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Events for October
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MHI ISSS Seminar - Dr. Elad Alon, Friday, October 7 at 2pm in EEB 132 and Zoom
Fri, Oct 07, 2022 @ 02:00 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Elad Alon, CEO, Blue Cheetah Analog Design
Talk Title: Reshaping the A/MS Design Industry with Generators
Series: Integrated Systems
Abstract: The semiconductor industry is in the midst of multiple technological, societal, and market trends - including a resurgence of customized silicon solutions, global capacity shortages, and the end of scaling derived reductions in cost per transistor - that are all aligning to drive surging demand for IC
designs. Accordingly, demand has never been higher for the A/MS components / sub-systems underlying all modern chips, and yet the supply of A/MS design engineers has at best remained flat over the last ~10- 20 years. In this talk I will describe how generator-based design - where we algorithmically codify and
capture expert engineers' methodologies - allow us to "force multiply" the efforts of expert designers and rapidly realize customized, process-portable A/MS designs.
Biography: Dr. Elad Alon is the CEO and co-founder of Blue Cheetah Analog Design, which is leveraging generator-based design methodologies to rapidly deliver tailored A/MS designs to meet our customers' diverse needs. He is an Adjunct Professor at UC Berkeley in the EECS Department, where he was a Full Professor until Jul. 2021. He has served as an advisor or consultant to many semiconductor and electronics companies, including Lion Semiconductor (acquired by Cirrus Logic), Ayar Labs, Intel, Xilinx, Cadence, Wilocity (acquired by Qualcomm), and Cadence. He has been recognized with multiple best-paper (from the ISSCC, VLSI, and CICC conferences)
as well as teaching awards, has led several multi-institutional research programs, and was elevated to the rank of IEEE Fellow in 2020.
Host: MHI - ISSS, Hashemi, Chen and Sideris
More Info: Meeting ID: 947 5819 7738, Passcode: 062790
More Information: Abstract and Bio-Oct 7-Alon.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Marilyn Poplawski
Event Link: Meeting ID: 947 5819 7738, Passcode: 062790
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EE599: Causal Learning course: Casual Bandits
Wed, Oct 12, 2022 @ 10:00 AM - 11:00 AM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Ali Tajer, Rensselaer Polytechnic Institute
Talk Title: Causal Bandits
Abstract: In this talk, we provide an overview of the causal bandit problems. The purpose of causal bandit settings is to formalize theoretically-principled frameworks for the experimental design when the experiments involve an array of parameters that causally affect one another. The key objective of causal bandits is to leverage causal relationships to design effective experiments judiciously. Designing causal bandit algorithms critically hinges on the extent of information available about the (i) causal structure and (ii) the interventional distributions. Based on the availability of information on each of these two dimensions, there are, broadly, four possible model combinations. The existing literature, for the most part, focuses on settings in which the interventional distributions are known (with or without knowing the causal structure). First, we provide an overview of the existing literature on the existing literature. Secondly, motivated by the fact that acquiring the interventional distributions is often infeasible, we address the following question: is it possible to achieve the optimal regret scaling rates without knowing the interventional distributions? We address this question affirmatively in the case of linear structural equation models when the causal structure is known. We discuss the design and performance of algorithms for the frequentist and Bayesian settings.
Biography: Ali Tajer received the B.Sc. and M.Sc. degrees in Electrical Engineering from Sharif University of Technology in 2002 and 2004, respectively. During 2007-2010 he was with Columbia University, where he received an M.A degree in Statistics and a Ph.D. degree in Electrical Engineering, and during 2010-2012 he was with Princeton University as a Postdoctoral Research Associate. He is currently an Associate Professor of Electrical, Computer, and Systems Engineering at Rensselaer Polytechnic Institute. His research interests include mathematical statistics, statistical signal processing, and network information theory, with applications in wireless communications and power grids. His recent publications include an edited book entitled Advanced Data Analytics for Power Systems (Cambridge University Press, 2021). He received an NSF CAREER award in 2016 and AFRL Faculty Fellowship in 2019. He is currently serving as an Associate Editor for the IEEE Transaction on Information Theory and an Associate Editor for the IEEE Transactions on Signal Processing. In the past, he has served as an Editor for the IEEE Transactions on Communications, a Guest Editor for the IEEE Signal Processing Magazine, an Editor for the IEEE Transactions on Smart Grid, an Editor for the IET Transactions on Smart Grid, and as a Guest Editor-in-Chief for the IEEE Transactions on Smart Grid -“ Special Issue on Theory of Complex Systems with Applications to Smart Grid Operations.
Host: Urbashi Mitra; Password for link: 114454
More Info: https://usc.zoom.us/j/94255391488?pwd=cGoyOVoxWnc3K1RTeVcvYjlWOEJPQT09
Location: Virtual
Audiences: Everyone Is Invited
Contact: Susan Wiedem
Event Link: https://usc.zoom.us/j/94255391488?pwd=cGoyOVoxWnc3K1RTeVcvYjlWOEJPQT09
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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, Oct 12, 2022 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Byron Boots, Paul G. Allen School of Computer Science and Engineering at the University of Washington
Talk Title: Machine Learning for Agile Off-Road Autonomous Driving
Series: Center for Cyber-Physical Systems and Internet of Things
Abstract: The main goal of this talk is to illustrate how machine learning can start to address some of the fundamental challenges involved in designing intelligent robots. I'll start by discussing off-road driving tasks that require impressive sensing, speed, and agility to complete. I will focus on how machine learning can be combined with prior knowledge and structure to build effective solutions to robotics control problems in this domain. Along the way I'll introduce new tools from reinforcement learning and online learning and show how theoretical insights help us to overcome some of the practical challenges involved in learning on real-world platforms.
Biography: Byron Boots is the Amazon Professor of Machine Learning in the Paul G. Allen School of Computer Science and Engineering at the University of Washington. Byron's group performs fundamental and applied research in machine learning, artificial intelligence, and robotics with a focus on developing theory and systems that tightly integrate perception, learning, and control. His work has been applied to a range of problems including localization and mapping, motion planning, robotic manipulation, quadrupedal locomotion, and high-speed navigation. Byron has received several awards including "Best Paper" Awards from ICML, AISTATS, RSS, and IJRR. He is also the recipient of the RSS Early Career Award, the DARPA Young Faculty Award, the NSF CAREER Award, and the Outstanding Junior Faculty Research Award from the College of Computing at Georgia Tech. Byron received his PhD from the Machine Learning Department at Carnegie Mellon University
Host: Somil Bansal, somilban@usc.edu
Webcast: https://usc.zoom.us/j/98083929768?pwd=SUJreHk0N0ZXbk5QZ1ZPUkRlM3FmZz09Location: Hughes Aircraft Electrical Engineering Center (EEB) - EEB 248
WebCast Link: https://usc.zoom.us/j/98083929768?pwd=SUJreHk0N0ZXbk5QZ1ZPUkRlM3FmZz09
Audiences: Everyone Is Invited
Contact: Talyia White
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ECE Seminar: High-Assurance Design Methods for Trustworthy Autonomous Cyber-Physical Systems
Tue, Oct 18, 2022 @ 11:00 AM - 12:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Professor Pierluigi Nuzzo, Ming Hsieh Dept of ECE, USC Viterbi School of Engineering
Talk Title: High-Assurance Design Methods for Trustworthy Autonomous Cyber-Physical Systems
Abstract: Correctness and safety assurance is of utmost importance in mission-critical systems for various applications, for example, in avionics, automobiles, robotics, and manufacturing. In these systems, increasingly more sophisticated tasks that were previously allocated to humans are expected to be performed by software, including modern artificial intelligence (AI) methods. One of the biggest challenges to full autonomy is arguably in showing that these AI and autonomous software functions will still satisfy the stringent safety and correctness requirements of mission-critical systems in uncertain or unpredictable environments. In this talk, I will introduce our approach toward enhancing design-time assurance for trustworthy autonomous cyber-physical systems. I will present synthesis methods for correct-by-construction design of optimal control and reinforcement learning policies in uncertain and unknown environments with provable guarantees on the satisfaction of complex missions, expressed by temporal logic specifications. I will then introduce the rich specification formalism of stochastic assume-guarantee contracts for compositional, quantitative requirement analysis and system verification under uncertainty. Finally, I will discuss how stochastic contracts can provide the semantic foundation for the automated construction of assurance cases, structured arguments about system dependability, which can accelerate system certification and help transition from a process-driven to a property-driven certification approach.
Biography: Pierluigi Nuzzo is an Assistant Professor and the Kenneth C. Dahlberg Early Career Chair in the Department of Electrical and Computer Engineering at USC, where he is also the Associate Director of the Center for Autonomy and Artificial Intelligence. He received the PhD in Electrical Engineering and Computer Sciences from UC Berkeley, and BS and MS degrees in Electrical and Computer Engineering from the University of Pisa and the Sant'Anna School of Advanced Studies in Pisa, Italy. Before joining UC Berkeley, he held research positions at the University of Pisa and IMEC, Leuven, Belgium, working on analog and mixed-signal circuit design. His interests focus on methodologies and tools for high-assurance design of cyber-physical systems and systems-on-chip, including the application of formal methods and optimization theory to problems in embedded and cyber-physical systems, electronic design automation, requirement engineering, security, and artificial intelligence. He received the 2022 Early-Career Award from the IEEE Technical Committee on Cyber-Physical Systems, the DARPA Young Faculty Award in 2020, the NSF CAREER Award in 2019, and best paper and design competition awards from the International Conference on Formal Methods and Models for System Design (MEMOCODE), the International Conference on Cyber-Physical Systems (ICCPS), the Design Automation Conference (DAC) and the International Solid-State Circuit Conference (ISSCC). His awards also include the IBM PhD Fellowship, the UC Berkeley Outstanding Instructor Award, and the UC Berkeley EECS David J. Sakrison Memorial Prize for his doctoral research.
Host: Professor Richard M. Leahy (leahy@sipi.usc.edu)
Webcast: https://usc.zoom.us/j/91207739138?pwd=aDVQOXRwNUZyMm5DYXhvTTM5K0Z1dz09Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
WebCast Link: https://usc.zoom.us/j/91207739138?pwd=aDVQOXRwNUZyMm5DYXhvTTM5K0Z1dz09
Audiences: Everyone Is Invited
Contact: Mayumi Thrasher
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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, Oct 19, 2022 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Abhishek Cauligi, Jet Propulsion Laboratory
Talk Title: Enabling Long Range Autonomy for the Next Generation of Spacecraft Robotic Missions
Series: Center for Cyber-Physical Systems and Internet of Things
Abstract: Surface rovers have a rich history of use for planetary body exploration, but current rover missions are limited to low operational speeds and require significant ground-in-the-loop management and teleoperation to compute safe paths for the rovers to follow. However, the next generation of proposed planetary surface rover missions require significantly faster operating speeds in order to accomplish the mission tasks and objectives, thereby making autonomy a key enabling technology for such missions. This talk will discuss the challenges ahead in developing, validating, and safely deploying autonomy algorithms for the next generation of spacecraft robotic missions. The first half of this talk will focus on the autonomy architecture for NASA's Cooperative Autonomous Distributed Robotic Explorers (CADRE) mission, a technology demonstration mission that will deliver a team of autonomous rovers to the Moon's Reiner Gamma region in 2024. The latter half of the talk will focus on how recent advances in bridging data-driven approaches with nonlinear optimization can allow for embedding sophisticated planning and decision making capabilities on resource-constrained autonomous systems.
Biography: Abhishek Cauligi is a Robotics Technologist with the Surface Mobility Group within the Robotics section of NASA's Jet Propulsion Laboratory. He received his B.S. in Aerospace Engineering from the University of Michigan - Ann Arbor in 2016 and his PhD. in Aeronautics and Astronautics from Stanford University under the supervision of Prof. Marco Pavone in 2021, where he was a recipient of the NASA Space Technology Research Fellowship (NSTRF/NSTRGO). His research interests lie in leveraging recent advances in nonlinear optimization, machine learning, and control theory towards planning and control for complex spacecraft robotic systems.
Host: Somil Bansal, somilban@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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MHI ISSS Seminar - Dr. Kamran Entesari, Friday, Oct. 21st at 2pm in EEB 132 and via Zoom
Fri, Oct 21, 2022 @ 02:00 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Kamran Entesari, Texas A&M University
Talk Title: Recent Advances in Millimeter-wave Silicon Photonics Circuits for Wireless Communications
Series: Integrated Systems
Abstract: Nowadays, continuously growing wireless traffic shapes the progress in the wireless communication systems. Therefore, next generation of wireless communication systems are actively
investigated to accommodate expanding data traffic of the future. As one of the promising candidates, silicon photonics devices and circuits are able to improve the performance of the future wireless system.
In this seminar, potential hybrid-integrated mm-wave silicon photonics receivers for future wireless communication systems are explored. The proposed mm-wave silicon photonics reconfigurable receiver front-end can be programmed as either a mm-wave band-pass filter (BPF) for channel selection or a mmwave notch filter for jammer rejection in adjacent and alternate channels within 20-43.5 GHz frequency range. This photonically-assisted mm-wave receiver is optimized for minimum noise figure (NF), maximum linearity or third-order input intercept point (IIP3) and maximum signal to noise ratio (SNR) by optical modulator bias control and optical amplification. Meanwhile, silicon photonics devices are
vulnerable to process and temperature variations. As a result, they require manual calibration, which is expensive, time consuming, and prone to human errors. Therefore, precise automatic calibration solutions with modified monitor-based silicon photonic filter structures are demonstrated and employed in the mmwave silicon photonics receiver. Also, thermal crosstalk effect in the photonic devices is investigated, and substrate thinning is proposed to suppress this effect and reduce calibration time to less than half. The proposed monitor-based tuning method compensates fabrication variations and thermal crosstalk by controlling micro-heaters as tuning elements individually using electrical monitors. This approach
successfully demonstrates calibration and dynamic tuning of silicon photonics filters in the mm-wave receiver from severely degraded initial magnitude response to a well-defined magnitude response.
Biography: Kamran Entesari received his Ph.D. degree from University of Michigan Ann Arbor, in computer Engineering at
Texas A&M University, College Station, where he is currently a Professor. His research interests include the design of RF/mm-wave integrated circuits and systems, and integrated RF/mm-wave photonics for wireless communications and sensing.
Prof. Entesari was a recipient of the 2017 and 2018 Qualcomm Faculty Award, and the 2011 National Science Foundation CAREER Award. He was the corecipient of the 2009 Semiconductor Research Corporation Design Contest Second Place Award, the Best
Student Paper Award of the IEEE RFIC Symposium in 2014 (second place), the IEEE Microwave Theory and Techniques Society award in 2011 (third place), and the IEEE Antennas and Propagation Society award in 2013 (Honorable Mention). He is currently a Technical Program Committee Member of the IEEE RFIC Symposiums and was an Associate Editor of the IEEE Microwave and Wireless Components Letters and a Member of Editorial Board for IEEE Solid-State Circuits Letters. He has published more than 150 peerreviewed
IEEE journal and conference papers.
Host: MHI - ISSS, Hashemi, Chen and Sideris
More Info: Meeting ID: 928 5171 5526, Passcode: 638839
More Information: Abstract and Bio-Oct 21-Entesari.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Marilyn Poplawski
Event Link: Meeting ID: 928 5171 5526, Passcode: 638839
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MHI Photonics Seminar - Ayman Abouraddy, Tuesday, October 25th at 3pm in MCB 102
Tue, Oct 25, 2022 @ 03:00 PM - 04:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Ayman F. Abouraddy, University of Central Florida
Talk Title: Space-time wave packets: A new frontier for structured light
Series: Photonics Seminar Series
Abstract: Exercising control over the spatial degrees of freedom of the optical field has continued to yield breakthroughs over the past few decades, ranging from the discovery of Bessel beams and beams endowed with orbital angular momentum, to optical tweezers and traps, and the manipulation of the field in multimode optical fibers. Separately, but in parallel with these efforts, ultrafast pulse shaping has revolutionized our control over the temporal degree of freedom of the optical field. The spatial and temporal realms in optics have led for the most part independent lives with few examples of creative intersections. In this talk I show that precise, joint sculpting of the spatial and temporal degrees of freedom of optical fields - rather than modulating each separately - yields a new class of pulsed beams that I call 'space-time' (ST) wave packets. Surprising and useful optical behaviors are exhibited by ST wave packets when freely propagating or when interacting with photonic devices, leading to a new frontier for the study of structured light. I will share our recent experimental and theoretical results from this rapidly emerging topic and sketch potential applications that could benefit from ST wave packets.
Biography: Ayman F. Abouraddy received the B.S. and M.S. degrees from Alexandria University, Alexandria, Egypt, in 1994 and 1997, respectively, and the Ph.D. degree from Boston University, Boston, MA, in 2003, all in electrical engineering. In 2003 he joined the Massachusetts Institute of Technology (MIT) as a postdoctoral fellow, and then became a Research Scientist at the Research Laboratory of Electronics in 2005. He is the coauthor of more than 130 journal publications, 240 conference presentations, and 70 invited talks; he holds seven patents, and has three patents pending, and is a fellow of the OSA. He joined CREOL, The College of Optics & Photonics, at the University of Central Florida as an assistant professor in September 2008 and was promoted to full professor in August 2017. His recent research interests are in the area of structured light, particularly in the emerging field of space-time optics and photonics, in addition to quantum optics and quantum information processing.
Host: Mercedeh Khajavikhan
More Information: Ayman Abouraddy Flyer.pdf
Location: Michelson Center for Convergent Bioscience (MCB) - 102
Audiences: Everyone Is Invited
Contact: Marilyn Poplawski
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Nano Science & Technology seminar - Shaloo Rakheja, Wednesday, Oct. 26th at 10:30am in EEB 248
Wed, Oct 26, 2022 @ 10:30 AM - 11:30 AM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Shaloo Rakheja, University of Illinois at Urbana-Champaign
Talk Title: Spin dynamics in antiferromagnets and its applications
Series: Nano Science & Technology
Abstract: Antiferromagnets (AFM) materials have ordered spin moments that alternate between individual atomic sites, which gives them a vanishing macroscopic magnetic signature and picosecond intrinsic timescale. Traditionally, AFM materials have played a secondary role to ferromagnets, which are used as active elements in commercial spintronic devices like magnetic sensors and non-volatile magnetic memory. However, it was recently suggested that spin transfer torque could in principle be used to manipulate the magnetic order in AFMs, leading to either stable AFM order precessions for their use as high-frequency oscillators, or switching of the AFM order for their use as magnetic memories.
My presentation will focus on the physics and modeling of electrically driven spin dynamics in thin films of two unique AFMs: Cr2O3, a single-phase magnetoelectric material that can be manipulated solely with electric fields and the Weyl semi-metal Mn3Sn in which spin torque can induce chiral spin rotations. Cr2O3-based ferromagnet-free random access memory has been experimentally demonstrated, while in the case of Mn3Sn, spin torque driven dynamics were found to induce chiral oscillations, from the megahertz to the terahertz frequency range. These materials can overcome the central challenge of manipulating and reading the AFM's order parameter via microelectronics compatible circuitry, thus allowing us to develop antiferromagnetic spintronics along a similar route as ferromagnetic spintronics.
I will discuss my group's recent work in developing new analytic models and numerical techniques to handle the complex domain dynamics across many length scales and time scales in AFM structures. I will use these models to explain recent experimental findings and bridge the gap between physics and applications development. I will conclude my talk by summarizing the limits, challenges, and opportunities of AFM spintronics for future technologies such as high-density, secure nonvolatile memory, compact narrowband terahertz sources, and spike generators.
Biography: Shaloo Rakheja is currently an Assistant Professor in the Electrical and Computer Engineering (ECE) department at the University of Illinois at Urbana-Champaign. She is currently leading the Center for Aggressive Scaling by Advanced Processes for Electronics and Photonics (ASAP) -“ an Industry-University Cooperative Research Center, expected to be launched as a Phase 1 Center by the NSF in 2022. Shaloo is an expert in physics-based modeling of nanoelectronic and magnetic devices for energy-efficient computing and communication. She has developed multi-scale models, spanning from first-principles calculations to circuit-compatible implementations, for enabling materials-to-circuits co-design for a wide range of technologically relevant applications.
Host: J Yang, H Wang, C Zhou, S Cronin, W Wu
More Info: https://usc.zoom.us/j/99956388667?pwd=UHZ2bEZSY0FuakM5dGFwcU1GcTB2QT09
More Information: Shaloo Rakheja_10262022.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Marilyn Poplawski
Event Link: https://usc.zoom.us/j/99956388667?pwd=UHZ2bEZSY0FuakM5dGFwcU1GcTB2QT09
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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, Oct 26, 2022 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Samuel Coogan, Georgia Institute of Technology
Talk Title: Runtime Assurance for Safe Autonomy from Fast, In-the-Loop Reachability
Series: Center for Cyber-Physical Systems and Internet of Things
Abstract: In this talk, we show how efficient reachability methods enable runtime assurance (RTA) for safe autonomy. We focus on interconnected and/or high dimensional systems and we leverage reachability techniques enabled by mixed monotone systems theory. Mixed monotonicity decomposes a dynamical system's vector field into cooperative and competitive elements, resulting in a larger dimensional monotone system for which powerful results from monotone systems theory for, e.g., reachability and invariance are applicable. Notably, these methods offer two key properties: they enable reachable set over-approximations that can be computed very fast for, e.g., inclusion at runtime in feedback controllers, and they scale to high dimensional systems such as neural networks. We demonstrate how both of these appealing features enable RTA mechanisms with provable guarantees for learning-enabled control systems.
Biography: Samuel. Coogan is an associate professor and the Demetrius T. Paris Junior Professor at the Georgia Institute of Technology in the School of Electrical and Computer Engineering and the School of Civil and Environmental Engineering. Prior to joining Georgia Tech in 2017, he was an assistant professor at the University of California, Los Angeles from 2015 to 2017. His research is in the area of dynamical systems and autonomy and focuses on developing scalable tools for verification and control of networked, cyber-physical systems with an emphasis on transportation systems. He received a CAREER Award from the National Science Foundation in 2018, a Young Investigator Award from the Air Force Office of Scientific Research in 2019, and the Donald P Eckman Award from the American Automatic Control Council in 2020.
Host: Pierluigi Nuzzo, nuzzo@usc.edu
Webcast: https://usc.zoom.us/webinar/register/WN_ySGInGwKRKKHX7NHJwTk3QLocation: Online
WebCast Link: https://usc.zoom.us/webinar/register/WN_ySGInGwKRKKHX7NHJwTk3Q
Audiences: Everyone Is Invited
Contact: Talyia White
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REAL@USC-Meta First Anniversary
Mon, Oct 31, 2022 @ 09:30 AM - 04:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Workshops & Infosessions
More Information: REAL@USC-META Oct 31 (Flyer).pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Ariana Perez
