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Events for April 14, 2017

  • 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

  • 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

  • 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

  • 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

  • Seminars in Biomedical Engineering

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

    Alfred E. Mann Department of Biomedical Engineering

    Conferences, Lectures, & Seminars



    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

  • 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/

  • 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