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Events for October
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ECE Seminar: Unlocking the Future: Designing Next-Generation AI Chips with AI Algorithms
Tue, Oct 01, 2024 @ 10:00 AM - 11:00 AM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Sung Kyu Lim, Motorola Solutions Foundation Professor, Georgia Institute of Technology
Talk Title: Unlocking the Future: Designing Next-Generation AI Chips with AI Algorithms
Abstract: Data, chips, and algorithms form the backbone of the AI revolution, demanding hardware as sophisticated as orchestrating a bustling city. In this technological realm, GPUs and high-bandwidth memory are essential yet frequently strained by the immense volume of data traffic. By employing 2.5D and 3D IC architectures through heterogeneous integration, we can greatly enhance energy efficiency and reduce latency in data transfers. A key component of this advancement is the automation of design and simulation for heterogeneous AI chips, where powerful algorithms take the lead, rather than humans. This remarkable capability hinges on advanced electronic design automation (EDA) tools. At Georgia Tech, my research team merges AI-driven and traditional algorithms to bolster EDA capabilities, specifically engineered for developing cutting-edge heterogeneous AI chips. In my talk, I will spotlight these innovations and address the ongoing challenges in AI chip design and EDA.
Biography: Prof. Sung Kyu Lim earned his Ph.D. in Computer Science from UCLA in 2000. Since 2001, he has been a faculty member at the School of Electrical and Computer Engineering at the Georgia Institute of Technology. His research explores the architecture, design, and electronic design automation (EDA) of 2.5D and 3D integrated circuits, contributing to over 400 published papers. He received the Best Paper Awards from the IEEE Transactions on CAD in 2022 and the ACM Design Automation Conference in 2023. He is an IEEE Fellow and served as a program manager at DARPA's Microsystems Technology Office from 2022 to 2024.
Host: Dr. Peter Beerel, pabeerel@usc.edu
More Info: (USC NetID login required to join seminar)
Webcast: https://usc.zoom.us/j/98539005883?pwd=naX0FZKrFLJwk7umPV6nneLbvRzZQF.1Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132 - LOCATION CHANGE
WebCast Link: https://usc.zoom.us/j/98539005883?pwd=naX0FZKrFLJwk7umPV6nneLbvRzZQF.1
Audiences: Everyone Is Invited
Contact: Mayumi Thrasher
Event Link: (USC NetID login required to join seminar)
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MHI - Physics Joint Seminar Series, Haocun Yu, Tuesday, October 1st at 2pm in EEB 248 & Zoom
Tue, Oct 01, 2024 @ 02:00 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Haocun Yu, Marie-Curie Postdoctoral Fellow - University of Vienna
Talk Title: Using Quantum Optics to Illuminate the Universe's Mysteries
Series: MHI Physics Joint Seminar Series
Abstract: Advanced quantum techniques are revolutionizing our ability to observe and understand the universe. From employing squeezing in LIGO detectors to demonstrate human-scale macroscopic quantum phenomena, to utilizing photon-counting methods for measuring Earth's rotation and detecting dark matter, I will discuss how quantum optical applications enhance precision measurements, interface quantum mechanics and gravity, and offer new insights into fundamental questions about the nature of our universe.
Biography: Haocun Yu is a Marie-Cuire Postdoctoral Fellow at the University of Vienna working with Prof. Philip Walther. She completed her Ph.D. in physics in MIT LIGO group working with Prof. Nergis Mavalvala, working on quantum techniques and phenomena for gravitational-wave detectors. Her research interests lie in using various quantum techniques and precision sensing methods for fundamental physics. Her work has been recognized with honors including the MIT Martin Deutsch Award, APS Carl E. Anderson Dissertation Award, and Boeing Quantum Creators Prize. She is enthusiastic about continuing interdisciplinary work that advances quantum technologies and addresses intriguing fundamental questions about our world.
Host: Quntao Zhuang, Eli Levinson-Falk, Jonathan Habif, Daniel Lidar, Kelly Luo, Todd Brun, Tony Levi, Stephan Haas
Webcast: https://usc.zoom.us/j/92584409725More Information: Haocun Yu New Flyer.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132 - Location Change
WebCast Link: https://usc.zoom.us/j/92584409725
Audiences: Everyone Is Invited
Contact: Marilyn Poplawski
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CSC/CommNetS-MHI Seminar: Laurent Lessard
Mon, Oct 07, 2024 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Laurent Lessard, Associate Professor, Mechanical and Industrial Engineering } Northeastern University
Talk Title: An automatic system to detect equivalence between iterative algorithms
Series: CSC/CommNetS-MHI Seminar Series
Abstract: Large-scale optimization problems in machine learning, signal processing, multi-agent systems, and imaging have fueled ongoing interest in iterative optimization algorithms. New optimization algorithms are regularly proposed in order to capture more complicated models, reduce computational burdens, or obtain stronger performance and convergence guarantees. But how can we be sure a recently proposed algorithm is novel? Algorithms can be written in different equivalent ways that are not always obvious, and with optimization being increasingly prevalent across different applications, popular algorithms are routinely "re-discovered". In this talk, we present a framework for reasoning about equivalence of iterative algorithms. Our framework is based on concepts from control theory and linear systems theory and can identify equivalence for a variety of algorithm classes: (a) single-oracle algorithms such as gradient-based methods, (b) multi-oracle algorithms such as distributed optimization algorithms, primal-dual methods, and operator-splitting methods, and (c) algorithms that use different but related oracles, such as subdifferentials, proximal operators, and Fenchel conjugates. Our work is a promising step towards an integrated and principled methodology for analyzing and designing control systems that use optimization algorithms "in the loop".
Biography: Laurent Lessard is an Associate Professor of Mechanical and Industrial Engineering at Northeastern University, Boston, USA, and a core faculty member of the Experiential Institute for AI. He received a B.A.Sc. in Engineering Science from the University of Toronto, and the M.S. and Ph.D. in Aeronautics and Astronautics at Stanford University. His research interests include: decentralized control, robust control, optimization, and machine learning. Before joining Northeastern, he was a Charles Ringrose Assistant Professor of Electrical and Computer Engineering at the University of Wisconsin–Madison. Prior to that, he was an LCCC Postdoc in the Department of Automatic Control at Lund University, Sweden, and a postdoctoral researcher in the Berkeley Center for Control and Identification at the University of California, Berkeley. Laurent is a recipient of the Hugo Schuck best paper award and the NSF CAREER award. He is also a Senior Member of IEEE.
Host: Dr. Lars Lindemann, llindema@usc.edu
More Information: 2024.10.07 CSC Seminar - Laurent Lessard.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - EEB 132
Audiences: Everyone Is Invited
Contact: Miki Arlen
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AAI-CCI-MHI Seminar on CPS
Wed, Oct 09, 2024 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Shai Revzen, Associate Professor Department of Electrical & Computer Science University of Michigan
Talk Title: More legs are different: the surprising simplicity of multi-legged locomotion
Series: EE598 Seminar Series
Abstract: Most of the animals that move with legs in the world do so with six or more legs, yet humans have focused primarily on bipeds and quadrupeds in designing legged robots. This talk will present some theoretical and experimental results that suggest that multi-legged robots with six or more legs exhibit some surprising properties that challenge our anthropocentric intuitions about locomotion. Modeling multi-legged motion fairly accurately, at single percentage points of relative error, turns out to be much easier than naively expected. This is both due to event-selected hybrid systems resolving multi-contact collisions in a smooth way, and due to the surprisingly high accuracy of geometric mechanics models on dry friction problems to which they shouldn't really apply. Together our results suggest that modeling and learning how to move with many legs might be much easier than has previously been thought.
Biography: Shai Revzen is an Associate Professor of Electrical Engineering and Computer Science in the University of Michigan's College of Engineering, and holds a courtesy faculty appointment in the Department of Ecology and Evolutionary Biology. He received his PhD in Integrative Biology doing research in the PolyPEDAL Lab at the University of California at Berkeley, and did his postdoctoral work in the GRASP Laboratory of the University of Pennsylvania. Prior to his academic work, Shai spent a decade in the tech industry, rising to Chief Architect R&D of the convergent systems division of Harmonic Lightwaves (HLIT). He is currently co-founder and Chief Science Officer of Acculine Medical, and General Manager of his consulting company, Izun, Inc. In his spare time he does martial arts and studies for a JD Law degree at Wayne State University.
Host: Feifei Qian
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Ariana Perez
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CSC/CommNetS-MHI Seminar: Verena Häberle
Mon, Oct 14, 2024 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Verena HaÌberle, PhD student, Automatic Control Laboratory | ETH Zurich, Switzerland
Talk Title: Virtual Power Plant Control for Dynamic Ancillary Services Provision
Series: CSC/CommNetS-MHI Seminar Series
Abstract: This presentation focuses on innovative control strategies for dynamic virtual power plants (DVPPs) aimed at providing dynamic ancillary services efficiently. The first part highlights the importance of heterogeneity among distributed energy resources in reliably delivering services like fast frequency and voltage control across various power and energy levels. A "divide-and-conquer" approach, along with dynamic participation factors and local matching controllers, is proposed. The second part introduces a closed-loop strategy incorporating data-driven techniques to adapt ancillary services to local grid conditions. Structural encoding of dynamic ancillary services and a "perceive-and-optimize" strategy ensure stable and optimal performance while meeting grid-code and device-level requirements. Numerical case studies and hardware experiments validate the effectiveness of these approaches, promising improved grid stability and efficiency.
Biography: Verena Häberle is a Ph.D. student at the Automatic Control Laboratory, ETH Zurich, Switzerland, working under the supervision of Prof. Florian Dörfler since June 2020. She earned both her B.Sc. and M.Sc. degrees in Electrical Engineering and Information Technology from ETH Zurich in 2018 and 2020, respectively. Since Sept 2024, she is a visiting student researcher with the Netlab group at the California Institute of Technology (CALTECH), supervised by Prof. Steven Low. Her research focuses on dynamic ancillary services provision, control design for dynamic virtual power plants, and data-driven converter control for future power systems.
Host: Dr. Lars Lindemann, llindema@usc.edu
More Information: 2024.10.14 CSC Seminar - Verena Häberle.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - EEB 132
Audiences: Everyone Is Invited
Contact: Miki Arlen
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A.V. Balakrishnan Awards Ceremony - Dr. Earl H. Dowell
Wed, Oct 16, 2024 @ 02:00 PM - 04:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Earl H. Dowell, William Holland Hall Professor of the Pratt School of Engineering, Duke University
Talk Title: Fluid Structural Thermal Interaction (FSTI) in Hypersonic Flow
Abstract: When flowing fluids and deformable structures interact, they may become unstable (flutter) and if the system is nonlinear this may lead to limit cycle oscillations and even chaotic dynamics. Physical phenomena of interest include wind induced oscillations of long span bridges and tall buildings, internal flows in nuclear reactors and gas turbines, blood flow through arteries and airflow over human tongues. However historically and even today much of the progress is driven by aerospace applications including high performance flight vehicles be they aircraft, jet engines, launch vehicles, missiles or rotorcraft. Current interest in FSTI in hypersonic flow is high and will be the subject of this talk. Both experimental and theoretical (computational) work will be discussed.
Event Program
Reception 2:00PM - 2:30PM
Remarks 2:35PM - 3:15PM
Awardee Lecture 3:15PM - 4:00PM
Award Presentation 4:00PM - 4:15PM
Biography: Dr. Dowell is an elected member of the National Academy of Engineering, an Honorary Fellow of the American Institute of Aeronautics and Astronautics (AIAA) and a Fellow of the American Academy of Mechanics and the American Society of Mechanical Engineers. He has also served as Vice President for Publications and member of the Executive Committee of the Board of Directors of the AIAA; as a member of the United States Air Force Scientific Advisory Board; the Air Force Studies Board, the Aerospace Science and Engineering Board and the Board on Army Science and Technology of the National Academies; the AGARD (NATO) advisory panel for aerospace engineering, as President of the American Academy of Mechanics, as Chair of the US National Committee on Theoretical and Applied Mechanics and as Chairman of the National Council of Deans of Engineering. From the AIAA he has received the Structure, Structural Dynamics and Materials Award, the Von Karman Lectureship, the Crichlow Trust Prize and the Reed Aeronautics Award; from the ASME he has received the Spirit of St. Louis Medal, the Den Hartog Award, Lyapunov Medal and the Caughey Medal; and he has also received the Guggenheim Medal which is awarded jointly by the AIAA, ASME, AHS and SAE. He has served on the boards of visitors of several universities and is a consultant to government, industry and universities in science and technology policy and engineering education as well as on the topics of his research. Dr. Dowell research and teaching ranges over the topics of acoustics, aerodynamics, aeroelasticity, dynamics and structures. In addition to being author of over four hundred research articles, Dr. Dowell is the author or co-author of four books, "Aeroelasticity of Plates and Shells", "A Modern Course in Aeroelasticity", "Studies in Nonlinear Aeroelasticity" and “Dynamics of Very High Dimensional Systems”. Dr. Dowell received his B.S. degree from the University of Illinois and his S.M. and Sc.D. degrees from the Massachusetts Institute of Technology. Before coming to Duke as Dean of the School of Engineering, serving from 1983-1999, he taught at M.I.T. and Princeton. He has also worked with the Boeing Company.
Host: Dr. Petros Ioannou, ioannou@usc.edu
More Info: https://forms.gle/zUxvBSDsb1TCHdcEA
Location: Ronald Tutor Hall of Engineering (RTH) - RTH 526
Audiences: Everyone Is Invited
Contact: Miki Arlen
Event Link: https://forms.gle/zUxvBSDsb1TCHdcEA
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AAI-CCI-MHI Seminar on CPS
Wed, Oct 16, 2024 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Alex Robey, Postdoctoral Researcher
Talk Title: Jailbreaking LLM-Controlled Robots
Series: EE598 Seminar Series
Abstract: Recent research has shown that large language models (LLMs) such as OpenAI's ChatGPT are susceptible to jailbreaking attacks, wherein malicious users fool an LLM into generating harmful content (e.g., bombbuilding instructions). However, these attacks are generally limited to eliciting text from chatbots. In contrast, we consider attacks on LLM-controlled robots, which, if jailbroken, could be manipulated into causing physical harm in the real world. Our attacks successfully jailbreak a self-driving LLM, a wheeled Clearpath Robotics Jackal robot, and, most concerningly, the commercially available Unitree Go2 robot dog. In this talk, we will walk through the recent history of jailbreaking, describe our robotic attacks, and discuss how such attacks can be mitigated to avoid the misuse of AI-powered robots.
Biography: Alex Robey is a postdoctoral researcher in the Machine Learning Department at Carnegie Mellon University, where he is advised by J. Zico Kolter. He is also affiliated with Gray Swan, a start-up that aims to develop AI models resistant to adversarial attacks. In 2024, he received his Ph.D. from the Department of Electrical and Systems Engineering at the University of Pennsylvania, where he was advised by Hamed Hassani and George J. Pappas. He was recently named a Rising Star in Adversarial Machine Learning (AdvML) at the NeurIPS 2024 workshop on AdvML, and he was also the recipient of the Best Paper Award from the AdvML workshop at ICML 2023.
Host: Stephen Tu
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Ariana Perez
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MHI ISSS Seminar - Dr. Ioannis Savidis, Friday, October 18th at 2pm in EEB 132
Fri, Oct 18, 2024 @ 02:00 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Ioannis Savidis, Associate Professor, Drexel University
Talk Title: AI/ML for EDA: Learning Algorithms in Analog and Digital Design
Series: Integrated Systems
Abstract: In the ever-evolving landscape of Electronic Design Automation (EDA), the integration of Artificial Intelligence (AI) and Machine Learning (ML) algorithms with traditional heuristic optimization algorithms has emerged as a transformative force in automated circuit design. This presentation delves into the dynamic intersection of AI/ML and EDA, exploring state-of-the-art techniques shaping the analog and digital physical design space. Machine learning, specifically deep learning, has the potential to significantly improve the accuracy, speed, efficiency, and reliability of EDA tasks such as circuit modeling, simulation, layout design, and optimization. Delving into such cutting-edge advancements, I will describe current AI/ML research performed by the ICE Lab that promises to transcend traditional paradigms, with the goal of enabling designers to navigate complexities with unparalleled efficiency and accuracy. Specifically, a focus on state-of-the-art learning and optimization techniques for the modeling and design of mixed-signal ICs will be presented and discussed. Practical considerations, challenges, and opportunities of ML algorithms for analog and digital circuit design will be discussed, with a focus on the use of such algorithms for prediction and optimization tasks within the EDA design flow.
Biography: Dr. Ioannis Savidis (S'03-M'13-SM'18) is an Associate Professor in the Department of Electrical and Computer Engineering at Drexel University, where he directs the Integrated Circuits and Electronics (ICE) Design and Analysis Laboratory. He received his B.S.E. from Duke University in 2005, and his M.Sc. and Ph.D. from the University of Rochester in 2007 and 2013, respectively. Dr. Savidis has authored over 130 technical papers in peer-reviewed journals and conferences, including a book on Three-Dimensional Integrated Circuit Design and holds 16 issued and five pending patents. His research interests include high-performance digital and mixed-signal integrated circuits, power management for SoC and microprocessor circuits, hardware security, AI/ML algorithms for circuit optimization, and electro-thermal modeling for 2-D and 3-D circuits. Dr. Savidis is a senior member of IEEE and has received two Best Paper Awards, the 2018 NSF CAREER Award, and the 2019 DoD DURIP Award. He serves on organizing committees for several conferences including IEEE HOST, ACM GLSVLSI, and IEEE ISCAS, and on technical program committees for DAC, ICCAD, MLCAD, and others. Dr. Savidis is a member of the VLSI Systems and Applications Technical Committee of the IEEE Circuits and Systems Society and serves on the editorial boards of IEEE Transactions on VLSI Systems, Microelectronics Journal, and ACM Transactions on Design Automation of Electronic Systems.
Host: Hossein Hashemi, Mike Chen and Constantine Sideris
Webcast: https://usc.zoom.us/j/94304141343More Information: MHI_Seminar_Flyer_Savidis_Oct18_2024.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
WebCast Link: https://usc.zoom.us/j/94304141343
Audiences: Everyone Is Invited
Contact: Marilyn Poplawski
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2024 Kickoff Mixer USC-Amazon Center on Trustworthy AI
Mon, Oct 21, 2024 @ 01:00 PM - 06:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Workshops & Infosessions
The USC + Amazon Center on Secure & Trusted Machine Leaning is hosting its 4th Kickoff Meeting on Monday, October 21, 2024, from 1:00 p.m. – 6:00 p.m. The event will take place in the Electrical Engineering Building, EEB132. There will be a keynote talk, research presentations from the projects that were selected for 2024-2025 and from the Amazon PhD fellows, and opportunities to speak with USC faculty and Amazon scientists. REGISTER HERE: https://forms.gle/qRaqtef1BHyNRCfB9
More Information: 2024 USC-Amazon Kickoff Meeting-2.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Ariana Perez
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CSC/CommNetS-MHI Seminar: Murat Arcak
Mon, Oct 21, 2024 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Murat Arcak, Professor of Electrical Engineering and Computer Sciences | University of California, Berkeley
Talk Title: Data-Driven Approaches for Estimating Reachable Sets in Complex Dynamical Systems
Series: CSC/CommNetS-MHI Seminar Series
Abstract: The computation of reachable sets is essential for characterizing and verifying the behavior of safety-critical systems. However, many practical systems are high-dimensional and analytically intractable, making the exact computation of reachable sets difficult or impossible. We propose a data-driven approach that uses a finite ensemble of sample trajectories to estimate reachable sets with probabilistic accuracy guarantees. This method is broadly applicable and computationally advantageous, as the main cost comes from simulating a predetermined number of trajectories, which can be parallelized to reduce computation time. We first present a method that uses scenario optimization to construct reachable set estimates as approximate solutions to chance-constrained optimization problems. Next, we use a class of polynomials derived from empirical moment matrices, whose sublevel sets act as nonconvex estimates of the reachable set. These data-driven methods offer scalable solutions for estimating reachable sets in systems with complex dynamics.
Biography: Murat Arcak is a professor at the University of California, Berkeley, where he holds the Robert M. Saunders Endowed Chair. He has a primary appointment in Electrical Engineering and Computer Sciences, and a courtesy appointment in Mechanical Engineering. He earned his B.S. degree in Electrical Engineering from BoÄaziçi University, Istanbul, Turkey, in 1996, and his M.S. and Ph.D. degrees from the University of California, Santa Barbara, in 1997 and 2000. His research focuses on dynamical systems and control theory, with applications in multi-agent systems and transportation. He received a CAREER Award from the National Science Foundation in 2003, the Donald P. Eckman Award from the American Automatic Control Council in 2006, the Control and Systems Theory Prize from the Society for Industrial and Applied Mathematics (SIAM) in 2007, and the Antonio Ruberti Young Researcher Prize from the IEEE Control Systems Society in 2014. He is a member of ACM and SIAM, and a fellow of both IEEE and the International Federation of Automatic Control (IFAC)
Host: Dr. Lars Lindemann, llindema@usc.edu
More Information: 2024.10.21 CSC Seminar - Murat Arcak.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - EEB 248
Audiences: Everyone Is Invited
Contact: Miki Arlen
