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Conferences, Lectures, & Seminars
Events for May
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MoBI Seminar: Dr Daniel Toker
Mon, May 01, 2023 @ 11:00 AM - 12:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr Daniel Toker, Post-doctoral Fellow, Department of Psychology | Department of Neurology, University of California, Los Angeles
Talk Title: Criticality supports thalamocortical information processing during conscious states
Series: MoBI Seminar Series
Abstract: Mounting evidence suggests that during conscious states, neural electrodynamics are poised near a critical point or phase transition, and that this near-critical behavior supports the vast flow of information through thalamocortical networks during waking states. We identify a mathematically specific critical point near which waking neural electrodynamics operate, which is known as the edge-of-chaos critical point, or the boundary between stability and chaos. Our evidence suggests that both the information-richness of cortical activity and the transfer of information between the cortex and thalamus is disrupted during diverse states of unconsciousness because of a transition of low-frequency thalamocortical electric oscillations away from this critical point. Conversely, we show that psychedelics may increase the information-richness of cortical activity and enhance communication between the thalamus and cortex by tuning low-frequency thalamocortical electrodynamics closer to this critical point.
Biography: Daniel Toker, PhD is a post-doctoral fellow in UCLA's Departments of Psychology and Neurology. He uses human and animal electrophysiology, mathematical modeling, and human brain organoids to study mechanisms underlying the loss and recovery of consciousness from anesthesia, generalized seizures, and coma.
Host: Dr Richard Leahy, leahy@sipi.usc.edu | Dr Karim Jerbi, karim.jerbi.udem@gmail.com
Webcast: https://usc.zoom.us/j/99475118848?pwd=ekJELzlxR1FPamwxRFp4cEgrNktRZz09More Information: MoBI Seminar Flyer - 05.01.2023 Daniel Toker.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - EEB 132
WebCast Link: https://usc.zoom.us/j/99475118848?pwd=ekJELzlxR1FPamwxRFp4cEgrNktRZz09
Audiences: Everyone Is Invited
Contact: Miki Arlen
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2023 Gordon Prize Special Lecture by Azad M. Madni
Tue, May 02, 2023 @ 04:00 PM - 05:00 PM
USC Viterbi School of Engineering
Conferences, Lectures, & Seminars
Speaker: Azad M. Madni, University Professor of Astronautics, Aerospace and Mechanical Engineering, and Education
Talk Title: Road to TRASEE: A Transdisciplinary Systems Engineering Education Paradigm
Abstract:
Attend a special lecture on Dr. Azad M. Madni's 2023 Bernard M. Gordon Prize for Innovation in Engineering & Technology Education Award-winning research.
Online only. Please use event password 954094 for access to the live stream.
Biography:
Azad M. Madni is a member of the National Academy of Engineering and Professor of Astronautical Engineering. He is the holder of the Northrop Grumman Foundation Fred O'Green Chair in Engineering. he has a joint appointment in Astani Department of Civil and Environmental Engineering. He is the Executive Director of USC's Systems Architecting and Engineering Program in the Viterbi School of Engineering. He is also the Director of the Distributed Autonomy and Intelligent Systems Laboratory. He is the chair and co-founder of the IEEE SMC Society's Systems Science and Engineering award-winning Technical Committee for Model Based Systems Engineering. He has served as General Chair of the Conference on Systems Engineering Research since 2008. He is a Life Fellow/Fellow of AAAS, AIAA, IEEE, INCOSE, IETE, SDPS, and Washington Academy of Science. He has received prestigious awards and honors from nine different societies. His research has been sponsored by several government agencies including DARPA, NSF, DHS S&T, DoD-SERC, NASA, DTRA, OSD, MDA, ONR, AFOSR, AFRL, ARI, ARL, RDECOM, CECOM, ERDC, NAVAIR, NAVSEA, SPAWAR, MARCOR, DOE, and NIST. His research has also been sponsored by major aerospace and automotive companies including Boeing, General Motors, Raytheon, Northrop Grumman Corporation, SAIC, and Lockheed Martin ORINCON.
He is also the 2023 Bernard M. Gordon Prize for Innovation in Engineering & Technology Education Awardee.
Host: USC Viterbi School of Engineering
More Info: https://usc.zoom.us/j/93216913796?pwd=Tm1kVEptS1puUVdOSnZVSW56UCt6dz09
Location: Online Live Stream
Audiences: Everyone Is Invited
Contact: Sheriden Smith
Event Link: https://usc.zoom.us/j/93216913796?pwd=Tm1kVEptS1puUVdOSnZVSW56UCt6dz09
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Ming Hsieh ECE Seminar - Prof. Jacob Nagel, Technion
Fri, May 05, 2023 @ 10:00 AM - 11:30 AM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Jacob Nagel, Professor, Technion
Talk Title: Israel National Security Challenges and its Impact on Force Buildup and Technological Developments, focusing on the Technion Center for Science Security and Technology
Abstract: This seminar (60-90 minutes) will combine topics from my past positions at the Israeli Ministry of Defense and as Israeli National Security Advisor, and in my current position as head of the Technion Center for Science Security and Technology (CSST).
I am continually changing and updating my presentation according to worldwide events and technological advances. This presentation includes current and past events, as well as some anecdotes during some interesting meetings in Israel and around the world. As part of the seminar, I will show movies, photos, and technological demonstrations. Moreover, I will discuss the US-Israel MOU agreement (worth $38B, led and signed by me in 2016) and the special relationship between Israel and the US. Additionally, I will highlight my Technion Center activities and options for cooperation.
Biography: Professor Jacob Nagel (Israel Brigadier General, Res.) is a visiting professor in Aerospace Engineering at the Technion, Haifa, Israel. At the Technion, he is head of the CSST and the Peter Munk Research Institute. He is a senior fellow at the Foundation for Defense of Democracies. With 40 years of experience in Israeli government and intelligence, he teaches defense R&D strategy and policy as well as systems engineering. His areas of interest include: robotics and micro vehicles, aeronautics, rocket engine, space (e.g., satellites and payloads), cyber security, data science, image analysis, energy, and lasers. He served as the Head of the Israel National Security Council (NSC) and as Israel's National Security Advisor (Acting) to the Prime Minister. He also led the negotiations with the US on the most recent ten-year MOU and signed the agreement worth $38B. Prof. Nagel served in various technological positions at the Israel Ministry of Defense - Directorate of Defense R&D. These include the Scientific Deputy and the Acting Head of the military R&D, which is sometimes called "Israel's DARPA".
Host: Alan Willner
More Information: Nagel_Willner_Seminar_5.5.23.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Corine Wong
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Alfred E.Mann Department of Biomedical Engineering - Seminar series
Fri, May 05, 2023 @ 11:00 AM - 12:00 PM
Alfred E. Mann Department of Biomedical Engineering
Conferences, Lectures, & Seminars
Speaker: Matthew Borzage, Ph.D., Assistant Professor, Department of Pediatrics, KSOM, USC
Talk Title: "Approaches for Neurovascular Magnetic Resonance Imaging-Going Beyond BOLD"
Abstract:
Biography:
Host: Brent Liu
More Info: zoom link available upon request
More Information: Flyer Matthew Borzage.pdf
Location: Corwin D. Denney Research Center (DRB) - 145
Audiences: Everyone Is Invited
Contact: Carla Stanard
Event Link: zoom link available upon request
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ECE Seminar: Robust Classification under Sparse Adversarial Attacks
Mon, May 08, 2023 @ 10:00 AM - 11:00 AM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Payam Delgosha, Research Assistant Professor, Computer Science Department, University of Illinois at Urbana Champaign
Talk Title: Robust Classification under Sparse Adversarial Attacks
Abstract: It is well-known that machine learning models are vulnerable to small but cleverly-designed adversarial perturbations that can cause misclassification. While there has been major progress in designing attacks and defenses for various adversarial settings, many fundamental and theoretical problems are yet to be resolved. In this talk, we consider classification in the presence of L0-bounded adversarial perturbations, a.k.a. sparse attacks. This setting is significantly different from other Lp-adversarial settings, with p >= 1, as the L0-ball is non-convex and highly non-smooth. In this talk, we discuss the fundamental limits of robustness in the presence of sparse attacks. In order to find an upper bound on the robust error, we introduce novel classification methods that are based on truncation. Furthermore, in order to find a lower bound on the robust error, we design a specific adversarial strategy which tries to remove the information about the true label given the adversary's budget. We discuss scenarios where the bounds match asymptotically. Motivated by the theoretical success of the proposed algorithm, we discuss how to incorporate truncation as a new component into a neural network architecture, and verify the robustness of the proposed architecture against sparse attacks through several experiments. Finally, we investigate the generalization properties and sample complexity of adversarial training in this setting.
Biography: Payam Delgosha received his B.Sc. in Electrical Engineering and Pure Mathematics in 2012, and his M.Sc. in Electrical Engineering in 2014, both from Sharif University of Technology, Tehran, Iran. He received his Ph.D. in Electrical Engineering and Computer Sciences from the University of California at Berkeley in 2020. He joined the computer science department at the University of Illinois at Urbana Champaign as a research assistant professor in 2020. He received the 2020 IEEE Jack Keil Wolf ISIT best student paper award.
Host: Dr. Richard M. Leahy, leahy@sipi.usc.edu
Webcast: https://usc.zoom.us/j/97124212376?pwd=NTd0QzRzSXk3OGlzL0dIdFdXMmZYZz09More Information: ECE Seminar-Delgosha-050823.pdf
WebCast Link: https://usc.zoom.us/j/97124212376?pwd=NTd0QzRzSXk3OGlzL0dIdFdXMmZYZz09
Audiences: Everyone Is Invited
Contact: Mayumi Thrasher
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MoBI Seminar: Dr Bradley Voytek
Mon, May 08, 2023 @ 11:00 AM - 12:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr Bradley Voytek, Department of Cognitive Science, HalıcıoÄlu Data Science Institute, UC San Diego
Talk Title: The physiology and function of aperiodic neural activity
Series: MoBI Seminar Series
Abstract: Perception, action, and cognition depend upon coordinated neural activity. This coordination operates within noisy, distributed neural networks, which themselves change with development, aging, and disease. Extensive field potential and EEG research shows that neural oscillations interact with neuronal spiking. This interaction has been proposed to be a mechanism for implementing dynamic coordination between brain regions, placing oscillations at the forefront of neuroscience research. Our work challenges our conception of what an oscillation even is. Beginning from basic theory and modeling, we show that traditional analyses conflate non-oscillatory, aperiodic activity with oscillations. To do this, we leverage neural modeling and a breadth of empirical data-”spanning human iPSC-derived cortical organoids, animal electrophysiology, invasive human EEG, and large-scale data mining. We show that, while not all things that appear oscillatory are so, the physiological information we can extract from the local field potential and EEG may nevertheless be far richer than previously thought, including nonsinusoidality of oscillation waveform shape and the aperiodic signal.
Biography: Bradley Voytek is a Professor in the Department of Cognitive Science, the HalıcıoÄlu Data Science Institute, and the Neurosciences Graduate Program at UC San Diego. He's an Alfred P. Sloan Neuroscience Research Fellow and a Kavli Fellow of the National Academies of Sciences, as well as a founding faculty member of the UC San Diego HalıcıoÄlu Data Science Institute and the Undergraduate Data Science program. After his PhD at UC Berkeley, he joined Uber as their first data scientist-”when it was a 10-person startup-”where he helped build their data science strategy and team. His research lab combines large-scale data science and machine learning to study how brain regions communicate with one another, and how that communication changes with aging and disease. He is an advocate for promoting science to the public and speaks extensively with students at all grade levels about the joys of scientific research and discovery. In addition to his academic publications, his outreach work has appeared in outlets ranging from Scientific American and NPR to the San Diego Comic-Con. He is currently writing a book with neuroscientist Ashley Juavinett regarding the powerful future of data science in neuroscience discovery, though his most important contribution to science is his book with fellow neuroscientist Tim Verstynen, "Do Zombies Dream of Undead Sheep?", by Princeton University Press.
Host: Dr Richard Leahy, leahy@sipi.usc.edu | Dr Karim Jerbi, karim.jerbi.udem@gmail.com
Webcast: https://usc.zoom.us/j/97647013783?pwd=d1h2N3hxYUpJVU9CWlduYTZzMWNGQT09More Information: MoBI Seminar Flyer - 05.08.2023 Bradley Voytek.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - EEB 132
WebCast Link: https://usc.zoom.us/j/97647013783?pwd=d1h2N3hxYUpJVU9CWlduYTZzMWNGQT09
Audiences: Everyone Is Invited
Contact: Miki Arlen
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Kuldeep Meel (National University of Singapore) - Functional Synthesis: An Ideal Meeting Ground for Formal Methods and Machine Learning
Tue, May 09, 2023 @ 11:00 AM - 12:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Kuldeep Meel, National University of Singapore
Talk Title: Functional Synthesis: An Ideal Meeting Ground for Formal Methods and Machine Learning
Abstract: Don't we all dream of the perfect assistant whom we can just tell what to do and the assistant can figure out how to accomplish the tasks? Formally, given a specification F(X,Y) over the set of input variables X and output variables Y, we want the assistant, aka functional synthesis engine, to design a function G such that F(X,G(X)) is true. Functional synthesis has been studied for over 150 years, dating back Boole in 1850's and yet scalability remains a core challenge. Motivated by progress in machine learning, we design a new algorithmic framework Manthan, which views functional synthesis as a classification problem, relying on advances in constrained sampling for data generation, and advances in automated reasoning for a novel proof-guided refinement and provable verification. The significant performance improvements call for interesting future work at the intersection of machine learning, constrained sampling, and automated reasoning.
Biography: Kuldeep Meel holds the NUS Presidential Young Professorship in the School of Computing at the National University of Singapore (NUS). His research interests lie at the intersection of Formal Methods and Artificial Intelligence. He is a recipient of the 2022 ACP Early Career Researcher Award, the 2019 NRF Fellowship for AI and was named AI's 10 to Watch by IEEE Intelligent Systems in 2020. His research program's recent recognitions include the CACM Research Highlight Award, 2022 ACM SIGMOD Research Highlight, IJCAI-22 Early Career Spotlight, best paper award nominations at ICCAD-21 and DATE-23.
Host: Mukund Raghothaman
Location: Olin Hall of Engineering (OHE) - 132
Audiences: Everyone Is Invited
Contact: Angela Inostroza-Hoffman / Computer Science
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MoBI Seminar: Quanzheng Li
Mon, May 15, 2023 @ 11:00 AM - 12:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr Quanzheng Li, Associate Professor of Radiology | Massachusetts General Hospital | Harvard Medical School
Talk Title: Artificial intelligence for healthcare using multimodality medical data
Series: MoBI Seminar Series
Abstract: The development of Artificial Intelligence (AI) in healthcare is currently at a critical moment, with tremendous potential for the future but an uncertain trajectory, given the rapid development over the past five years and the emergence of foundation models with astonishing capabilities. In this talk, I will discuss our recent work on using deep neural networks for PET and MR image reconstruction and denoising. Additionally, I will demonstrate how we can leverage deep learning for clinical applications using various multimodality medical data, including imaging, waveforms, electronic health records (EHRs), video, and pathology. Furthermore, I will present some of our preliminary results on the medical application of foundation models (such as GPT and SAM) and discuss potential opportunities and challenges of AI in healthcare.
Biography: Quanzheng Li is an Associate Professor of Radiology at Massachusetts General Hospital (MGH), Harvard Medical School. Dr. Li is also the senior director for research and development, data science office, Massachusetts General Brigham, and the director of the Center for Advanced Medical Computing and Analysis, Massachusetts General Hospital. He received his Ph.D degree in Electrical Engineering from the University of Southern California (USC) in 2005 and had his postdoc training also at USC with Richard Leahy. Dr. Li is the recipient of 2015 IEEE NPSS early achievement award. He is an associate editor of IEEE Transaction on Image Processing, IEEE TMI, Medical Physicis and members of editorial boards of Theronostics and Physics in Medicine and Biology. Dr. Li has more than 200 peer reviewed articles and his team has won AAPM-NIH low dose CT challenge and 2018 Camelyon Challenge on digital pthology. His research interests include image reconstruction for PET, SPECT, CT and MRI, and multimodality medical data analysis using artificial intelligence.
Host: Dr Richard Leahy, leahy@sipi.usc.edu | Dr Karim Jerbi, karim.jerbi.udem@gmail.com
Webcast: https://usc.zoom.us/j/98341725765?pwd=Zm56d2tJWEhTN2JxM1kzd1lEUUhhdz09More Information: MoBI Seminar Flyer - 05.15.2023 Quanzheng Li.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - EEB 349
WebCast Link: https://usc.zoom.us/j/98341725765?pwd=Zm56d2tJWEhTN2JxM1kzd1lEUUhhdz09
Audiences: Everyone Is Invited
Contact: Miki Arlen
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Six Sigma Green Belt for Process Improvement
Tue, May 16, 2023 @ 09:00 AM - 05:00 PM
USC Viterbi School of Engineering
Conferences, Lectures, & Seminars
The Six Sigma Green Belt for Process Improvement course is a short 3 day course where you master the use of Six Sigma to identify problems in your organization, and develop plans to combat them. The Six Sigma Green Belt course is recommended for anyone looking for ways to support your company, no need for an engineering background.
Delivery options: On Campus and Online (Interactive)
Location: TBD
Audiences: Everyone Is Invited
Contact: Melissa Medeiros
Event Link: https://engage.usc.edu/viterbi/rsvp?id=387007
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MoBI Seminar: Dr Patrick Chauvel
Mon, May 22, 2023 @ 11:00 AM - 12:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr Patrick Chauvel, Professor of Neurology, University of Pittsburgh
Talk Title: Comprehending epilepsy with SEEG: the interplay of physiology and modeling
Series: MoBI Seminar Series
Abstract: Stereoelectroencephalography (SEEG) is the only method allowing direct intracerebral recording of seizure onset and propagation in patients with epilepsy. As such, SEEG data are ground truth for building sound research hypotheses on human focal epilepsies. However, since the origins, interpretation of the SEEG signal for the purpose of surgical treatment as well as for research has been a challenge. This lecture will explain why and how different and evolving types of modeling helped understand the nature and significance of ictal electrical patterns.
Biography: After achieving his medical and scientific studies in Neurology and in Neuroscience, Patrick Chauvel became an INSERM (Paris) researcher (1975). At that time, he began his work in experimental and later clinical research into the mechanisms of the epilepsies. Under the mentorship of Talairach and Bancaud at Hospital Sainte-Anne/University René Descartes, Paris, he developed SEEG (Stereo-Electro- EncephaloGraphy) as a presurgical method using intracerebral electrodes for epilepsy surgery (1975-1990). His research work has been devoted to the pathophysiology of the epileptogenic zone, emergence of seizure clinical semiology, and human cerebral cortex physiology. He has promoted the concept of epileptogenic network over the classical epileptic focus idea and opened new vistas in markers of the epileptogenic zone and semiology of focal epilepsies. Taking over from Jean Bancaud, Patrick Chauvel served as the Director of the SEEG Unit in Hospital Sainte-Anne in Paris (1986-1990), then Professor and Chairman of Neurology in Rennes (1990-1997) where he configured a new type of Epilepsy Unit including research, then Professor and Chairman of Clinical Neurophysiology and Director of the INSERM Institute of Systems Neuroscience in Marseille (1997-2014). In 2014, he relocated to the Epilepsy Center of the Cleveland Clinic in order to promote the development of presurgical investigation using SEEG in North America. He was appointed as Professor of Neurology at the Cleveland Clinic Lerner College of Medicine of Case Western Reserve University. In Brisbane, he guided developing SEEG-based epilepsy surgery and related research program. He is currently Professor of Neurology at the University of Pittsburgh, USA, and Honorary Professor at the University of Queensland, Australia. He is developing new methods for presurgical investigation of drug-resistant epilepsies based on SEEG, and research on biomarkers of the epileptogenic zone and neural networks generating clinical semiology. He is the author of more than 250 original articles in international journals and is a member of several international Scientific and Medical Societies. He is a Member of the Royal Academy of Medicine in Belgium.
Host: Dr Richard Leahy, leahy@sipi.usc.edu | Dr Karim Jerbi, karim.jerbi.udem@gmail.com
Webcast: https://usc.zoom.us/j/96993141795?pwd=VjN1L0ZKNkYvU3JQMnkrRFVqOSt6QT09More Information: MoBI Seminar - 2023.05.22 Patrick Chauvel Flyer.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - EEB 132
WebCast Link: https://usc.zoom.us/j/96993141795?pwd=VjN1L0ZKNkYvU3JQMnkrRFVqOSt6QT09
Audiences: Everyone Is Invited
Contact: Miki Arlen
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Traffic Flow of Urban Air Mobility: Modeling, Control, and Simulation
Tue, May 30, 2023 @ 10:00 AM - 11:00 AM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Jack Haddad, Associate Professor of Transportation Engineering with the Civil and Environmental Engineering faculty, the Technion -“ Israel Institute of Technology
Talk Title: Traffic Flow of Urban Air Mobility: Modeling, Control, and Simulation
Abstract: In this talk, we will focus on traffic flow modeling, control, and simulation of urban air mobility. The imminent penetration of low-altitude passenger and delivery aircraft into the urban airspace will give rise to new urban air transport systems, which we call low-altitude air city transport (LAAT) systems. As the urban mobility revolution approaches, we must investigate (i) the individual and collective behavior of LAAT aircraft in cities, and (ii) ways of controlling LAAT systems. Future LAAT systems exemplify a new class of modern large scale engineering systems -” networked control systems. They are spatially distributed, consist of many interconnected elements with control loops through digital communication networks such that the system signals can be exchanged among all components through a common network. Therefore, a decentralized controller design in framework of the unilateral event-driven paradigm is considered. Inspired by controlled urban road networks, in this talk we first establish the concept of Macroscopic Fundamental Diagram (MFD) for LAAT systems and develop a collective and aggregate aircraft traffic flow model. Then, based on that, we design an adaptive boundary feedback flow control which is robust to various anomalies in technical devices and network communication links for LAAT systems.
Biography: Jack Haddad is an Associate Professor of Transportation Engineering with the Civil and Environmental Engineering faculty, the Technion -“ Israel Institute of Technology, and the Head of the Technion Sustainable Mobility and Robust Transportation (T-SMART) Laboratory. He received all his degrees B.Sc. (2003), M.Sc. (2006), and Ph.D. (2010) in Transportation Engineering from the Technion. He served as a post-doctoral researcher (2010-2013) at the Urban Transport Systems Laboratory (LUTS), EPFL, Switzerland. His current research interests include urban air mobility, autonomous vehicles, traffic flow modeling
and control, large-scale complex networks, advanced transportation systems management, and public transportation.
Dr. Haddad serves as an Associate Editor for two journals: Transportation Research Part C and IEEE Transactions on Intelligent Transportation Systems. He was a recipient of the European Union Marie Curie, Career Integration Grant (CIG), and a recipient of two Israel Science Foundation (ISF) grants. He is currently the head of the Technion Transportation Research Institute (TRI), and the Assistant to the Senior Executive Vice President for Equal Opportunities. He is also a Visiting Faculty Researcher at Google.
Host: Dr. Petros Ioannou, ioannou@usc.edu
Webcast: https://usc.zoom.us/j/94759707407?pwd=NGJOMERvNmlyWGtqRkh0dkdDc0dzZz09More Information: ECE-Controls_Seminar-2_Announcement.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - EEB 132
WebCast Link: https://usc.zoom.us/j/94759707407?pwd=NGJOMERvNmlyWGtqRkh0dkdDc0dzZz09
Audiences: Everyone Is Invited
Contact: Miki Arlen
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Nonlinear Small-Gain Theory for Networks and Control
Tue, May 30, 2023 @ 11:00 AM - 12:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Zhong-Ping Jiang, Professor, New York University
Talk Title: Nonlinear Small-Gain Theory for Networks and Control
Abstract: The world is nonlinear and linked. Small-gain theory is one of the most important tools to tackle fundamentally challenging control problems for interconnected nonlinear systems. In this talk, I will first review early developments in nonlinear small-gain theorems and associated nonlinear control design and show how it served as a basic tool to unify numerous results in constructive nonlinear control. Then, I will present recent developments in network/cyclic small-gain theorems for complex large-scale nonlinear systems, with applications to networked and event-triggered control under communications and computation constraints. Finally, I will discuss briefly how machine learning techniques can be invoked to relax the conservativeness of small-gain designs, that falls into the emerging area of learning- based control, a new direction in control theory.
Biography: Zhong-Ping JIANG received the M.Sc. degree in statistics from the University of Paris XI, France, in 1989, and the Ph.D. degree in automatic control and mathematics from ParisTech-Mines (formerly called the Ecole des Mines de Paris), France, in 1993, under the direction of Prof. Laurent Praly.
Currently, he is a Professor of Electrical and Computer Engineering at the Tandon School of Engineering, New York University. His main research interests include stability theory, robust/adaptive/distributed nonlinear control, robust adaptive dynamic programming, reinforcement learning and their applications to information, mechanical and biological systems. In these fields, he has written six books and is the author/co-author of over 500 peer-reviewed journal and conference papers. Prof. Jiang is a recipient of the prestigious Queen Elizabeth II Fellowship Award from the Australian Research Council, CAREER Award from the U.S. National Science Foundation, JSPS Invitation Fellowship from the Japan Society for the Promotion of Science, Distinguished Overseas Chinese Scholar Award from the NSF of China, and several best paper awards. He has served as Deputy Editor- in-Chief, Senior Editor and Associate Editor for numerous journals. Prof. Jiang is a Fellow of the IEEE, IFAC, CAA and AAIA, a foreign member of the Academia Europaea (Academy of Europe) and is among the Clarivate Analytics Highly Cited Researchers. In 2022, he received the Excellence in Research Award from the NYU Tandon School of Engineering.
Host: Dr. Petros Ioannou, ioannou@usc.edu
Webcast: https://usc.zoom.us/j/99411640901?pwd=SjBXZmFjTis3QUZVK3EvOS9ialNWUT09More Information: ECE-Controls_Seminar-1_Announcement.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - EEB 132
WebCast Link: https://usc.zoom.us/j/99411640901?pwd=SjBXZmFjTis3QUZVK3EvOS9ialNWUT09
Audiences: Everyone Is Invited
Contact: Miki Arlen
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MoBI Seminar: Dr Annalisa Pascarella
Tue, May 30, 2023 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr Annalisa Pascarella, Senior Researcher, Institute of Applied Mathematics M. Picone | National Council of Research, Rome, Italy
Talk Title: New adventures in brain electromagnetism: From EEG source reconstruction to exploring the neural dynamics of meditation with MEG
Series: MoBI Seminar Series
Abstract: Electrical source imaging (ESI) is a key component in many EEG analysis pipelines, in both research and clinical settings. Different ESI methods mainly differ by the quality and quantity of a priori information used in the solution of the inverse problem. In this talk I'll present the main result of a recent study in which we compare in-vivo ten different ESI methods from the MNE-python package: wMNE, dSPM, sLORETA, eLORETA, LCMV, dipole fitting, RAP-MUSIC, MxNE, gamma map and Sesame. Exploiting a recently published HD scalp EEG dataset recorded at Niguarda Hospital (Milan, Italy) from Stereo-EEG implanted patients during Single Pulse Electrical Stimulation, the different inverse methods were compared under multiple choices of input parameters to assess the accuracy of the best reconstruction, as well as the impact of the parameters on the localization performance. In the second part of the talk, I'll present some preliminary results on an MEG dataset recorded in a group of expert Buddist monks during resting state (RS) and two different meditation practices: Samatha, a form of focused-attention meditation (FAM) and Vipassana that refers to open-monitoring meditation (OMM). Despite a flourishing body of research investigating the neural correlates of meditation, the underlying neural mechanisms that mediate the distinct processes associated with different forms of meditation are still poorly understood. Exploiting the high temporal resolution of MEG, the key questions we address focus on the characterization of changes in brain dynamics induced by different meditative states as evidenced by criticality and complexity measures.
Biography: Dr. Annalisa Pascarella is a senior researcher at Institute of Applied Mathematics M. Picone, National Council of Research since October 2011. Her main research interests are centered on the formulation, implementation and validation of computational methods for the solution of the MEG/EEG inverse problems with a focus on Bayesian methods to track neural activity. In the last years she has been involved in the development of Neuropycon, an open-source brain data analysis kit which provides reproducible Python-based pipelines for advanced multi-thread processing of fMRI, MEG and EEG data, with a focus on connectivity and graph analyses. Some of her recent projects include the classification of mental states from MEG measurements during various meditation techniques.
Host: Dr Richard Leahy, leahy@sipi.usc.edu | Dr Karim Jerbi, karim.jerbi.udem@gmail.com
Webcast: https://usc.zoom.us/j/91439298406?pwd=bUEvSjlqN1lTZ3lUSVFMbElEV0NVUT09More Information: MoBI Seminar - 2023.05.30 Annalisa Pascarella Flyer.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - EEB 132
WebCast Link: https://usc.zoom.us/j/91439298406?pwd=bUEvSjlqN1lTZ3lUSVFMbElEV0NVUT09
Audiences: Everyone Is Invited
Contact: Miki Arlen
