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SUNMONTUEWEDTHUFRISAT

Events for the 2nd week of May

  • Six Sigma Green Belt for Process Improvement

    Mon, May 08, 2017 @ 09:00 AM - 05:00 PM

    Executive Education

    Conferences, Lectures, & Seminars


    Speaker: TBD, TBD

    Talk Title: Six Sigma Green Belt for Process Improvement

    Abstract: Earn Six Sigma Green Belt Certification through the USC Viterbi School of Engineering, with Trojan Family pricing available. This is a 3-day course offered Monday-Wednesday from 9am-5pm. Please contact professional@gapp.usc.edu or call (213) 740-4488 for more details.

    Host: Professional Programs

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

    Audiences: Registered Attendees

    Contact: Viterbi Professional Programs

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  • Six Sigma Green Belt for Process Improvement

    Mon, May 08, 2017 @ 09:00 AM - 05:00 PM

    Executive Education

    Conferences, Lectures, & Seminars


    Speaker: TBD, TBD

    Talk Title: Six Sigma Green Belt for Process Improvement

    Abstract: Earn Six Sigma Green Belt Certification through the USC Viterbi School of Engineering, with Trojan Family pricing available. This is a 3-day course offered Monday-Wednesday from 9am-5pm. Please contact professional@gapp.usc.edu or call (213) 740-4488 for more details.

    Host: Professional Programs

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

    Audiences: Registered Attendees

    Contact: Viterbi Professional Programs

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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, May 08, 2017 @ 11:00 AM - 12:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Ram D. Sriram , Chief of Software and Systems, National Institute of Standards and Technology

    Talk Title: The Internet of Everything and Industrie 4.0

    Abstract: The Internet, which has spanned several networks in a wide variety of domains, is having a significant impact on every aspect of our lives. These networks are currently being extended to have significant sensing capabilities, with the evolution of the Internet of Things (IoT). With additional control we are entering the era of Cyber-physical Systems (CPS). In the near future the networks will go beyond physically linked computers to include multimodal-information from biological, cognitive, semantic, and social networks. This paradigm shift will involve symbiotic networks of people (social networks), smart devices, and smart phones or mobile personal computing and communication devices that will form smart net-centric systems and societies (SNSS), which is also known as Internet of Everything in the U.S. and Industrie 4.0 in Europe. These devices -“ and the network -- will be constantly sensing, monitoring, interpreting, and controlling the environment. In this talk, I will provide a unified framework for Internet of Things, Cyber-Physical Systems, and Smart Networked Systems and Societies, along with a brief introduction to Industrie 4.0. I will discuss the various research issues and representative projects at NIST.

    Biography: Ram D. Sriram is currently the chief of the Software and Systems Division, Information Technology Laboratory, at the National Institute of Standards and Technology. Before joining the Software and Systems Division, Sriram was the leader of the Design and Process group in the Manufacturing Systems Integration Division, Manufacturing Engineering Laboratory, where he conducted research on standards for interoperability of computer-aided design systems. Prior to joining NIST, he was on the engineering faculty (1986-1994) at the Massachusetts Institute of Technology (MIT) and was instrumental in setting up the Intelligent Engineering Systems Laboratory. Sriram has co-authored or authored more than 250 publications, including several books. Sriram was a founding co-editor of the International Journal for AI in Engineering. Sriram received several awards including: an NSF's Presidential Young Investigator Award (1989); ASME Design Automation Award (2011); ASME CIE Distinguished Service Award (2014); the Washington Academy of Sciences' Distinguished Career in Engineering Sciences Award (2015); ASME CIE division's Lifetime Achievement Award (2016). Sriram is a Fellow of ASME, AAAS, IEEE and Washington Academy of Sciences, and a member (life) of ACM and AAAI. Sriram has a B.Tech. from IIT, Madras, India, and an M.S. and a Ph.D. from Carnegie Mellon University, Pittsburgh, USA

    Host: S.K. Gupta

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

    Audiences: Everyone Is Invited

    Contact: Estela Lopez

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  • USC Stem Cell Seminar: Arthur Lander, University of California, Irvine

    Tue, May 09, 2017 @ 11:00 AM - 12:00 PM

    Biomedical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Arthur Lander, University of California, Irvine

    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

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  • PhD Defense - Hao Wu

    Wed, May 10, 2017 @ 01:00 PM - 03:00 PM

    Computer Science

    University Calendar


    PhD Candidate: Hao Wu


    Committee:
    Kristina Lerman (chair)
    Kevin Knight
    Florenta Teodoridis (external)



    Title: Learning Distributed Representations from Network Data and Human Navigation

    Time: May 10 (Wed) 1:00-3:00pm


    Room: SAL 322


    Abstract:
    The increasing growth of network data in online social networks and linked documents on the Web, presents challenges for automatic feature generation for data analysis. We study the problem of learning representations from network data, which is of critical importance for real world applications, including document search, personalized recommendation and role discovery. Most existing approaches do not characterize the surrounding network structure that serves as context for each data point, or they cannot scale well to massive data in real world scenarios. We present novel neural network algorithms that learn distributed representations of network data by exploiting network structure and human navigation. The algorithms embed data into a common low-dimensional continuous vector space, which facilitates predictive tasks, such as classification, relational learning and analogy. Efficient optimization and sampling methods improve the scalability of our algorithms.

    First, we propose a neural embedding algorithm to learn distributed representations of generic graphs with global context. To capture the local network structure of each data point, we use random walks to sample nodes in a network neighborhood. Our algorithm is scale-invariant and the learned global representations can be used for similarity measurement of networks. We evaluate our model against state-of-the-art methods on node classification, role discovery and analogy tasks.

    Second, we present a neural language model for generating text in networked documents. The model can capture both the local context of word sequences and the semantic influence between linked documents. The approach is based on an intuition that authors are influenced by words in the documents they cite and readers usually read the words in paragraphs by referring to those cited concepts or documents. We show improved performance in document classification and link prediction with our model.

    Third, the information of how people navigate the network data online provides clues about missing links between cognitively similar concepts. Learning human navigation can also help characterizing human behavior and improving recommendation. We devise another neural network algorithm that accounts for human navigation patterns to learn better representations of text documents. We present empirical results of our algorithm on online news and movie review data, and show its effectiveness on real world applications.

    Location: Henry Salvatori Computer Science Center (SAL) - 322

    Audiences: Everyone Is Invited

    Contact: Lizsl De Leon

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  • Viterbi School of Engineering PhD Hooding and Awards Ceremony

    Thu, May 11, 2017 @ 08:30 AM - 12:00 PM

    Viterbi School of Engineering Doctoral Programs

    Receptions & Special Events


    The Viterbi PhD Hooding and Awards Ceremony will take place on Thursday, May 11, 2017, from 8:30-11:00am in Bovard Auditorium. Tickets are required. The ceremony will be followed by a reception in Associates Park.

    Location: George Finley Bovard Administration Building (ADM) -

    Audiences: Everyone Is Invited

    Contact: Jennifer Gerson

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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

    Thu, May 11, 2017 @ 02:00 PM - 03:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Yongdae Kim , Professor, Korea Advanced Institute of Science and Technology (KAIST)

    Talk Title: Hacking Sensors

    Abstract: Sensors are designed to measure sensor inputs (e.g., physical quantities) and transfer sensor outputs (e.g. voltage signal) into the embedded devices. In addition, sensor-equipped embedded systems (called sensing-and-actuation systems) decide their actuations according to these sensor outputs, and the systems have no doubt whether the sensor outputs are legitimate or not. Sensors are essential components for safety-critical systems such as self-driving cars, drones and medical devices. Breaking safety in these systems may cause loss of life or disasters. Because of these safety reasons, sensors are often designed to be robust against failure or faults. However, can they maintain safety under adversarial conditions? In this talk, I detail how sensors can be spoofed or prevented from providing correct operation through regular and side-channels. Attacks on various devices such as medical devices, drones, autonomous vehicles and smart wearables will be shown. I'll complete the talk with a few directions and guides to prevent these attacks with a few open problems.

    Biography: Yongdae Kim is a Professor in the Department of Electrical Engineering and an Affiliate Professor in the GSIS at KAIST. He received his PhD from the computer science department at the University of Southern California in 2002. Between 2002 and 2012, he was an Associate/Assistant Professor in the Department of Computer Science and Engineering at the University of Minnesota Twin Cities. Before coming to the US, he worked 6 years in ETRI for securing Korean cyberinfrastructure. Between 2013 and 2016, he served as a KAIST endowed Chair Professor. He received an NSF career award on storage security and a McKnight Land-Grant Professorship Award from the University of Minnesota in 2005. Currently, he is serving as a steering committee member of NDSS and Associate Editor for ACM TISSEC. His current research interests include security issues for various systems such as cyber physical systems, social networks, cellular networks, P2P systems, medical devices, storage systems, mobile/ad hoc/sensor networks, and anonymous communication systems.

    Host: Bhaskar Krishnamachari and Paul Bogdan

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

    Audiences: Everyone Is Invited

    Contact: Estela Lopez

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  • 2017 MFD Commencement Reception

    Fri, May 12, 2017 @ 12:15 PM - 02:00 PM

    Mork Family Department of Chemical Engineering and Materials Science

    Receptions & Special Events


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

    Audiences: Department Only

    Contact: Aleessa Atienza

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