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Conferences, Lectures, & Seminars
Events for October
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ECE Seminar: Unlocking the Future: Designing Next-Generation AI Chips with AI Algorithms
Tue, Oct 01, 2024 @ 10:00 AM - 11:00 AM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Sung Kyu Lim, Motorola Solutions Foundation Professor, Georgia Institute of Technology
Talk Title: Unlocking the Future: Designing Next-Generation AI Chips with AI Algorithms
Abstract: Data, chips, and algorithms form the backbone of the AI revolution, demanding hardware as sophisticated as orchestrating a bustling city. In this technological realm, GPUs and high-bandwidth memory are essential yet frequently strained by the immense volume of data traffic. By employing 2.5D and 3D IC architectures through heterogeneous integration, we can greatly enhance energy efficiency and reduce latency in data transfers. A key component of this advancement is the automation of design and simulation for heterogeneous AI chips, where powerful algorithms take the lead, rather than humans. This remarkable capability hinges on advanced electronic design automation (EDA) tools. At Georgia Tech, my research team merges AI-driven and traditional algorithms to bolster EDA capabilities, specifically engineered for developing cutting-edge heterogeneous AI chips. In my talk, I will spotlight these innovations and address the ongoing challenges in AI chip design and EDA.
Biography: Prof. Sung Kyu Lim earned his Ph.D. in Computer Science from UCLA in 2000. Since 2001, he has been a faculty member at the School of Electrical and Computer Engineering at the Georgia Institute of Technology. His research explores the architecture, design, and electronic design automation (EDA) of 2.5D and 3D integrated circuits, contributing to over 400 published papers. He received the Best Paper Awards from the IEEE Transactions on CAD in 2022 and the ACM Design Automation Conference in 2023. He is an IEEE Fellow and served as a program manager at DARPA's Microsystems Technology Office from 2022 to 2024.
Host: Dr. Peter Beerel, pabeerel@usc.edu
More Info: (USC NetID login required to join seminar)
Webcast: https://usc.zoom.us/j/98539005883?pwd=naX0FZKrFLJwk7umPV6nneLbvRzZQF.1Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132 - LOCATION CHANGE
WebCast Link: https://usc.zoom.us/j/98539005883?pwd=naX0FZKrFLJwk7umPV6nneLbvRzZQF.1
Audiences: Everyone Is Invited
Contact: Mayumi Thrasher
Event Link: (USC NetID login required to join seminar)
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MHI - Physics Joint Seminar Series, Haocun Yu, Tuesday, October 1st at 2pm in EEB 248 & Zoom
Tue, Oct 01, 2024 @ 02:00 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Haocun Yu, Marie-Curie Postdoctoral Fellow - University of Vienna
Talk Title: Using Quantum Optics to Illuminate the Universe's Mysteries
Series: MHI Physics Joint Seminar Series
Abstract: Advanced quantum techniques are revolutionizing our ability to observe and understand the universe. From employing squeezing in LIGO detectors to demonstrate human-scale macroscopic quantum phenomena, to utilizing photon-counting methods for measuring Earth's rotation and detecting dark matter, I will discuss how quantum optical applications enhance precision measurements, interface quantum mechanics and gravity, and offer new insights into fundamental questions about the nature of our universe.
Biography: Haocun Yu is a Marie-Cuire Postdoctoral Fellow at the University of Vienna working with Prof. Philip Walther. She completed her Ph.D. in physics in MIT LIGO group working with Prof. Nergis Mavalvala, working on quantum techniques and phenomena for gravitational-wave detectors. Her research interests lie in using various quantum techniques and precision sensing methods for fundamental physics. Her work has been recognized with honors including the MIT Martin Deutsch Award, APS Carl E. Anderson Dissertation Award, and Boeing Quantum Creators Prize. She is enthusiastic about continuing interdisciplinary work that advances quantum technologies and addresses intriguing fundamental questions about our world.
Host: Quntao Zhuang, Eli Levinson-Falk, Jonathan Habif, Daniel Lidar, Kelly Luo, Todd Brun, Tony Levi, Stephan Haas
Webcast: https://usc.zoom.us/j/92584409725More Information: Haocun Yu New Flyer.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132 - Location Change
WebCast Link: https://usc.zoom.us/j/92584409725
Audiences: Everyone Is Invited
Contact: Marilyn Poplawski
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Epstein Institute, ISE 651 Seminar Class
Tue, Oct 01, 2024 @ 03:30 PM - 04:50 PM
Daniel J. Epstein Department of Industrial and Systems Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Joao P. Hespanha, UC Santa Barbara
Talk Title: Koopman Operator, Entity-Based Systems, and Video Games
Host: Dr. Johannes Royset
More Information: Flyer 651 Dr. Joao P Hespanha 10.1.24.png
Location: Social Sciences Building (SOS) - B2
Audiences: Everyone Is Invited
Contact: Casi Jones/ ISE
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Alfred E.Mann Department of Biomedical Engineering - Seminar series
Wed, Oct 02, 2024 @ 11:00 AM - 12:00 PM
Alfred E. Mann Department of Biomedical Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Ji-Xin Cheng, Ph.D., Moustakas Chair Professor in Photonics and Optoelectronics; Professor of Biomedical Engineering. Professor of Electrical & Computer EnProfessor of Chemistry & Professor of Physics Boston University
Talk Title: Seeing the unseen using molecular fingerprints
Abstract: Spectrochemical imaging, using intrinsic fingerprint spectroscopic signals from molecules as a contrast mechanism, opens a new window for understanding life at the molecular level and also enables molecule-based precision diagnosis of diseases. Yet, the intrinsic spectroscopic signal, especially the vibrational signals from chemical bonds, is weaker than the fluorescence signal from a dye by many orders of magnitude. Detecting such weak signal from a tight focus (i.e., a small volume of ~1 femtoliter) under a microscope is extremely challenging and was considered nearly impossible. Ji-Xin Cheng devoted his career to overcoming such daunting barrier through developing advanced chemical microscopes over the past 25 years. In this lecture, Cheng will tell his journey of serendipity-driven innovation, scientific discovery, clinical translation, and entrepreneurship in the growing field of chemical imaging.
Biography: Ji-Xin Cheng attended University of Science and Technology of China (USTC) from 1989 to 1994. From 1994 to 1998, he carried out his PhD study on bond-selective chemistry at USTC. As a graduate student, he worked as a research assistant at Universite Paris-sud (France) on vibrational spectroscopy and the Hong Kong University of Science and Technology (HKUST) on quantum dynamics theory. After postdoctoral training on ultrafast spectroscopy at HKUST, he joined Sunney Xie’s group at Harvard University as a postdoc, where he spearheaded the development of CARS microscopy that allows high-speed vibrational imaging. Cheng joined Purdue University in 2003 as Assistant Professor in Weldon School of Biomedical Engineering and Department of Chemistry, promoted to Associate Professor in 2009 and Full Professor in 2013. He joined Boston University as the Inaugural Theodore Moustakas Chair Professor in Photonics and Optoelectronics in summer 2017.
Among his honors, Cheng is the recipient of the 2024 Raman Innovation Award at the International Conference of Raman Spectroscopy (ICORS, Rome), the 2024 Analytical Chemistry Spectrochemical Analysis Award from American Chemical Society, the 2024 Charles Delisi Award from Boston University College of Engineering, the 2024 Biophotonics Technology Innovator Award from International Society for Optics and Photonics (SPIE), the 2022 Boston University Innovator of Year, the 2020 Pittsburgh Spectroscopy Award from the Spectroscopy Society of Pittsburgh, the 2019 Ellis R. Lippincott Award from Optica, Society for Applied Spectroscopy, and Coblentz Society, the 2016 Research Award from Purdue University College of Engineering, and the 2015 Craver Award from Coblentz Society.
Host: Qifa Zhou
Location: Corwin D. Denney Research Center (DRB) - 145
Audiences: Everyone Is Invited
Contact: Carla Stanard
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When does human-centered AI (fail to) scale?
Wed, Oct 02, 2024 @ 02:00 PM - 03:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Dr. Angel Hwang (she/her), Assistant Professor, USC Annenberg School for Communication and Journalism
Talk Title: When does human-centered AI (fail to) scale?
Abstract: State-of-the-art AI systems are built and deployed at the societal scale, increasing the need to consider sociotechnical factors for implementing systems of such magnitude. In contrast, individual user experience has long been the core of designing and developing user-friendly technologies. Through a series of experiments and case studies, I examine challenges and breakdowns as one extends individual-centered approaches to design societal-scale AI systems.
This lecture satisfies requirements for CSCI 591: Research Colloquium.
Biography: Angel Hsing-Chi Hwang (she/her) is an Assistant Professor at USC Annenberg School for Communication and Journalism. Her research explores the societal impact of AI-powered technologies on work practices. In her past and present work, she focuses on how practitioners design, build, and/or apply AI to facilitate group interaction, produce creative content, and balance everyday wellness.
Host: CAIS
More Info: https://cais.usc.edu/events/usc-cais-seminar-with-dr-angel-hwang/
Location: Montgomery Ross Fisher Building (school Of Social Work) (MRF) - 102
Audiences: Everyone Is Invited
Contact: Thomas Lord Department of Computer Science
Event Link: https://cais.usc.edu/events/usc-cais-seminar-with-dr-angel-hwang/
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AME Seminar
Wed, Oct 02, 2024 @ 03:30 PM - 04:30 PM
Aerospace and Mechanical Engineering
Conferences, Lectures, & Seminars
Speaker: Andres Jared Goza, University of Illinois Urbana-Champaign
Talk Title: Lighting the fuse to enable metamaterials for passive, adaptive flow control
Abstract: Unsteady flow control is challenging in many engineering domains. Active techniques are costly, energy-intensive, and heavy, while passive approaches often lack robustness in handling complex flow dynamics. Metamaterials are structures with engineered architecture, allowing for catered response behaviors to stimuli. These structures offer a transformative potential for flow control by flow-metamaterial interaction, FMI. FMI could allow engineers to leverage architected structures to passively and adaptively produce desired flow responses.
To capitalize on this potential, however, we must first identify which classes of metamaterials are most promising for different flow scenarios, and understand how to align the key metamaterial behaviors with the relevant flow length- and timescales to enable favorable flow-structure interplay. This understanding must account for the behavior of the fully coupled flow-metamaterial system, which will generally yield dynamics with distinct time/length scales from those of the constituent flow/structure systems. Obtaining this understanding requires a suite of computational tools capable of predicting and understanding the flow-structure interplay between the targeted complex flows and modern architected structures.
We present some a-la-carte results on these various challenges and opportunities. We discuss some key metamaterial classes promising for certain flow behaviors. We share some ongoing development of high-fidelity and resolvent computational tools within an immersed boundary framework, currently without flow-structure interplay but being designed to enable robust, versatile computations between flows and a wide range of metamaterials. Finally, for simplified flow-metamaterial configurations, we discuss efforts to synthesize appropriate dimensionless parameters, expressed in terms of key intrinsic properties of the separate flow/structure systems, that govern the FMI system's behavior.
*Andres is grateful for funding from AFOSR to perform the presented work.
Biography: Andres is an Assistant Professor at UIUC. He uses computational techniques to study flow-structure interaction, particularly when the structure has some heterogeneous properties that make the coupled behavior more complex. He is interested in developing high-fidelity and analysis techniques to simulate and understand these dynamics. He also has two young children that bring fun regular surprises, and enjoys running, cycling, squash, and bouldering.
Host: AME Department
More Info: https://ame.usc.edu/seminars/
Webcast: https://usc.zoom.us/j/96060458816?pwd=8LmoG2q6vBCQubqqWpcizd2F1bxqsH.1Location: Seaver Science Library (SSL) - 202
WebCast Link: https://usc.zoom.us/j/96060458816?pwd=8LmoG2q6vBCQubqqWpcizd2F1bxqsH.1
Audiences: Everyone Is Invited
Contact: Tessa Yao
Event Link: https://ame.usc.edu/seminars/
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Civil and Environmental Department Seminar Series
Thu, Oct 03, 2024 @ 02:00 PM - 03:00 PM
Sonny Astani Department of Civil and Environmental Engineering
Conferences, Lectures, & Seminars
Speaker: Jerome Hajjar, PhD, Northeastern University
Talk Title: Urban Engineering: New Strategies for a Resilient and Sustainable Future
Host: Dr. Burcin Becerik
More Information: Jerome F. Hajjar announcement.pdf
Location: Kaprielian Hall (KAP) - 209
Audiences: Everyone Is Invited
Contact: Salina Palacios
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Alfred E.Mann Department of Biomedical Engineering - Seminar series
Fri, Oct 04, 2024 @ 11:00 AM - 12:00 PM
Alfred E. Mann Department of Biomedical Engineering
Conferences, Lectures, & Seminars
Speaker: Sanjay Kumar, M.D, Ph.D., Chancellor Professor and Director of the California Institute for Quantitative Biosciences at UC Berkeley (QB3-Berkeley
Talk Title: Tales from the fourth dimension: Incorporating the element of time into biomaterial paradigms
Abstract: It is increasingly accepted that cell and extracellular matrix structure and mechanics can drive biology and disease, influencing everything from metabolism to stem cell differentiation to tumor progression. While significant progress has been made in developing culture technologies that mimic the complex physical microenvironment of tissue, many of these platforms are comparatively static in nature. There remains a need to understand how cell-matrix dynamics influence cell behavior. For example, how do cells remodel the carefully constructed matrices in which we place them, and how does this remodeling drive the biology we observe? And how does the time-dependent dissipation of cell-imposed stresses influence force-based signaling? While the answers are far from clear, I will describe efforts our team has made to attack these challenging problems, ranging from the use of proteomics to characterize the matrisome of invasive tumor cells ensconced within 3D matrices to to development and application of viscoelastic matrices to probe effects of stress relaxation on stem cell lineage commitment.
Biography: Sanjay Kumar, M.D., Ph.D., is Chancellor Professor and Director of the California Institute for Quantitative Biosciences at UC Berkeley (QB3-Berkeley). His primary appointment is in the Department of Bioengineering (which he chaired from 2019-22), with joint appointments in the UC Berkeley Department of Chemical and Biomolecular Engineering, the UCSF Department of Bioengineering and Therapeutic Sciences, and Lawrence Berkeley National Laboratory. Dr. Kumar earned his B.S. in Chemical Engineering at the University of Minnesota (1996) and his M.D. and Ph.D. in Molecular Biophysics from Johns Hopkins University (2003). He then completed postdoctoral training at Boston Children’s Hospital and Harvard Medical School. Dr. Kumar has co-authored >100 peer-reviewed publications and mentored >30 graduate students and postdoctoral fellows. He and his group have been recognized with the Presidential Early Career Award for Scientists and Engineers (PECASE), The NIH Director’s New Innovator Award, The Beckman Young Investigator Award, the NSF CAREER Award, and the Stem Cells Young Investigator Award. Dr. Kumar is an elected fellow of AAAS, AIMBE, and BMES, and he is a member of the BMES Board of Directors.
Host: Peter Wang
Location: Ronald Tutor Hall of Engineering (RTH) - 109
Audiences: Everyone Is Invited
Contact: Carla Stanard
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CSC/CommNetS-MHI Seminar: Laurent Lessard
Mon, Oct 07, 2024 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Laurent Lessard, Associate Professor, Mechanical and Industrial Engineering } Northeastern University
Talk Title: An automatic system to detect equivalence between iterative algorithms
Series: CSC/CommNetS-MHI Seminar Series
Abstract: Large-scale optimization problems in machine learning, signal processing, multi-agent systems, and imaging have fueled ongoing interest in iterative optimization algorithms. New optimization algorithms are regularly proposed in order to capture more complicated models, reduce computational burdens, or obtain stronger performance and convergence guarantees. But how can we be sure a recently proposed algorithm is novel? Algorithms can be written in different equivalent ways that are not always obvious, and with optimization being increasingly prevalent across different applications, popular algorithms are routinely "re-discovered". In this talk, we present a framework for reasoning about equivalence of iterative algorithms. Our framework is based on concepts from control theory and linear systems theory and can identify equivalence for a variety of algorithm classes: (a) single-oracle algorithms such as gradient-based methods, (b) multi-oracle algorithms such as distributed optimization algorithms, primal-dual methods, and operator-splitting methods, and (c) algorithms that use different but related oracles, such as subdifferentials, proximal operators, and Fenchel conjugates. Our work is a promising step towards an integrated and principled methodology for analyzing and designing control systems that use optimization algorithms "in the loop".
Biography: Laurent Lessard is an Associate Professor of Mechanical and Industrial Engineering at Northeastern University, Boston, USA, and a core faculty member of the Experiential Institute for AI. He received a B.A.Sc. in Engineering Science from the University of Toronto, and the M.S. and Ph.D. in Aeronautics and Astronautics at Stanford University. His research interests include: decentralized control, robust control, optimization, and machine learning. Before joining Northeastern, he was a Charles Ringrose Assistant Professor of Electrical and Computer Engineering at the University of Wisconsin–Madison. Prior to that, he was an LCCC Postdoc in the Department of Automatic Control at Lund University, Sweden, and a postdoctoral researcher in the Berkeley Center for Control and Identification at the University of California, Berkeley. Laurent is a recipient of the Hugo Schuck best paper award and the NSF CAREER award. He is also a Senior Member of IEEE.
Host: Dr. Lars Lindemann, llindema@usc.edu
More Information: 2024.10.07 CSC Seminar - Laurent Lessard.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - EEB 132
Audiences: Everyone Is Invited
Contact: Miki Arlen
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Epstein Institute, ISE 651 Seminar Class
Tue, Oct 08, 2024 @ 03:30 PM - 04:50 PM
Daniel J. Epstein Department of Industrial and Systems Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Zvi Galil, Professor of Computing at Georgia Tech, former Dean of Georgia Tech College of Computing, former Dean of Columbia School of Engineering and Applied Science, and former President Tel Aviv University
Talk Title: Georgia Tech's Revolutionary Online Program and the Future of Online Learning in Higher Education
Host: Dr. Randy Hall
More Information: FLYER 651 Zvi Galil 10.8.24.png
Location: TCC 450- access elevator under stairs at Student Union
Audiences: Everyone Is Invited
Contact: Casi Jones/ ISE
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Identifying Critical Scenarios for Automated Driving Safety Validation
Wed, Oct 09, 2024 @ 10:30 AM - 11:30 AM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Adam Molin, Denso
Talk Title: Identifying Critical Scenarios for Automated Driving Safety Validation
Abstract: Verification and Validation (V&V) processes play a vital role in ensuring the safety and reliability of automated driving. Scenario-based testing in simulation has emerged as an effective approach for identifying critical scenarios that challenge the capabilities of automated driving systems. This presentation aims to explore the methodology to automatically find unknown critical test cases using specification-guided scenario-based testing. The talk will discuss the limitations of current techniques and how these can be overcome by the usage of generative AI for synthesizing critical scenarios.
This lecture satisfies the requirements for CSCI 591: Research Colloquium.
Host: Prof. Jyo Deshmukh
Location: Olin Hall of Engineering (OHE) - 136
Audiences: Everyone Is Invited
Contact: Thomas Lord Department of Computer Science
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AAI-CCI-MHI Seminar on CPS
Wed, Oct 09, 2024 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Shai Revzen, Associate Professor Department of Electrical & Computer Science University of Michigan
Talk Title: More legs are different: the surprising simplicity of multi-legged locomotion
Series: EE598 Seminar Series
Abstract: Most of the animals that move with legs in the world do so with six or more legs, yet humans have focused primarily on bipeds and quadrupeds in designing legged robots. This talk will present some theoretical and experimental results that suggest that multi-legged robots with six or more legs exhibit some surprising properties that challenge our anthropocentric intuitions about locomotion. Modeling multi-legged motion fairly accurately, at single percentage points of relative error, turns out to be much easier than naively expected. This is both due to event-selected hybrid systems resolving multi-contact collisions in a smooth way, and due to the surprisingly high accuracy of geometric mechanics models on dry friction problems to which they shouldn't really apply. Together our results suggest that modeling and learning how to move with many legs might be much easier than has previously been thought.
Biography: Shai Revzen is an Associate Professor of Electrical Engineering and Computer Science in the University of Michigan's College of Engineering, and holds a courtesy faculty appointment in the Department of Ecology and Evolutionary Biology. He received his PhD in Integrative Biology doing research in the PolyPEDAL Lab at the University of California at Berkeley, and did his postdoctoral work in the GRASP Laboratory of the University of Pennsylvania. Prior to his academic work, Shai spent a decade in the tech industry, rising to Chief Architect R&D of the convergent systems division of Harmonic Lightwaves (HLIT). He is currently co-founder and Chief Science Officer of Acculine Medical, and General Manager of his consulting company, Izun, Inc. In his spare time he does martial arts and studies for a JD Law degree at Wayne State University.
Host: Feifei Qian
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Ariana Perez
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AME Seminar
Wed, Oct 09, 2024 @ 03:30 PM - 04:30 PM
Aerospace and Mechanical Engineering
Conferences, Lectures, & Seminars
Speaker: Rahul Panat, Carnegie Mellon University
Talk Title: Printed 3D Microelectronics: Process Development, Materials Science, and Devices Applications
Abstract: In this research, we develop a printed microelectronics technique based on droplet-based nanoparticle printing using the Aerosol Jet (AJ) technology. A balance between inertia forces and surface forces for the microdroplets (each containing nanoparticles), along with rapid solvent evaporation are used to create highly complex 3D microarchitectures of metals and polymers without auxiliary support and with near-fully dense truss members. Highly intricate 3-D micro-lattices, pillars, interconnects, and spirals are demonstrated. We then use these structures to: (i) study fundamental material science, and (ii) demonstrate device applications with extraordinary performance that cannot be achieved by any other method. For (i), a temperature-gradient-driven mass transport is shown as a new mechanism of 4D printing. For (ii), novel 3D geometry of electrodes enables detection of pathogen antibodies and antigens in 10-12 seconds at femtomolar sensitivities - the fastest detection of disease biomarkers yet reported! This technology is validated through human trials. In addition, the 3D microarchitectures in our lab enable fully customizable brain-computer interfaces (BCIs) that record electrical signals between neurons at densities of thousands of electrodes/cm2, which is 5-10× the current state-of-the-art BCI technologies. The technology was validated through animal testing via recording of the action potentials from the mouse brain. We also demonstrated the printing of high-capacity Li-ion batteries and thin flexible robotic skins with embedded sensors. Lastly, our ongoing work on creating manufacturing digital twins of the AJ printing process is also discussed.
Biography: Prof. Panat is Professor. He is courtesy faculty in the Materials Science and Engineering and the Robotics Institute at CMU. He is also the Associate Director of Research at the Manufacturing Futures Institute at CMU, which is focused on bringing the latest advances in digital technologies to advanced manufacturing. Prof. Panat completed his PhD in Theoretical and Applied Mechanics from the University of Illinois at Urbana in 2004. He joined Intel Corporation’s R&D unit in Chandler, AZ, where he worked for 10 years on microprocessor materials and manufacturing R&D - specifically on 3D heterogeneous integration. At Intel, Dr. Panat led a team of engineers that developed the fabrication process for world’s first halogen-free IC chip. He was part of a team that introduced the first Si chip with a billion transistors. He returned to academia in 2014 and joined CMU in fall 2017. His research is focused on microscale 3D printing and its applications to biomedical engineering, stretchable electronics, and Li-ion batteries. He has obtained > $7.5 million in research funding from US Intelligence agencies, US Air Force, US Army, ARPA-H, National Institutes of Health (NIH), Department of Energy (DOE), National Science Foundation (NSF), and industry. Prof. Panat is recipient of several awards, including MRS gold medal, Mavis Memorial Award, an award at Intel for his work on the halogen-free chip, Struminger Teaching Fellowship, and the Russell V. Trader chair professorship at CMU.
Host: AME Department
More Info: https://ame.usc.edu/seminars/
Webcast: https://usc.zoom.us/j/96060458816?pwd=8LmoG2q6vBCQubqqWpcizd2F1bxqsH.1Location: Seaver Science Library (SSL) - 202
WebCast Link: https://usc.zoom.us/j/96060458816?pwd=8LmoG2q6vBCQubqqWpcizd2F1bxqsH.1
Audiences: Everyone Is Invited
Contact: Tessa Yao
Event Link: https://ame.usc.edu/seminars/
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Six Sigma Green Belt for Process Improvement Tue, Oct 15, 2024 @ 09:00 AM - 05:00 PM
Executive Education
Conferences, Lectures, & Seminars
Speaker: IISE Faculty, IISE Faculty
Talk Title: Six Sigma Green Belt for Process Improvement
Abstract: USC Viterbi School of Engineering's Six Sigma Green Belt for Process Improvement, offered in partnership with the Institute of Industrial and Systems Engineers, allows professionals to learn how to integrate principles of business, statistics, and engineering to achieve tangible results. Master the use of Six Sigma to quantify the critical quality issues in your company. Once the issues have been quantified, statistics can be applied to provide probabilities of success and failure. Six Sigma methods increase productivity and enhance quality. As a USC Six Sigma Green Belt, you will be equipped to support and champion a Six Sigma implementation in your organization. To earn the USC Six Sigma Green Belt Certificate, you will be required to pass the Institute of Industrial and Systems Engineer's green belt exam (administered on the final day of the course).
Host: USC Viterbi Corporate and Professional Programs
Audiences: Six Sigma Green Belt Students
Contact: VASE Executive Education
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Epstein Institute, ISE 651 Seminar Class
Tue, Oct 15, 2024 @ 03:30 PM - 04:50 PM
Daniel J. Epstein Department of Industrial and Systems Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Szu Hui Ng, Associate Professor and Head of the Department of Industrial Systems Engineering and Management, University of Singapore
Talk Title: Dynamic Simulation Optimization of Chlorine Dosage in Drinking Water Distribution Systems
Host: Dr. Qiang Huang
More Information: FLYER 651 Dr. Szu Hui Ng 10.15.24.png
Location: Social Sciences Building (SOS) - B2
Audiences: Everyone Is Invited
Contact: Casi Jones/ ISE
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Modeling Human Motion Behaviors and 3D Environment from Real-World Capture
Tue, Oct 15, 2024 @ 04:00 PM - 05:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Andrew Feng , Associate Director - Geospatial Research, USC-ICT
Talk Title: Modeling Human Motion Behaviors and 3D Environment from Real-World Capture
Abstract: Synthesizing believable human motions based on input conditions is an essential task that will find many applications in gaming, simulation, and virtual reality. Various conditional inputs can be utilized to drive the motion synthesis process such as speech, music, action categories, and natural language text descriptions. Generating motions from text prompts or speech audios requires modeling of both languages and motions, which is especially challenging as the model needs to learn a cross-modal mapping to produce motion sequences. Another challenge in learning the motion synthesis model is that the cross-modal mapping may not be deterministic. For instance, there may be multiple viable gesture motions for the same speech utterance that are all plausible. The first part of this talk will cover our research in leveraging discrete latent space learning and recent generative modeling methods to address such challenges. Our proposed method models the motion segments as discrete codes and learns the underlying data distributions for these motion units. Therefore it does not suffer from the over-smoothed or damped animations caused by the deterministic mapping of the regression models in previous methods. Modeling the real world environment from multi-view images remain significant challenges in computer vision and graphics. The resulting models need to retain both accurate visual appearances and geometry to be valuable for digital twins, simulation, or scan-to-BIM applications. 3D Gaussian Splatting (3DGS) has recently advanced the field to be a viable method for novel view synthesis and real-time rendering. The second part of the talk will cover our recent research work in 3DGS for revising the training and densification strategy to improve the radiance field and geometry reconstructions.
This lecture satisfies requirements for CSCI 591: Research Colloquium.
Zoom Meeting:https://usc.zoom.us/j/92212546292?pwd=bs8DIWDPmhz1vpq7bJatWYVXxMqbd9.1
Meeting ID: 922 1254 6292 | Passcode: 960897
Biography: Andrew Feng is currently the Associate Director of Geospatial Research at USC-ICT. He leads the Terrain Research group at ICT focusing on geospatial R&D initiatives in support of the Army’s One World Terrain project. Previously, he was a research scientist working on gesture synthesis, character animation and automatic 3D avatar generation. His research work involves applying machine learning techniques to solve computer graphics problems such as 3D model reconstructions, semantic segmentations, and animation synthesis. He received his Ph.D. and M.S. degree in computer science from the University of Illinois at Urbana-Champaign.
Host: Jonathan Gratch, Research Professor
Webcast: https://usc.zoom.us/j/92212546292?pwd=bs8DIWDPmhz1vpq7bJatWYVXxMqbd9.1Location: Olin Hall of Engineering (OHE) - 100c
WebCast Link: https://usc.zoom.us/j/92212546292?pwd=bs8DIWDPmhz1vpq7bJatWYVXxMqbd9.1
Audiences: Everyone Is Invited
Contact: Thomas Lord Department of Computer Science
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Six Sigma Green Belt for Process Improvement
Wed, Oct 16, 2024 @ 09:00 AM - 05:00 PM
Executive Education
Conferences, Lectures, & Seminars
Speaker: IISE Faculty, IISE Faculty
Talk Title: Six Sigma Green Belt for Process Improvement
Abstract: USC Viterbi School of Engineering's Six Sigma Green Belt for Process Improvement, offered in partnership with the Institute of Industrial and Systems Engineers, allows professionals to learn how to integrate principles of business, statistics, and engineering to achieve tangible results. Master the use of Six Sigma to quantify the critical quality issues in your company. Once the issues have been quantified, statistics can be applied to provide probabilities of success and failure. Six Sigma methods increase productivity and enhance quality. As a USC Six Sigma Green Belt, you will be equipped to support and champion a Six Sigma implementation in your organization. To earn the USC Six Sigma Green Belt Certificate, you will be required to pass the Institute of Industrial and Systems Engineer's green belt exam (administered on the final day of the course).
Host: USC Viterbi Corporate and Professional Programs
Audiences: Six Sigma Green Belt Students
Contact: VASE Executive Education
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USC CAIS Seminar with Dr. Frederic Reamer
Wed, Oct 16, 2024 @ 02:00 PM - 03:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Dr. Frederic Reamer, Professor Emeritus, School of Social Work - Rhode Island College
Talk Title: USC CAIS Seminar with Dr. Frederic Reamer
Abstract: Artificial intelligence (AI) is becoming increasingly prevalent in the behavioral health professions. AI is being used to conduct client risk assessments; assist people in crisis; strengthen prevention efforts; document clinical services; identify systemic biases in the delivery of services; provide professional education and clinical supervision; and predict practitioner burnout and service outcomes, among other uses.
This webinar will examine cutting-edge ethical issues related to behavioral health practitioners’ use of AI; apply relevant ethical standards; and outline key elements of a strategy for practitioners’ ethical use of AI. Join Dr. Frederic Reamer as he examines ethical issues and risks related to informed consent and client autonomy; privacy and confidentiality; transparency; potential client misdiagnosis; client abandonment; client surveillance; plagiarism, dishonesty, fraud, and misrepresentation; algorithmic bias and unfairness; and use of evidence-based AI tools.
This lecture satisfies requirements for CSCI 591: Research Colloquium.
Register for Zoom webinar: https://usc.zoom.us/webinar/register/WN_DC48EaIORMy9ePEE86IGiA
Biography: Frederic G. Reamer has been on the faculty of the School of Social Work, Rhode Island College since 1983. His research and teaching have addressed a wide range of human service issues, including mental health, health care, criminal justice, public welfare, and professional ethics. Dr. Reamer received his Ph.D. (social work) from the University of Chicago. He has served as a social worker in correctional and mental health settings.
He serves as Associate Editor of the National Association of Social Workers Encyclopedia of Social Work (Oxford University Press and National Association of Social Workers). Since 2012, Dr. Reamer has served as the ethics instructor in the Providence (RI) Police Department Training Academy. Dr. Reamer has conducted extensive research on professional ethics. He has published 25 books and more than 190 journal articles, book chapters, and encyclopedia articles.
Dr. Reamer is the recipient of awards such as the NASW Mit Joyner Presidential Award, NASW Social Work Pioneer Award, and NASW Excellence in Ethics Award.
Host: CAIS
More Info: https://cais.usc.edu/events/usc-cais-seminar-with-dr-frederic-reamer/
Webcast: https://usc.zoom.us/webinar/register/WN_DC48EaIORMy9ePEE86IGiALocation: Zoom Webinar
WebCast Link: https://usc.zoom.us/webinar/register/WN_DC48EaIORMy9ePEE86IGiA
Audiences: Everyone Is Invited
Contact: Thomas Lord Department of Computer Science
Event Link: https://cais.usc.edu/events/usc-cais-seminar-with-dr-frederic-reamer/
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A.V. Balakrishnan Awards Ceremony - Dr. Earl H. Dowell
Wed, Oct 16, 2024 @ 02:00 PM - 04:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Earl H. Dowell, William Holland Hall Professor of the Pratt School of Engineering, Duke University
Talk Title: Fluid Structural Thermal Interaction (FSTI) in Hypersonic Flow
Abstract: When flowing fluids and deformable structures interact, they may become unstable (flutter) and if the system is nonlinear this may lead to limit cycle oscillations and even chaotic dynamics. Physical phenomena of interest include wind induced oscillations of long span bridges and tall buildings, internal flows in nuclear reactors and gas turbines, blood flow through arteries and airflow over human tongues. However historically and even today much of the progress is driven by aerospace applications including high performance flight vehicles be they aircraft, jet engines, launch vehicles, missiles or rotorcraft. Current interest in FSTI in hypersonic flow is high and will be the subject of this talk. Both experimental and theoretical (computational) work will be discussed.
Event Program
Reception 2:00PM - 2:30PM
Remarks 2:35PM - 3:15PM
Awardee Lecture 3:15PM - 4:00PM
Award Presentation 4:00PM - 4:15PM
Biography: Dr. Dowell is an elected member of the National Academy of Engineering, an Honorary Fellow of the American Institute of Aeronautics and Astronautics (AIAA) and a Fellow of the American Academy of Mechanics and the American Society of Mechanical Engineers. He has also served as Vice President for Publications and member of the Executive Committee of the Board of Directors of the AIAA; as a member of the United States Air Force Scientific Advisory Board; the Air Force Studies Board, the Aerospace Science and Engineering Board and the Board on Army Science and Technology of the National Academies; the AGARD (NATO) advisory panel for aerospace engineering, as President of the American Academy of Mechanics, as Chair of the US National Committee on Theoretical and Applied Mechanics and as Chairman of the National Council of Deans of Engineering. From the AIAA he has received the Structure, Structural Dynamics and Materials Award, the Von Karman Lectureship, the Crichlow Trust Prize and the Reed Aeronautics Award; from the ASME he has received the Spirit of St. Louis Medal, the Den Hartog Award, Lyapunov Medal and the Caughey Medal; and he has also received the Guggenheim Medal which is awarded jointly by the AIAA, ASME, AHS and SAE. He has served on the boards of visitors of several universities and is a consultant to government, industry and universities in science and technology policy and engineering education as well as on the topics of his research. Dr. Dowell research and teaching ranges over the topics of acoustics, aerodynamics, aeroelasticity, dynamics and structures. In addition to being author of over four hundred research articles, Dr. Dowell is the author or co-author of four books, "Aeroelasticity of Plates and Shells", "A Modern Course in Aeroelasticity", "Studies in Nonlinear Aeroelasticity" and “Dynamics of Very High Dimensional Systems”. Dr. Dowell received his B.S. degree from the University of Illinois and his S.M. and Sc.D. degrees from the Massachusetts Institute of Technology. Before coming to Duke as Dean of the School of Engineering, serving from 1983-1999, he taught at M.I.T. and Princeton. He has also worked with the Boeing Company.
Host: Dr. Petros Ioannou, ioannou@usc.edu
More Info: https://forms.gle/zUxvBSDsb1TCHdcEA
Location: Ronald Tutor Hall of Engineering (RTH) - RTH 526
Audiences: Everyone Is Invited
Contact: Miki Arlen
Event Link: https://forms.gle/zUxvBSDsb1TCHdcEA
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AME Seminar
Wed, Oct 16, 2024 @ 03:30 PM - 04:30 PM
Aerospace and Mechanical Engineering
Conferences, Lectures, & Seminars
Speaker: Ananya Balakrishna, UC Santa Barbara
Talk Title: Phase Transformations in Multifunctional Materials
Abstract: Phase transformation materials are characterized by their ability to rapidly and reversibly switch between distinct properties, such as insulating and conducting, paramagnetic and ferromagnetic, or Li-rich and Li-poor. These transformations, however, are accompanied by abrupt structural changes in the crystal lattices, which can nucleate defects, accumulate strain energy, and accelerate material decay. We investigate these transformations in multifunctional materials from the viewpoint of Ericksen’s multiple energy wells. By doing so, we identify important links between material constants, crystallographic microstructures, and macroscopic properties. This approach to understanding material behavior from the perspective of energy landscapes may suggest new ways to design materials with improved properties and lifespans. In this talk, I will present our findings on phase transformations in battery electrodes (intercalation compounds), photomechanical materials (molecular crystals), and soft magnetic alloys. Most of this work has primarily been conducted by Delin Zhang (PhD candidate at USC/AME) and Devesh Tiwari (MS from USC/AME).
Biography: Ananya Renuka Balakrishna is an Assistant Professor in the Materials Department at the University of California Santa Barbara. She received her B.Tech degree in Mechanical Engineering from the National Institute of Technology Karnataka and her Ph.D. in Solid Mechanics and Materials Engineering from the University of Oxford. Before her current appointment, she was a Lindemann Postdoctoral Fellow at MIT and the University of Minnesota and joined the faculty in the Department of Aerospace & Mechanical Engineering at the University of Southern California in 2020. Her research group develops theoretical models to understand the interplay between fundamental material constants and microstructural instabilities, and how they collectively shape the physical response of a material.
Host: AME Department
More Info: https://ame.usc.edu/seminars/
Webcast: https://usc.zoom.us/j/96060458816?pwd=8LmoG2q6vBCQubqqWpcizd2F1bxqsH.1Location: Seaver Science Library (SSL) - 202
WebCast Link: https://usc.zoom.us/j/96060458816?pwd=8LmoG2q6vBCQubqqWpcizd2F1bxqsH.1
Audiences: Everyone Is Invited
Contact: Tessa Yao
Event Link: https://ame.usc.edu/seminars/
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ARC Prize @ USC | A $1M+ Competition Towards Open AGI Progress
Wed, Oct 16, 2024 @ 05:00 PM - 06:30 PM
USC Viterbi School of Engineering
Conferences, Lectures, & Seminars
Come and explore frontier AGI research that challenges current industry benchmarks and beliefs.
ARC Prize challenges participants to beat ARC-AGI, the only benchmark that measures AI's ability to generalize (not memorize)
Forever the great dream of the field of AI, AGI that can invent and discover alongside us would bring unimaginable benefits to humanity, yet we're no closer to true general intelligence than we were in 2017.
No amount of scale will allow transformers alone to efficiently learn new skills the way humans do. Memorization is insufficient to reach general intelligence.
The benchmark is solvable by humans, but hard for AI.
You can try a task here (play section)
Together, we'll dive deep into technical approaches designed to defeat ARC-AGI - the only AI benchmark that measures our progress toward AGI - and the past, present, and future of ARC Prize - a $1M competition toward open AGI progress.
Speakers
Join the co-founders of ARC Prize live.
Mike Knoop co-founded Zapier, where he led all product and engineering before shifting focus to AI R&D in the summer of 2022. At Zapier, he launched numerous popular products, as well as leading Zapier's OpenAI partnership. Mike is a builder with a background in engineering, math, research, and programming and is passionate about frontier and open source AGI research.
François Chollet (appearing virtually) is the creator of Keras, a popular Python deep learning library, and ARC-AGI. He is an engineer at Google and researcher in artificial intelligence. François has been awarded the Global Swiss AI award for breakthroughs in AI and is the author of "Deep Learning with Python" and the notable paper"On the Measure of Intelligence".
In partnership with the USC Viterbi Office of Student Engagement and Leadership Development and the Viterbi Graduate Student Association, the team behind ARC Prize is coming to you.
See you soon.
Location: Private Location (register to display)
Audiences:
Contact: Viterbi Student Services
Event Link: https://engage.usc.edu/viterbi/rsvp?id=399980
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Computational Science Distinguished Seminar Series
Thu, Oct 17, 2024 @ 09:00 AM - 10:30 AM
USC School of Advanced Computing
Conferences, Lectures, & Seminars
Speaker: Jessica Zhang, Carnegie Mellon University
Talk Title: From neurological disorders to additive manufacturing: integrating isogeometric analysis with deep learning and digital twins
Abstract: Coupling physics-based simulation and data-driven modeling have demonstrated great power in predicting complex systems. This talk focuses on integrating an advanced finite element method called isogeometric analysis (IGA) with deep learning and digital twins to address challenging problems in investigating neurological disorders and additive manufacturing (AM). To investigate neurodevelopmental disorders, we introduce a novel phase field model coupled with tubulin and synaptogenesis concentration to simulate intricate neurite outgrowth and disorders using IGA, dynamic domain expansion and local refinement. By integrating IGA and convolutional neural networks, we conduct thorough investigations into the functional role of various parameters affecting the neurodevelopmental disorder with comparison to experimental results. To investigate intracellular transport induced neurodegenerative disorders, we develop a PDE-constrained optimization model to simulate traffic jams induced by microtubule reduction and swirl. We also build a novel IGA-based physics-informed graph neural network to quickly predict normal and abnormal transport phenomena in complex neuron geometries.
In the second half of the talk, I will present our latest research on generative manufacturing or combining AI with IGA for AM applications. It includes a machine learning framework for inverse design and manufacturing of self-assembling fiber-reinforced composites in 4D printing, IGA-based topology optimization for AM of heat exchangers, as well as data-driven residual deformation prediction to enhance metal component printability and lattice support structure design in the laser powder bed fusion (LPBF) AM process. By speeding up geometry distortion predictions from several hours to mere seconds with uncertainty quantification, our model can be deployed to prevent generation of infeasible designs. Our on-going efforts also include developing digital twins to enable prediction and control of process parameters in LPBF manufacturing, where reduced order modeling is one key technique to efficiently simulate underlying physics.
Biography: Jessica Zhang is the George Tallman Ladd and Florence Barrett Ladd Professor of Mechanical Engineering at Carnegie Mellon University with a courtesy appointment in Biomedical Engineering. She received her B.Eng. in Automotive Engineering, and M.Eng. in Engineering Mechanics from Tsinghua University, China; and M.Eng. in Aerospace Engineering and Engineering Mechanics and Ph.D. in Computational Engineering and Sciences from Institute for Computational Engineering and Sciences (now Oden Institute), The University of Texas at Austin. Her research interests include computational geometry, isogeometric analysis, finite element method, data-driven simulation, image processing, and their applications in computational biomedicine and engineering. Zhang has co-authored over 230 publications in peer-reviewed journals and conference proceedings and received several Best Paper Awards. She published a book entitled “Geometric Modeling and Mesh Generation from Scanned Images” with CRC Press, Taylor & Francis Group. Zhang is the recipient of Simons Visiting Professorship from Mathematisches Forschungsinstitut Oberwolfach of Germany, US Presidential Early Career Award for Scientists and Engineers, NSF CAREER Award, Office of Naval Research Young Investigator Award, and USACM Gallagher Young Investigator Award. At CMU, she received David P. Casasent Outstanding Research Award, George Tallman Ladd and Florence Barrett Ladd Professorship, Clarence H. Adamson Career Faculty Fellow in Mechanical Engineering, Donald
L. & Rhonda Struminger Faculty Fellow, and George Tallman Ladd Research Award. She is a Fellow of ASME, SIAM, IACM, USACM, IAMBE, AIMBE, SMA, and ELATES at Drexel. She is the Editor-in-Chief of Engineering with Computers.
Host: The School of Advanced Computing
More Info: https://sac.usc.edu/events/
Location: Ronald Tutor Hall of Engineering (RTH) - 526
Audiences: Everyone Is Invited
Contact: Tessa Yao
Event Link: https://sac.usc.edu/events/
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Six Sigma Green Belt for Process Improvement
Thu, Oct 17, 2024 @ 09:00 AM - 05:00 PM
Executive Education
Conferences, Lectures, & Seminars
Speaker: IISE Faculty, IISE Faculty
Talk Title: Six Sigma Green Belt for Process Improvement
Abstract: USC Viterbi School of Engineering's Six Sigma Green Belt for Process Improvement, offered in partnership with the Institute of Industrial and Systems Engineers, allows professionals to learn how to integrate principles of business, statistics, and engineering to achieve tangible results. Master the use of Six Sigma to quantify the critical quality issues in your company. Once the issues have been quantified, statistics can be applied to provide probabilities of success and failure. Six Sigma methods increase productivity and enhance quality. As a USC Six Sigma Green Belt, you will be equipped to support and champion a Six Sigma implementation in your organization. To earn the USC Six Sigma Green Belt Certificate, you will be required to pass the Institute of Industrial and Systems Engineer's green belt exam (administered on the final day of the course).
Host: USC Viterbi Corporate and Professional Programs
Audiences: Six Sigma Green Belt Students
Contact: VASE Executive Education
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Alfred E.Mann Department of Biomedical Engineering - Seminar series
Fri, Oct 18, 2024 @ 11:00 AM - 12:00 PM
Alfred E. Mann Department of Biomedical Engineering
Conferences, Lectures, & Seminars
Speaker: David Issadore, Ph.D., Professor of UPenn
Talk Title: Diagnosing disease on a microchip: Finding nanoscale needles in messy nanoscale haystacks
Abstract: The transformative growth in microelectronics in the latter half of the 20th century was fueled fundamentally by the ability to miniaturize complex circuits onto chips. The impact of this has been profound– computing is pervasive and portable and communication is instant and global. My research aims to harness this same engineering approach to solve high impact problems in medical diagnostics. To accomplish this goal my lab develops hybrid microchips, where microfluidics are built directly on top of semiconductor chips. In this talk I will focus on recent work at Penn on 'digital asays.' Digital assays — in which ultra-sensitive molecular measurements are made by performing millions of parallel experiments in picoliter droplets — have generated enormous enthusiasm due to their single molecule resolution. These assays have incredible untapped potential for disease diagnostics but are currently confined to laboratory settings due to the instrumentation necessary to generate, control, and measure tens of millions of droplets. To overcome this challenge, we are developing a hybrid microelectronic / microfluidic chip to ‘unlock’ droplet-based assays for mobile use. Our microDroplet Megascale Detector (µMD) takes inspiration from cellular networks, in which phones are identified by their carrier frequency and not their particular location. In collaboration with physicians at The Abramson Cancer Center, we are demonstrating the power of this approach by developing a multiplexed extracellular vesicle-based diagnostic for the early detection of pancreatic cancer. I will also discuss ongoing projects on the early diagnosis of lung cancer, treatment guidance for traumatic brain injury, and the differential diagnosis of Alzheimer's versus Lewy body dementia.
Biography: The Issadore lab combines microelectronics, microfluidics, nanomaterials, and machine learning to solve big problems in healthcare. We create miniaturized platforms for the diagnosis of disease, we develop new platforms to manufacture micro and nanomaterials, and we dip our toes into an assortment of other areas where we can leverage our engineering training to improve healthcare. This work requires an interdisciplinary approach in which engineers, scientists, and physicians work together in teams. David received his PhD in applied physics from Harvard and his BS in both electrical engineering and physics from Penn State. Before coming to Penn, where he is now a Professor of Bioengineering, he was a postdoctoral fellow at MGH's Department of Systems Biology.
Host: Maral Mousavi
Location: Ronald Tutor Hall of Engineering (RTH) - 109
Audiences: Everyone Is Invited
Contact: Carla Stanard
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AI Seminar- Why Are Human Laws So Difficult For AI to Follow?
Fri, Oct 18, 2024 @ 11:00 AM - 12:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: John Licato, University of South Florida
Talk Title: Why Are Human Laws So Difficult For AI to Follow?
Abstract: Join Zoom Meeting: https://usc.zoom.us/j/96076927864?pwd=tOuC1grLlyiRgcwicpm9e7XziHgE0R.1 Meeting ID: 960 7692 7864 Passcode: 810249 Register in advance for this webinar: https://usc.zoom.us/webinar/register/WN_ANEShGxrSfeTwa5sFZsRag Although it is now incredibly easy to create and deploy a chatbot for almost any application, powered by highly capable LLMs, even the best systems still tend to perform poorly when they need to interpret and reason about rules---specifically, rules expressed in the kind of language found in laws, contracts, regulations, and the like. Why does this problem still exist, and how can it be overcome? Dr. Licato argues that the problem is rooted in a feature (not a bug) of human languages called open-texturedness. And this open-texturedness, because it is an inevitable feature of normative rule systems, must be addressed by any agent-level AI system, especially if we want it to be able to follow our laws.
Biography: John Licato, PhD is an Associate Professor of Computer Science and Engineering at USF, Director of the USF Advancing Machine and Human Reasoning (AMHR) Lab, and founder of AI startup Actualization AI, LLC. He designed and teaches the natural language processing course (the field that created ChatGPT) at USF, and his lab's mission is to not only make AI smarter, but to use those advances to make people reason better as well. His research expertise lies in AI, NLP, human reasoning, cognitive modeling, and legal / regulatory reasoning, with over 100 peer-reviewed publications. He has been featured in outlets such as NPR's Marketplace Tech, ABC Action News, and the Tampa Bay Business Journal. If speaker approves to be recorded for this AI Seminar talk, it will be posted on our USC/ISI YouTube page within 1-2 business days: https://www.youtube.com/user/USCISI.
Host: Abel Salinas and Pete Zamar
More Info: https://www.isi.edu/events/5149/why-are-human-laws-so-difficult-for-ai-to-follow/
Webcast: https://usc.zoom.us/j/96076927864?pwd=tOuC1grLlyiRgcwicpm9e7XziHgE0R.1Location: Information Science Institute (ISI) - Virtual Only
WebCast Link: https://usc.zoom.us/j/96076927864?pwd=tOuC1grLlyiRgcwicpm9e7XziHgE0R.1
Audiences: Everyone Is Invited
Contact: Pete Zamar
Event Link: https://www.isi.edu/events/5149/why-are-human-laws-so-difficult-for-ai-to-follow/
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Computational Science Distinguished Seminar Series
Tue, Oct 22, 2024 @ 09:00 AM - 10:30 AM
USC School of Advanced Computing
Conferences, Lectures, & Seminars
Speaker: Vikram Gavini, University of Michigan
Talk Title: Large-scale electronic structure calculations of extended defects in materials
Abstract: Defects play a crucial role in influencing the macroscopic properties of solids—examples include the role of dislocations in plastic deformation, dopants in semiconductor properties, and domain walls in ferroelectric properties. These defects are present in very small concentrations (few parts per million), yet, produce a significant macroscopic effect on the materials behavior through the long-ranged elastic and electrostatic fields they generate. Notably, the strength and nature of these fields, as well as other critical aspects of the defect-core are all determined by the electronic structure of the material at the quantum-mechanical length-scale. However, carefully converged electronic structure studies on extended defects, such as dislocations, have been out of reach due to the cell-size and periodicity limitations of the widely used electronic structure codes.
This talk will discuss the recent developments that have enabled large-scale density functional theory (DFT) calculations, paving the way for electronic structure studies of defects. The first part of the talk will discuss the development of computational methods and numerical algorithms for conducting fast and accurate large-scale DFT calculations using adaptive finite-element discretization, which form the basis for the recently released DFT-FE open-source code. The second part of the talk will focus on electronic structure studies of dislocations using the developed methods and the insights obtained into fundamental questions such as: What is the core size of a dislocation? Are forces on dislocations solely from elastic interactions? Recent studies on using DFT-FE to understand the energetics of <c+a> dislocations in Mg, and the energetics and nucleation kinetics of quasicrystals (ScZn7.33) will be discussed
Biography: Vikram Gavini is Professor of Mechanical Engineering and Materials Science & Engineering at the University of Michigan. He received his Ph.D. from California Institute of Technology in 2007. His interests are in developing methods for large-scale and quantum-accurate electronic structure calculations, numerical analysis of PDEs and scientific computing. DFT-FE, a massively parallel open-source code for large-scale real-space DFT calculations, has been developed in his group. He is the recipient of NSF CAREER Award in 2011, AFOSR Young Investigator Award in 2013, Humboldt Research Fellowship for Experienced Researchers (2012-14), USACM Gallagher Award in 2015, among others. He led the team that received the 2023 ACM Gordon Bell Prize in high performance computing.
Host: The School of Advanced Computing
More Info: https://sac.usc.edu/events/
Location: Ronald Tutor Hall of Engineering (RTH) - 526
Audiences: Everyone Is Invited
Contact: Tessa Yao
Event Link: https://sac.usc.edu/events/
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Generative Models and the Transport of Measure
Tue, Oct 22, 2024 @ 11:00 AM - 12:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Gavin Kerrigan, PhD Candidate - Department of Computer Science, UC Irvine
Talk Title: Generative Models and the Transport of Measure
Abstract: A key theme in contemporary generative modeling is the continuous transport of measure, in which a simple reference distribution is gradually transformed into the data distribution. Many recent models, including diffusions and flows, can be viewed through this unifying lens. In this talk, we will first explore some geometric tools for studying dynamics in the space of probability measures. We will then leverage these tools to design generative models, with a focus on applications to inverse problems and complex data structures such as function-valued data.
This lecture satisfies requirements for CSCI 591: Research Colloquium.
In-person ONLY; recording available post-presentation.
Biography: Gavin Kerrigan is a final year PhD candidate in the Department of Computer Science at UC Irvine, where he is advised by Padhraic Smyth. Prior to joining UCI, he obtained a BSc in mathematics from the Schreyer Honors College at Penn State University. His research focuses on advancing the theory and practice of deep generative models, ranging from fundamental methodology to applications in climate science. His work has been recognized through a best paper award at AISTATS'23 for contributions to function-space generative modeling.
Host: USC Machine Learning Center
Location: Ronald Tutor Hall of Engineering (RTH) - 211
Audiences: Everyone Is Invited
Contact: Thomas Lord Department of Computer Science
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Startup Stories- Alex Lee
Tue, Oct 22, 2024 @ 12:00 PM - 01:00 PM
Viterbi Technology Innovation and Entrepreneurship
Conferences, Lectures, & Seminars
Every startup has a story. Uncover the blueprint of success in the words of our very own Viterbi Alumni, Alex LEE and hear about resources available to you start a business while at USC.
Alex Lee, USC Viterbi School of Engineering alumnus, is the Co-founder and CEO of Truewind, an AI-powered accounting software startup. Launched in 2023, Truewind has raised $3 million in seed funding and aims to be the virtual CFO for startups by streamlining financial data with AI.Come and hear Alexâs story!Location: Sign into EngageSC to View Location
Audiences: Everyone Is Invited
Contact: Johannah Murray
Event Link: https://engage.usc.edu/Viterbitie/rsvp?id=397845
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The Algorithmic Abyss: Exploring Autonomy without Robotic Horror
Tue, Oct 22, 2024 @ 02:00 PM - 03:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Dr. Juan Wachs , Professor & University Faculty Scholar, Industrial Engineering School - Purdue University
Talk Title: The Algorithmic Abyss: Exploring Autonomy without Robotic Horror
Abstract: Robots can already solve sophisticated problems ranging from playing games, autonomous driving, and dancing—given enough observational data for training. The core of such success resides in efficient algorithms, compliant hardware and robust computing, all implemented using carefully curated data collected before the training phase. Thus, robots learn in a “sterile” domain, under clean, controlled and to some extent supervised environments. As the target domain changes, however, moving to more quotidian scenarios, robots struggle to perform well. It is hard to think of an autonomous car trained in Silicon Valley being able to successfully navigate the crowded streets of New Delhi. – this is the “algorithm abyss”. Ideally, we would like to robots adapt to challenging settings while immersed in mundane settings, and learn from few observations. To address this hurdle, my work in the area of robotics and autonomous systems focuses on transferring skills and knowledge from controlled settings to the wild. In this talk, I emphasize strategies and techniques to address fundamental challenges in emergent, high-risk, high-stakes scenarios. Specifically, I will discuss work related to telesurgery, skill augmentation and bioinspired designs. While healthcare is one of the research domains discussed, the outcomes and findings are applicable to the range field of autonomous robotics. Progress in these directions will contribute to the public purpose of creating the knowledge for developing robots that are more accessible, effective and sensitive to social needs.
This lecture satisfies requirements for CSCI 591: Research Colloquium.
Biography: Dr. Juan Wachs is a Professor and University Faculty Scholar in the Industrial Engineering School at Purdue University, Professor of Biomedical Engineering (by courtesy), an Adjunct Associate Professor of Surgery at IU School of Medicine, and Adjunct Professor at Johns Hopkins University. He recently served at NSF as a Program Director for Robotics and AI programs at CISE. He is also the director of the Intelligent Systems and Assistive Technologies (ISAT) Lab at Purdue, and he is affiliated with the Regenstrief Center for Healthcare Engineering. He completed postdoctoral training at the Naval Postgraduate School’s MOVES Institute under a National Research Council Fellowship from the National Academies of Sciences. Dr. Wachs received his B.Ed.Tech in Electrical Education in ORT Academic College, at the Hebrew University of Jerusalem campus. His M.Sc and Ph.D in Industrial Engineering and Management from the Ben-Gurion University of the Negev, Israel. He is the recipient of the 2013 Air Force Young Investigator Award, and the 2015 Helmsley Senior Scientist Fellow, and 2016 Fulbright U.S. Scholar, the James A. and Sharon M. Tompkins Rising Star Associate Professor, 2017, and the ACM Distinguished Speaker 2018. Since 2020 he has been elected University Faculty Scholar. He is also the Associate Editor of IEEE Transactions in Human-Machine Systems, Frontiers in Robotics and AI.
Host: Prof. Stefanos Nikolaidis
Audiences: Everyone Is Invited
Contact: Thomas Lord Department of Computer Science
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The Algorithmic Abyss: Exploring Autonomy without Robotic Horror
Tue, Oct 22, 2024 @ 02:00 PM - 03:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Dr. Juan Wachs , Professor & University Faculty Scholar, Industrial Engineering School - Purdue University
Talk Title: The Algorithmic Abyss: Exploring Autonomy without Robotic Horror
Abstract: Robots can already solve sophisticated problems ranging from playing games, autonomous driving, and dancing—given enough observational data for training. The core of such success resides in efficient algorithms, compliant hardware and robust computing, all implemented using carefully curated data collected before the training phase. Thus, robots learn in a “sterile” domain, under clean, controlled and to some extent supervised environments. As the target domain changes, however, moving to more quotidian scenarios, robots struggle to perform well. It is hard to think of an autonomous car trained in Silicon Valley being able to successfully navigate the crowded streets of New Delhi. – this is the “algorithm abyss”. Ideally, we would like to robots adapt to challenging settings while immersed in mundane settings, and learn from few observations. To address this hurdle, my work in the area of robotics and autonomous systems focuses on transferring skills and knowledge from controlled settings to the wild. In this talk, I emphasize strategies and techniques to address fundamental challenges in emergent, high-risk, high-stakes scenarios. Specifically, I will discuss work related to telesurgery, skill augmentation and bioinspired designs. While healthcare is one of the research domains discussed, the outcomes and findings are applicable to the range field of autonomous robotics. Progress in these directions will contribute to the public purpose of creating the knowledge for developing robots that are more accessible, effective and sensitive to social needs.
This lecture satisfies requirements for CSCI 591: Research Colloquium.
Biography: Dr. Juan Wachs is a Professor and University Faculty Scholar in the Industrial Engineering School at Purdue University, Professor of Biomedical Engineering (by courtesy), an Adjunct Associate Professor of Surgery at IU School of Medicine, and Adjunct Professor at Johns Hopkins University. He recently served at NSF as a Program Director for Robotics and AI programs at CISE. He is also the director of the Intelligent Systems and Assistive Technologies (ISAT) Lab at Purdue, and he is affiliated with the Regenstrief Center for Healthcare Engineering. He completed postdoctoral training at the Naval Postgraduate School’s MOVES Institute under a National Research Council Fellowship from the National Academies of Sciences. Dr. Wachs received his B.Ed.Tech in Electrical Education in ORT Academic College, at the Hebrew University of Jerusalem campus. His M.Sc and Ph.D in Industrial Engineering and Management from the Ben-Gurion University of the Negev, Israel. He is the recipient of the 2013 Air Force Young Investigator Award, and the 2015 Helmsley Senior Scientist Fellow, and 2016 Fulbright U.S. Scholar, the James A. and Sharon M. Tompkins Rising Star Associate Professor, 2017, and the ACM Distinguished Speaker 2018. Since 2020 he has been elected University Faculty Scholar. He is also the Associate Editor of IEEE Transactions in Human-Machine Systems, Frontiers in Robotics and AI.
Host: Prof. Stefanos Nikolaidis
Location: Ronald Tutor Hall of Engineering (RTH) - 217
Audiences: Everyone Is Invited
Contact: Thomas Lord Department of Computer Science
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**No Epstein Institute, ISE 651 Seminar Class - Due to INFORMS**
Tue, Oct 22, 2024 @ 03:30 PM - 04:50 PM
Daniel J. Epstein Department of Industrial and Systems Engineering
Conferences, Lectures, & Seminars
Speaker: NO CLASS- INFORMS, NO CLASS- INFORMS
Talk Title: NO CLASS-INFORMS
Host: NO CLASS- INFORMS
Location: Social Sciences Building (SOS) - B2
Audiences: Everyone Is Invited
Contact: Casi Jones/ ISE
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AME Seminar
Wed, Oct 23, 2024 @ 03:30 PM - 04:30 PM
Aerospace and Mechanical Engineering
Conferences, Lectures, & Seminars
Speaker: Jian Cao, Northwestern
Talk Title: TBD
Location: Seaver Science Library (SSL) - 202
Audiences: Everyone Is Invited
Contact: Tessa Yao
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NL Seminar-Title TBA
Thu, Oct 24, 2024 @ 11:00 AM - 12:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Julie Kallini, Stanford University
Talk Title: TBA
Abstract: REMINDER: Meeting hosts only admit on-line guests that they know to the Zoom meeting. Hence, you’re highly encouraged to use your USC account to sign into Zoom. If you’re an outside visitor, please inform us at (nlg-seminar-host(at)isi.edu) to make us aware of your attendance so we can admit you. Specify if you will attend remotely or in person at least one business day prior to the event Provide your: full name, job title and professional affiliation and arrive at least 10 minutes before the seminar begins. If you do not have access to the 6th Floor for in-person attendance, please check in at the 10th floor main reception desk to register as a visitor and someone will escort you to the conference room location. ZOOM INFO: ADD Meeting ID: TBA#/ Passcode: TBA#
Biography: TBA
Host: Jonathan May and Katy Felkner
More Info: https://www.isi.edu/research-groups-nlg/nlg-seminars/
Location: Information Science Institute (ISI) - Conf Rm#689
Audiences: Everyone Is Invited
Contact: Pete Zamar
Event Link: https://www.isi.edu/research-groups-nlg/nlg-seminars/
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AME Special Seminar
Mon, Oct 28, 2024 @ 03:30 PM - 04:30 PM
Aerospace and Mechanical Engineering
Conferences, Lectures, & Seminars
Speaker: Petia Vlahovska, Northwestern University
Talk Title: TBD
Abstract: TBD
Host: AME Department
Location: Olin Hall of Engineering (OHE) - 406
Audiences: Everyone Is Invited
Contact: Tessa Yao
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Epstein Institute, ISE 651 Seminar Class
Tue, Oct 29, 2024 @ 03:30 PM - 04:50 PM
Daniel J. Epstein Department of Industrial and Systems Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Yunhe Hou, Department of Electrical & Electronic Engineering, University of Hong Kong
Talk Title: Building Sustainable and Resilient Energy Systems: Challenges and Current Progress
Host: Dr. Jong-Shi Pang
More Information: Flyer 651 Dr. Yunhe Hou 10.29.24.png
Location: Social Sciences Building (SOS) - B2
Audiences: Everyone Is Invited
Contact: Casi Jones/ ISE
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Language Models as Temporary Training Wheels to Improve Mental Health
Wed, Oct 30, 2024 @ 02:00 PM - 03:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Dr. Tim Althoff, Assistant Professor, Allen School of Computer Science - University of Washington
Talk Title: Language Models as Temporary Training Wheels to Improve Mental Health
Abstract: Access to mental health care falls short of meeting the significant need. More than one billion individuals are affected by mental health conditions, with the majority not receiving the necessary treatment. In this talk, I will describe how human-AI collaboration, critically enabled by language models, can improve access to and quality of mental health support. Language models have the potential to act as temporary training wheels providing immediate support and guidance to help individuals develop essential mental health skills. This approach emphasizes the importance of using these tools as initial aids rather than long-term crutches. By offering structured assistance, practice, and feedback, language models can help individuals and professionals learn skills, such as cognitive reframing, emotional regulation, and conflict resolution. However, the ultimate goal is for individuals to gradually transition away from dependence on these models, fostering sustained skill development and long-term well-being. This talk will describe how language models can be developed towards these aims and evaluate their effectiveness across multiple randomized trials and real-world deployments with over 150,000 participants.
Learn to challenge unhelpful thinking with your personal AI assistant at https://bit.ly/changing-thoughts
This lecture satisfies requirements for CSCI 591: Research Colloquium.
Register for Zoom webinar here: https://usc.zoom.us/webinar/register/WN_IFvScow2St2noJndL8FucA
Biography: Tim Althoff is an associate professor in the Allen School of Computer Science & Engineering at the University of Washington. Tim’s research seeks to better understand and empower people through data and computation. His AI research has directly improved mental health services utilized by over ten million people and informed federal policy. Tim holds a Ph.D. degree from the Computer Science Department at Stanford University. His work has received various awards including WWW, 2x ICWSM, ACL, UbiComp, and IMIA Best Paper Awards, the SIGKDD Dissertation Award 2019, and an NSF CAREER Award. Tim’s research has been covered internationally by news outlets including BBC, CNN, The Economist, The Wall Street Journal, and The New York Times.
Host: CAIS
More Info: https://cais.usc.edu/events/usc-cais-seminar-with-dr-tim-althoff/
Webcast: https://usc.zoom.us/webinar/register/WN_IFvScow2St2noJndL8FucALocation: Zoom Webinar
WebCast Link: https://usc.zoom.us/webinar/register/WN_IFvScow2St2noJndL8FucA
Audiences: Everyone Is Invited
Contact: Hailey Winetrobe Nadel, MPH, CHES
Event Link: https://cais.usc.edu/events/usc-cais-seminar-with-dr-tim-althoff/
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AME Seminar
Wed, Oct 30, 2024 @ 03:30 PM - 04:30 PM
Aerospace and Mechanical Engineering
Conferences, Lectures, & Seminars
Speaker: Luis Sentis, The University of Texas at Austin
Talk Title: TBD
Abstract: TBD
Host: AME Department
Location: Seaver Science Library (SSL) - 202
Audiences: Everyone Is Invited
Contact: Tessa Yao
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NL Seminar-Title TBA
Thu, Oct 31, 2024 @ 11:00 AM - 12:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Ziyi Liu, USC
Talk Title: TBA
Series: NL Seminar
Abstract: REMINDER: Meeting hosts only admit on-line guests that they know to the Zoom meeting. Hence, you’re highly encouraged to use your USC account to sign into Zoom. If you’re an outside visitor, please inform us at (nlg-seminar-host(at)isi.edu) to make us aware of your attendance so we can admit you. Specify if you will attend remotely or in person at least one business day prior to the event Provide your: full name, job title and professional affiliation and arrive at least 10 minutes before the seminar begins. If you do not have access to the 6th Floor for in-person attendance, please check in at the 10th floor main reception desk to register as a visitor and someone will escort you to the conference room location. ZOOM INFO: ADD Meeting ID: TBA#/ Passcode: TBA#
Biography: TBA
Host: Jonathan May and Katy Felkner
More Info: https://www.isi.edu/research-groups-nlg/nlg-seminars/
Location: Information Science Institute (ISI) - Conf Rm#689
Audiences: Everyone Is Invited
Contact: Pete Zamar
Event Link: https://www.isi.edu/research-groups-nlg/nlg-seminars/
