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Events for February 20, 2019

  • Repeating EventMeet USC: Admission Presentation, Campus Tour, and Engineering Talk

    Wed, Feb 20, 2019

    Viterbi School of Engineering Undergraduate Admission

    Workshops & Infosessions

    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

    View All Dates

    Contact: Viterbi Admission

  • AME Seminar

    Wed, Feb 20, 2019 @ 11:00 AM - 12:00 PM

    Aerospace and Mechanical Engineering

    Conferences, Lectures, & Seminars

    Speaker: Kazuhiro Saitou, University of Michigan

    Talk Title: Manufacturability-Driven, Multi-Component Topology Optimization (MTO) for Top-Down Design of Structural Assemblies

    Abstract: This talk presents a manufacturability-driven, multi-component topology optimization (MTO) framework for simultaneous design and partitioning of structures assembled of multiple components. Constraints on component geometry imposed by chosen manufacturing processes are incorporated in the conventional density-based topology optimization, with additional design variables specifying fractional component membership which enables continuous relaxation of otherwise discrete partitioning problems. The geometric constraints imposed by various manufacturing processes, such as size, perimeter length, undercut, and enclosed cavities, are also relaxed to enable the manufacturability evaluation of gray geometries that occur during the density-based topology optimization. Examples on minimum compliance structural assembly design for sheet metal stamping (MTO-S), die casting (MTO-D), additive manufacturing (MTO-A), and tailored-fiber composite process (MTO-C) show promising advantages over the conventional monolithic topology optimization. In particular, manufacturing constraints previously applied to monolithic topology optimization gain new interpretations when applied to multi-component assemblies, which can unlock richer design space for topology exploration. The talk will conclude with a brief overview of the latest developments on the MTO framework for continuous fiber printing processes and for 4D printing processes.

    Host: AME Department

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

    Location: 150

    Audiences: Everyone Is Invited

    Contact: Tessa Yao

  • Astani Civil and Environmental Engineering Seminar

    Wed, Feb 20, 2019 @ 11:30 AM - 12:30 PM

    Sonny Astani Department of Civil and Environmental Engineering

    Conferences, Lectures, & Seminars

    Speaker: Dr. Jonathan Hopkins, University of California, Los Angeles

    Talk Title: Enabling Engineered Properties via Architected Materials

    Abstract: See attachment

    More Information: Seminar _Jonathan Hopkins.pdf

    Location: Kaprielian Hall (KAP) - 209

    Audiences: Everyone Is Invited

    Contact: Evangeline Reyes

  • Interviews Open Forum

    Wed, Feb 20, 2019 @ 01:00 PM - 02:00 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions

    Increase your career and internship knowledge for interviews by attending this professional development Q&A moderated by Viterbi Career Connections staff or Viterbi employer partners.

    For more information about Labs & Open Forums, please visit viterbicareers.usc.edu/workshops.

    Location: Ronald Tutor Hall of Engineering (RTH) - 211

    Audiences: All Viterbi Students

    Contact: RTH 218 Viterbi Career Connections

  • Intramurals: Bubble Soccer

    Wed, Feb 20, 2019 @ 03:00 PM - 06:00 PM

    Viterbi School of Engineering Student Affairs, Viterbi School of Engineering Student Organizations

    Student Activity

    Location: Daniel J. Epstein Family Plaza (E-Quad)

    Audiences: Everyone Is Invited

    Contact: Monica De Los Santos

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

    Wed, Feb 20, 2019 @ 03:00 PM - 04:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars

    Speaker: Farshad Lahouti, California Institute of Technology

    Talk Title: Learning from Oracle or Crowd: Budget fidelity trade-offs and query design strategies

    Series: Center for Cyber-Physical Systems and Internet of Things

    Abstract: Design of many machine learning systems rely on well-curated datasets. Developing such datasets is an expensive and time-consuming process. Digital crowdsourcing (CS) is a modern approach to infer this from small contributions of a large and potentially non-expert crowd. In this talk, the CS problem, as a human-in-the-loop computation problem, is modeled and analyzed in an information theoretic rate-distortion framework. The purpose is to identify the ultimate fidelity that one can achieve by any form of query from the crowd and any inference algorithm with a given budget. This in turn motivates the design of coded query schemes. Strategies are presented for efficient and reliable query design in presence of a crowd or an oracle. The query rate performance and speed of learning are analyzed and the role of pricing is investigated. Joint work with Victoria Kostina and Babak Hassibi.

    Biography: Farshad Lahouti received the Ph.D. degree in electrical engineering from the University of Waterloo, Canada, in 2002. In 2005, he joined the faculty of the School of Electrical and Computer Engineering, University of Tehran, where he founded the Center for Wireless Multimedia Communications. Dr Lahouti received the distinguished scientist award from Iran National Academy of Sciences in 2014. He joined the electrical engineering department at Caltech as a visiting faculty in 2013, where he initiated the digital ventures design program. He is also the co-founder and the scientific lead of cntxts Inc inventing the next generation ultra energy efficient IoT technology and its digital AI contexts. His current research interests are coding and information theory, and statistical signal processing with applications to machine learning, wireless networks and biological and neuronal networks. Information on his recent works can be found here: http://www.its.caltech.edu/~lahouti

    Host: Salman Avestimehr

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

    Audiences: Everyone Is Invited

    Contact: Talyia White

  • AI, Biometrics and Computer Vision @ VISTA

    Wed, Feb 20, 2019 @ 03:15 PM - 04:15 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars

    Speaker: Dr. Wael AbdAlmageed, USC-ISI

    Talk Title: AI, Biometrics and Computer Vision @ VISTA

    Abstract: In this talk, I will describe various ongoing research activities at computer vision group at USC Information Sciences Institute that span core machine learning and artificial intelligence, biometrics, image integrity assessment and fake news detection. In terms of core machine learning, I will present a novel representation (i.e. feature) learning framework for neural networks, called unsupervised adversarial invariance, which learns a split representation of data through competitive learning between a classification task and a reconstruction task coupled with information disentanglement, without needing any labeled information about confounding factors or domain knowledge. Second, in biometrics, I will present the design of a novel biometrics sensor suite that provides rich data for presentation attack detection (i.e. anti-spoofing) for face, iris and fingerprint biometrics. I will also present a deep neural network approach for presentation attack detection using limited amounts of data obtained from the new sensor suite. Finally, I will present two new approaches for assessing the integrity of multimedia assets. The first approach is called BusterNet, in which I will describe a novel convolutional neural network architecture for detection and localization of copy-move image forgeries. The second approach uses joint multimodal embedding to assess the integrity of multimedia packages undergoing semantic manipulations. I will conclude my talk with directions and plans for future research.

    Biography: Dr. Wael AbdAlmageed is a Research Team Leader and Supervising Computer Scientist at the USC Information Sciences Institute (USC ISI). He is the Co-Director of the Center for Video, Image, Speech and Text Analytics (VISTA). He is an expert in computer vision, biometrics and machine learning. His research focus is on developing and applying artificial intelligence techniques to vision, bioinformatics and data analytics problems. His research interests also include mapping machine learning and computer vision algorithms to modern high performance computing platforms. Prior to joining ISI, from 2004 to 2013, Dr. AbdAlmageed was a research scientist with the University of Maryland at College Park, where he led research and development efforts for various DARPA, IARPA and ARL programs, such as VIVID, VIRAT, PerSeas and VACE. He obtained his Ph.D. with Distinction from the University of New Mexico in 2003 where he was also awarded the Outstanding Graduate Student award. He has two patents and over 65 publications in top machine learning, computer vision and high performance computing conferences and journals. Dr. AbdAlmageed is the PI for ISI's effort on IARPA Odin, and DARPA MediFor.

    Host: Profs Richard Leahy & Shrikanth Narayanan

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

    Audiences: Everyone Is Invited

    Contact: Mayumi Thrasher

  • CAIS Seminar: Kristina Lerman (USC) - Friendship Paradox and Information Bias in Networks

    Wed, Feb 20, 2019 @ 04:00 PM - 05:00 PM

    Computer Science

    Conferences, Lectures, & Seminars

    Speaker: Dr. Kristina Lerman, University of Southern California Information Sciences Institute

    Talk Title: Friendship Paradox and Information Bias in Networks

    Series: USC Center for Artificial Intelligence in Society (CAIS) Seminar Series

    Abstract: Individuals' decisions, from what product to buy to who to vote for, often depend on what others are doing. People, however, rarely have global information about others, but must estimate it from the local observations they make of their friends. Dr. Lerman discusses the counter-intuitive phenomena by which the structure of social networks significantly distorts the observations people make of their friends. The effects include the "friendship paradox," which states that your friends have more friends than you do, on average, and its many more surprising generalizations. As a result of these paradoxes, a trait that is globally rare may be dramatically over-represented in the local neighborhoods of many people. Friendship paradoxes may lead individuals to systematically overestimate the prevalence of a minority opinion or behavior, and may accelerate the spread of social contagions and adoption of social norms.

    This lecture satisfies requirements for CSCI 591: Research Colloquium.

    Biography: Kristina Lerman is a Principal Scientist at the University of Southern California Information Sciences Institute and holds a joint appointment as a Research Associate Professor in the department of Computer Science at the USC Viterbi School of Engineering. Trained as a physicist, she now applies network analysis and machine learning to problems in computational social science, including crowdsourcing, social network and social media analysis. Her recent work on modeling and understanding cognitive biases in social networks has been covered by the Washington Post, Wall Street Journal, and MIT Tech Review.

    Host: Milind Tambe

    Location: James H. Zumberge Hall Of Science (ZHS) - 252

    Audiences: Everyone Is Invited

    Contact: Computer Science Department

  • ASBME Info Session: Amgen

    Wed, Feb 20, 2019 @ 07:00 PM - 08:00 PM

    Viterbi School of Engineering Student Organizations

    Student Activity

    Interested in working for one of the world's leading biotechnology companies? Come to this info session to learn about Amgen, a values-based company deeply rooted in science and innovation to transform new ideas and discoveries into medicines for patients with serious illnesses.

    Location: Ronald Tutor Campus Center (TCC) - 227

    Audiences: Everyone Is Invited

    Contact: Associated Students of Biomedical Engineering