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Conferences, Lectures, & Seminars
Events for September

  • Epstein Institute - ISE 651 Seminar

    Tue, Sep 06, 2022 @ 03:30 PM - 04:50 PM

    Daniel J. Epstein Department of Industrial and Systems Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Kimon Drakopoulos, Robert R. Dockson Assistant Professor in Business Administration, Department of Data Sciences and Operations, USC Marshall

    Talk Title: Efficient and Targeted COVID-19 Border Testing Via Reinforcement Learning

    Host: Dr. Phebe Vayanos

    More Information: September 6, 2022.pdf

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

    Audiences: Everyone Is Invited

    Contact: Grace Owh

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  • AME Seminar

    Wed, Sep 07, 2022 @ 03:30 PM - 04:30 PM

    Aerospace and Mechanical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Cristina Davis, UC Davis

    Talk Title: Advances in exhaled breath metabolomics analysis and diagnostics

    Abstract: There is an entire field of research dedicated to the chemical analysis of exhaled breath, and the enticing promise of non-invasive medical diagnostics and monitoring. Biomarker detection and identification in breath rests on appropriate sampling and analysis protocols, which are now well established. There is compelling evidence breath chemicals change over time in response to illness and overall health and exposures. Exhaled breath is comprised of both breath gas vapors (CO2, NO, volatile organic compounds) and small diameter breath aerosols (with proteins, peptides, drugs and large metabolites frequently observed in blood). We have advanced controlled breath sampling systems for exhaled breath vapors (EBV) and exhaled breath condensate (EBC) which samples both the gas and aerosol breath fractions. We have also developed mass spectrometry-based analysis methodologies and directly compare metabolite coverage in EBC to guide sampling and methodology choices. We have used this approach to measure large molecules in EBC that are physiologically relevant (e.g. drugs and inflammatory biomarkers), and we have developed devices appropriate to use in clinical settings

    Biography: Dr. Cristina Davis is a Professor of Mechanical and Aerospace Engineering at the University of California, Davis (Davis, CA). Her research group focuses on creating miniature analytical sensor systems for mobile chemical detection platforms and human performance monitoring. Final system integration of her devices yields analyzers that are specifically tailored for various high impact application areas including biomedical monitoring and surveillance for precision medicine.

    Prof. Davis earned her BS degree (1994) at Duke University with a double major in mathematics and biology. She went on to complete her MS (1996) and PhD (1999) in biomedical engineering at the University of Virginia focusing on novel biosensor research. She then worked on silicon-chip based biosensors during a postdoctoral fellowship at The Johns Hopkins University. She then worked in industry in Switzerland and then to become a Principal Member of the Technical Staff and the founding Group Leader of Bioengineering at The Charles Stark Draper Laboratory (Cambridge, MA) Having spent almost a half-decade in the national labs and industry, she returned to academia in November 2005.

    She served as a Member of the Scientific Advisory Board (SAB) for the United States Air Force (2014-2018), and is a Fellow of the American Institute for Medical and Biological Engineering (AIMBE), the American Association for the Advancement of Science (AAAS) and National Academy of Inventors (NAI). She has been a Co-Founder and Scientific Advisor to three start-ups based on her research.

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

    Webcast: https://usc.zoom.us/j/98775609685?pwd=a2lSd01oY0o2KzA4VWphbGxjWk5Qdz09

    Location: Seaver Science Library (SSL) - 202

    WebCast Link: https://usc.zoom.us/j/98775609685?pwd=a2lSd01oY0o2KzA4VWphbGxjWk5Qdz09

    Audiences: Everyone Is Invited

    Contact: Tessa Yao

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  • ECE Seminar - Deconstructing Distributed Deep Learning (and other problems)

    Thu, Sep 08, 2022 @ 10:00 AM - 11:00 AM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Leana Golubchik, Stephen and Etta Varra Professor, Viterbi School of Engineering

    Talk Title: Deconstructing Distributed Deep Learning (and other problems)

    Abstract: Deep learning has made substantial strides in many applications. New training techniques, larger datasets, increased computing power, and easy-to-use machine learning frameworks all contribute to this success. An important missing piece is that deep learning frameworks do not assist users with provisioning cloud resources; most users need to try different job configurations to determine the resulting training performance. When resources are shared among hundreds of jobs, this approach quickly becomes infeasible. At a larger scale, when multiple datacenters need to manage deep learning (and other) workloads, different degrees of affinity for their resources create incentives to collaborate, e.g., as in cloud federations. In this talk, I will focus on our approach to predicting performance metrics and scheduling algorithms that use these metrics to guide resource allocation. Our goal is to broaden the population of users capable of developing deep learning models and applying them to novel applications. I will also discuss resource sharing for such workloads, mainly in the context of hybrid cloud federations, and conclude with some future directions.

    Biography: Leana Golubchik is the Stephen and Etta Varra Professor at USC. She also serves as the Director of the Women in Science and Engineering (WiSE) program. Prior to that, she was on the faculty at the University of Maryland and Columbia University. Leana received her PhD from UCLA. Her research interests are broadly in the design and evaluation of large scale distributed systems, including hybrid clouds and data centers and their applications in data analytics, machine learning, and privacy. Leana received several awards, including the IBM Faculty Award, the NSF CAREER Award, the Okawa Foundation Award, the WTS-LA Diversity Leadership Award, the USC Remarkable Women Award, and the USC Mellon Culture of Mentoring Award. She is the Editor-in-Chief of the ACM Transactions on Modeling and Performance Evaluation of Computing Systems (TOMPECS) and on the Editorial Board of the Performance Evaluation journal as well as a member of the IFIP WG 7.3 (elected in 2000). She is a Fellow of AAAS.

    Host: Dr. Richard M. Leahy (leahy@sipi.usc.edu)

    Webcast: https://usc.zoom.us/j/92960680288?pwd=QndJKzUrSlVsaXZCSkJKRTlldTN0UT09

    More Information: ECE Seminar Announcement-Golubchik-090822.pdf

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

    WebCast Link: https://usc.zoom.us/j/92960680288?pwd=QndJKzUrSlVsaXZCSkJKRTlldTN0UT09

    Audiences: Everyone Is Invited

    Contact: Mayumi Thrasher

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  • Civil and Environmental Engineering Seminar

    Thu, Sep 08, 2022 @ 02:00 PM - 03:00 PM

    Sonny Astani Department of Civil and Environmental Engineering

    Conferences, Lectures, & Seminars


    Speaker: Prof. Amir H. Behzadan, Texas A&M

    Talk Title: Human-Built Environment Interface: New Frontiers in Artificial Intelligence and Urban Computing

    Abstract: See attachment

    Host: Prof Burcin Becerik & Prof Lucio Soibelman

    More Information: Amir H. Behzadan Seminar.pdf

    Location: Ronald Tutor Hall of Engineering (RTH) - 526

    Audiences: Everyone Is Invited

    Contact: Salina Palacios

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

    Fri, Sep 09, 2022 @ 11:00 AM - 12:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Oscar Morales-Ponce, Department of Engineering and Computer Science at California State University, Long Beach

    Talk Title: Distributed Algorithms for Mobile Robots

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

    Abstract: A set of inexpensive mobile robots can work together to solve different tasks efficiently. However, the design and analysis of correct algorithms are challenging and require careful analysis. In this talk, we present recent results of distributed algorithms for mobile robots. Then, we present a new framework that aims to simplify the implementation of distributed algorithms in physical robots and conclude with some preliminary results.

    Biography: Dr. Oscar Morales-Ponce is an Associate Professor in the Department of Engineering and Computer Science at California State University, Long Beach. Dr. Morales-Ponce's research focuses on the design and analysis of distributed algorithms for mobile robots. He has applied his theoretical research to cyber-physical systems. His research interests include theoretical and practical aspects of distributed computing, wireless sensor networks, mobile robots, and computational geometry.


    Zoom Meeting ID: 973 4638 7081
    Zoom Passcode: 47519


    Host: Bhaskar Krishnamachari, bkrishna@usc.edu

    Webcast: https://usc.zoom.us/j/97346387081?pwd=WlVsemQ0dUhmYzR1WC84Nk5Ua1hzUT09

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

    WebCast Link: https://usc.zoom.us/j/97346387081?pwd=WlVsemQ0dUhmYzR1WC84Nk5Ua1hzUT09

    Audiences: Everyone Is Invited

    Contact: Talyia White

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  • Ming Hsieh Institute Seminar Series on Integrated Systems

    Fri, Sep 09, 2022 @ 02:00 PM - 03:30 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Jaydeep Kulkarni, Assistant Professor, The University of Texas at Austin

    Talk Title: Ising-Memory: Advancing Combinatorial Optimization Accelerators with Ising Computations in Memory

    Host: Hossein Hashemi, Mike Chen and Constantine Sideris

    More Information: MHI Seminar Series IS - Jaydeep Kulkarni.pdf

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

    Audiences: Everyone Is Invited

    Contact: Jenny Lin

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  • CS Colloquium: Chris Heckman (University of Colorado at Boulder) - Failure is Not an Option: Our Techniques at the DARPA Subterranean Challenge, Lessons Learned, and Next Steps

    Tue, Sep 13, 2022 @ 03:30 PM - 04:50 PM

    Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Chris Heckman, University of Colorado at Boulder

    Talk Title: Failure is Not an Option: Our Techniques at the DARPA Subterranean Challenge, Lessons Learned, and Next Steps

    Series: Computer Science Colloquium

    Abstract: When we in the robotics research community think of what we'd like autonomous agents to tackle in the future, we often target "dull, dirty, and dangerous" tasks. However, despite a sustained boom in robotics research over the last decade, the number of places we've seen robotics in use for these tasks has been uninspiring. Successful commercialization of autonomous robots have required significant human scaffolding through teleoperation, and incredible amounts of capital, to achieve, and despite this are still limited by brittle systems and hand-engineered components. The reality seems to be that these tasks are not nearly as dull as they might seem on the surface, and instead require ingenuity for success some small but critical fraction of the time. In this talk, I focus on my recent investigation into where the limits of autonomy are for the highly sought-after application to subterranean emergency response operations. This application was motivated by the DARPA Subterranean Challenge, which just last year concluded with the CU Boulder team "MARBLE" taking third place and winning a $500,000 prize. In this talk, I will give an overview into the genesis of our solution over three years of effort, especially with respect to mobility, autonomy, perception, and communications. I'll also discuss the implications for present-day robotic autonomy and where we go from here.

    Prof. Heckman will give his talk in person at RTH 115 and we will also host the talk over Zoom.

    Register in advance for this webinar at:

    https://usc.zoom.us/webinar/register/WN_2KFODX4RQ6WMU12J6IsIHg

    After registering, attendees will receive a confirmation email containing information about joining the webinar.

    This lecture satisfies requirements for CSCI 591: Research Colloquium.



    Biography: Chris Heckman is an Assistant Professor in the Department of Computer Science at the University of Colorado at Boulder and the Jacques I. Pankove Faculty Fellow in the College of Engineering & Applied Science. He is also a Visiting Academic with Amazon Scout, where he is addressing last-mile delivery by developing autonomous robots on sidewalks. He earned his BS in Mechanical Engineering from UC Berkeley in 2008 and his PhD in Theoretical and Applied Mechanics from Cornell University in 2012, where he was an NSF Graduate Research Fellow. He had postdoctoral appointments at the Naval Research Laboratory in Washington, DC as an NRC Research Associate, and at CU Boulder as a Research Scientist, before joining the faculty there in 2016.

    Heckman's research focuses on autonomy, perception, field robotics, machine learning and artificial intelligence. He directs the Autonomous Robotics and Perception Group, a dynamic and close-knit research team aiming to develop practical and explainable techniques in probabilistic artificial intelligence. His work in computer vision, machine learning and sensor fusion has applications to intelligence, defense, and environmental monitoring. His robotics work is used by both government and industry partners in the development of autonomous vehicles, agricultural platforms and other mobile robots including for medicine, search & rescue, and automation. https://www.colorado.edu/cs/christoffer-heckman


    Host: Stefanos Nikolaidis

    Webcast: https://usc.zoom.us/webinar/register/WN_2KFODX4RQ6WMU12J6IsIHg

    Location: Ronald Tutor Hall of Engineering (RTH) - 115

    WebCast Link: https://usc.zoom.us/webinar/register/WN_2KFODX4RQ6WMU12J6IsIHg

    Audiences: Everyone Is Invited

    Contact: Department of Computer Science

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  • Epstein Institute - ISE 651 Seminar

    Tue, Sep 13, 2022 @ 03:30 PM - 04:50 PM

    Daniel J. Epstein Department of Industrial and Systems Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Roshan V. Joseph, Professor, H. Milton Stewart School of Industrial & Systems Engineering, Georgia Tech

    Talk Title: Space-Filling Points

    Host: Prof. Qiang Huang

    More Information: September 13, 2022.pdf

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

    Audiences: Everyone Is Invited

    Contact: Grace Owh

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  • ECE Seminar

    Wed, Sep 14, 2022 @ 11:00 AM - 12:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Rodney Van Meter, Professor / Keio University

    Talk Title: A Quantum Internet Architecture

    Abstract: Entangled quantum communication is advancing rapidly, with laboratory and metropolitan testbeds under development, but to date there is no unifying Quantum Internet architecture. We propose a Quantum Internet architecture centered around the Quantum Recursive Network Architecture (QRNA), using RuleSet-based connections established using a two-pass connection setup. Scalability and internetworking (for both technological and administrative boundaries) are achieved using recursion in naming and connection control. In the near term, this architecture will support end-to-end, two-party entanglement on minimal hardware, and it will extend smoothly to multi-party entanglement and the use of quantum error correction on advanced hardware in the future. For a network internal gateway protocol, we recommend (but do not require) qDijkstra with seconds per Bell pair as link cost for routing; the external gateway protocol is designed to build recursively. The strength of our architecture is shown by assessing extensibility and demonstrating how robust protocol operation can be confirmed using the RuleSet paradigm.

    Biography: Rodney Van Meter received a B.S. in engineering and applied science from the California Institute of Technology in 1986, an M.S. in computer engineering from the University of Southern California in 1991, and a Ph.D. in computer science from Keio University in 2006. His current research centers on quantum computer architecture, quantum networking and quantum education. He is the author of the book _Quantum Networking_. Other research interests include storage systems, networking, and post-Moore's Law computer architecture. He is now a Professor of Environment and Information Studies at Keio University's Shonan Fujisawa Campus. He is the Vice Center Chair of Keio's Quantum Computing Center, co-chair of the Quantum Internet
    Research Group, a leader of the Quantum Internet Task Force, and a board member of the WIDE Project. Dr. Van Meter is a member of AAAS, ACM, APS, and IEEE. He is currently Editor in Chief of IEEE Transactions on Quantum Engineering, but this talk is 100% personal opinions.


    Host: Todd Brun

    Webcast: https://usc.zoom.us/j/92417517950?pwd=WUkycy90cndVQko5R3RhQ1U3STBDdz09

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

    WebCast Link: https://usc.zoom.us/j/92417517950?pwd=WUkycy90cndVQko5R3RhQ1U3STBDdz09

    Audiences: Everyone Is Invited

    Contact: Corine Wong

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

    Wed, Sep 14, 2022 @ 02:00 PM - 03:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Bharadwaj Satchidanandan, Massachusetts Institute of Technology

    Talk Title: Mechanism Design for Next-Generation Electricity Markets

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

    Abstract: The power system is on the cusp of a revolution. The coming decade could witness increased renewable energy penetration, Electric Vehicle (EV) penetration, EV energy storage integration, demand response programs, etc. These changes have a profound impact on electricity market operations. New mechanisms must be devised to address a variety of important problems that are anticipated to arise in next-generation electricity markets. Most of the existing mechanism design settings are insufficient to model certain crucial features of these problems. To address this, we introduce the setting of Two-Stage Repeated Stochastic Games using which many problems that arise in the context of electricity markets can be readily modeled. We then present a mechanism for two-stage repeated stochastic games that implements truth-telling as a Dominant Strategy Non-Bankrupting Equilibrium --- a new notion of equilibrium that we have introduced for games. The mechanism also guarantees individual rationality and maximizes social welfare.

    Biography: Bharadwaj Satchidanandan is a postdoctoral researcher at Massachusetts Institute of Technology where he is advised by Prof. Munther Dahleh. He received his Ph.D. in 2019 from Texas A&M University where he was advised by Prof. P. R. Kumar. His research interests include cyber-physical systems, security, renewable energy, mechanism design, game theory, etc.

    Host: Pierluigi Nuzzo, nuzzo@usc.edu

    Webcast: https://usc.zoom.us/j/98083929768?pwd=SUJreHk0N0ZXbk5QZ1ZPUkRlM3FmZz09

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

    WebCast Link: https://usc.zoom.us/j/98083929768?pwd=SUJreHk0N0ZXbk5QZ1ZPUkRlM3FmZz09

    Audiences: Everyone Is Invited

    Contact: Talyia White

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  • AME Seminar

    Wed, Sep 14, 2022 @ 03:30 PM - 04:30 PM

    Aerospace and Mechanical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Werner Dahm, Arizona State University

    Talk Title: Adaptive Scale-Similar Closure: Toward the Most General Stabilized Subgrid Model for Multi-Physics LES

    Abstract: This seminar presents an adaptive scale-similar closure approach that can dynamically represent any subgrid term accurately and stably even at the smallest resolved scales of a simulation. The approach is based on scale similarity and generalized representations from the complete and minimal tensor representation theory of Smith (1971). At each point, the local tensor polynomial coefficients adapt to the local turbulence state via system identification at a test-filter scale and rescaling to the LES-scale. The methodology is demonstrated by applying it to the subgrid stress and subgrid scalar flux. Resulting fields for the subgrid terms and production rates are nearly indistinguishable from corresponding true fields, and are far more accurate than traditional subgrid models. Stability is ensured by a physics-based rational Boolean stabilization method, which uses the local subgrid production and subgrid redistribution rates to determine how individual subgrid components must be rescaled to provide local backward-transfer reduction or forward-transfer amplification. This produces only very small changes in the highly accurate fields for the subgrid terms and production rates that result from this new closure methodology. Together, adaptive scale-similar closure and rational Boolean stabilization essentially solve two key problems that have previously limited the accuracy of multi-physics large eddy simulations.

    Biography: Werner J.A. Dahm is Professor Emeritus of Aerospace Engineering at the University of Michigan, where he was on the faculty for 25 years, and since 2010 has been the ASU Foundation Professor of mechanical and Aerospace Engineering at Arizona State University. Previously he served in the Pentagon as the Chief Scientist of the U.S. Air Force, and in numerous senior technical advisory roles, including on the Air Force Scientific Advisory Board since 2005 and as Chair of the Board from 2014-2017. He is an AIAA Fellow, an APS Fellow, and recipient of the Air Force Decoration for Exceptional Civilian Service and the Secretary of the Air Force Distinguished Public Service Award.

    Host: AME Department

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

    Webcast: https://usc.zoom.us/j/98775609685?pwd=a2lSd01oY0o2KzA4VWphbGxjWk5Qdz09

    Location: Seaver Science Library (SSL) - 202

    WebCast Link: https://usc.zoom.us/j/98775609685?pwd=a2lSd01oY0o2KzA4VWphbGxjWk5Qdz09

    Audiences: Everyone Is Invited

    Contact: Tessa Yao

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  • CEE Seminar Series - Prof. Vineet R. Kamat - University of Michigan

    Thu, Sep 15, 2022 @ 02:00 PM - 03:00 PM

    Sonny Astani Department of Civil and Environmental Engineering

    Conferences, Lectures, & Seminars


    Speaker: Vineet R. Kamat, University of Michigan

    Talk Title: Levels of Human-“Robot Collaboration in Field Construction Work

    Abstract: See attached

    Host: Lucio Soibelman and Burcin Becerik

    Webcast: https://usc.zoom.us/j/98445798429 password 960488

    Location: VIRTUAL - ZOOM ONLY

    WebCast Link: https://usc.zoom.us/j/98445798429 password 960488

    Audiences: Everyone Is Invited

    Contact: Salina Palacios

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  • CEE Seminar Series - Prof. Vineet R. Kamat - University of Michigan

    Thu, Sep 15, 2022 @ 02:00 PM - 03:00 PM

    Sonny Astani Department of Civil and Environmental Engineering

    Conferences, Lectures, & Seminars


    Speaker: Vineet R. Kamat, University of Michigan

    Talk Title: Levels of Human-“Robot Collaboration in Field Construction Work

    Abstract: See attached

    Host: Lucio Soibelman and Burcin Becerik

    Webcast: https://usc.zoom.us/j/98445798429 password 960488

    More Information: Amir H. Behzadan Seminar.pdf

    Location: VIRTUAL - ZOOM ONLY

    WebCast Link: https://usc.zoom.us/j/98445798429 password 960488

    Audiences: Everyone Is Invited

    Contact: Salina Palacios

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  • Medical Imaging Seminar Series

    Fri, Sep 16, 2022 @ 11:00 AM - 12:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Yunsong Liu, Electrical and Computer Engineering, University of Southern California

    Talk Title: Optimization Methods and Algorithms for Constrained Magnetic Resonance Imaging

    Series: Medical Imaging Seminar Series

    Abstract: Constrained MRI methods have shown great potential to improve the well-known trade-offs that exist in MRI between data acquisition time, signal-to-noise-ratio, and spatial resolution. In constrained MRI, we utilize prior information about the characteristics of the underlying MRI images to perform data acquisition, image reconstruction, and image analysis tasks more efficiently. This approach generally requires the use of mathematical optimization techniques, although the optimization problems are often challenging to solve efficiently due to their large-scale and non-trivial structure.

    In this presentation, I will discuss three novel contributions I have made to mathematical optimization for constrained MRI. First, I will discuss work that utilizes phase constraints to accelerate MRI data acquisition based on non-Fourier radiofrequency encoding. While phase constraints are used classically in MRI, we believe that this is the first time that phase constraints are being applied to enable acceleration along a non-Fourier encoded spatial dimension. We make the novel observation that phase constraints can indeed be successfully used to reduce the number of required non-Fourier encodings, although this requires careful design of the non-Fourier encoding scheme. Results are presented in the context of gSlider, an acquisition method designed for highly-efficient high-resolution diffusion MRI. Second, we will describe a new algorithm we have developed that is designed for the separate regularization of magnitude and phase in MRI reconstruction problems. Our approach is based on a novel application of the proximal alternating linearized minimization algorithm (PALM), and incorporates additional novel features (i.e., Nesterov's momentum and independent selection of the step sizes for each coordinate) to increase convergence speed. Depending on the application, our proposed algorithm can be hundreds of times faster than existing algorithms for this problem. Finally, we will describe a novel algorithm that we have developed for spatial-spectral partial volume compartment mapping with applications to multicomponent diffusion and relaxation MRI. Our proposed algorithm is based on a novel application of the linearized alternating directions method of multipliers (LADMM) approach that takes advantage of the special structure of the inverse problem, and depending on the dataset, can achieve up to 5-fold acceleration compared to previous algorithms for this problem.

    Biography: Yunsong Liu is a PhD candidate in Electrical and Computer Engineering at University of Southern California, supervised by Prof. Justin Haldar. He obtained his Bachelor's and Master's degree in Electrical Engineering at Xiamen University, China. He then spent half a year working on structured matrix recovery in Math Department at Hong Kong University of Science and Technology before joining Prof. Haldar's group at USC. His research has been focused on signal processing and optimization with applications in MRI.

    Host: Justin Haldar, jhaldar@usc.edu

    Webcast: https://usc.zoom.us/j/92068313291?pwd=MnlVUTJrWkRpUVdQYU04S2t4cUVjZz09

    Location: Online

    WebCast Link: https://usc.zoom.us/j/92068313291?pwd=MnlVUTJrWkRpUVdQYU04S2t4cUVjZz09

    Audiences: Everyone Is Invited

    Contact: Talyia White

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  • ECE-EP Seminar - Dr. Kaiyuan Yang, Friday, September 16th at 2pm in EEB 248

    Fri, Sep 16, 2022 @ 02:00 PM - 03:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Kaiyuan Yang, Rice University

    Talk Title: Tackling the Energy Limitations in Miniaturized Internet of Everything Devices

    Abstract: Following Moore's law and Bell's law, miniaturization of electronic devices is continuously transforming the human life and the society. The next generation miniature devices are envisioned to ubiquitously connect physical objects in the world, digitizing cities, homes, industries, and human health and medicine. The major challenge in building these emerging hardware platforms is achieving all the desired sensing, computing, communication, and security functionalities under extreme power and size constraints. In this talk, I will present our recent efforts on unconventional circuit and systems designs to enable millimetric implantable bioelectronic medicine, and escalating security and intelligence of all sorts of edge devices. We take holistic design approaches to alleviate the energy issues without compromising system usability, exploring cross-disciplinary co-design opportunities from materials and devices, all the
    way up to computing algorithms and programming languages. Specifically, I will present (1) magnetoelectric power and data transfer technologies to millimeter-sized battery-free bioelectronic implants, with system integrations and validations; (2) hardware-enabled foundational security primitives and modules fitting stringent power and cost budgets; and (3) processing in-memory systems for deep learning and stream processing with cross-layer designs.


    Biography: Dr. Kaiyuan Yang is currently an Assistant Professor of ECE at Rice University, USA. He received his B.S. degree in Electronic Engineering from Tsinghua University, China, in 2012, and his Ph.D. degree in Electrical Engineering from the University of Michigan, Ann Arbor, MI, in 2017. His research interests include digital and mixed-signal circuit and system design for secure and intelligent microsystems, bioelectronics, and hardware security.
    Dr. Yang is a recipient of the 2022 National Science Foundation (NSF) CAREER award, 2016 IEEE SSCS Predoctoral Achievement Award, and multiple best paper awards from premier conferences in various fields, including 2021 IEEE Custom Integrated Circuit Conference (CICC), 2016 IEEE Symposium on Security and Privacy (Oakland), 2015 IEEE International Symposium on Circuits
    and Systems (ISCAS), and the Best Student Paper Award finalist at 2022 RFIC and 2019 CICC. He is currently serving as an associate editor of IEEE TVLSI and a co-chair of SSCS Houston chapter.


    Host: Prof. Hashemi, Prof. Chen and Prof. Sideris

    More Information: Abstract and Bio-Sept 16-Yang.pdf

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

    Audiences: Everyone Is Invited

    Contact: Marilyn Poplawski

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  • Epstein Institute - ISE 651 Seminar

    Tue, Sep 20, 2022 @ 03:30 PM - 04:50 PM

    Daniel J. Epstein Department of Industrial and Systems Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Krishna Rajan , Professor, Dept. of Materials Design and Innovation, University of Buffalo

    Talk Title: Mapping Information Connectivity in Materials Science

    Host: Prof. Carl Kesselman

    More Information: September 20, 2022.pdf

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

    Audiences: Everyone Is Invited

    Contact: Grace Owh

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  • Catalyst Discovery for Metal-Free, Photoredox CO2 Reduction

    Tue, Sep 20, 2022 @ 04:00 PM - 05:20 PM

    Mork Family Department of Chemical Engineering and Materials Science

    Conferences, Lectures, & Seminars


    Speaker: Dr. Shaama Sharada, Assistant Professor

    Talk Title: Catalyst Discovery for Metal-Free, Photoredox CO2 Reduction

    Abstract: Organic photoredox catalysis will be an important part of an energy-efficient, sustainable future as these
    catalysts can access highly reactive states upon excitation and quenching to carry out reactions that are
    otherwise thermally inaccessible or energy-intensive. Our group aims to identify sustainable photoredox
    routes for CO2 utilization. Prior experiments show that a simple organic chromophore, p-terphenyl, can
    reduce and transform CO2 into useful molecules such as amino acids. However, the steps of the photoredox
    cycle and reasons for low turnover numbers of these catalysts are poorly understood. Our goal is to utilize
    quantum chemistry methods to delineate mechanisms of key steps in this cycle and leverage these insights to
    drive discovery of novel chromophores that are both active and yield high turnover numbers. Thus far, we
    have demonstrated that the electron transfer (ET) step from the p-terphenyl radical anion to CO2 is adiabatic,
    and ET barriers are lowered when electron-donating groups are substituted to p- terminal positions of the
    catalyst. To probe degradation pathways from the excited state, we are establishing a protocol for calculation
    and characterization of excited-state donor-acceptor charge transfer complexes in collaboration with the
    Dawlaty group (USC). We are also taking our first steps towards driving discovery of new chromophores by
    implementing a genetic algorithm (GA) whose fitness function factors in both catalyst activity and
    degradation resistance by means of simple descriptors obtained from routine DFT calculations. The GA yields
    several candidates that are more viable than experimentally studied terphenyls, highlighting the importance of
    automated computational tools in accelerating experimental efforts.

    Biography: Dr. Shaama Mallikarjun Sharada is the WiSE Gabilan Assistant Professor in the Mork Family Department of
    Chemical Engineering and Materials Science and Assistant Professor in the Department of Chemistry at USC.
    Her research interests span the development and application of quantum chemistry methods to design catalysts
    for sustainable chemistry transformations. Her group is developing efficient algorithms, inspired from signal
    processing, for advancing sophisticated rate theories in catalysis. The group is also establishing frameworks for
    catalyst design and discovery towards efficient natural gas conversion and light-assisted carbon dioxide
    utilization. Dr. Sharada received her Bachelors and Masters in Chemical Engineering from the Indian Institute
    of Technology, Bombay (India) where she was awarded the Institute Gold Medal. She received her PhD in
    Chemical Engineering from UC Berkeley in 2015 for developing efficient reaction path search algorithms for
    catalysis. As a postdoctoral researcher at Stanford University, her work spanned the development of machine
    learning density functionals and surface chemistry benchmarking databases. She is a recipient of the 2022
    inaugural Chevron Research Innovation Award (USC) and the 2020 ACS Petroleum Research Fund Doctoral New Investigator Award. She is also a Scialog Fellow for the Negative Emissions Science initiative.

    Host: Mork Family Department

    More Information: Shaama Sharada Seminar Flyer 9 20.pdf

    Location: James H. Zumberge Hall Of Science (ZHS) - 352

    Audiences: Everyone Is Invited

    Contact: Anthony Tritto

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

    Wed, Sep 21, 2022 @ 02:00 PM - 03:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Luca Geretti, Computer Science Department at the University of Verona (Italy)

    Talk Title: High-Order Differential Inclusions for Continuous Decomposition of Nonlinear Dynamical Systems

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

    Abstract: Formal verification of nonlinear dynamical systems particularly suffers the curse of dimensionality. While linear systems of tens of variables can be successfully analyzed, it is not the case of systems where symbolic methods are generally infeasible. A numerical approach to the problem would require decoupling the system in order to reduce the dimensions of each subsystem and consequently mitigate the problem. In this lecture we propose a solution based on high-order differential inclusions, which can be used to replace coupling variables with bounded input noises. The formulation for differential inclusions for nonlinear systems is provided, along with a discussion on its implementation in the Ariadne library for rigorous numerics. We also compare the performance and scalability with the current state-of-the-art on tools for the analysis of nonlinear open dynamical systems.

    Biography: Luca Geretti is currently a research associate at the Computer Science department of the University of Verona (Italy). He obtained his master's degree in Electronics Engineering at the University of Udine (Italy) with a thesis on "Design and FPGA implementation of stochastic feed-forward neural networks" and his PhD degree in Computer Engineering from the same institute, while switching his focus to "Autonomy and collaboration in ad-hoc mobile networks". He then moved to Verona to work on formal verification of nonlinear hybrid systems. He currently leads the Nonlinear group for the yearly ARCH competition of formal verification tools, where he also participates with the Ariadne software of which is the main engineer. From October 2022 he will be a research scholar at the University of Southern California.

    Host: Pierluigi Nuzzo, nuzzo@usc.edu

    Webcast: https://usc.zoom.us/webinar/register/WN_ySGInGwKRKKHX7NHJwTk3Q

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

    WebCast Link: https://usc.zoom.us/webinar/register/WN_ySGInGwKRKKHX7NHJwTk3Q

    Audiences: Everyone Is Invited

    Contact: Talyia White

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  • CEE Seminar Series

    Wed, Sep 21, 2022 @ 02:00 PM - 03:00 PM

    Sonny Astani Department of Civil and Environmental Engineering

    Conferences, Lectures, & Seminars


    Speaker: Jaehong Kim, Yale University

    Talk Title: Toward Single Atom Catalysis for Environmental Application

    Abstract: See attached

    Host: Daniel McCurry, PhD

    More Information: Kim_Announcement.pdf

    Location: Ray R. Irani Hall (RRI) - 101

    Audiences: Everyone Is Invited

    Contact: Salina Palacios

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  • CAIS Seminar: Carl Castro (USC) - Challenges of Military Veterans Transitioning Back to Their Civilian Communities

    Wed, Sep 21, 2022 @ 02:00 PM - 03:00 PM

    Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Carl Castro, University of Southern California

    Talk Title: Challenges of Military Veterans Transitioning Back to Their Civilian Communities

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

    Abstract: Military service involves integrating into a unique military culture that may involve experiencing a number of life-threatening traumas, including combat, sexual assault and suicide. These traumas may result in unresolved or ongoing mental and physical health issues that can significantly impact a successful transition of service members back to their civilian communities. In this presentation, how communities can assist military veterans in rejoining their communities will be discussed.

    Register in advance for this webinar at:

    https://usc.zoom.us/webinar/register/WN_MentgCmBRLWPxLoJ3LbFKw

    After registering, attendees will receive a confirmation email containing information about joining the webinar.

    This lecture satisfies requirements for CSCI 591: Research Colloquium.


    Biography: Dr. Carl Castro is currently Professor and Director of the Military and Veteran Programs at the Suzanne Dworak-Peck School of Social Work at the University of Southern California. Before joining the University of Southern California, Professor Castro served in the U.S. Army for over 30 years, retiring at the rank of colonel. Dr. Castro participated in the Bosnia and Herzegovina and Kosovo Campaigns, Operation Northern Watch, and the Iraq War. Dr. Castro has chaired numerous NATO and international research groups and he is currently Chair of a NATO research group on Military Veteran Transitions and Co-Chair of a NATO group exploring Military and Veteran Radicalization. His current research efforts are broad and include: (a) the exploration of the military culture that leads to acceptance and integration of diverse groups; (b) understanding and ameliorating the effects of military trauma and stress, especially combat and deployment, on service members and their family; (c) the prevention of suicides and violence such as sexual assault and bullying; and (d) evaluating the process of transitioning into the military and transitioning from military service back to civilian life.


    Host: USC Center for Artificial Intelligence in Society (CAIS)

    Webcast: https://usc.zoom.us/webinar/register/WN_MentgCmBRLWPxLoJ3LbFKw

    Location: Online - Zoom Webinar

    WebCast Link: https://usc.zoom.us/webinar/register/WN_MentgCmBRLWPxLoJ3LbFKw

    Audiences: Everyone Is Invited

    Contact: Computer Science Department

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  • AME Seminar

    Wed, Sep 21, 2022 @ 03:30 PM - 04:30 PM

    Aerospace and Mechanical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Jane Bae, Caltech

    Talk Title: Wall-models for large-eddy simulations of turbulent flows via scientific multi-agent reinforcement learning

    Abstract: The predictive capabilities of turbulent flow simulations, critical for aerodynamic design and weather prediction, hinge on the choice of turbulence models. The abundance of data from experiments and simulations and the advent of machine learning have provided a boost to turbulence modeling efforts. However, simulations of turbulent flows remain hindered by the inability of heuristics and supervised learning to model the near-wall dynamics. We address this challenge by introducing scientific multi-agent reinforcement learning (SciMARL) for the discovery of wall models for large-eddy simulations (LES). In SciMARL, discretization points act also as cooperating agents that learn to supply the LES closure model. The agents self-learn using limited data and generalize to higher Reynolds numbers in reproducing key flow quantities. We test the discovered wall model to canonical flat plate boundary layers, which shows good predictable capabilities outside the Reynolds numbers used to train the model. We will discuss extensions to this model for flows with pressure-gradient effects.


    Biography: Jane Bae is an Assistant Professor of Aerospace at the Graduate Aerospace Laboratories at Caltech. She received her Ph.D. in Computational and Mathematical Engineering from Stanford University in 2018. She was a postdoctoral fellow in the Graduate Aerospace Laboratories at Caltech and the Institute for Applied Computational Science at Harvard University before joining the Caltech faculty. Her main research focuses on computational fluid mechanics, in particular on modeling and control of wall-bounded turbulence.

    Host: AME Department

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

    Webcast: https://usc.zoom.us/j/98775609685?pwd=a2lSd01oY0o2KzA4VWphbGxjWk5Qdz09

    Location: Seaver Science Library (SSL) - 202

    WebCast Link: https://usc.zoom.us/j/98775609685?pwd=a2lSd01oY0o2KzA4VWphbGxjWk5Qdz09

    Audiences: Everyone Is Invited

    Contact: Tessa Yao

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  • USC-AMAZON CENTER FALL 2022 KICKOFF MEETING

    Fri, Sep 23, 2022 @ 09:00 AM - 03:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Research presentations from the 5 projects that were selected for 2022-2023 and from the 3 Amazon PhD fellows.,

    Host: Salman Avestimehr

    More Information: 2022 Kickoff Schedule (2)[36].pdf

    Location: Michelson Center for Convergent Bioscience (MCB) - MCB 101

    Audiences: Everyone Is Invited

    Contact: Ariana Perez

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  • MFD Seminar: Control and Imaging of the Quantum Electron Motion in Action

    Mon, Sep 26, 2022 @ 04:00 PM - 05:20 PM

    Mork Family Department of Chemical Engineering and Materials Science

    Conferences, Lectures, & Seminars


    Speaker: Dr. Mohammed Hassan, Physics Department and Optical Sciences, University of Arizona

    Talk Title: Control and Imaging of the Quantum Electron Motion in Action

    Abstract: The electron motion in atoms and molecules is at the heart of all phenomena in nature. The advances in ultrafast light field and synthesis and attosecond spectroscopy enabled tracing and controlling electron motion dynamics in matter. In the first part of this talk, Dr. Hassan will present our capability for on-demand tailoring of light field waveforms spanning two optical octaves, from near-infrared electron motion in dielectric using synthesized light waveforms. This fine control allowed for switching the optical signal with attosecond time resolution. Furthermore, he will introduce the possibility of encoding binary data on ultrashort laser pulses waveforms. This work paves the way for establishing optical switched and light-based electronics with petahertz speeds, several orders of magnitude faster than the current semiconductor-based electronics, opening a new realm in information technology, optical communications, and photonic processors technologies. Dr. Hassan will present a new methodology for all-optical light field sampling and electron meteorology, which allows measuring the electronic delay response in the dielectric system. In the second half of the talk, Dr. Hassan will present the latest results of imaging the quantum electron motion in solid-state in action. He will explain how his team was able to attain the native electron motion (attosecond) temporal resolution in the electron microscope, orders of magnitude faster than the highest reported imaging resolution, by generating a single-isolated attosecond electron pulse inside the microscope and the embellishment of what we call "Attomicroscopy". This attosecond electron imaging by Attomicroscopy provides more insights into the electron dynamics in real-time and space with attosecond and picometer resolutions and promises to find long-anticipated real-life attosecond science application in quantum physics, chemistry, and biology.

    Biography: Education: Ph.D. Physics, 2013, Max-Plank Institute for Quantum Optics- Ludwig Maximilian University of Munich

    Fields of Study: Atomic, Molecular, and Optical Physics; Condensed Matter Physics

    Research Interests: Dr. Hassan''s research focuses on achieving the attosecond temporal resolution in electron microscopy by generative attosecond electron pulses and establishing the "Attomicroscopy" field, which will be utilized for recording film of electronic and atomic motion in action.

    Host: Professor Moh El-Naggar (Dept of Physics and Astronomy Colloquium); Professor Andrea Martin Armani (Mork Family Dept of Chemical Engineering and Materials Science)

    More Information: 9.26.2022.Mohammed Hassan (1).pdf

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

    Audiences: Everyone Is Invited

    Contact: Anthony Tritto

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  • Epstein Institute - ISE 651 Seminar

    Tue, Sep 27, 2022 @ 03:30 PM - 04:50 PM

    Daniel J. Epstein Department of Industrial and Systems Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Katya Scheinberg, Professor and Director of Graduate Studies, Operations Research and Information Engineering, Cornell University

    Talk Title: Overview of Adaptive Optimization Methods for Stochastic Oracles

    Host: Dr. Meisam Razaviyayn

    More Information: September 27, 2022.pdf

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

    Audiences: Everyone Is Invited

    Contact: Grace Owh

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  • Medical Imaging Seminar Series

    Wed, Sep 28, 2022 @ 10:00 AM - 11:00 AM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Rodrigo A. Lobos, Electrical and Computer Engineering, University of Southern California

    Talk Title: New Theory and Methods for Accelerated MRI Reconstruction

    Series: Medical Imaging Seminar Series

    Abstract: Magnetic resonance imaging (MRI) has revolutionized medicine by providing high-quality images of living tissue in a safe and noninvasive manner. However, the data-acquisition time can still be restrictively long in real applications. To accelerate this task, one popular alternative has been acquiring a reduced amount of data samples, and then using reconstruction methods to generate images out of the acquired undersampled data. In this talk we discuss novel contributions to improve the performance and efficiency of MRI reconstruction methods.

    We start revisiting the shift-invariant linear predictability relationships that exist in the MRI data (k-space), and how they can be leveraged using structured low-rank modeling (SLM). Then, we propose novel reconstruction approaches based on SLM which additionally incorporate in-prior knowledge learned from previously acquired reference data. We show that this approach is particularly useful in the context of ghost-artifact correction in echo planar imaging (EPI), where we theoretically establish that in-prior knowledge is necessary in order to avoid ill-posedness when using SLM reconstruction methods. Next, we provide a robust and powerful SLM reconstruction method able to account for potential imperfections in the reference data.

    In the last part of the talk, we show that linear predictability principles can also be used in the context of sensitivity map estimation in multichannel MRI. We start showing new theoretical results that provide a novel mathematical description for the estimation problem. Specifically, we show that sensitivity maps at particular locations belong to a nullspace of a matrix created from linear predictability relationships. Then, based on advanced signal processing techniques, we propose a set of computational methods which allow massive improvements in the computational complexity of sensitivity map estimation methods based on subspaces. We show cases where conventional estimation methods obtain a ~30-fold acceleration when combined with our proposed computational techniques. Notably, these improvements in computational time and memory usage are obtained without sacrificing estimation accuracy.

    Biography: Rodrigo A. Lobos is a Ph.D candidate in Electrical and Computer Engineering at University of Southern California, supervised by Prof. Justin Haldar. He obtained his Bachelor's and Master's degree in Electrical Engineering at Universidad de Chile, where he received the Best Master's Thesis award in Electrical Engineering in 2015. During this time, The School of Engineers of Chile recognized Rodrigo as the best electrical engineer graduated from Universidad de Chile in 2015. He then joined Prof. Haldar's group at USC where his research has been focused on signal processing, computational imaging, and machine learning applied to medical imaging applications. Rodrigo's work has been recognized in distinguished medical imaging conferences, where he obtained a Best Paper Finalist award in IEEE ISBI 2020. At University of Southern California Rodrigo was selected as a Ming Hsieh Institute Ph.D Scholar.

    Host: Justin Haldar, jhaldar@usc.edu

    Webcast: https://urldefense.com/v3/__https://usc.zoom.us/j/94607557250__;!!LIr3w8kk_Xxm!uZV7rWNY9SZv84hGG8xVjIzaW-bOpw5wrC274dcH8O-_Ls5VS_GnF-W-kPDxVNU489rUSCih4KKPsjXwog$

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

    WebCast Link: https://urldefense.com/v3/__https://usc.zoom.us/j/94607557250__;!!LIr3w8kk_Xxm!uZV7rWNY9SZv84hGG8xVjIzaW-bOpw5wrC274dcH8O-_Ls5VS_GnF-W-kPDxVNU489rUSCih4KKPsjXwog$

    Audiences: Everyone Is Invited

    Contact: Talyia White

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  • New Theory and Methods for Accelerated MRI Reconstruction

    Wed, Sep 28, 2022 @ 10:00 AM - 11:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Rodrigo Lobos , Electrical and Computer Engineering

    Talk Title: Dissertation Defense

    Host: Rodrigo Lobos

    More Information: Rodrigo Lobos_MHI-MISS_Sept. 28, 2022.pdf

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

    Audiences: Everyone Is Invited

    Contact: Talyia White

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

    Wed, Sep 28, 2022 @ 02:00 PM - 03:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Giulia Pedrielli, School of Computing and Augmented Intelligence (SCAI) at Arizona State University.

    Talk Title: Going Inside the Box: Bayesian Optimization for Verification of Cyber Physical Systems with Varying Levels of System Knowledge

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

    Abstract: Systems across automotive, bio-pharma, aerospace, energy, have become increasingly complex, and simulation represents a standard tool to evaluate their performance independently from the purpose of the analysis being optimization, control, certification. As a result, black-box optimization, that can embed simulation to perform a wide range of analyses, has attracted a lot of attention from the science and engineering communities. This talk centers around Black-box optimization methods, focusing on random search approaches (such randomness is injected in the search independently from the problem being affected by noise) in the broad area of verification of Cyber Physical Systems. In this context, the problem of falsifying properties is translated into the minimization of a robustness function. This is a metric function that quantifies how far a CPS execution is from violating a property of interest.

    We first focus on control and acceleration of the explore/exploit process for the falsification of safety requirements without exploiting any property of the system under analysis. Our approach alternates local and global search using local knowledge while exploring the space of possible solutions. The performance of the proposed approach is analyzed, and key future directions are discussed in the context of Cyberphysical systems safety evaluation.

    In the second part of the talk, we present algorithms developed in the scope of certification of safety critical systems that in some form exploit some structure of the problem at hand. Part-X is a family of partitioning informed Bayesian optimizers that can identify regions in which the system can present safety concerns (bugs in the case a software is analyzed). In this sense, the algorithm learns structure of the robustness function used to find falsification. We also produce a global estimate of the falsification volume. The algorithm min-BO works to identify faults in systems that have complex requirements that can be decomposed into a set of simpler requirements that need to be simultaneously satisfied by the system (conjunctive requirements). Finally, we show the basic ideas behind the design of algorithms that can exploit, when available, instrumented source code for the CPS to verify.


    Biography: Giulia Pedrielli (https://www.gpedriel.com/) is currently Associate Professor for the School of Computing and Augmented Intelligence (SCAI) at Arizona State University. She graduated from the Department of Mechanical Engineering of Politecnico di Milano. Giulia develops her research in design and analysis of random algorithms for global optimization, with focus on improving finite time performance and scalability of these approaches. Her work is motivated by design and control of next generation manufacturing systems in bio-pharma and aerospace applications, as well as problems in the design and evaluation of complex molecular structures in life-science. Applications of her work are in individualized cancer care, bio-manufacturing, design and control of self-assembled RNA structures, verification of Cyberphysical systems. Her research is funded by the NSF, DHS, DARPA, Intel, Lockheed Martin.

    Host: Pierluigi Nuzzo, nuzzo@usc.edu

    Webcast: https://usc.zoom.us/j/98083929768?pwd=SUJreHk0N0ZXbk5QZ1ZPUkRlM3FmZz09

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

    WebCast Link: https://usc.zoom.us/j/98083929768?pwd=SUJreHk0N0ZXbk5QZ1ZPUkRlM3FmZz09

    Audiences: Everyone Is Invited

    Contact: Talyia White

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  • AME Seminar

    Wed, Sep 28, 2022 @ 03:30 PM - 04:30 PM

    Aerospace and Mechanical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Jerry Qi, Georgia Tech

    Talk Title: Multimaterial Additive Manufacturing toward Shape Changing Functional Devices and 4D Printing

    Abstract: 3D printing (additive manufacturing) where materials are deposited in a layer-by-layer manner to form a 3D solid has seen significant advances in the recent decades. 3D printing has the advantage in creating a part with complex geometry from a digit file, making them an idea candidate for making architected materials. Multimaterial 3D printing is an emerging field in recent years in additive manufacturing. It offers the advantage of placement of materials with different properties in the 3D space with high resolution, or controllable heterogeneity. In this talk, we present our recent progress in developing multimaterial additive manufacturing methods. In the first approach, we present a new development of a novel multi-material multi-method (m4) 3D printing where we integrate four types of additive manufacturing methods and two complementary methods into one platform. In the second approach, we recently developed a novel grayscale digit light processing (DLP) 3D printing method where we can print a part with gradient material properties. We further explore on how to use multimaterial 3D printing to fabricate architected materials and demonstrate their advantage, including direct 4D printing of 2D lattice structures, lattice structures with changing shape driven by liquid crystal elastomers, and 3D lattice structures by gradient materials.

    Biography: Dr. H. Jerry Qi is a professor in the School of Mechanical Engineering at Georgia Institute of Technology and is the site director of NSF IUCRC on Science of Heterogeneous Additive Printing of 3D Materials (SHAP3D). He received his undergraduate and graduate degrees from Tsinghua University and a ScD degree from MIT. After one-year postdoc at MIT, he joined University of Colorado Boulder as an assistant professor and moved to Georgia Tech in 2014. His research is in the broad field of nonlinear mechanics of polymeric materials and focuses on developing fundamental understanding of multi-field properties of soft active materials through experimentation and constitutive modeling then applying these understandings to application designs. He and his collaborators have been working on a range of soft active materials, including shape memory polymers, shape memory elastomeric composites, light activated polymers, covalent adaptable network polymers, for their interesting behaviors such as shape memory, light actuation, surface patterning, surface welding, healing, and reprocessing. In recent years, he has been working on investigating integrating active materials with 3D printing. He and his collaborators pioneered the 4D printing concept. Prof. Qi is a recipient of NSF CAREER award (2007) and was elected to an ASME Fellow in 2015.

    Host: AME Department

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

    Webcast: https://usc.zoom.us/j/98775609685?pwd=a2lSd01oY0o2KzA4VWphbGxjWk5Qdz09

    Location: Seaver Science Library (SSL) - 202

    WebCast Link: https://usc.zoom.us/j/98775609685?pwd=a2lSd01oY0o2KzA4VWphbGxjWk5Qdz09

    Audiences: Everyone Is Invited

    Contact: Tessa Yao

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  • CEE Seminar Series

    Thu, Sep 29, 2022 @ 02:00 PM - 03:00 PM

    Sonny Astani Department of Civil and Environmental Engineering

    Conferences, Lectures, & Seminars


    Speaker: Jorge Macedo, PhD, PE, Georgia Institute of Technology

    Talk Title: Recent Tailing Storage Facility Failures and the Role of Static Liquefaction

    Abstract: See attached

    Biography: See Attached

    Host: Chukwuebuka Nweke, PhD

    More Info: https://usc.zoom.us/j/98445798429

    Webcast: https://usc.zoom.us/j/98445798429

    More Information: Macedo_Announcement.docx

    WebCast Link: https://usc.zoom.us/j/98445798429

    Audiences: Everyone Is Invited

    Contact: Salina Palacios

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  • MHI ISSS Seminar - Dr. Wanghua Wu, Friday, September 30th at 2pm in EEB 132

    Fri, Sep 30, 2022 @ 02:00 PM - 03:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Wanghua Wu, Samsung Semiconductor Inc.

    Talk Title: Recent Trends and Advances in High Performance Fractional-N PLL Design

    Series: Integrated Systems

    Abstract: any advanced
    electronic systems. In recent years, both analog and all-digital PLLs employing sampling or sub-sampling phase detector have gained popularity and demonstrated below 100-fs integrated jitter and superior figure-of-merit. This talk focuses on this PLL architecture and elaborates the advanced design techniques
    to achieve low jitter, low fractional spurs, fast locking, and low power operation. Both circuit design and digital calibration techniques will be presented in detail. In addition, recent advances in reference clock generation will also be discussed as it is crucial for high performance PLLs.

    Biography: Dr. Wanghua Wu received the B.Sc. degree from Fudan University, Shanghai, China, in 2004, M.Sc. degree and Ph.D. degree from Delft University of Technology, The Netherlands in 2007 and 2013, respectively, all in electrical engineering. From 2013 to 2016, she was an RFIC Design Engineer in Marvell, developing high performance frequency synthesizers for WLAN transceivers. Since 2016, she has been with Samsung Semiconductor Inc. USA. She is currently a Principal Engineer and Senior Manager, leading advanced cellular RFIC design. Her research interest is on CMOS frequency synthesis for wireless applications. She currently serves as the Technical Program Committee member of IEEE International Solid-State Circuits Conference (ISSCC), Custom Integrated Circuits Conference (CICC), and Radio Frequency Integrated Circuits Symposium (RFIC).

    Host: MHI - ISSS, Hashemi, Chen and Sideris

    More Info: Meeting ID: 926 7347 1681, Passcode: 960345

    More Information: Abstract and Bio-Sept 30-Wu.pdf

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

    Audiences: Everyone Is Invited

    Contact: Marilyn Poplawski

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