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Events for November 10, 2016

  • Repeating EventSix Sigma Green Belt for Process Improvement

    Thu, Nov 10, 2016 @ 09:00 AM - 05:00 PM

    Executive Education

    Conferences, Lectures, & Seminars

    Speaker: TBD, TBD

    Host: Professional Programs

    More Info: https://gapp.usc.edu/professional-programs/short-courses/industrial%2526systems/six-sigma-green-belt-process-improvement)

    Audiences: Registered Attendees

    View All Dates

    Contact: Erin Tanaka

    Event Link: https://gapp.usc.edu/professional-programs/short-courses/industrial%2526systems/six-sigma-green-belt-process-improvement)


    Thu, Nov 10, 2016 @ 11:00 AM - 12:00 PM

    Information Sciences Institute

    Conferences, Lectures, & Seminars

    Speaker: Yizhou Sun, UCLA


    Series: Artificial Intelligence Seminar

    Abstract: One of the challenges in mining information networks is the lack of intrinsic metric in representing nodes into a low dimensional space, which is essential in many mining tasks, such as anomaly detection, recommendation, and link prediction. Moreover, when coming to heterogeneous information networks, where nodes belong to different types and links represent different semantic meanings, it is even more challenging to represent nodes properly for a particular task. In this talk, I will introduce our recent progress of network embedding approaches that are designed for heterogeneous information networks and guided by specific tasks, and discuss (1) how to represent nodes when different types of nodes and links are involved; (2) how different tasks can guide the embedding process; and (3) how heterogeneous links play different roles in these tasks. Our results on several application domains, including enterprise networking, social network, bibliographic data, and biomedical data, have demonstrated the superiority as well as the interpretability of these new methodologies.

    Biography: Yizhou Sun is an assistant professor at department of computer science of UCLA. Prior to that, she was an assistant professor in the College of Computer and Information Science of Northeastern University. She received her Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign in 2012. Her principal research interest is in mining information and social networks, and more generally in data mining, machine learning, and network science, with a focus on modeling novel problems and proposing scalable algorithms for large-scale, real-world applications. Yizhou has over 60 publications in books, journals, and major conferences. Tutorials on mining heterogeneous information networks have been given in several premier conferences, including EDBT 2009, SIGMOD 2010, KDD 2010, ICDE 2012, VLDB 2012, ASONAM 2012, and ACL 2015. She received 2012 ACM SIGKDD Best Student Paper Award, 2013 ACM SIGKDD Doctoral Dissertation Award, 2013 Yahoo ACE (Academic Career Enhancement) Award, 2015 NSF CAREER Award, and 2016 CS@ILLINOIS Distinguished Educator Award.

    Host: Emilio Ferrara

    More Info: http://webcastermshd.isi.edu/Mediasite/Play/ce533b93329d4c65bb73697f53ebeb541d

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

    Audiences: Everyone Is Invited

    Contact: Peter Zamar

    Event Link: http://webcastermshd.isi.edu/Mediasite/Play/ce533b93329d4c65bb73697f53ebeb541d

  • Lyman L. Handy Colloquia

    Thu, Nov 10, 2016 @ 12:45 PM - 01:50 PM

    Mork Family Department of Chemical Engineering and Materials Science

    Conferences, Lectures, & Seminars

    Speaker: Dr. David Srolovitz , University of Pennslyvania

    Talk Title: Grand Unified Theory of Grain Boundaries

    Series: Lyman Handy Colloquia

    Host: Professor Priya Vashishta

    Location: James H. Zumberge Hall Of Science (ZHS) - 159

    Audiences: Everyone Is Invited

    Contact: Martin Olekszyk

  • EE 598 Computer Engineering Seminar

    Thu, Nov 10, 2016 @ 04:00 PM - 05:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars

    Speaker: Jason Cong, Professor, University of California, Los Angeles

    Talk Title: Customizable Computing at Datacenter Scale

    Abstract: Customizable computing has been of interest to the research community for over three decades. The interest has intensified in the recent years as the power and energy become a significant limiting factor to the computing industry. For example, the energy consumed by the datacenters of some large internet service providers is well over 109 Kilowatt-hours. FPGA-based acceleration has shown 10-100X performance/energy efficiency over the general-purpose processors in many applications. With Intel's $17B acquisition of Altera completed in December 2015, customizable computing is going from advanced research projects into mainstream computing technologies.

    In this talk, I shall first present evaluation of several CPU+FPGA platforms for datacenter level integration, and the acceleration results in multiple application domains, including medical imaging, machine learning, and computational genomics. Programming effort remains to be a serious challenge. So, the second part of my talk discusses our ongoing effort in automating compilation with source-code level transformation and optimization coupled with high-level synthesis, as well as developing efficient runtime support for scheduling and transparent resource management for integration of FPGAs for cloud-scale acceleration.

    Biography: Jason Cong received his B.S. degree in computer science from Peking University in 1985, his M.S. and Ph.D. degrees in computer science from the University of Illinois at Urbana-Champaign in 1987 and 1990, respectively. Currently, he is a Chancellor's Professor at the UCLA Computer Science Department, the director of Center for Customizable Domain-Specific Computing (CDSC). He served as the department chair from 2005 to 2008. Dr. Cong's research interests include electronic design automation, energy-efficient computing, customized computing for big-data applications, and highly scalable algorithms. He has over 400 publications in these areas, including 10 best paper awards, and the 2011 ACM/IEEE A. Richard Newton Technical Impact Award in Electric Design Automation. He was elected to an IEEE Fellow in 2000 and ACM Fellow in 2008. He received the 2010 IEEE Circuits and System (CAS) Society Technical Achievement Award "For seminal contributions to electronic design automation, especially in FPGA synthesis, VLSI interconnect optimization, and physical design automation" and the 2016 IEEE Computer Society Technical Achievement Award "For setting the algorithmic foundations for high-level synthesis of field programmable gate arrays." He is the only one who received a Technical Achievement Award from both the IEEE Circuits and Systems Society and the Computer Society.

    Dr. Cong has graduated 34 PhD students. Nine of them are now faculty members in major research universities, including Cornell, Fudan Univ., Georgia Tech., Peking Univ., Purdue, SUNY Binghamton, UCLA, UIUC, and UT Austin. One of them is now an IEEE Fellow, six of them got the highly competitive NSF Career Award, and one of them received the ACM SIGDA Outstanding Dissertation Award. Dr. Cong has successfully co-founded three companies with his students, including Aplus Design Technologies for FPGA physical synthesis and architecture evaluation (acquired by Magma in 2003, now part of Synopsys), AutoESL Design Technologies for high-level synthesis (acquired by Xilinx in 2011), and Neptune Design Automation for ultra-fast FPGA physical design (acquired by Xilinx in 2013). Currently, he is a co-founder and the chief scientific advisor of Falcon Computing Solutions, a startup dedicated to enabling FPGA-based customized computing in data centers.

    Host: Xuehai Qian

    Location: Olin Hall of Engineering (OHE) - OHE 100D

    Audiences: Everyone Is Invited

    Contact: Estela Lopez

  • Southern California Edison Information Session

    Thu, Nov 10, 2016 @ 06:00 PM - 07:00 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions

    Join us at the Info Session to:

    Hear about the Grid of the Future, Renewables, Technology, Clean
    Energy, Electrical Vehicles, Grid Modernization, Power, and Grid of the Future

    Be Inspired by Industry Members on how they have been successful in their careers and how you can be successful in your career

    Learn about the exciting internship & job opportunities that are available across the company that foster a community of high performance, innovation, and passion for the industry

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

    Audiences: Everyone Is Invited

    Contact: RTH 218 Viterbi Career Connections