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Conferences, Lectures, & Seminars
Events for September
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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=a2lSd01oY0o2KzA4VWphbGxjWk5Qdz09Location: Seaver Science Library (SSL) - 202
WebCast Link: https://usc.zoom.us/j/98775609685?pwd=a2lSd01oY0o2KzA4VWphbGxjWk5Qdz09
Audiences: Everyone Is Invited
Contact: Tessa Yao
Event Link: https://ame.usc.edu/seminars/
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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=QndJKzUrSlVsaXZCSkJKRTlldTN0UT09More 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=WlVsemQ0dUhmYzR1WC84Nk5Ua1hzUT09Location: 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
Thomas Lord Department of 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_2KFODX4RQ6WMU12J6IsIHgLocation: 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=WUkycy90cndVQko5R3RhQ1U3STBDdz09Location: 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=SUJreHk0N0ZXbk5QZ1ZPUkRlM3FmZz09Location: 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=a2lSd01oY0o2KzA4VWphbGxjWk5Qdz09Location: Seaver Science Library (SSL) - 202
WebCast Link: https://usc.zoom.us/j/98775609685?pwd=a2lSd01oY0o2KzA4VWphbGxjWk5Qdz09
Audiences: Everyone Is Invited
Contact: Tessa Yao
Event Link: https://ame.usc.edu/seminars/
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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 960488Location: 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 960488More 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=MnlVUTJrWkRpUVdQYU04S2t4cUVjZz09Location: 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_ySGInGwKRKKHX7NHJwTk3QLocation: 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
Thomas Lord Department of 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_MentgCmBRLWPxLoJ3LbFKwLocation: 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=a2lSd01oY0o2KzA4VWphbGxjWk5Qdz09Location: Seaver Science Library (SSL) - 202
WebCast Link: https://usc.zoom.us/j/98775609685?pwd=a2lSd01oY0o2KzA4VWphbGxjWk5Qdz09
Audiences: Everyone Is Invited
Contact: Tessa Yao
Event Link: https://ame.usc.edu/seminars/
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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
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=SUJreHk0N0ZXbk5QZ1ZPUkRlM3FmZz09Location: 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=a2lSd01oY0o2KzA4VWphbGxjWk5Qdz09Location: Seaver Science Library (SSL) - 202
WebCast Link: https://usc.zoom.us/j/98775609685?pwd=a2lSd01oY0o2KzA4VWphbGxjWk5Qdz09
Audiences: Everyone Is Invited
Contact: Tessa Yao
Event Link: https://ame.usc.edu/seminars/
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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/98445798429More Information: Macedo_Announcement.docx
WebCast Link: https://usc.zoom.us/j/98445798429
Audiences: Everyone Is Invited
Contact: Salina Palacios
Event Link: https://usc.zoom.us/j/98445798429
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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
Event Link: Meeting ID: 926 7347 1681, Passcode: 960345
