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Events for August 08, 2018

  • Meet USC: Admission Presentation, Campus Tour, and Engineering Talk

    Wed, Aug 08, 2018

    Viterbi School of Engineering Undergraduate Admission

    University Calendar

    This half day program is designed for prospective freshmen (HS juniors and younger) and family members. Meet USC includes an information session on the University and the Admission process, a student led walking tour of campus, and a meeting with us in the Viterbi School. During the engineering session we will discuss the curriculum, research opportunities, hands-on projects, entrepreneurial support programs, and other aspects of the engineering school. Meet USC is designed to answer all of your questions about USC, the application process, and financial aid.

    Reservations are required for Meet USC. This program occurs twice, once at 8:30 a.m. and again at 12:30 p.m.

    Please make sure to check availability and register online for the session you wish to attend. Also, remember to list an Engineering major as your "intended major" on the webform!


    Location: Ronald Tutor Campus Center (TCC) - USC Admission Office

    Audiences: Everyone Is Invited

    Contact: Viterbi Admission

  • SERC Talks

    Wed, Aug 08, 2018 @ 10:00 AM - 11:00 AM

    Systems Architecting and Engineering, USC Viterbi School of Engineering

    Conferences, Lectures, & Seminars

    Speaker: Barry Boehm, TRW Professor, Director, Center for Systems and Software Engineering, University of Southern California

    Talk Title: How to Query, Qualify and Quantify the Qualities Quagmire

    Series: Successfully Applying Agile Methods for High-Criticality Systems

    Abstract: Systems and software qualities are also known as non-functional requirements. Where functional requirements specify what a system should do, the NFRs specify how well the system should do them. Many of them, such as Reliability, Availability, Maintainability, Usability, Affordability, Interoperability, and Adaptability, are often called ilities, but not to the exclusion of other SQs such as Safety, Security, Resilience, Robustness, Accuracy, and Speed.

    In 2012, the US Department of Defense identified seven Critical Technology Areas needing emphasis in its technology investments. One of them was called Engineered Resilient Systems. The SERC sponsor, the DoD Undersecretary for Systems Engineering, and the lead ERS research organization, the Army Engineering Research Center (ERC), held two workshops to explore what research was being addressed, and how the SERC could complement it. It turned out that the existing ERS research underway was primarily directed at field testing, supercomputer modeling, and resilient design of physical systems, and that the SERC could best complement this research by addressing the resilient design of cyber-physical-human systems, Some of the SERC universities were performing such research, such as AFIT, Georgia Tech, MIT, NPS, Penn State, USC, U. Virginia, and Wayne State. These universities have been addressing aspects of this research area as a team since 2013.

    Initially, the team found a veritable quagmire of SQ definitions and relationships. For example, looking up resilience in Wikipedia, the team found over 20 different definitions of resilience, with over 10 different definitions of systems post-resilient state. The leading standard in the area, ISO-IEC 25010, had weak and inconsistent definitions of the qualities. For example, it defined Reliability with respect to the satisfaction of system functional requirements, but not its quality requirements. Some of the SERC universities had developed partial ontologies of the SQs, and exploration of alternative ontology structures identified found one that addressed not only the inter-quality relationships, but also their sources of value variation. The talk will summarize how the ontology can help systems engineers query, qualify, and quantify the relations among the system qualities, and better address key qualities such as Maintainability.

    Biography: Dr. Barry Boehm received his B.A. degree from Harvard in 1957, and his M.S. and Ph.D. degrees from UCLA in 1961 and 1964, all in Mathematics. He has also received honorary Sc.D. in Computer Science from the U. of Massachusetts in 2000 and in Software Engineering from the Chinese Academy of Sciences in 2011. He is a Fellow of the ACM, AIAA, IEEE, and INCOSE, and a member of the NAE.

    While at USC, he has served as the Principal Investigator on major research contracts and grants from the Office of the Secretary of Defense, DARPA, ONR, AFRL, USAF-ESC, TACOM, NASA, FAA, and NSF. He has received industry research grants from over 25 industrial organizations. His real-client software engineering project course has successfully completed over 200 projects for USC-neighborhood clients and educated over 2000 students in an integrated approach to systems engineering and software engineering. He has published over 500 papers and books, with over 50,000 citations, and a Google Scholar h-index of 81.

    Host: Systems Engineering Research Center

    More Info: https://sercuarc.org/event/serc-talks-how-to-query-qualify-and-quantify-the-qualities-quagmire/

    Webcast: Available via WebEx. Register at the event link.

    Location: available via WebEx

    WebCast Link: Available via WebEx. Register at the event link.

    Audiences: Everyone Is Invited

    Contact: James Moore II

    Event Link: https://sercuarc.org/event/serc-talks-how-to-query-qualify-and-quantify-the-qualities-quagmire/

  • Electrical Engineering Seminar

    Wed, Aug 08, 2018 @ 03:03 PM - 04:30 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars

    Speaker: Victor O.K. Li, The University of Hong Kong, Hong Kong

    Talk Title: Bayesian Deep Learning: A Hybrid Approach to Predict Air Pollution

    Abstract: Air pollution has deteriorated rapidly in many metropolitan cities, such as Beijing. Since poor air quality has clear public health impacts, accurately monitoring and predicting the concentration of PM2.5 and other pollutants have become increasingly crucial. This talk presents a hybrid approach where time series decomposition and Bayesian Long Short-Term Memory (BLSTM) are combined as a framework for air pollution forecast, based on historical data of air quality, meteorology and traffic in Beijing. LSTM has been proven to achieve state-of-the-art performance in many time series prediction applications due to its capability of memorizing long term sequential correlations. In addition, the model uncertainty estimates generated by Bayesian methods may reduce overfitting, improving the accuracy of the prediction. In our experiment, deseasonalized features are fed into BLSTM to predict the air pollution in the next 48 hours of each monitoring station in Beijing. Results show that the BLSTM framework outperforms the baseline models including SVR, STL, ARIMA, and traditional LSTM with dropout regularization.

    Biography: Victor O.K. Li received SB, SM, EE and ScD degrees in Electrical Engineering and Computer Science from MIT. Prof. Li is Chair of Information Engineering and Cheng Yu-Tung Professor in Sustainable Development at the Department of Electrical & Electronic Engineering (EEE) at the University of Hong Kong. He is the Director of the HKU-Cambridge Clean Energy and Environment Research Platform, an interdisciplinary collaboration with Cambridge. He was the Head of EEE, Assoc. Dean (Research) of Engineering and Managing Director of Versitech Ltd. He serves on the board of Sunevision Holdings Ltd., listed on the Hong Kong Stock Exchange and co-founded Fano Labs Ltd., an artificial intelligence (AI) company with his PhD student. Previously, he was Professor of Electrical Engineering at the University of Southern California (USC), Los Angeles, California, USA, and Director of the USC Communication Sciences Institute. His research interests include big data, AI, optimization techniques, and interdisciplinary clean energy and environment studies. In Jan 2018, he was awarded a USD 6.3M RGC Theme-based Research Project to develop deep learning techniques for personalized and smart air pollution monitoring and health management. Sought by government, industry, and academic organizations, he has lectured and consulted extensively internationally. He has received numerous awards, including the PRC Ministry of Education Changjiang Chair Professorship at Tsinghua University, the UK Royal Academy of Engineering Senior Visiting Fellowship in Communications, the Croucher Foundation Senior Research Fellowship, and the Order of the Bronze Bauhinia Star, Government of the HKSAR. He is a Fellow of the Hong Kong Academy of Engineering Sciences, the IEEE, the IAE, and the HKIE. He can be contacted at vli@eee.hku.hk.

    Host: C.-C. Jay Kuo

    More Information: Victor Li Seminar Announcement.pdf

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

    Audiences: Everyone Is Invited

    Contact: Gloria Halfacre