SUNMONTUEWEDTHUFRISAT
Events for the 3rd week of September
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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
