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Conferences, Lectures, & Seminars
Events for September

  • Alfred E. Mann Department of Biomedical Engineering

    Fri, Sep 01, 2023 @ 11:00 AM - 12:00 PM

    Alfred E. Mann Department of Biomedical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Donny W. Suh, MD, University of California, Irvine, UCI

    Talk Title: An Update to Biomechanical and Biochemical Principles of Retinal Hemorrhage in Abusive Head Trauma and Other forms of Trauma

    Abstract: Our investigation delves into the occurrence of retinal hemorrhages (RH) in pediatric cases stemming from diverse traumatic sources, employing both animal ocular specimens and a computational ocular model. The primary focus is to discern stress distribution patterns arising from linear and angular accelerations, as well as simulate the repetitive shaking experienced by infants. Sclerotomy apertures were meticulously created in the eyes of sheep and primates to expose the retinal tissue, facilitating the measurement of requisite tension stress for retinal separation via nanofiber manipulation. Additionally, a finite element model simulating the pediatric ocular structure was utilized to anticipate tension stress levels during instances of shaking simulating abusive head trauma. Our observations demonstrated that RH can manifest at stress magnitudes akin to those observed in animal eye experimentation during episodes of multiple shaking. Particularly, angular acceleration is implicated in generating concentrated and robust stress gradients along the retinal vasculature, while linear acceleration elicits comparatively milder and more diffused stress patterns towards the posterior ocular pole. Furthermore, employing a multicenter dataset featuring RH images of varying etiologies, we developed an artificial intelligence tool capable of ascertaining the underlying cause of RH. This tool holds potential to aid clinicians in determining the etiology behind cases of RH.

    Biography: DonnyW.Suh,M.D,FAAP,MBA,FACS works at the University of California, Irvine (UCI), Gavin Herbert Eye Institute and at Childrens Hospital of Orange County (CHOC). He is Professor and Chief of Pediatric Ophthalmology and Eye Mobile Program in the Department of Ophthalmology, UCI. He completed his pediatric ophthalmology and strabismus fellowship at The Wilmer Eye Institute, Johns Hopkins University School of Medicine and his ophthalmology residency at The Eye Institute, Medical College of Wisconsin. He received his medical doctorate from Baylor College of Medicine in Houston, Texas and his Bachelor of Arts in biochemistry from Rice University in Houston, Texas.
    Since 2000, Dr. Suh has been a volunteer faculty of the ORBIS Global Health Programs, and has traveled to South America, Europe, Asia, and Africa to provide medical and surgical services to the underserved as well as to teach the local ophthalmologists. He is also the Chairman for Membership Committee for American Academy of Pediatrics (AAP)Ophthalmology Section and has been voted Best Doctor in America and America s Top Ophthalmologist since 2003 to present. He has been inducted to American Ophthalmological Society (AOS), which was founded in 1864, and have been voted Inventor of the Year in 2019 at University of Nebraska Medical Center. Recently, he was nominated and selected as the 2022 Bonnie Strickland Champion for Childrens Vision Award from National Center for Childrens Vision and Eye Health at Prevent Blindness. During his free time, he enjoys golf, traveling, and spending time with family.

    Host: Qifa Zhou

    More Info: Zoom link upon request

    Location: Olin Hall of Engineering (OHE) - 136

    Audiences: Everyone Is Invited

    Contact: Carla Stanard

    Event Link: Zoom link upon request

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  • Epstein Institute, ISE 651 Seminar Class

    Tue, Sep 05, 2023 @ 03:30 PM - 04:50 PM

    Daniel J. Epstein Department of Industrial and Systems Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Victor Zavala, Baldovin-DaPra Professor, Department of Industrial and Systems Engineering, University of Wisconsin

    Talk Title: Graph-Structured Optimization: Properties, Algorithms, and Software

    Host: Prof. Suvrajeet Sen

    More Information: September 5, 2023.pdf

    Location: Social Sciences Building (SOS) - SOS Building, B2

    Audiences: Everyone Is Invited

    Contact: Grace Owh

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  • AME Seminar

    Wed, Sep 06, 2023 @ 03:30 PM - 04:30 PM

    Aerospace and Mechanical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Evangelos Theodorou , Georgia Institute of Technology

    Abstract: In this talk, I will present use cases for stochastic optimal control that span the areas of terrestrial high-speed navigation, control of VTOL vehicles for urban aerial mobility, large-scale multi-agent control, training of score-based models in generative AI, opinion dynamics depolarization and single cell RNA sequencing. The presentation will cover fundamental concepts in stochastic control theory that includes path integrals, Forward-Backward SDEs and Schrodinger Bridges, and highlight the importance of scalable optimization for large scale and real time decision-making. In the last part of the talk, we will look into different distributed optimization architectures for large-scale optimal control and conclude with future directions and vision at the intersection of autonomy, generative AI and large-scale optimization.

    Biography: Evangelos A. Theodorou is an Associate professor with the Guggenheim School of aerospace engineering at Georgia Institute of Technology and Amazon CORE-AI Scholar. He is also the director of the Autonomous Control and Decision Systems Laboratory, and he is affiliated with the Institute of Robotics and Intelligent Machines and the Center for Machine Learning Research at Georgia Tech. Evangelos Theodorou holds a BS in Electrical Engineering, from the Technical University of Crete (TUC), Greece in 2001. He has also received a MSc in Production Engineering from TUC in 2003, a MSc in Computer Science and Engineering from University of Minnesota in spring of 2007 and a MSc in Electrical Engineering on dynamics and controls from the University of Southern California(USC) in Spring 2010. In May of 2011 he graduated with his PhD, in Computer Science from USC. After his PhD, he was a Postdoctoral Research Fellow with the department of computer science and engineering, University of Washington, Seattle. Evangelos Theodorou is the recipient of the King-Sun Fu best paper award of the IEEE Transactions on Robotics in 2012 and a recipient several best paper awards and nominations in top conferences in machine learning and robotics communities. His theoretical research spans the areas of stochastic optimal control theory, machine learning and optimization. Applications involve learning, planning and control in autonomous, robotic and aerospace vehicles, multi-agent and large-scale systems, and dynamical systems in social sciences and biology.

    Host: AME Department

    More Info: https://ame.usc.edu/seminars/

    Webcast: https://usc.zoom.us/j/98121141178?pwd=VGEyaXVWYnRaazFYWUVhbVAycGVWQT09 Meeting ID: 981 2114 1178 Passcode: NhXrDOqQU8

    Location: Seaver Science Library (SSL) - 202

    WebCast Link: https://usc.zoom.us/j/98121141178?pwd=VGEyaXVWYnRaazFYWUVhbVAycGVWQT09 Meeting ID: 981 2114 1178 Passcode: NhXrDOqQU8

    Audiences: Everyone Is Invited

    Contact: Tessa Yao

    Event Link: https://ame.usc.edu/seminars/

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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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  • Alfred E.Mann Department of Biomedical Engineering - Seminar series

    Fri, Sep 08, 2023 @ 11:00 AM - 12:00 PM

    Alfred E. Mann Department of Biomedical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Yu-Ping Wang, Professor of Biomedical Engineering, Computer Sciences, Neurosciences, and Biostatistics & Data Sciences at Tulane University.

    Talk Title: Interpretable multimodal deep learning with application to brain imaging and genomics data fusion

    Abstract: Deep network-based data fusion models have been developed to integrate complementary information from multi-modal datasets while capture their complex relationships. This is particularly useful in biomedical domain, where multi-modal data such as imaging and multi-omics are ubiquitous and the integration of these heterogenous data can lead to novel biological findings. However, deep learning models are often difficult to interpret, bringing about challenges for uncovering biological mechanisms using these models. In this work, we develop an interpretable multimodal deep learning-based fusion model to perform automated disease diagnosis and result interpretation simultaneously. We name it Grad-CAM guided convolutional collaborative learning (gCAM-CCL), which is achieved by combining intermediate feature maps with gradient-based weights in a multi-modal convolution network. The gCAM-CCL model can generate interpretable activation maps to quantify pixel-level contributions of the input fMRI imaging features. Moreover, the estimated activation maps are class-specific, which can therefore facilitate the identification of imaging biomarkers underlying different populations such as age, gender and cognitive groups. Finally, we apply and validate the gCAM-CCL model in the study of brain development with integrative analysis of multi-modal brain imaging and genomics data. We demonstrate its successful application to both the classification of cognitive function groups and the discovery of underlying genetic mechanisms.

    Biography: Dr. Yu-Ping Wang received the BS degree in applied mathematics from Tianjin University, China, in 1990, and the MS degree in computational mathematics and the PhD degree in communications and electronic systems from Xi\'an Jiaotong University, China, in 1993 and 1996, respectively. After his graduation, he had visiting positions at the Center for Wavelets, Approximation and Information Processing of the National University of Singapore and Washington University Medical School in St. Louis. From 2000 to 2003, he worked as a senior research engineer at Perceptive Scientific Instruments, Inc., and then Advanced Digital Imaging Research, LLC, Houston, Texas. In the fall of 2003, he returned to academia as an assistant professor of computer science and electrical engineering at the University of Missouri-Kansas City. He is currently a Professor of Biomedical Engineering, Computer Sciences, Neurosciences, and Biostatistics & Data Sciences at Tulane University. Dr. Wangs recent effort has been bridging the gap between biomedical imaging and genomics, where has over 300 peer reviewed publications. Dr. Wang is a fellow of AIMBE and has served for numerous program committees and NSF and NIH review panels. He is currently an associate editor for J. Neuroscience Methods, IEEE/ACM Trans. Computational Biology and Bioinformatics (TCBB) and IEEE Trans. Medical Imaging (TMI). More about his research can be found at his website: http://www.tulane.edu/~wyp/

    Host: Qifa Zhou

    More Info: zoom link available upon request

    Location: Olin Hall of Engineering (OHE) - 136

    Audiences: Everyone Is Invited

    Contact: Carla Stanard

    Event Link: zoom link available upon request

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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=NTRQWVRDOFBCdUJVdmd5NDFWNzFhUT09

    Location: 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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  • Epstein Institute, ISE 651 Seminar Class

    Tue, Sep 12, 2023 @ 03:30 PM - 04:50 PM

    Daniel J. Epstein Department of Industrial and Systems Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Afrooz Jalilzadeh , Assistant Professor, Department of Systems and Industrial Engineering, The University of Arizona

    Talk Title: Stochastic Approximation Methods for Solving Stochastic Nash Equilibrium Problems

    Host: Dr. Meisam Razaviyayn

    More Information: September 12, 2023.pdf

    Location: Social Sciences Building (SOS) - SOS Building, B2

    Audiences: Everyone Is Invited

    Contact: Grace Owh

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  • Alfred E.Mann Department of Biomedical Engineering - Seminar series

    Wed, Sep 13, 2023 @ 11:00 AM - 12:00 PM

    Alfred E. Mann Department of Biomedical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Cheri X. Deng, Professor of Biomedical Engineering - University of Michigan

    Talk Title: Expanding the boundaries of biomedical ultrasound: recent results in biomaterials and mechanobiology applications

    Abstract: Ultrasound has a long history in medicine, prized for its non-invasive capability and unparalleled safety profile. In recent years, biomedical ultrasound has entered a renaissance, with revived interest and rapid technological advances fueled by transducer and imaging innovations alongside interdisciplinary efforts harnessing new discoveries in basic sciences. Our lab aspires to develop novel ultrasound approaches, expanding the capability and boundaries of the versatile modality through research at the intersection of acoustics, microfabrication, biomaterials, and cell biology. In this presentation, I will highlight recent results from our projects in resonant acoustic rheometry, acoustic tweezing cytometry, and acoustic patterning - with applications in tissue engineering, mechanical characterization of biomaterials and cells, coagulation assessment, mechanobiology, and stem cell differentiation. These examples illustrate our progress and future vision to expand the boundaries of biomedical ultrasound through new collaborations that leverage leading-edge innovations across disciplines.

    Biography: Dr. Cheri Deng is a Professor of Biomedical Engineering and Mechanical Engineering at the University of Michigan. Her research interests include the development of innovative biomedical ultrasound technologies for applications in the areas of imaging and intervention, non-viral intracellular drug and gene delivery, stem cells differentiation, formation of organoids, tissue engineering, biomaterials, biophysics, and mechanobiology. Supported by the National Institutes of Health and National Science Foundation, her lab has worked on various projects such as sonoporation for intracellular delivery, exosomes engineering, quantitative ultrasound imaging, high intensity focused ultrasound tissue ablation, ultrasound technologies for biomaterials/tissue engineering applications, acoustic tweezing cytometry for mechanical phenotyping and stem cell differentiation, as well as contactless acoustic bio-patterning.
    Dr. Deng received her BS in Physics from Nanjing University in China, and Ph.D. in Mechanical Engineering from Yale University. She was a research staff member at Riverside Research Institute in New York City before becoming an assistant professor in the Department of Biomedical Engineering at Case Western Reserve University in 2002. She joined the faculty of University of Michigan in 2007 and was promoted to full professor in 2013. She has served as a reviewer in various study sections for the National Institutes of Health as well as other national and international funding agencies. She is a Fellow of the American Institute for Medical and Biological Engineering (AIMBE). Dr. Deng is currently serving as a member of the executive committee of the College of Engineering at the University of Michigan. She has taught both undergraduate and graduate level courses in the BME department, and mentored Post Doctoral Scientists, Doctoral students, as well as undergraduate student researchers


    Host: Peter Yingxiao Wang- Chair of Alfred E. Mann Department of Biomedical Engineering

    More Info: zoom link available upon request

    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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  • AME Seminar

    Wed, Sep 13, 2023 @ 03:30 PM - 04:30 PM

    Aerospace and Mechanical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Niema Pahlevan, USC

    Talk Title: Hemodynamic Mechanisms of Heart-Aorta-Brain Coupling: From Fluid Dynamics to Advanced Diagnostics and Therapeutics

    Abstract: The circulatory system operates based on a delicate hemodynamic balance between the heart, the aorta (the largest vessel that extends from the heart), and major physiological organs, such as the brain and kidneys. Optimal hemodynamic coupling between these organs can be impaired due to aging and/or diseases. Therefore, understanding the complex fluid dynamic coupling (hemodynamic interactions) between the heart, aorta, and brain is crucial for the diagnostics and therapeutics of related diseases, such as heart failure (HF), dementia, and myocardial infarction (heart attack). The general hypothesis is that wave dynamics in the aorta dominate the pulsatile hemodynamics of the heart and brain, as well as the nonlinear interaction between the two. This talk will elucidate the systems-level effects of aortic hemodynamics on heart-brain interactions. Our long-term goal is to transform our findings into the development of diagnostic, therapeutic, and monitoring devices for heart diseases and vascular brain damage.

    Biography: Dr. Pahlevans research brings physics and mathematics tools to the study of biological systems ranging from understanding the biomechanics of cardiovascular and cerebrovascular diseases to modeling physiological systems. His ultimate goal in each research initiative is to use mathematical and mechanical engineering principles to establish new techniques and/or devices that are relevant for practicing clinicians. Dr. Pahlevan completed his undergraduate degree in Mechanical Engineering from the University of Tehran, his M.S. in Mechanical Engineering from the California State University Northridge, and PhD in Bioengineering from the California Institute of Technology (Caltech). He completed his postdoctoral training in hemodynamics and cardiovascular imaging at Caltech and Huntington Medical Research Institutes (HMRI) as a Boswell fellow. Dr. Pahlevan joined USC in 2017 as an Assistant Professor of Aerospace and Mechanical Engineering in the Viterbi School of Engineering and Assistant Professor of Medicine in the Division of Cardiovascular Medicine. He is the recipient of both the NSF CAREER Award and the American Heart Association Career Development Award. In 2022, he received the Junior Research Award from USC\'s Viterbi School of Engineering and was also appointed the holder of the Gordon S. Marshall Early Career Chair in Engineering.

    More Info: https://ame.usc.edu/seminars/

    Webcast: https://usc.zoom.us/j/98121141178?pwd=VGEyaXVWYnRaazFYWUVhbVAycGVWQT09 Meeting ID: 981 2114 1178 Passcode: NhXrDOqQU8

    Location: Seaver Science Library (SSL) - 202

    WebCast Link: https://usc.zoom.us/j/98121141178?pwd=VGEyaXVWYnRaazFYWUVhbVAycGVWQT09 Meeting ID: 981 2114 1178 Passcode: NhXrDOqQU8

    Audiences: Everyone Is Invited

    Contact: Tessa Yao

    Event Link: https://ame.usc.edu/seminars/

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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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  • Alfred E.Mann Department of Biomedical Engineering - Seminar series

    Fri, Sep 15, 2023 @ 11:00 AM - 12:00 PM

    Alfred E. Mann Department of Biomedical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Cristina Zavaleta, Assistant Professor of Biomedical Engineering - USC

    Talk Title: \"One Little Inspiration Is at the Heart of All Creation: My Academic Journey\"

    Abstract: Dr. Zavaleta was born and raised in a small border town in South Texas, near Mexico. She received her Bachelors degree in Nuclear Medicine at the University of Incarnate Word, a small private university in San Antonio. After graduating, she started in the Medical Physics graduate program at the University of Texas Health Science Center in San Antonio where she focused on utilizing radioactive nanoparticles for the treatment of ovarian cancer. After receiving her Ph.D., she began a postdoctoral fellowship at Stanford University under the guidance of Dr. Sanjiv Sam Gambhir, where she helped pioneer a new molecular imaging strategy that utilizes Raman nanoparticles for cancer detection. She is currently an Assistant Professor at the University of Southern California in the department of Biomedical Engineering. Her lab focuses on providing physicians with new nano-based molecular imaging tools to improve cancer detection and treatment.



    Biography: Dr. Zavaleta was born and raised in a small border town in South Texas, near Mexico. She received her Bachelors degree in Nuclear Medicine at the University of Incarnate Word, a small private university in San Antonio. After graduating, she started in the Medical Physics graduate program at the University of Texas Health Science Center in San Antonio where she focused on utilizing radioactive nanoparticles for the treatment of ovarian cancer. After receiving her Ph.D., she began a postdoctoral fellowship at Stanford University under the guidance of Dr. Sanjiv Sam Gambhir, where she helped pioneer a new molecular imaging strategy that utilizes Raman nanoparticles for cancer detection. She is currently an Assistant Professor at the University of Southern California in the department of Biomedical Engineering. Her lab focuses on providing physicians with new nano-based molecular imaging tools to improve cancer detection and treatment.



    Host: Megan McCain

    More Info: zoom link available upon request

    Location: Olin Hall of Engineering (OHE) - 136

    Audiences: Everyone Is Invited

    Contact: Carla Stanard

    Event Link: zoom link available upon request

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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 520437

    More 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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  • Epstein Institute, ISE 651 Seminar Class

    Tue, Sep 19, 2023 @ 03:30 PM - 04:50 PM

    Daniel J. Epstein Department of Industrial and Systems Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Zeyu Zheng , Assistant Professor, Department of Industrial Engineering & Operations Research, University of California, Berkeley

    Talk Title: Non-stationary A/B Tests

    Host: Dr. Renyuan Xu

    More Information: September 19, 2023.pdf

    Location: Social Sciences Building (SOS) - SOS Building, B2

    Audiences: Everyone Is Invited

    Contact: Grace Owh

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  • AME Seminar

    Wed, Sep 20, 2023 @ 03:30 PM - 04:30 PM

    Aerospace and Mechanical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Perry Johnson, UCI

    Talk Title: Two Fundamental Relations for Turbulent Flows

    Abstract: wo fundamental effects of turbulence are (a) an increased rate at which kinetic energy is dissipated into heat and (b) an enhanced momentum (and heat) flux across boundary layers leading to much higher skin friction drag forces (and surface heat transfer). This presentation will introduce and apply two exact relations related to these fundamental effects, respectively. First, the concept of Stokes Flow Regularization (SFR) provides an exact expression for the scale-wise energy cascade rate in terms of vortex stretching and strain-rate self-amplification. Applied to data from fully-resolved simulations, this precisely quantifies the mechanisms responsible for generating large dissipation rates at small scales. SFR also serves as an intriguing alternative to spatial filtering as the basis of large-eddy simulation modeling. Specific potential modeling advantages will be discussed. Second, the Angular Momentum Integral (AMI) equation for turbulent boundary layers will be introduced. The AMI equation quantifies the impact of various flow phenomena throughout a boundary layer flow on the skin friction relative to a baseline laminar flow. An analogous integral equation for the surface heat transfer will also be introduced. Together, these provide a powerful method for probing flow data in terms of key engineering quantities of interest. Example applications for AMI-based analysis will be shown for boundary layer transition and supersonic turbulent boundary layers.

    Biography: Perry Johnson Perry Johnson earned his Ph.D. in 2017 from Johns Hopkins University (advisor: Charles Meneveau), where his work on velocity gradient dynamics in turbulence won the Corrsin-Kovasznay award. He was then a postdoctoral fellow at the Center for Turbulence Research at Stanford University for three years, working on various topics related to small-scale turbulence, multiphase & particle-laden flows, and boundary layers. He joined the Mechanical and Aerospace Engineering department at the University of California, Irvine in 2020 as an assistant professor. His recent research on the energy cascade was featured in Physics Today, and his forthcoming review of multi-scale velocity gradient dynamics will appear in the next issue of Annual Review of Fluid Mechanics.

    Host: AME Department

    More Info: https://ame.usc.edu/seminars/

    Webcast: https://usc.zoom.us/j/98121141178?pwd=VGEyaXVWYnRaazFYWUVhbVAycGVWQT09 Meeting ID: 981 2114 1178 Passcode: NhXrDOqQU8

    Location: Severance Street House (SSH) - 202

    WebCast Link: https://usc.zoom.us/j/98121141178?pwd=VGEyaXVWYnRaazFYWUVhbVAycGVWQT09 Meeting ID: 981 2114 1178 Passcode: NhXrDOqQU8

    Audiences: Everyone Is Invited

    Contact: Tessa Yao

    Event Link: https://ame.usc.edu/seminars/

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  • Alfred E.Mann Department of Biomedical Engineering - Seminar series

    Fri, Sep 22, 2023 @ 11:00 AM - 12:00 PM

    Alfred E. Mann Department of Biomedical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dominique Duncan, PhD., Assistant Professor of Neurology, BME and USC Stevens Neuroimaging and Informatics

    Talk Title: Large-scale data archives and analytic tools for 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 in addition to analytic tools to identify and validate biomarkers of epileptogenesis in imaging and electrophysiology as well as in molecular, serological, and tissue data. Besides 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: Megan McCain

    More Info: zoom link available upon request

    Location: Olin Hall of Engineering (OHE) - 136

    Audiences: Everyone Is Invited

    Contact: Carla Stanard

    Event Link: zoom link available upon request

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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=YmNGYkJCK1V5SEQwcU1jVllwQVFwZz09

    Location: 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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  • Epstein Institute, ISE 651 Seminar Class

    Tue, Sep 26, 2023 @ 03:30 PM - 04:50 PM

    Daniel J. Epstein Department of Industrial and Systems Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Robert Schuler, Senior Computer Scientist, Research Lead, USC Viterbi Information Sciences Institute (ISI)

    Talk Title: Schema Evolution for Scientific Asset Management

    Host: Prof. Carl Kesselman

    More Information: September 26, 2023.pdf

    Location: Social Sciences Building (SOS) - SOS Building, B2

    Audiences: Everyone Is Invited

    Contact: Grace Owh

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  • AME Seminar

    Wed, Sep 27, 2023 @ 03:30 PM - 04:30 PM

    Aerospace and Mechanical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Sam Tawfick, University of Illinois Urbana-Champaign

    Talk Title: Nonlinear Mechanics and Robotic Mechanisms using Coiled Muscles and Snapping Beams

    Abstract: My group is developing a roadmap for elastic actuating materials to replace bulky electric motors in miniature robots requiring large mechanical work output.

    First, I will describe the mechanics of coiled muscles made by twisting nylon fishing lines, and how these actuators use internal strain energy to achieve a record breaking performance. Then I will describe intriguing hierarchical super, and hyper coiled artificial muscles which exploit the interplay between nonlinear mechanics and material microstructure. Next, I will describe their use to actuate the dynamic snapping of insect-scale jumping robots. The combination of strong but slow muscles with a fast-snapping beam gives rise to dynamic buckling cascade phenomena leading to effective robotic jumping mechanisms.

    These examples shed light on the future of automation propelled by new bioinspired materials, nonlinear mechanics, and unusual manufacturing processes.

    Biography: Sameh Tawfick is an Associate Professor of Mechanical Science and Engineering at the University of Illinois. He studies advanced materials, nonlinear mechanics, and manufacturing processes. Sam obtained his PhD from the University of Michigan, was a Postdoctoral Associate at the Massachusetts Institute of Technology, and a Beaufort Visiting Fellow in St. Johns College at the University of Cambridge in 2023 He is the recipient of young investigator awards from the US Air Force, ASME, SME, and Deans Award for Excellence in Research at Illinois. His teaching awards at the University of Illinois include The Everitt Award for Teaching Excellence, The Two-year Alumni Teaching Award, and The Engineering Council Stanley H. Pierce Award for Empathetic Student-faculty Cooperation.

    Host: AME Department

    More Info: https://ame.usc.edu/seminars/

    Webcast: https://usc.zoom.us/j/98121141178?pwd=VGEyaXVWYnRaazFYWUVhbVAycGVWQT09 Meeting ID: 981 2114 1178 Passcode: NhXrDOqQU8

    Location: Seaver Science Library (SSL) - 202

    WebCast Link: https://usc.zoom.us/j/98121141178?pwd=VGEyaXVWYnRaazFYWUVhbVAycGVWQT09 Meeting ID: 981 2114 1178 Passcode: NhXrDOqQU8

    Audiences: Everyone Is Invited

    Contact: Tessa Yao

    Event Link: https://ame.usc.edu/seminars/

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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/92644326549

    Location: 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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  • Alfred E.Mann Department of Biomedical Engineering - Seminar series

    Fri, Sep 29, 2023 @ 11:00 AM - 12:00 PM

    Alfred E. Mann Department of Biomedical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Xiling Shen, Adjunct Professor, Department of Pathology, Duke University

    Talk Title: Developing multi-modal platforms for next-generation precision medicine

    Abstract: Bodily cells undergo transformations in space and time during development, disease progression, and therapeutic treatment. A holistic approach that combines engineering tools, patient-derived models, and analytical methods is needed to map cellular reprogramming and expose new therapeutic opportunities for precision oncology. The talk will cover our effort across the entire spectrum from bench to bedside, including miniature organoid technology to guide clinical precision- and immuno-oncology, targeting epigenetic and metabolic reprogramming of cancer metastasis, algorithms to identify cancer microbiome, neuromodulation to treat cancer cachexia, and reprogramming organogenesis to create chimeric humanized models.



    Biography: Dr. Shen is currently a professor and the chief scientific officer of the Terasaki Institute for Biomedical Innovation and the founder and chief executive officer of Xilis Inc. He was formerly the Hawkins Family Associate Professor in the Department of Biomedical Engineering at Duke University and Director of the Woo Center for Big Data and Precision Health. He received his BS, MS, and PhD degrees from Stanford University and the NSF faculty career award at Cornell University. He was the steering committee chair of the NCI Patient-Derived Model of Cancer Consortium, co-chair of the NCI Tissue Engineering Consortium, and cancer track chair of Biomedical Engineering Society 2019. His lab studies precision medicine from a systems biology perspective. Areas of interests include cancer, stem cells, the gut-brain axis, and microbiome.



    Host: Qifa Zhou

    More Info: zoom link available upon request

    Location: Olin Hall of Engineering (OHE) - 136

    Audiences: Everyone Is Invited

    Contact: Carla Stanard

    Event Link: zoom link available upon request

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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: 520437

    More 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

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  • SoCal Solids Conference 2023

    Sat, Sep 30, 2023 @ 09:00 AM - 05:30 PM

    Aerospace and Mechanical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Grace Gu, Megan Valentine, Assad Oberai, UC Berkeley, UCSB, USC

    Talk Title: SoCal Solids Conference 2023

    Abstract: The SoCal Solids Conference will be held at the University of Southern California (USC) on Saturday, September 30, 2023 from 9:00 AM - 5:30 PM. A dinner reception will follow at The Lab Gastropub across campus (3500 S Figueroa St, Los Angeles, CA 90007). We encourage all students and early professionals to share research and avail networking opportunities for collaborative efforts. The conference is free! Ten (10) lightning talks are reserved for early career faculty and postdocs, four of which for non-R1 and postdoc scholars. Twenty-plus (20+) lightning talks are open to all researchers. Note: We will notify accepted abstracts by Friday, September 15th.

    Mission: The conference is aimed at facilitating the exchange of ideas, and collaboration amongst mechanics research groups throughout southern California and beyond. The day consists of three keynotes and three rounds of multiple lightning talks.

    PLENARY SPEAKERS:
    - Grace Gu, Assistant Professor of Mechanical Engineering, University of California, Berkeley
    - Megan Valentine, Professor, University of California, Santa Barbara
    - Assad Oberai, Hughes Professor and Professor of Aerospace and Mechanical Engineering, University of Southern California

    Organizers: Paul Plucinsky (USC), Qiming Wang (USC), Lihua Jin (UCLA), M. Khalid Jawed (UCLA), and Shengqiang Cai (UCSD)

    Cost: FREE

    Location: SGM 124 (3620 McClintock Ave, Room 124, Los Angeles, CA 90089)

    Parking: To park in the Downey Parking Structure, enter through the Watt Way Gate on Exposition Blvd. Parking rates are $20/day and collected at Pay-By-Plate (PBP) stations.

    Sponsors: This event is sponsored by NSF Award #2308624, the USC Viterbi School of Engineering, and the USC Viterbi Department of Aerospace and Mechanical Engineering.

    Accessibility: We encourage everyone to participate in the programs and activities. If you anticipate needing any type of accommodation, have questions about the physical access, and/or require materials in an alternate format, please contact Victoria Sevilla (vasevill@usc.edu).

    Host: Aerospace & Mechanical Engineering

    More Info: https://ame.usc.edu/socal-solids-2023/

    More Information: SoCal Solids Flyer.pdf

    Location: Ronald Tutor Campus Center (TCC) - 450

    Audiences: Everyone Is Invited

    Contact: Victoria Sevilla

    Event Link: https://ame.usc.edu/socal-solids-2023/

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