SUNMONTUEWEDTHUFRISAT
Conferences, Lectures, & Seminars
Events for September
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Quantum Science and Technology Seminar Series - Aziza Suleymanzade, Thursday, September 7th at 2pm in EEB 248
Thu, Sep 07, 2023 @ 02:00 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Aziza Suleymanzade, Harvard Univeristy
Talk Title: Quantum network based on color centers in diamond nanocavities
Series: Quantum Science & Technology Seminar Series
Abstract: Silicon Vacancy color centers in diamonds coupled to nanophotonic crystal cavities offer a promising platform for realizing quantum networks, combining long coherence times, efficient coupling to photons with high optical cooperativities, and on-chip scalability. In this talk, I will report on our recent progress toward the realization of such distributed quantum systems. In particular, I will describe experimental generation and long-lived storage of distributed entanglement across a two-node network separated by 40 km fiber. Finally, I will discuss potential applications of distributed entanglement, such as blind delegated computing and long-baseline interferometry.
Biography: Aziza is a postdoc at Harvard in the group of Mikhail Lukin. She did her PhD at the University of Chicago in groups of Jon Simon and David Schuster, working on the transduction of single optical to millimeter wave photons using Rydberg atoms in cavities. Aziza got a Bachelor's degree from Harvard University and an MPhil from the University of Cambridge, where she built an experiment for generating potassium-39 BEC in a uniform box potential.
Host: Quntao Zhuang, Wade Hsu, Mengjie Yu, Jonathan Habif, Eli Levenson-Falk
More Information: Aziza Suleymanzade Flyer.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Marilyn Poplawski
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ECE Seminar: Large-scale data archives and AI methods to study neurological disorders
Tue, Sep 12, 2023 @ 11:00 AM - 12:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dominique Duncan, Assistant Professor, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC
Talk Title: Large-scale data archives and AI methods to study neurological disorders
Abstract: The Epilepsy Bioinformatics Study for Antiepileptogenic Therapy (EpiBioS4Rx) is a multi-site, international collaboration including a parallel study of humans and an animal model, collecting MRI, EEG, and blood samples. The development of epilepsy after traumatic brain injury (TBI) is a multifactorial process and crosses multiple modalities. Without a full understanding of the underlying biological effects, there are currently no cures for epilepsy. This study aims to address both issues, calling upon data generated and collected at sites spread worldwide among different laboratories, clinical sites, in different formats, and across multicenter preclinical trials. Before these data can even be analyzed, a central platform is needed to standardize these data and provide tools for searching, viewing, annotating, and analyzing them. We have built a centralized data archive that will allow the broader research community to access these shared data as well as artificial intelligence (AI) methods and other analytic tools to identify biomarkers of epileptogenesis in imaging, electrophysiology, molecular, serological, and tissue data. In addition to EpiBioS4Rx, we have also developed other large-scale multimodal data archives, including the Data Archive for the BRAIN Initiative (DABI) and the COVID-19 Data Archive (COVID-ARC) to encourage collaboration and expedite research in these areas.
Biography: Dominique Duncan is an assistant professor of Neurology, Neuroscience, and Biomedical Engineering at the USC Stevens Neuroimaging and Informatics Institute in the Laboratory of Neuro Imaging (LONI) at the University of Southern California. Dr. Duncan's background spans mathematics, engineering, and neuroscience. She received her PhD at Yale University in Electrical Engineering where she analyzed intracranial EEG data using nonlinear factor analysis to identify preseizure states of epilepsy patients. Dr. Duncan is funded through both the National Institutes of Health (NIH) and the National Science Foundation (NSF). She has built international, multidisciplinary collaborations and developed novel analytic tools to analyze multimodal data, including imaging and electrophysiology, particularly in the areas of traumatic brain injury, epilepsy, and COVID-19. By creating large-scale data repositories and linking them with analytic, visualization, and quality control tools for multimodal data, her work aims to encourage collaboration across multiple fields.
Host: Dr. Richard M. Leahy, leahy@usc.edu
Webcast: https://usc.zoom.us/j/94639832582?pwd=NTRQWVRDOFBCdUJVdmd5NDFWNzFhUT09Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
WebCast Link: https://usc.zoom.us/j/94639832582?pwd=NTRQWVRDOFBCdUJVdmd5NDFWNzFhUT09
Audiences: Everyone Is Invited
Contact: Mayumi Thrasher
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Quantum Science & Technology Seminar - Irfan Siddiqi, Thursday, 9/14 at 2pm in EEB 248
Thu, Sep 14, 2023 @ 02:00 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Irfan Siddiqi, University of California Berkeley
Talk Title: Extending the Reach of Quantum Computers via Noise Tailoring
Series: Quantum Science & Technology Seminar Series
Abstract: Noise processes limit the coherence of quantum processors, and therefore limit the number of quantum logical gate operations that can be performed in a single computation. Common error types include coherent errors where the purity of a quantum state is preserved but the phase is scrambled, and stochastic errors where information is lost to an inaccessible environment, resulting a statistical mixture. Though somewhat counterintuitive, coherent errors are typically more pernicious and accumulate faster during a quantum computation. By tailoring coherent errors into stochastic ones, we extend the circuit depth of quantum chemistry and nuclear physics simulations that can be performed on current superconducting quantum processing units.
Biography: Irfan Siddiqi is a Professor of Physics and Department Chair at the University of California, Berkeley. He is also a Professor of Electrical Engineering & Computer Science, and holds a faculty scientist position at Lawrence Berkeley National Laboratory (LBNL). Siddiqi is currently the director of the Quantum Nanoelectronics Laboratory at UC Berkeley and the Advanced Quantum Testbed at LBNL. Siddiqi is known for contributions to the fields of superconducting quantum circuits, including dispersive single-shot readout of superconducting quantum bits, quantum feedback, observation of single quantum trajectories, and near-quantum limited microwave frequency amplification. He was awarded the American Physical Society George E. Valley Jr. Prize in 2006 "for the development of the Josephson bifurcation amplifier for ultra-sensitive measurements at the quantum limit" and the 2021 John F. Keithley Award for Advances in Measurement Science. Siddiqi is a fellow of the American Physical Society and a recipient of the UC Berkeley Distinguished Teaching Award in 2016, the institution's highest honor for teaching and commitment to pedagogy.
Host: Quntao Zhang, Wade Hsu, Mengjie Yu, Jonathan Habif & Eli Levenson-Falk
More Information: Irfan Siddiqi Flyer.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Marilyn Poplawski
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MHI ISSS Seminar - Dr. Roxann Broughton-Blanchard, Friday, 9/15 at 2pm in EEB 248
Fri, Sep 15, 2023 @ 02:00 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Roxann Broughton-Blanchard, Sr. Manager RF Design, Advanced Data Converters, Analog Device, USA
Talk Title: RF Integrated Systems: Antenna-to-Computation
Series: Integrated Systems
Abstract: For decades, expanding wireless capacity has been driven by advances in RF IC technology towards the most efficient use of electromagnetic spectrum. Smaller, faster silicon devices have enabled the calibrations and DSP required for complex channel coding, pushing lower-frequency wireless systems close to the Shannon limit of capacity. The advent of SiGe BiCMOS and fine line RF CMOS has extended RF signal processing to 100 GHz and beyond, expanding the usable electromagnetic spectrum and wireless data capacity. Advanced materials have given rise to single-function superstar LNA's, switches and PA's to efficiently interface with the antenna, the highest performing now well beyond 100 GHz. Today with 5G beamforming, communication system technologies have borrowed from and converged with mature radar
technologies, and the wireless connectivity universe is expanding even more rapidly. But this expansion of the data capacity in the airwaves has pushed us up against the bottleneck of processing and off-loading data in the wired world. To take full advantage of the potential of these RF IC technologies, next-generation integrated systems must adopt a more holistic approach to optimize not just the entire signal chain, but the entire data chain. A system that was once defined from the antenna to bits and back again, must now be defined from antenna to computation and back again, including the algorithms and software required to drive complex RF SoCs. This talk will look at the evolution of the RF ICs that comprise a typical communication system, their connectivity to each other, their intersection with the RF transceivers of today, and the future challenges and opportunities awaiting the next generation of integrated system designers.
Biography: Roxann R. Broughton-Blanchard (M'99) received the B.S. degree from the University of Vermont, Burlington, and the M.S. and Ph.D. degrees from the Massachusetts Institute of Technology (MIT), Cambridge, in 1989, 1994, and 1999, respectively, all in
engineering. Her Ph.D. research focused on GaAs and InP microwave device performance and reliability, with seminal work on the impact of hydrogen on devices fabricated with Ti/Pt/Au gates. She joined Analog Devices Inc (ADI) in 1999 where she has pursued RFIC design in SiGe BiCMOS and RF CMOS technologies for the Mobile Communications and WIFR markets. Since 2018 she has led the RF design team for some of ADI's most advanced Direct-
Conversion RF Transceivers and SoCs. Her current research interests are in the area of high performance RF SoC integration through advanced packaging and heterogeneous integration, with emphasis on performance optimization of the full system solution. Dr. Broughton-Blanchard holds 3 patents and has published over
25 refereed papers through the IEEE and ADI internal conferences, with multiple Best Paper awards. She currently serves on the RFIC Technical Program Committee and will be the 2024 sub-committee chair for Wireless Radios and Systems-on- Chip.
Host: MHI - ISSS, Hashemi, Chen and Sideris
Webcast: Zoom ID 91998427261 Passcode 520437More Information: Roxann Broughton-Blanchard Flyer.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
WebCast Link: Zoom ID 91998427261 Passcode 520437
Audiences: Everyone Is Invited
Contact: Marilyn Poplawski
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ISSS - Subhanshu Gupta, Friday, 9/22 at 2pm in EEB 248
Fri, Sep 22, 2023 @ 02:00 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Subhanshu Gupta, Washington State University
Talk Title: Redefining Scalable Arrays using Bandwidth, Aperture, and Temperature for Next-Generation Wireless Networks
Series: Integrated Systems
Abstract: Emerging millimeter-wave and sub-THz communications promises to address the bandwidth limitations faced at sub-6GHz bands. Communications at this higher frequency however requires multiple antennas to compensate for propagation loss resulting in pointed beams. Conditional on the link being established, these beams provide wide bandwidths. However, these links can be short-lived for users with high mobility necessitating energy-efficiency and low-latency direction-finding approaches. These challenges necessitate rethink of multi-antenna radio front-ends for them to not only synergistically work with the digital signal processor but also satisfy new features meeting the energy- and spectral-efficiencies.
This talk will present recent research in true-time-delay based spatial signal processors to enable fast direction finding as well as wideband data communications for mobile communication applicable to sub-6GHz and millimeter-wave frequencies. Leveraging nanoseconds of delay ranges with picosecond resolutions, we describe true-time-delay based phased arrays capable of handling wide fractional bandwidths and enabling fast link discovery while maximizing the spectral- and energy-efficiencies. Pursuant to this, we will elaborate on interference-mitigation techniques in congested and contested networks that are critical for high energy- and spectral efficiencies. We will conclude this talk highlighting ongoing research on optimization of joint communications and wideband sensing, and temperature-scalable arrays that can potentially transform emerging wireless and space communications harnessing conjoined operations at room- and ultra-low-temperatures.
Biography: Subhanshu Gupta received his Ph.D. from the University of Washington in 2010. Before joining the electrical engineering and computer science at Washington State University as an Assistant Professor in 2015, he worked in the radio frequency group at MaxLinear Inc. from 2011 to 2014. He is currently an Associate Professor at WSU.
Subhanshu serves on the editorial boards for IEEE TCAS-1 (2019-present) and IEEE RFIC TPC since 2021. He has also been a recipient of the National Science Foundation CAREER Award in 2019, Cisco Faculty Award in 2017, and Defense Research Instrumentation Awards (DURIP) in 2020. His research interests lie in wideband energy-efficient next-generation wireless / wired communications, stochastic optimization, and temperature-scalable electronics.
Host: MHI - ISSS, Hashemi, Chen and Sideris
More Information: Shuhansu Gupta Flyer.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Marilyn Poplawski
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ECE Seminar: Verifiable Control of Learning-Enabled Autonomous Systems
Tue, Sep 26, 2023 @ 12:00 PM - 01:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Lars Lindemann, Assistant Professor, USC Thomas Lord Department of Computer Science
Talk Title: Verifiable Control of Learning-Enabled Autonomous Systems
Abstract: Autonomous systems research shows great promise to enable many future technologies such as autonomous driving, intelligent transportation, and robotics. Accelerated by the computational advances in machine learning and AI, there has been tremendous success in the development of learning-enabled autonomous systems over the past years. At the same time, however, new fundamental questions arise regarding the safety and reliability of these increasingly complex systems that operate in dynamic and unknown environments. In this talk, I will provide new insights and discuss exciting opportunities to address these challenges.
In the first part of the talk, we focus on reasoning about uncertainty of learning-enabled components in an autonomy stack. Existing model-based techniques are usually too conservative or do not scale. I will instead advocate for conformal prediction as an accurate and computationally lightweight alternative. We will first use conformal prediction to design predictive runtime verification algorithms that quantify uncertainty of learning-enabled systems. These algorithms can effectively compute the probability of a task violation during the execution of the system. I will then show how to design probabilistically safe motion planning algorithms in dynamic environments using such uncertainty quantification. While existing data-driven approaches quantify uncertainty heuristically, we quantify uncertainty in a distribution-free manner. Using ideas from adaptive conformal prediction, we can even deal with distribution shifts, i.e., when test and training distributions are different. We illustrate the method on a self-driving car and a drone that avoids a flying frisbee. In the second part of the talk, I present an optimization framework to learn safe control laws from expert demonstrations. In most safety-critical systems, expert demonstrations in the form of system trajectories that showcase safe system behavior are readily available or can easily be collected. I will propose a constrained optimization problem with constraints on the expert demonstrations and the system model to learn control barrier functions for safe control. Formal guarantees are provided in terms of the density of the data and the smoothness of the system model. We then discuss how we can account for model uncertainty and hybrid system models, and how we can learn safe control laws from high-dimensional sensor data. Two case studies on a self-driving car and a bipedal robot illustrate the method.
Biography: Lars Lindemann is currently an Assistant Professor at the Department of Computer Science at the University of Southern California where he leads the Safe Autonomy and Intelligent Distributed Systems (SAIDS) lab. Prior to joining USC, he was a Postdoctoral Fellow in the Department of Electrical and Systems Engineering at the University of Pennsylvania from 2020 and 2022. He received the Ph.D. degree in Electrical Engineering from KTH Royal Institute of Technology in 2020. Prior to that, he received the M.Sc. degree in Systems, Control and Robotics from KTH in 2016 and two B.Sc. degrees in Electrical and Information Engineering and in Engineering Management from the Christian-Albrecht University of Kiel in 2014. His current research interests include systems and control theory, formal methods, and autonomous systems. Lars received the Outstanding Student Paper Award at the 58th IEEE Conference on Decision and Control and the Student Best Paper Award (as a co-author) at the 60th IEEE Conference on Decision and Control. He was a finalist for the Best Paper Award at the 2022 Conference on Hybrid Systems: Computation and Control and for the Best Student Paper Award at the 2018 American Control Conference.
Host: Dr. Rahul Jain, rahul.jain@usc.edu
Webcast: Webcast: https://usc.zoom.us/j/99747592573?pwd=YmNGYkJCK1V5SEQwcU1jVllwQVFwZz09Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
WebCast Link: Webcast: https://usc.zoom.us/j/99747592573?pwd=YmNGYkJCK1V5SEQwcU1jVllwQVFwZz09
Audiences: Everyone Is Invited
Contact: Mayumi Thrasher
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Quantum Science & Technology Seminar - Alec Eickbusch, Thursday, 9/28 at 2pm in EEB 248
Thu, Sep 28, 2023 @ 02:00 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Alec Eickbusch, Yale University
Talk Title: Advances in control and error correction of GKP codes in superconducting circuits
Series: Quantum Science & Technology Seminar Series
Abstract: The past four years have seen rapid experimental progress in realizing the quantum error correction code proposed in 2001 by Gottesman, Kitaev, and Preskill (GKP) in which logical states are encoded as oscillator grid states [1]. Recent milestones include code preparation and real-time error correction in trapped-ion motional modes and in superconducting cavities [2-6]. In this overview talk, I will review experiments from our lab at Yale that have led to these advances, focusing on the engineering of an experimental architecture for the code's realization in superconducting circuits [2]. I also will demonstrate how the same tools can be used for universal control of an oscillator with weak dispersive coupling to a qubit [5]. Finally, I will share our recent results on optimizing the error correction protocol using model-free reinforcement learning, leading to the demonstration of a fully error-corrected quantum memory with coherence beyond break even [6].
[1] Gottesman, Kitaev, Preskill, PRA 2001; [2] Campagne-Ibarcq, Eickbusch, Touzard et al. Nature 2020 ; [3] Flühmann et al. Nature 2019 ; [4] de Neeve et al. Nature Physics 2022; [5] Eickbusch et al. Nature Physics 2022; [6] Sivak et al. Nature 2023
Biography: Alec Eickbusch is a PhD candidate in applied physics at Yale University in the group of Michel Devoret. Alec did his undergraduate studies at the University of Texas at Austin where he earned degrees in physics and electrical engineering. At Yale, Alec's research has focused on bosonic quantum error correction in superconducting circuits and quantum control of high-quality oscillators. Alec is also a consultant for Nord Quantique, and he will join Google Quantum AI as a research scientist in Fall 2023.
Host: Quntao Zhang, Wade Hsu, Mengjie Yu, Jonathan Habif & Eli Levenson-Falk
Webcast: https://usc.zoom.us/j/92644326549Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
WebCast Link: https://usc.zoom.us/j/92644326549
Audiences: Everyone Is Invited
Contact: Marilyn Poplawski
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ISSS - Changzhi Li, Friday, 9/29 at 2pm in EEB 248
Fri, Sep 29, 2023 @ 02:00 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Changzhi Li, Texas Tech University
Talk Title: Portable Radar Systems at the Human-Microwave Frontier: Life Activity Sensing and Human Tracking
Series: Integrated Systems
Abstract: By sensing various life activities with microwave signals, portable radar with state-of-the-art front-end and measurement algorithms has great potential to improve healthcare, security, and human-machine interface. This presentation will first provide an overview on the state-of-the-art smart radar sensors powered by advanced digital/RF beamforming, multiple-input and multiple-output (MIMO), inverse synthetic-aperture radar (ISAR) technique, and deep learning. A few examples based on interferometry, Doppler, frequency-shift keying (FSK), and frequency-modulated continuous-wave (FMCW) modes at 5.8 GHz, 24 GHz, and 120 GHz will be discussed. In addition, the use of nonlinear technologies will be reported, with a focus on in-band third-order intermodulation measurement for enhanced target identification and parameter extraction. Case studies at this exciting human-microwave frontier will be given on physiological signal sensing, non-contact human-computer interface, driving behavior recognition, human tracking, and anomaly detection.
As smart radar sensors enter the healthcare, automotive, and smart living sectors of daily life, measures to enhance its security against malicious attacks are of paramount importance. This part of the talk will discuss possible ways of malicious attacks to radar sensors. Then technologies that mitigate potential spoofing attacks will be unveiled to make smart radar sensors more secure and trustworthy. Finally, this talk will conclude with future industrial and academic R&D outlooks for microwave short-range life activities sensing.
Biography: Changzhi Li received a Ph.D. degree in Electrical Engineering from the University of Florida, Gainesville, FL in 2009. He is a Professor at Texas Tech University. His research interest is microwave/millimeter-wave sensing for healthcare, security, and human-machine interface.
Dr. Li is an MTT-S Distinguished Microwave Lecturer. He was a recipient of the IEEE MTT-S Outstanding Young Engineer Award, the IEEE Sensors Council Early Career Technical Achievement Award, the ASEE Frederick Emmons Terman Award, the IEEE-HKN Outstanding Young Professional Award, and the U.S. National Science Foundation (NSF) Faculty CAREER Award. He is an Associate Editor of the IEEE JOURNAL OF ELECTROMAGNETICS, RF AND MICROWAVES IN MEDICINE AND BIOLOGY. He is the General Co-chair of the 2023 IEEE Radio & Wireless Week (RWW). He served as the chair of the MTT-S Technical Committee "Biological Effect and Medical Applications of RF and Microwave" from 2018 to 2019, the TPC Chair of the 2022 IEEE RWW, a TPC Co-Chair of the IEEE MTT-S International Microwave Biomedical Conference (IMBioC) from 2018 to 2019, and the IEEE Wireless and Microwave Technology Conference from 2012 to 2013. He is a Fellow of the National Academy of Inventors.
Host: MHI - ISSS, Hashemi, Chen and Sideris
Webcast: Zoom Meeting ID: 919 9842 7261, Passcode: 520437More Information: Abstract and Bio_C_Li.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
WebCast Link: Zoom Meeting ID: 919 9842 7261, Passcode: 520437
Audiences: Everyone Is Invited
Contact: Marilyn Poplawski
