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Events for the 2nd week of September

  • Epstein Institute, ISE 651 Seminar Class

    Tue, Sep 05, 2023 @ 03:30 PM - 04:50 PM

    Daniel J. Epstein Department of Industrial and Systems Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Victor Zavala, Baldovin-DaPra Professor, Department of Industrial and Systems Engineering, University of Wisconsin

    Talk Title: Graph-Structured Optimization: Properties, Algorithms, and Software

    Host: Prof. Suvrajeet Sen

    More Information: September 5, 2023.pdf

    Location: Social Sciences Building (SOS) - SOS Building, B2

    Audiences: Everyone Is Invited

    Contact: Grace Owh

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  • Repeating EventCommunications Hub: Writing and Speaking for PhD Students - Drop In Hours

    Wed, Sep 06, 2023 @ 10:00 AM - 01:00 PM

    Viterbi School of Engineering Student Affairs

    Workshops & Infosessions


    Viterbi Ph.D. Students!
    Need help with academic and professional writing and speaking tasks? Viterbi faculty at the Hub provide one-on-one help with journal and conference articles, dissertations, fellowship applications, and career communications!
    Drop by RTH 222A on MWF 10am-1pm or make an online appointment via email at eishub@usc.edu.

    Location: Ronald Tutor Hall of Engineering (RTH) - 222A

    Audiences: Graduate

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    Contact: Helen Choi

    Event Link: https://sites.google.com/usc.edu/eishub/home

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  • AME Seminar

    Wed, Sep 06, 2023 @ 03:30 PM - 04:30 PM

    Aerospace and Mechanical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Evangelos Theodorou , Georgia Institute of Technology

    Abstract: In this talk, I will present use cases for stochastic optimal control that span the areas of terrestrial high-speed navigation, control of VTOL vehicles for urban aerial mobility, large-scale multi-agent control, training of score-based models in generative AI, opinion dynamics depolarization and single cell RNA sequencing. The presentation will cover fundamental concepts in stochastic control theory that includes path integrals, Forward-Backward SDEs and Schrodinger Bridges, and highlight the importance of scalable optimization for large scale and real time decision-making. In the last part of the talk, we will look into different distributed optimization architectures for large-scale optimal control and conclude with future directions and vision at the intersection of autonomy, generative AI and large-scale optimization.

    Biography: Evangelos A. Theodorou is an Associate professor with the Guggenheim School of aerospace engineering at Georgia Institute of Technology and Amazon CORE-AI Scholar. He is also the director of the Autonomous Control and Decision Systems Laboratory, and he is affiliated with the Institute of Robotics and Intelligent Machines and the Center for Machine Learning Research at Georgia Tech. Evangelos Theodorou holds a BS in Electrical Engineering, from the Technical University of Crete (TUC), Greece in 2001. He has also received a MSc in Production Engineering from TUC in 2003, a MSc in Computer Science and Engineering from University of Minnesota in spring of 2007 and a MSc in Electrical Engineering on dynamics and controls from the University of Southern California(USC) in Spring 2010. In May of 2011 he graduated with his PhD, in Computer Science from USC. After his PhD, he was a Postdoctoral Research Fellow with the department of computer science and engineering, University of Washington, Seattle. Evangelos Theodorou is the recipient of the King-Sun Fu best paper award of the IEEE Transactions on Robotics in 2012 and a recipient several best paper awards and nominations in top conferences in machine learning and robotics communities. His theoretical research spans the areas of stochastic optimal control theory, machine learning and optimization. Applications involve learning, planning and control in autonomous, robotic and aerospace vehicles, multi-agent and large-scale systems, and dynamical systems in social sciences and biology.

    Host: AME Department

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

    Webcast: https://usc.zoom.us/j/98121141178?pwd=VGEyaXVWYnRaazFYWUVhbVAycGVWQT09 Meeting ID: 981 2114 1178 Passcode: NhXrDOqQU8

    Location: Seaver Science Library (SSL) - 202

    WebCast Link: https://usc.zoom.us/j/98121141178?pwd=VGEyaXVWYnRaazFYWUVhbVAycGVWQT09 Meeting ID: 981 2114 1178 Passcode: NhXrDOqQU8

    Audiences: Everyone Is Invited

    Contact: Tessa Yao

    Event Link: https://ame.usc.edu/seminars/

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  • Where are the Jobs? Uncovering the Hidden Job Market

    Wed, Sep 06, 2023 @ 04:00 PM - 05:00 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    THIS EVENT WILL BE HOSTED HYBRID: IN-PERSON & ONLINE SIMULTANEOUSLY

    Increase your career and internship knowledge on networking by attending this professional development Q&A moderated by Viterbi Career Connections staff.


    To access the ZOOM link and for more information on this workshop, log into Viterbi Career Gateway>> Events>>Workshops: https://shibboleth-viterbi-usc-csm.symplicity.com/sso/

    For more information about all workshops, please visit viterbicareers.usc.edu/workshops.

    For In-Person: Attendance is limited to room capacity

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

    Audiences: Everyone Is Invited

    Contact: RTH 218 Viterbi Career Connections

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  • DEN@Viterbi: How to Apply Virtual Info Session

    Thu, Sep 07, 2023 @ 12:00 PM - 01:00 PM

    DEN@Viterbi, Viterbi School of Engineering Graduate Admission

    Workshops & Infosessions


    Join USC Viterbi representatives for a step-by-step guide and tips for how to apply for formal admission into a Master's degree or Graduate Certificate program. The session is intended for individuals who wish to pursue a graduate degree program completely online via USC Viterbi's flexible online DEN@Viterbi delivery method.

    Attendees will have the opportunity to connect directly with USC Viterbi representatives and ask questions about the admission process throughout the session.

    Register Now!

    WebCast Link: https://uscviterbi.webex.com/weblink/register/re65c00dad56eb9183b8d64f4cd0392ab

    Audiences: Everyone Is Invited

    Contact: Corporate & Professional Programs

    Event Link: https://uscviterbi.webex.com/weblink/register/re65c00dad56eb9183b8d64f4cd0392ab

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  • Job Searching in the US

    Thu, Sep 07, 2023 @ 12:00 PM - 01:00 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    THIS EVENT WILL BE HOSTED HYBRID: IN-PERSON & ONLINE SIMULTANEOUSLY

    Increase your knowledge on the job/internship search by attending this professional development Q&A moderated by Viterbi Career Connections staff or Viterbi employer partners.


    To access the ZOOM link and for more information on this workshop, log into Viterbi Career Gateway>> Events>>Workshops: https://shibboleth-viterbi-usc-csm.symplicity.com/sso/

    For more information about all workshops, please visit viterbicareers.usc.edu/workshops.

    For In-Person: Attendance is limited to room capacity

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

    Audiences: Everyone Is Invited

    Contact: RTH 218 Viterbi Career Connections

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  • Quantum Science and Technology Seminar Series - Aziza Suleymanzade, Thursday, September 7th at 2pm in EEB 248

    Thu, Sep 07, 2023 @ 02:00 PM - 03:30 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Aziza Suleymanzade, Harvard Univeristy

    Talk Title: Quantum network based on color centers in diamond nanocavities

    Series: Quantum Science & Technology Seminar Series

    Abstract: Silicon Vacancy color centers in diamonds coupled to nanophotonic crystal cavities offer a promising platform for realizing quantum networks, combining long coherence times, efficient coupling to photons with high optical cooperativities, and on-chip scalability. In this talk, I will report on our recent progress toward the realization of such distributed quantum systems. In particular, I will describe experimental generation and long-lived storage of distributed entanglement across a two-node network separated by 40 km fiber. Finally, I will discuss potential applications of distributed entanglement, such as blind delegated computing and long-baseline interferometry.

    Biography: Aziza is a postdoc at Harvard in the group of Mikhail Lukin. She did her PhD at the University of Chicago in groups of Jon Simon and David Schuster, working on the transduction of single optical to millimeter wave photons using Rydberg atoms in cavities. Aziza got a Bachelor's degree from Harvard University and an MPhil from the University of Cambridge, where she built an experiment for generating potassium-39 BEC in a uniform box potential.

    Host: Quntao Zhuang, Wade Hsu, Mengjie Yu, Jonathan Habif, Eli Levenson-Falk

    More Information: Aziza Suleymanzade Flyer.pdf

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

    Audiences: Everyone Is Invited

    Contact: Marilyn Poplawski

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  • How to Search for a Job in Today’s Digital Age

    Thu, Sep 07, 2023 @ 04:00 PM - 05:00 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    THIS EVENT WILL BE HOSTED HYBRID: IN-PERSON & ONLINE SIMULTANEOUSLY

    Learn about how recruitment has changed in this virtual environment and review best practices by attending this professional development Q&A moderated by Viterbi Career Connections staff or Viterbi employer partners.


    To access the ZOOM link and for more information on this workshop, log into Viterbi Career Gateway>> Events>>Workshops: https://shibboleth-viterbi-usc-csm.symplicity.com/sso/

    For more information about all workshops, please visit viterbicareers.usc.edu/workshops.

    For In-Person: Attendance is limited to room capacity

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

    Audiences: Everyone Is Invited

    Contact: RTH 218 Viterbi Career Connections

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  • Bloomberg Engineering 101

    Thu, Sep 07, 2023 @ 06:00 PM - 07:00 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    Bloomberg Engineering 101 - Bloomberg Engineers will give an overview of their company, discuss life at Bloomberg, and their experiences working as software engineers.

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

    Audiences: Everyone Is Invited

    Contact: RTH 218 Viterbi Career Connections

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  • Repeating EventCommunications Hub: Writing and Speaking for PhD Students - Drop In Hours

    Fri, Sep 08, 2023 @ 10:00 AM - 01:00 PM

    Viterbi School of Engineering Student Affairs

    Workshops & Infosessions


    Viterbi Ph.D. Students!
    Need help with academic and professional writing and speaking tasks? Viterbi faculty at the Hub provide one-on-one help with journal and conference articles, dissertations, fellowship applications, and career communications!
    Drop by RTH 222A on MWF 10am-1pm or make an online appointment via email at eishub@usc.edu.

    Location: Ronald Tutor Hall of Engineering (RTH) - 222A

    Audiences: Graduate

    View All Dates

    Contact: Helen Choi

    Event Link: https://sites.google.com/usc.edu/eishub/home

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  • Alfred E.Mann Department of Biomedical Engineering - Seminar series

    Fri, Sep 08, 2023 @ 11:00 AM - 12:00 PM

    Alfred E. Mann Department of Biomedical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Yu-Ping Wang, Professor of Biomedical Engineering, Computer Sciences, Neurosciences, and Biostatistics & Data Sciences at Tulane University.

    Talk Title: Interpretable multimodal deep learning with application to brain imaging and genomics data fusion

    Abstract: Deep network-based data fusion models have been developed to integrate complementary information from multi-modal datasets while capture their complex relationships. This is particularly useful in biomedical domain, where multi-modal data such as imaging and multi-omics are ubiquitous and the integration of these heterogenous data can lead to novel biological findings. However, deep learning models are often difficult to interpret, bringing about challenges for uncovering biological mechanisms using these models. In this work, we develop an interpretable multimodal deep learning-based fusion model to perform automated disease diagnosis and result interpretation simultaneously. We name it Grad-CAM guided convolutional collaborative learning (gCAM-CCL), which is achieved by combining intermediate feature maps with gradient-based weights in a multi-modal convolution network. The gCAM-CCL model can generate interpretable activation maps to quantify pixel-level contributions of the input fMRI imaging features. Moreover, the estimated activation maps are class-specific, which can therefore facilitate the identification of imaging biomarkers underlying different populations such as age, gender and cognitive groups. Finally, we apply and validate the gCAM-CCL model in the study of brain development with integrative analysis of multi-modal brain imaging and genomics data. We demonstrate its successful application to both the classification of cognitive function groups and the discovery of underlying genetic mechanisms.

    Biography: Dr. Yu-Ping Wang received the BS degree in applied mathematics from Tianjin University, China, in 1990, and the MS degree in computational mathematics and the PhD degree in communications and electronic systems from Xi'an Jiaotong University, China, in 1993 and 1996, respectively. After his graduation, he had visiting positions at the Center for Wavelets, Approximation and Information Processing of the National University of Singapore and Washington University Medical School in St. Louis. From 2000 to 2003, he worked as a senior research engineer at Perceptive Scientific Instruments, Inc., and then Advanced Digital Imaging Research, LLC, Houston, Texas. In the fall of 2003, he returned to academia as an assistant professor of computer science and electrical engineering at the University of Missouri-Kansas City. He is currently a Professor of Biomedical Engineering, Computer Sciences, Neurosciences, and Biostatistics & Data Sciences at Tulane University. Dr. Wangs recent effort has been bridging the gap between biomedical imaging and genomics, where has over 300 peer reviewed publications. Dr. Wang is a fellow of AIMBE and has served for numerous program committees and NSF and NIH review panels. He is currently an associate editor for J. Neuroscience Methods, IEEE/ACM Trans. Computational Biology and Bioinformatics (TCBB) and IEEE Trans. Medical Imaging (TMI). More about his research can be found at his website: http://www.tulane.edu/~wyp/

    Host: Qifa Zhou

    More Info: zoom link available upon request

    Location: Olin Hall of Engineering (OHE) - 136

    Audiences: Everyone Is Invited

    Contact: Carla Stanard

    Event Link: zoom link available upon request

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