Rm # 1135, Marina Del Rey

    Audiences: Everyone Is Invited

    Contact: Peter Zamar

    Event Link: http://nlg.isi.edu/nl-seminar/

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  • Astani Civil and Environmental Engineering Ph.D. Seminar

    Fri, Apr 14, 2017 @ 03:00 PM - 04:00 PM

    Sonny Astani Department of Civil and Environmental Engineering

    Conferences, Lectures, & Seminars


    Speaker: Yamrot Amha and Qian Feng, Astani CEE Graduate Students

    Talk Title: Elucidating Microbial Community Adaptation to Anaerobic Co-digestion of Fats, Oils, and Grease and Food Waste and Optimal Clipped Linear Strategies for Controllable Damping

    Location: John Stauffer Science Lecture Hall (SLH) - 102

    Audiences: Everyone Is Invited

    Contact: Evangeline Reyes

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