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Events for April 16, 2019

  • Shanghai, China - Admitted Student Reception

    Tue, Apr 16, 2019

    Viterbi School of Engineering Undergraduate Admission

    University Calendar


    These Admitted Student Programs, hosted by the Undergraduate Admission Office, provide admitted students and their families an opportunity to meet admission counselors, representatives from academic departments, alumni, and you will have the opportunity to meet other admitted students from your local area. Viterbi and University Admission counselors will be there to answer any questions you might have, tell you more about campus life and your specific academic program, and welcome you to the Trojan Family. The program will last approximately two hours.

    We love seeing our newly admitted students in person! if you live in or near a city we will be visiting, we encourage you to join us!

    Once admitted, students can find the RSVP link in their USC Applicant Portal.

    Audiences: Admitted Students & Family Members

    Posted By: Viterbi Admission

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  • Miami, FL - Admitted Student Reception

    Tue, Apr 16, 2019

    Viterbi School of Engineering Undergraduate Admission

    University Calendar


    These Admitted Student Programs, hosted by the Undergraduate Admission Office, provide admitted students and their families an opportunity to meet admission counselors, representatives from academic departments, alumni, and you will have the opportunity to meet other admitted students from your local area. Viterbi and University Admission counselors will be there to answer any questions you might have, tell you more about campus life and your specific academic program, and welcome you to the Trojan Family. The program will last approximately two hours.

    We love seeing our newly admitted students in person! if you live in or near a city we will be visiting, we encourage you to join us!

    Once admitted, students can find the RSVP link in their USC Applicant Portal.

    Audiences: Admitted Students & Family Members

    Posted By: Viterbi Admission

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  • Repeating EventExplore USC - Admitted Student Day

    Tue, Apr 16, 2019

    Viterbi School of Engineering Undergraduate Admission

    University Calendar


    Explore USC is the most comprehensive campus visit program for admitted students. It is a full-day program that allows you to interact with dozens of our current students, tour the campus, learn more about financial aid, gives you opportunities to sit in on classes, and start the morning with the Viterbi School of Engineering.

    Your time with us in the Viterbi School will take you through an informative session on our academic programs. We will arrange a meeting with faculty from the major you are interested in as well as engineering facility tours of that same area. For lunch we will have you hanging out with some of our engineering students for a few hours, eating in the dinning facilities, seeing the residence halls, but most importantly experiencing the full USC atmosphere.

    Once admitted, students can find the RSVP link in their USC Applicant Portal.

    Audiences: Admitted Students & Family Members

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    Posted By: Viterbi Admission

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  • CS Colloquium: Owolabi Legunsen (University of Illinois at Urbana-Champaign) - Evolution-Aware Runtime Verification

    Tue, Apr 16, 2019 @ 11:00 AM - 12:00 PM

    Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Owolabi Legunses, University of Illinois at Urbana-Champaign

    Talk Title: Evolution-Aware Runtime Verification

    Series: CS Colloquium

    Abstract: The risk posed by software bugs has increased significantly as software is now essential to many areas of our daily lives. Runtime verification can help find bugs by monitoring program executions against formally specified properties. Over the last two decades, tremendous research progress has improved the performance of runtime verification. However, there has been very little focus on the benefits and challenges of using runtime verification during software testing. Yet, testing generates many executions on which properties can be monitored.

    In this talk, I will describe my work on studying and improving runtime verification during testing. My large-scale study was the first to show that runtime verification during testing is beneficial for finding many important bugs from tests that developers already have. However, my study also showed that runtime verification still incurs high overhead, both in machine time to monitor properties and in developer time to inspect violations of the properties. Moreover, all prior runtime verification techniques consider only one program version and would wastefully re-monitor unaffected properties and code as software evolves. To reduce the overhead across multiple program versions, I proposed the first evolution-aware runtime verification techniques. My techniques exploit the key insight that software evolves in small increments and reduce the accumulated runtime verification overhead by up to 10x, without missing new violations.

    This lecture satisfies requirements for CSCI 591: Research Colloquium

    Biography: Owolabi Legunsen is a PhD candidate in Computer Science at the University of Illinois at Urbana-Champaign, where he works with Darko Marinov and Grigore Rosu. Owolabi's interests are in Software Engineering and Applied Formal Methods, with a focus on Software Testing and Runtime Verification. His research goal is to improve software reliability by helping developers find more bugs, find bugs faster, and find bugs more reliably. So far, his techniques and tools helped find more than 450 bugs in over 90 open-source projects. His research on runtime verification during software testing received an ACM SIGSOFT Distinguished Paper Award at ASE 2016. More information is available on his web page: http://mir.cs.illinois.edu/legunsen


    Host: Nenad Medvidovic

    Location: Olin Hall of Engineering (OHE) - 132

    Audiences: Everyone Is Invited

    Posted By: Assistant to CS chair

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  • Epstein Institute Seminar - ISE 651

    Tue, Apr 16, 2019 @ 03:30 PM - 04:50 PM

    Daniel J. Epstein Department of Industrial and Systems Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Ebru K. Bish, Associate Professor, Virginia Tech

    Talk Title: Public Health Screening: Models, Algorithms, and Policies

    Host: Dr. Sze-chuan Suen

    More Information: April 16, 2019.pdf

    Location: Ethel Percy Andrus Gerontology Center (GER) - 206

    Audiences: Everyone Is Invited

    Posted By: Grace Owh

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  • Mork Family Department of Chemical Engineering and Materials Science Seminar - Distinguished Lecture Series

    Tue, Apr 16, 2019 @ 04:00 PM - 12:21 PM

    Mork Family Department of Chemical Engineering and Materials Science

    Conferences, Lectures, & Seminars


    Speaker: Dr. Ruth Schwaiger, KIT

    Talk Title: 3D Nano-Architected Metamaterials

    Host: Dr. Andrea Hodge

    Location: John Stauffer Science Lecture Hall (SLH) - 200

    Audiences: Everyone Is Invited

    Posted By: Karen Woo/Mork Family

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  • MASCLE Machine Learning Seminar: Peter L. Bartlett (University of California, Berkeley) – Optimizing Probability Distributions for Learning: Sampling Meets Optimization

    Tue, Apr 16, 2019 @ 04:00 PM - 05:20 PM

    Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Peter L. Bartlett, University of California, Berkeley

    Talk Title: Optimizing Probability Distributions for Learning: Sampling Meets Optimization

    Series: Machine Learning Seminar Series

    Abstract: Optimization and sampling are both of central importance in large-scale machine learning problems, but they are typically viewed as very different problems. This talk presents recent results that exploit the interplay between them. Viewing Markov chain Monte Carlo sampling algorithms as performing an optimization over the space of probability distributions, we demonstrate analogs of Nesterov's acceleration approach in the sampling domain, in the form of a discretization of an underdamped Langevin diffusion. In the other direction, we view stochastic gradient optimization methods, such as those that are common in deep learning, as sampling algorithms, and study the finite-time convergence of their iterates to an invariant distribution.

    Joint work with Xiang Cheng, Niladri S. Chatterji, and Michael Jordan.

    This lecture satisfies requirements for CSCI 591: Research Colloquium.



    Biography: Peter Bartlett is a professor in the Computer Science Division and Department of Statistics and Associate Director of the Simons Institute for the Theory of Computing at the University of California at Berkeley. His research interests include machine learning and statistical learning theory. He is the co-author, with Martin Anthony, of the book Neural Network Learning: Theoretical Foundations. He has served as an associate editor of the journals Bernoulli, Mathematics of Operations Research, the Journal of Artificial Intelligence Research, the Journal of Machine Learning Research, and the IEEE Transactions on Information Theory, and as program committee co-chair for COLT and NIPS. He was awarded the Malcolm McIntosh Prize for Physical Scientist of the Year in Australia in 2001, and was chosen as an Institute of Mathematical Statistics Medallion Lecturer in 2008, an IMS Fellow and Australian Laureate Fellow in 2011, and a Fellow of the ACM in 2018. He was elected to the Australian Academy of Science in 2015.


    Host: Yan Liu, USC Machine Learning Center

    Location: Henry Salvatori Computer Science Center (SAL) - 101

    Audiences: Everyone Is Invited

    Posted By: Computer Science Department

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