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Events for the 2nd week of September
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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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Communications Hub: Writing and Speaking for PhD Students - Drop In HoursWed, 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
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: NhXrDOqQU8Location: 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 capacityLocation: 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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Communications 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
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
