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Conferences, Lectures, & Seminars
Events for April

  • ECE-EP Seminar - Alex Abramson, Thursday, April 1st @ 2:30pm via Zoom

    Thu, Apr 01, 2021 @ 02:30 PM - 04:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Alex Abramson, Chemical Engineering Department, Stanford University

    Talk Title: Tissue Interfacing Robotic Therapeutics

    Abstract: Medical devices that conform to and interact with the body hold profound implications in medicine, supporting a new generation of personalized and automated therapies with higher patient compliance and faster diagnostic feedback. In this talk, we will explore a series of ingestible and wearable technologies that physically interact with targeted tissues through programmable geometric and material transformations to enable previously unachievable therapeutic and sensing capabilities. Specifically, we will review the development of novel technologies enabling the oral delivery of macromolecule drugs such as insulin, as well as technologies enabling the rapid assessment of cancer therapeutics through real-time tumor monitoring.

    Biography: Dr. Alex Abramson is an NIH F32 Postdoctoral fellow in Chemical Engineering at Stanford University working with Profs. Zhenan Bao, Joseph Desimone, and the late Sanjiv Sam Gambhir. He received his B.S. in Chemical and Biomolecular Engineering from Johns Hopkins University and his Ph.D. in Chemical Engineering from MIT under the direction of Profs. Robert Langer and Giovanni Traverso. His research, which focuses on oral biologic drug delivery and bioelectronic therapeutics, has been featured in news outlets such as The New York Times, NPR, and Wired, and he has worked closely with Novo Nordisk to develop clinical translation strategies for some of his inventions. Dr. Abramson is also involved in the public health sector and has performed research on quantifying the quality-of-life impact that novel biomedical technologies have on patients worldwide. In his spare time, Dr. Abramson volunteers as a STEM tutor at a local middle school, mentors start-up ventures in the biotechnology space, plays golf, and hikes. For more information about Dr. Abramson, please visit his website: www.agabramson.com.

    Host: ECE-Electrophysics

    More Info: https://usc.zoom.us/j/93176796114?pwd=MmVNdlRLQUs3bS9VSVNWOU5qUEhwQT09

    More Information: Alex Abramson Flyer.pdf

    Audiences: Everyone Is Invited

    Posted By: Marilyn Poplawski

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  • Advanced Manufacturing Seminar

    Fri, Apr 02, 2021 @ 10:00 AM - 11:30 AM

    Aerospace and Mechanical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Placid M. Ferreira, University of Illinois at Urbana-Champaign

    Talk Title: Solid Ionics-Based Nanomanufacturing

    Abstract: Mechanics and transport at the micro- and nanoscale offer a rich set of controllable phenomena that can be exploited for the development of manufacturing processes, compatible with these scales. Here, we exploit ionic transport in solids as the basis of highly controllable, efficient, high-resolution, high throughput nanomanufacturing processes for producing metallic (specifically silver and copper) nanostructures. This talk will focus on the exploitation of the high room-temperature ionic conductivity of silver and copper-based superionic glasses as the basis of subtractive and additive nano-manufacturing processes such as superionic imprinting/stamping, roll patterning and direct writing. Taking a traditional manufacturing perspective, the talk will discuss tooling and tool materials; process characterization and rates; and tool wear with such processes. Applications and future directions for solid ionics-based nanomanufacturing processes will also be discussed.



    Biography: Dr. Placid M. Ferreira is the Tungchao Julia Lu Professor of Mechanical Science and Engineering at Illinois. From 2003 to 2009, he was the director of the Center for Chemical-Electrical-Mechanical Manufacturing Systems (Nano-CEMMS), an NSF-sponsored Nanoscale Science and Engineering Center after which he served as the Head of the Department of Mechanical Science and Engineering at Illinois until August 2015. He graduated with a PhD in Industrial Engineering from Purdue University in 1987, M.Tech (Mechanical) from IIT Bombay, 1982 and B.E. (Mechanical) for University of Bombay in 1980. He has been on the mechanical engineering faculty at Illinois since 1987, serving as the associate head for graduate programs and research from 1999 to 2002. Professor Ferreira's research and teaching interests are in precision manufacturing and includes computer-controlled machines, nano-manufacturing and metrology. Professor Ferreira received NSF's Presidential Young Investigator Award in 1990, SME's Outstanding Young Investigator Award in 1991, University of Illinois' University Scholar Award in 1994, the ASME Ennor Award for Manufacturing Technology in 2014. He is also a Fellow of ASME, SME and AAAS. He has served on the editorial board of a number of manufacturing-related journals.

    Host: Center for Advanced Manufacturing

    More Info: Please register for this webinar at: https://usc.zoom.us/webinar/register/WN_T8lmZM0nQhC8VeooLUjTaA

    Webcast: Please register for this webinar at: https://usc.zoom.us/webinar/register/WN_T8lmZM0nQhC8VeooLUjTaA

    More Information: Adv Mfg Seminar S21_Placid Ferreira.pdf

    WebCast Link: Please register for this webinar at: https://usc.zoom.us/webinar/register/WN_T8lmZM0nQhC8VeooLUjTaA

    Audiences: Everyone Is Invited

    Posted By: Tessa Yao

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  • ECE-EP Seminar - Yasser Khan, Monday, April 5th at 9am via Zoom

    Mon, Apr 05, 2021 @ 09:00 AM - 10:30 AM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Yasser Khan, Stanford University

    Talk Title: Skin-like, scalable, and accessible wearables for mental health

    Abstract: Worldwide, 615 million people suffer from the common mental disorders of depression and anxiety. Yet, there is no existing technology that accurately and objectively monitors mental health. The obstacles towards mental health care are complex and multi-faceted: social stigma, high cost, and limited or no access to local care - all hinder patients suffering from mental health conditions to seek out and receive help. To address this chronic need, using recent advances in electronic-skin and wearable technologies, we designed a wearable that continuously measures physiological parameters linked to chronic stress and other mental health and wellness conditions, namely, heart rate variability, skin conductance, sweat rate, and the stress hormone, cortisol. We used additive manufacturing and flexible hybrid electronics to make the device scalable and low-cost. Utilizing the sensor data and analytics, we can characterize mental states quantitatively, allowing the capability to prevent and treat mental illness irrespective of the local environment. In this talk, I will demonstrate the first-of-its-kind wearable for mental health and present a multi-part study that combines both user-centered design and engineering-centered data collection to inform future design efforts for mental health wearables. Such wearable devices, in conjunction with mobile technologies, enable the possibility of remote care, which can allow discrete monitoring, potentially circumventing the stigma often associated with mental health treatment. Overall, in this talk, I will discuss engineering innovations in medical devices to address one of the most pressing global health burdens.

    Biography: Yasser Khan is a postdoctoral scholar at Stanford University, advised by Professor Zhenan Bao in Chemical Engineering and Professor Boris Murmann in Electrical Engineering. Yasser completed his Ph.D. in Electrical Engineering and Computer Sciences from the University of California, Berkeley, in Professor Ana Claudia Arias' Group. He received his B.S. and M.S. in Electrical Engineering from the University of Texas at Dallas and King Abdullah University of Science and Technology, respectively. Yasser's research focuses on additive manufacturing and hardware AI to produce skin-like wearables, implantables, and ingestibles. These medical devices are being used for precision health and psychiatry.

    Yasser received the EECS departmental fellowship at UC Berkeley, discovery scholarship and graduate fellowship at KAUST, and academic excellence scholarship at UT Dallas. Yasser published over 40 research publications in the most reputed platforms in the field, which were highlighted by BBC News, Wall Street Journal, NSF News, and attracted over $2 million in research funding.

    Host: ECE-Electrophysics

    More Info: https://usc.zoom.us/j/98606934279?pwd=RU5JczEvM0NnUW1kQnZ2ckJ1N29jUT09

    More Information: Yasser Khan Flyer.pdf

    Audiences: Everyone Is Invited

    Posted By: Marilyn Poplawski

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  • Sanmi (Oluwasanmi) Koyejo (University of Illinois at Urbana-Champaign) - The Measurement and Mismeasurement of Trustworthy ML

    Mon, Apr 05, 2021 @ 11:00 AM - 12:00 PM

    Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Sanmi (Oluwasanmi) Koyejo, University of Illinois at Urbana-Champaign

    Talk Title: The Measurement and Mismeasurement of Trustworthy ML

    Abstract: Across healthcare, science, and engineering, we increasingly employ machine learning (ML) to automate decision-making that, in turn, affects our lives in profound ways. However, ML can fail, with significant and long-lasting consequences. Reliably measuring such failures is the first step towards building robust and trustworthy learning machines. Consider algorithmic fairness, where widely-deployed fairness metrics can exacerbate group disparities and result in discriminatory outcomes. Moreover, existing metrics are often incompatible. Hence, selecting fairness metrics is an open problem. Measurement is also crucial for robustness, particularly in federated learning with error-prone devices. Here, once again, models constructed using well-accepted robustness metrics can fail. Across ML applications, the dire consequences of mismeasurement are a recurring theme. This talk will outline emerging strategies for addressing the measurement gap in ML and how this impacts trustworthiness.

    Biography: Sanmi (Oluwasanmi) Koyejo is an Assistant Professor in the Department of Computer Science at the University of Illinois at Urbana-Champaign. Koyejo's research interests are in developing the principles and practice of trustworthy machine learning. Additionally, Koyejo focuses on applications to neuroscience and healthcare. Koyejo completed his Ph.D. in Electrical Engineering at the University of Texas at Austin, advised by Joydeep Ghosh, and completed postdoctoral research at Stanford University. His postdoctoral research was primarily with Russell A. Poldrack and Pradeep Ravikumar. Koyejo has been the recipient of several awards, including a best paper award from the conference on uncertainty in artificial intelligence (UAI), a Sloan Fellowship, a Kavli Fellowship, an IJCAI early career spotlight, and a trainee award from the Organization for Human Brain Mapping (OHBM). Koyejo serves on the board of the Black in AI organization.

    Host: Fei Sha

    Audiences: By invitation only.

    Posted By: Assistant to CS chair

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  • Astani Department of Civil and Environmental Engineering Seminar

    Tue, Apr 06, 2021 @ 11:00 AM - 12:00 PM

    Sonny Astani Department of Civil and Environmental Engineering

    Conferences, Lectures, & Seminars


    Speaker: Hae Young Noh, Ph.D., Associate Professor, Civil and Environmental Engineering, Stanford University

    Talk Title: Structures as Sensors: Indirectly Monitoring Humans and Surroundings with Ambient Structural Responses

    Abstract: See Attachment

    Host: Dr. Roger Ghanem

    More Information: Hae Young Noh_ Abstract-Bio.pdf

    Location: Zoom: https://usc.zoom.us/j/97228056404; Meeting ID: 972 2805 6404: Passcode: 864779

    Audiences: Everyone Is Invited

    Posted By: Evangeline Reyes

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  • Emerging Nanophotonic Platforms for Infectious Disease Diagnostics: Re-imagining the Conventional Microbiology Toolkit

    Tue, Apr 06, 2021 @ 02:00 PM - 03:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Prof. Jennifer Dionne, Stanford University

    Talk Title: Emerging Nanophotonic Platforms for Infectious Disease Diagnostics: Re-imagining the Conventional Microbiology Toolkit

    Series: Photonics Seminar

    Host: Electrical and Computer Engineering: Wade Hsu, Mercedeh Khajavikhan, Michelle Povinelli, Constantine Sideris, and Wei Wu

    More Info: https://usc.zoom.us/meeting/register/tJEqcuuprD4oE9ZVf6lwC_KIX9-3i55nMAMV

    More Information: Photonics Seminar _Jennifer Dionne 4-6-21.png

    Audiences: Everyone Is Invited

    Posted By: Jennifer Ramos/Electrophysics

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  • ISE 651 - Epstein Seminar

    Tue, Apr 06, 2021 @ 03:30 PM - 04:50 PM

    Daniel J. Epstein Department of Industrial and Systems Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Andres Gomez, Assistant Professor, Epstein Dept. of Industrial & Systems Engineering, USC

    Talk Title: Convexification of Constrained Nonlinear Optimization Problems With Indicator Variables

    Host: Prof. Jong-Shi Pang

    More Information: April 6, 2021.pdf

    Location: Online/Zoom

    Audiences: Everyone Is Invited

    Posted By: Grace Owh

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  • Mork Family Department Spring Virtual Seminars - Matthew Neurock

    Tue, Apr 06, 2021 @ 04:00 PM - 05:20 PM

    Mork Family Department of Chemical Engineering and Materials Science

    Conferences, Lectures, & Seminars


    Speaker: Matthew Neurock, University of Minnesota

    Talk Title: TBA

    Abstract: ZOOM MEETING INFO:
    https://usc.zoom.us/j/98225952695?pwd=d0NMenhCNkliR1ZIR1lBamRpZHh1UT09
    Meeting ID: 982 2595 2695 • Passcode: 322435

    Host: Shaama Sharada

    More Info: https://usc.zoom.us/j/98225952695?pwd=d0NMenhCNkliR1ZIR1lBamRpZHh1UT09

    Audiences: Everyone Is Invited

    Posted By: Greta Harrison

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  • ECE-EP Seminar - Karan Mehta, Wednesday, April 7th, 9am via Zoom

    Wed, Apr 07, 2021 @ 09:00 AM - 10:30 AM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Karan Mehta, ETH Zurich

    Talk Title: Integrated photonic and atomic quantum systems

    Abstract: Practical and useful quantum information processing requires significant advances over current systems in error rates and robustness of basic operations, and at the same time in scale. The high coherence and precise control possible with trapped atomic ion qubits are promising for long-term systems, but the optics required pose a major challenge in scaling.
    Interfacing low-noise atomic qubits with scalable integrated photonics [1] is a promising route forward, enabling practical extensibility while simultaneously lending robustness to noise.
    Foundry-fabricated ion trap devices with integrated waveguide optical delivery have recently allowed us to realize multi-ion entangling quantum logic with fidelities competitive with the highest achieved across qubit platforms [2]. Aside from the stability and scalability afforded by these techniques, I will discuss how they allow generation of optical field profiles enabling new physical operations, new photonics motivated by atomic systems broadly, and additional possibilities for such techniques to advance future experiments in areas including sensing and precision metrology.

    [1] K.K. Mehta, C.D. Bruzewicz, R. McConnell, R.J. Ram, J.M. Sage, and J. Chiaverini. "Integrated optical addressing of an ion qubit." Nature Nanotechnology 11, 1066-1070 (2016). [2] K.K. Mehta, C. Zhang, M. Malinowski, T.-L. Nguyen, M. Stadler, and J.P. Home. "Integrated optical multi-ion quantum logic." Nature 586, 533-537 (2020).

    Biography: Karan Mehta received BS. Degrees from UCLA in Physics and Electrical Engineering in 2010, and completed his PhD in Electrical Engineering and Computer Science at MIT in 2017. Since 2017 he has been an ETH postdoctoral fellow and subsequently senior scientist in the Physics department at ETH Zurich since 2017. His current research interests include trapped- ion techniques, optics and integrated photonics, and quantum information.

    Host: ECE-Electrophysics

    More Info: https://usc.zoom.us/j/97126068362?pwd=OGdjUGF3WExjd1NRTTNQT0NqMkU3Zz09

    More Information: Karan Mehta Flyer.pdf

    Audiences: Everyone Is Invited

    Posted By: Marilyn Poplawski

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  • CS Colloquium: Heni Ben Amor (Arizona State University) - Human-Robot Interactive Collaboration and Communication

    Thu, Apr 08, 2021 @ 04:00 PM - 05:20 PM

    Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Heni Ben Amor, Arizona State University

    Talk Title: Human-Robot Interactive Collaboration and Communication

    Series: Computer Science Colloquium

    Abstract: Autonomous and anthropomorphic robots are poised to play a critical role in manufacturing, healthcare and the services industry in the near future. However, for this vision to become a reality, robots need to efficiently communicate and physically interact with their human partners. Rather than traditional remote controls and programming languages, adaptive and transparent techniques for human-robot collaboration are needed. In particular, robots may need to interpret implicit behavioral cues or explicit instructions and, in turn, generate appropriate responses. In this talk, I will present ongoing work which leverages machine learning (ML), natural language processing and virtual reality to create different modalities for humans and machines to engage in effortless and natural interactions. To this end, I will describe Bayesian Interaction Primitives - an approach for motor skill learning and spatio-temporal modelling in physical human-robot collaboration tasks. Further, I will discuss our recent work on language-conditioned imitation learning and self-supervised learning in interactive tasks. The talk will also cover techniques that enable robots to communicate information back to the human partner via mixed reality projections. To demonstrate these techniques, I will present applications in prosthetics, social robotics, and collaborative assembly.

    Register in advance for this webinar at:

    https://usc.zoom.us/webinar/register/WN_0-U51YE7Rx-z99qO4Kj33w

    After registering, attendees will receive a confirmation email containing information about joining the webinar.

    This lecture satisfies requirements for CSCI 591: Research Colloquium.


    Biography: Heni Ben Amor is an Assistant Professor for robotics at Arizona State University. He is the director of the ASU Interactive Robotics Laboratory. Ben Amor received the NSF CAREER Award, the Fulton Outstanding Assistant Professor Award in 2018, as well as the Daimler-and-Benz Fellowship in 2012. Prior to joining ASU, he was a research scientist at Georgia Tech, a postdoctoral researcher at the Technical University Darmstadt (Germany), and a visiting research scientist in the Intelligent Robotics Lab at the University of Osaka (Japan). His primary research interests lie in the fields of artificial intelligence, machine learning, robotics, and human-robot interaction. Ben Amor received a Ph.D. in computer science from the Technical University Freiberg, focusing on artificial intelligence and machine learning. More information can be found at: http://henibenamor.weebly.com/


    Host: Heather Culbertson

    Webcast: https://usc.zoom.us/webinar/register/WN_0-U51YE7Rx-z99qO4Kj33w

    Location: Online Zoom Webinar

    WebCast Link: https://usc.zoom.us/webinar/register/WN_0-U51YE7Rx-z99qO4Kj33w

    Audiences: Everyone Is Invited

    Posted By: Computer Science Department

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  • Advanced Manufacturing Seminar

    Fri, Apr 09, 2021 @ 10:00 AM - 11:30 AM

    Aerospace and Mechanical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Sheng Xu, Assistant Professor, Department of NanoEngineering, University of California, San Diego

    Talk Title: Advanced Manufacturing and Material Design for Soft Electronics: From the Skin to Below the Skin

    Abstract: Soft electronic devices that can noninvasively and continuously acquire vital signs from the human body represent an important trend for healthcare. Combined strategies of advanced manufacturing and materials design allow the integration of a variety of components and devices on a soft platform, resulting in functional systems with minimal constraints on the human body. In this presentation, I will demonstrate a wearable multichannel patch that can sense a collection of signals from the human skin in a wireless mode. Additionally, integrating high-performance ultrasonic transducers on the stretchable substrate adds a new third dimension to the detection range of conventional soft electronics. Ultrasound waves can penetrate the skin and noninvasively capture dynamic events in deep tissues, such as blood pressure and blood flow waveforms in central arteries and veins. This soft platform holds profound implications for a wide range of applications in consumer electronics, sports medicine, defense, and clinical practices.

    Biography: Dr. Sheng Xu is currently an assistant professor in the Department of Nanoengineering at the University of California San Diego. He received his B.S. in Chemistry from Peking University and Ph.D. in Materials Science and Engineering from Georgia Institute of Technology, followed by postdoctoral studies at the University of Illinois at Urbana-Champaign. His group is interested in developing new materials and fabrication strategies for soft electronics. His research has been presented to the Congressmen and Congresswomen as a testimony of NIH extramural research during a Congressional Hearing. He has been recognized by many awards, including NIH MIRA, NIH Trailblazer Award, Sloan Fellowship, Wellcome Trust Innovator Award, MIT TR35, and MRS Outstanding Young Investigator Award. He is an NAS Kavli Fellow and an NAE Frontier of Engineering. He serves Nano Research as a Young Star Editor.

    Host: Center for Advanced Manufacturing

    More Info: https://usc.zoom.us/webinar/register/WN_kMleLeQQSca4oToi6Xj8Nw

    Webcast: https://usc.zoom.us/webinar/register/WN_kMleLeQQSca4oToi6Xj8Nw

    More Information: Adv Mfg Seminar S21_Sheng Xu.pdf

    Location: Online event

    WebCast Link: https://usc.zoom.us/webinar/register/WN_kMleLeQQSca4oToi6Xj8Nw

    Audiences: Everyone Is Invited

    Posted By: Tessa Yao

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  • ECE-EP Seminar - Mengjie Yu, Monday, April 12, 9am via Zoom

    Mon, Apr 12, 2021 @ 09:00 AM - 10:30 AM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Mengjie Yu, Harvard University

    Talk Title: Integrated Nonlinear and Quantum Photonic Devices

    Abstract: Recent advances in nanofabrication technology have allowed for the realization of ultra-low loss nanophotonic waveguides and is opening up exciting opportunities for next-generation nonlinear photonic circuits with higher integration density, advanced functionalities, and ultralow energy consumption. Those features are critical for advancing photonic technologies in both classical and quantum domains.
    In this talk, I will discuss silicon-based and thin-film lithium niobate (LN)-based photonic devices, which leverage the combination of Kerr and second-order nonlinearities, along with electro-optic (EO) and piezoelectric effects to achieve highly efficient and controllable light-matter interactions at extremely compact footprints. I will talk about the first mode-locked Kerr frequency combs in the mid-infrared regime and dual-comb spectroscopy technique for ultrafast molecular sensing, based on silicon microresonators. Furthermore, I will discuss a novel class of silicon-nitride-based optical parametric oscillators and its experimental realization for building a true quantum random number generator and a spatially multiplexed nanophotonic spin glasses system for coherent photonic computing. Thirdly, I will talk about the emerging LN optoelectronic platform and show the developments of several novel EO devices and circuits for femtosecond pulse lasers, frequency shifters, and electro-optic frequency combs. Lastly, I will discuss the potential of nonlinear photonic platform for scaling up and accelerating classical and quantum technologies in molecular sensing, photonic computing, information processing and communication networks.

    Biography: Mengjie Yu is a postdoctoral fellow in Professor Marko Loncar's group in the John A. Paulson School of Engineering and Applied Sciences at Harvard University. She received her Ph.D. degree in Electrical Engineering in 2018 from Cornell University in Professor Alexander L. Gaeta's group. Her research focuses on integrated photonics across various platforms of silicon, silicon nitride, and lithium niobate, and her research areas include nonlinear physics, integrated optical frequency comb, mid-infrared molecular spectroscopy, nonlinear frequency conversion and coherent computing based on artificial photonic Ising spins.

    Mengjie Yu is the 2020 the Optical Society (OSA) Ambassador. She was the winner of the 2016 Maiman Student Paper Competition and the 2016 Emil Wolf Student Paper Competition, and a finalist of the 2020 Tingye Li Innovation Prize. She was the Caltech 2019 Young Investigator Lecturer. She has published 33 peer-reviewed journal papers and 45 conference papers and is a referee for 15 peer-reviewed journals. Currently, she serves as chair of the OSA Integrated Photonics Technical Group.

    Host: ECE-Electrophysics

    More Info: https://usc.zoom.us/j/92646609585?pwd=Tk9YdXpBVVB0NDI4Mm1zckxvMXJ0UT09

    More Information: Mengjie Yu Flyer.pdf

    Audiences: Everyone Is Invited

    Posted By: Marilyn Poplawski

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  • Astani Department of Civil and Environmental Engineering Seminar

    Tue, Apr 13, 2021 @ 11:00 AM - 12:00 PM

    Sonny Astani Department of Civil and Environmental Engineering

    Conferences, Lectures, & Seminars


    Speaker: Josephine Carstensen, Ph.D., Assistant Professor, Massachusetts Institute of Technology

    Talk Title: Freeform Structural Topology-Optimized Design for Advanced Manufacturing

    Abstract: Recent years have seen a rapid development within manufacturing technologies across length scales, easing the fabrication of increasingly complex material architectures, components and structures. As a consequence, there is now a need for novel engineering design methods that match the new manufacturing paradigm. Topology optimization offers a means to leverage the advanced manufacturing possibilities. It is a free-form design approach in which a formal optimization problem is posed and solved using mathematical programming. Although manufacturing has been revolutionized, there are still fabrication limitations. This talk focuses on the need for identifying the relevant material behaviors and manufacturing constraints and incorporating them within the design process.

    Recently, a large research focus has been on embedding the characteristics of 3D printing into topology optimization algorithms. This talk presents the first algorithm that incorporates the discrete nozzle size restrictions associated with material extrusion 3D printing processes such as fused Fused Filament Fabrication FFF and concrete 3D printing. The extrusion printing process consists of a nozzle that moves across the build plate and deposits the extruded material on a 2D slice of the design. If the nozzle has a discrete size, the thickness of any member must consist of a discrete number of nozzle passes. This work uses a density-based topology optimization approach in which the manufacturing constraint is implicitly embedded in the filtering operation. Design solutions are shown to fulfill the nozzle restriction constraint on several benchmark examples.

    Despite the advances in construction technologies, there has been little research focused on developments and application of topology optimization to civil structures. This talk will introduce and discuss design frameworks for structural systems and components made of both timber-steel and reinforced concrete. A framework to design timber-steel trusses with minimized embodied carbon will be presented. Additionally, designs for plain and reinforced concrete beams are obtained, constructed and experimentally tested in efforts to show how topology-optimized designs can achieve performance improvements without requiring a high structural complexity.


    Biography: Josephine Carstensen is an Assistant Professor in the Department Civil and Environment Engineering at MIT. She leads the top-ad research group and her research revolve around the engineering question of how we design the structures of the future? Her work spans from development of computational design frameworks for various structural types and design scenarios over experimental investigations that are used to inform necessary algorithmic considerations.

    Dr. Carstensen is a recipient of the National Science Foundation CAREER award 2021. She received her PhD from Johns Hopkins University in 2017 and holds a B.Sc. and a M.Sc. from the Technical University of Denmark.


    Host: Dr. Roger Ghanem

    Location: Zoom: https://usc.zoom.us/j/97228056404; Meeting ID: 972 2805 6404: Passcode: 864779

    Audiences: Everyone Is Invited

    Posted By: Evangeline Reyes

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  • Mixing Light and Sound in Integration Photonics

    Tue, Apr 13, 2021 @ 01:00 PM - 02:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Prof. Peter Rakich, Yale University

    Talk Title: Mixing Light and Sound in Integration Photonics

    Host: Electrical and Computer Engineering: Wade Hsu, Mercedeh Khajavikhan, Michelle Povinelli, Constantine Sideris, and Wei Wu

    More Info: https://usc.zoom.us/meeting/register/tJEqcuuprD4oE9ZVf6lwC_KIX9-3i55nMAMV

    More Information: Photonics Seminar _Peter Rakich 4-13-21.png

    Audiences: Everyone Is Invited

    Posted By: Jennifer Ramos/Electrophysics

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  • ISE 651 - Epstein Seminar

    Tue, Apr 13, 2021 @ 03:30 PM - 04:50 PM

    Daniel J. Epstein Department of Industrial and Systems Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Enrique Mallada, Assistant Professor, Dept. of Electrical and Computer Engineering, Johns Hopkins University

    Talk Title: Incentive Analysis and Coordination Design for Multi-Timescale Electricity Markets

    Host: Prof. Suvrajeet Sen

    More Information: April 13, 2021.pdf

    Location: Online/Zoom

    Audiences: Everyone Is Invited

    Posted By: Grace Owh

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  • CS Distinguished Lecture: Tuomas Sandholm (Carnegie Mellon University, Strategy Robot, Inc., Optimized Markets, Inc., Strategic Machine, Inc.) - What Can and Should Humans Contribute to Superhuman AIs?

    Tue, Apr 13, 2021 @ 04:00 PM - 05:20 PM

    Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Tuomas Sandholm, Carnegie Mellon University, Strategy Robot, Inc., Optimized Markets, Inc., Strategic Machine, Inc.

    Talk Title: What Can and Should Humans Contribute to Superhuman AIs?

    Series: Computer Science Distinguished Lecture Series

    Abstract: I will discuss what humans can and should contribute to superhuman AIs-”not general ones intended to be like humans, but ones for specific applications that make the world a better place. I will discuss how the application should drive research. I will present extensive experiences from having fielded superhuman AIs for combinatorial markets, organ exchanges, and imperfect-information game settings. I will discuss inventing and scoping novel AI applications. I will discuss how humans should supply the value framework while leaving policy optimization and combinatorics for AI. I will cover a framework that separates those ends and means, and conducts future-aware optimization in very-large-scale dynamic problems in a scalable way. I will wonder about the future of science when theorems (not just proofs) and empirical theories need to be so long that they are beyond human comprehension. I will discuss human overconfidence in humans over AI. I will discuss what explainability could be and why in many AI applications it should not be required. Finally, I will suggest flipping ethics around from an ex post discussion activity to a system-design discipline that I coin pre-design ethics.

    Register in advance for this webinar at:

    https://usc.zoom.us/webinar/register/WN_xhADAX7FRt-eiAg2fCI5bQ

    After registering, attendees will receive a confirmation email containing information about joining the webinar.


    Biography: Tuomas Sandholm is Angel Jordan University Professor of Computer Science at Carnegie Mellon University and a serial entrepreneur. His research focuses on the convergence of artificial intelligence, economics, and operations research. He is Co-Director of CMU AI. He is Founder and Director of the Electronic Marketplaces Laboratory.

    In parallel with his academic career, he was Founder, Chairman, first CEO, and CTO/Chief Scientist of CombineNet, Inc. from 1997 until its acquisition in 2010. During this period the company commercialized over 800 of the world's largest-scale generalized combinatorial multi-attribute auctions, with over $60 billion in total spend and over $6 billion in generated savings. He is Founder and CEO of Optimized Markets, Inc., which is bringing a new optimization-powered paradigm to advertising campaign sales, scheduling, and pricing in linear and nonlinear TV, display, streaming, and cross-media advertising.

    Since 2010, his algorithms have been running the national kidney exchange for UNOS, where they make the kidney exchange transplant plan for 80% of U.S. transplant centers together each week. He also co-invented never-ending altruist-donor-initiated chains, which have become the main modality of kidney exchange worldwide and have led to around 10,000 life-saving transplants. He invented liver lobe and multi-organ exchanges, and the first liver-kidney swap took place in 2019.

    He has developed the leading algorithms and pipelines for several general game classes. The team he leads is the multi-time world champion in AI-vs-AI heads-up no-limit Texas hold'em, the main benchmark and decades-open challenge problem for application-independent algorithms for imperfect-information games. Their AI Libratus became the first and only AI to beat top humans at that game. Then their AI Pluribus became the first and only AI to beat top humans at the multi-player game. That is the first superhuman milestone in any game beyond two-player zero-sum games. He is Founder and CEO of Strategic Machine, Inc., which provides solutions for strategic reasoning in business and gaming applications. He is Founder and CEO of Strategy Robot, Inc., which focuses on defense, intelligence, and other government applications.

    Among his honors are the Minsky Medal, Engelmore Award, Computers and Thought Award, inaugural ACM Autonomous Agents Research Award, CMU's Allen Newell Award for Research Excellence, Sloan Fellowship, NSF Career Award, Carnegie Science Center Award for Excellence, Edelman Laureateship, and Goldman Sachs 100 Most Intriguing Entrepreneurs. He is Fellow of the ACM, AAAI, and INFORMS. He holds an honorary doctorate from the University of Zurich.


    Host: Bistra Dilkina, USC Center for Artificial Intelligence in Society (CAIS)

    Webcast: https://usc.zoom.us/webinar/register/WN_xhADAX7FRt-eiAg2fCI5bQ

    Location: Online Zoom Webinar

    WebCast Link: https://usc.zoom.us/webinar/register/WN_xhADAX7FRt-eiAg2fCI5bQ

    Audiences: Everyone Is Invited

    Posted By: Computer Science Department

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  • Center for Cyber-Physical Systems and Internet of Things and Ming Hsieh Institute Seminar

    Wed, Apr 14, 2021 @ 10:00 AM - 11:00 AM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Kuldeep Meel, Department of Computer Science, School of Computing at National University of Singapore

    Talk Title: Scalable Functional Synthesis: The Child of Perfect Marriage between Machine Learning and Formal Methods

    Series: Center for Cyber-Physical Systems and Internet of Things

    Abstract: Don't we all dream of the perfect assistant whom we can just tell what to do, and the assistant can figure out how to accomplish the tasks? Formally, given a specification F(X, Y) over the set of input variables X and output variables Y, we want the assistant, aka functional synthesis engine, to design a function G such that (X, Y=G(X)) satisfies F. Functional synthesis has been studied for over 150 years, dating back to Boole in 1850s and yet scalability remains a core challenge. Motivated by progress in machine learning, we design a new algorithmic framework, Manthan, which views functional synthesis as a classification problem, relying on advances in constrained sampling for data generation, and advances in automated reasoning for a novel proof-guided refinement and provable verification. On an extensive and rigorous evaluation over 609 benchmarks, we demonstrate that Manthan significantly improves upon the current state of the art. The significant performance improvements, along with our detailed analysis, highlights several interesting avenues of future work at the intersection of machine learning, constrained sampling, and automated reasoning.

    Biography: Kuldeep Meel is the Sung Kah Kay Assistant Professor in the Computer Science Department of the School of Computing at the National University of Singapore where he also holds the President's Young Professorship. His research interests lie at the intersection of Formal Methods and Artificial Intelligence. He is a recipient of the 2019 NRF Fellowship for AI and was named AI's 10 to Watch by IEEE Intelligent Systems in 2020. His work received the 2018 Ralph Budd Award for Best PhD Thesis in Engineering, 2014 Outstanding Masters Thesis Award from Vienna Center of Logic and Algorithms and Best Student Paper Award at CP 2015. He received his Ph.D. (2017) and M.S. (2014) degree from Rice University, and B. Tech. (with Honors) degree (2012) in Computer Science and Engineering from Indian Institute of Technology, Bombay.

    Host: pierluigi Nuzzo, nuzzo@usc.edu

    Webcast: https://usc.zoom.us/webinar/register/WN_Qk4-7AthThudso7LXs2OiA

    Location: Online

    WebCast Link: https://usc.zoom.us/webinar/register/WN_Qk4-7AthThudso7LXs2OiA

    Audiences: Everyone Is Invited

    Posted By: Talyia White

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  • AME Seminar

    Wed, Apr 14, 2021 @ 03:30 PM - 04:30 PM

    Aerospace and Mechanical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Nina Balke , Oak Ridge National Laboratory

    Talk Title: A Nanoscale View on Electromechanical Phenomena

    Abstract: The ability to transform electrical energy into mechanical energy and vice versa is the foundation to many technologies in the area of information and energy, such as sensors, piezotronics, energy harvesting, piezoelectric, electrochemical, and polymer actuators, and artificial muscles. Despite the importance of electromechanical phenomena and numerous applications, fundamental interdisciplinary studies needed to understand, and control electromechanical phenomena on the nanoscale are lacking. Atomic force microscopy (AFM) is well suited to measure local volume changes in the picometer range and has a lateral resolution of 10s of nanometer which makes this an ideal technique to address electromechanical phenomena on the nanoscale. Despite the technical advances and the development of new SPM-based characterization techniques, the quantification of functional material parameters based on electromechanical phenomena is still elusive. The lack of quantitative and accurate measurement can also lead to the misinterpretation of relevant material physics. Only if quantitative material parameters can be extracted, can a correlation of nanoscale structure-function relationships be derived, and AFM can be integrated with techniques probing smaller or larger length and time scales as well as theoretical efforts for a full information integration across different disciplines. I will give an overview over which electromechanical phenomena can be probed quantitatively including electro-chemo-mechanical coupling to understand local electrochemical reactions and processes in electrochemical capacitors. Then I will talk in depth about AFM and ferroelectric materials and how the quantitative measurement of piezoelectric material properties led to the discovery of layered 2D van der Waals ferroelectrics with highly unusual material properties and functionalities based on the presence of four polar phases and high ion conductivity. These materials demonstrate, for the first time, how physical order parameter can be controlled by ionic degrees of freedom which will open new concepts for functional heterostructures and electronic devices.

    Biography: Nina Balke received her Ph.D in Materials Sciences from the Technical University of Darmstadt, Germany, in 2006. After being a Feodor-Lynen fellow of the Alexander von Humboldt foundation at the University of California in Berkeley she became a research staff at the Center for Nanophase Materials Sciences at Oak Ridge National Laboratory in 2010. She is specialized in nanoscale characterization of electromechanical effects and electro-chemo-mechanical coupling using atomic force microscopy in oxides and vdW layered materials. Her scientific focus includes ferroelectrics, dielectrics, and energy storage materials as well as in-situ characterization of solid-liquid interfaces.



    Host: AME Department

    More Info: https://usc.zoom.us/j/92982374143

    Webcast: https://usc.zoom.us/j/92982374143

    Location: Online event

    WebCast Link: https://usc.zoom.us/j/92982374143

    Audiences: Everyone Is Invited

    Posted By: Tessa Yao

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  • NL SEMINAR-Universal linguistic inductive biases via meta learning

    Thu, Apr 15, 2021 @ 11:00 AM - 12:00 PM

    Information Sciences Institute

    Conferences, Lectures, & Seminars


    Speaker: R. Thomas McCoy, JHU

    Talk Title: Universal linguistic inductive biases via meta learning

    Series: NL Seminar

    Abstract: Despite their impressive scores on NLP leaderboards, current neural models fall short of humans in two major ways. They require massive amounts of training data, and they generalize poorly to novel types of examples. To address these problems, we propose an approach for giving targeted linguistic inductive biases to a model, where inductive biases are factors that affect how a learner generalizes. Our approach imparts inductive biases using meta learning, a procedure through which the model discovers how to acquire new languages more quickly via exposure to many possible languages. By controlling the properties of the languages used during meta learning, we can control the inductive biases that meta learning imparts. Using a case study from phonology, we show how this approach enables faster learning and more robust generalization.

    Biography: Tom McCoy is a PhD student in the Johns Hopkins Cognitive Science department, advised by Tal Linzen and Paul Smolensky. He studies the linguistic abilities of neural networks, focusing on inductive biases the topic of this talk as well as compositional structure: How can neural networks use their continuous vector representations to encode phrases and sentences?

    Host: Jon May and Mozhdeh Gheini

    More Info: https://nlg.isi.edu/nl-seminar/

    Webcast: https://usc.zoom.us/j/99182081995

    Location: Information Science Institute (ISI) - Virtual Only

    WebCast Link: https://usc.zoom.us/j/99182081995

    Audiences: Everyone Is Invited

    Posted By: Petet Zamar

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  • Creativity in the Time of COVID

    Thu, Apr 15, 2021 @ 12:30 PM - 01:20 PM

    Information Technology Program (ITP)

    Conferences, Lectures, & Seminars


    Speaker: Professors Dashiell-Sparks and Elefano, and Dr. Miller, Professor

    Talk Title: Creativity in the Time of COVID

    Host: Dr. Quade French

    Webcast: https://usc.zoom.us/j/94398598467

    More Information: Creativity Panel Flyer.pdf

    WebCast Link: https://usc.zoom.us/j/94398598467

    Audiences: Everyone Is Invited

    Posted By: Cory Nelson

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  • Advanced Manufacturing Seminar

    Fri, Apr 16, 2021 @ 10:00 AM - 11:30 AM

    Aerospace and Mechanical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Denis Cormier, Earl W. Brinkman Professor, Rochester Institute of Technology

    Talk Title: Metal Additive Manufacturing Via Jetting of Molten Metal Droplets

    Abstract: This seminar will introduce attendees to an emerging metal additive manufacturing process that produces parts via on-demand jetting of molten metal droplets. Unlike traditional metal additive manufacturing processes such as powder bed fusion or binder jetting, the droplet jetting process uses wire, rather than powder, as the feedstock material. This greatly reduces cost and safety concerns. The absence of a powder bed also reduces feedstock carrying costs and eliminates complicated lot tracing procedures associated with blending of new and used powders. Process parameters such as drop size, jetting temperature, drop spacing, and jetting frequency all influence the dimensional accuracy, density, and mechanical properties of fabricated parts. An open architecture droplet jetting machine from Xerox (formerly Vader Systems) is used to demonstrate the influence of both process parameters and toolpath generation strategies on geometric accuracy, density, and microstructure of aluminum alloys.

    Biography: Dr. Denis Cormier is the Earl W. Brinkman Professor of Industrial and Systems Engineering at Rochester Institute of Technology where he directs the New York State funded AMPrint Center for Advanced Technology. Dr. Cormier has worked in the area of 3D printing and additive manufacturing for 25 years. Since joining RIT in 2009, his research has focused on technologies such as multi-material inkjet deposition, direct-write processes including aerosol printing and microdispensing, and pulsed photonic sintering. Most recently, he has focused on development of a liquid metal droplet jetting additive manufacturing process. Prior to joining RIT, he was a professor at North Carolina State University from 1994 to 2009.

    Host: Center for Advanced Manufacturing

    More Info: https://usc.zoom.us/webinar/register/WN_3zuU3UdYSSKvT5CvyZuxow

    Webcast: https://usc.zoom.us/webinar/register/WN_3zuU3UdYSSKvT5CvyZuxow

    More Information: Adv Mfg Seminar S21_Denis Cormier.pdf

    Location: Online event

    WebCast Link: https://usc.zoom.us/webinar/register/WN_3zuU3UdYSSKvT5CvyZuxow

    Audiences: Everyone Is Invited

    Posted By: Tessa Yao

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  • Astani Department of Civil and Environmental Engineering Seminar

    Tue, Apr 20, 2021 @ 11:00 AM - 12:00 PM

    Sonny Astani Department of Civil and Environmental Engineering

    Conferences, Lectures, & Seminars


    Speaker: Bridget Ulrich, Ph.D., Natural Resources Research Institute, University of Minnesota Duluth

    Talk Title: Unravelling Removal Processes for Polar Organic Contaminants in Aquatic Systems

    Abstract: See Attached Abstract.

    Host: Dr. Daniel McCurry

    More Information: B. Ulrich_Abstract-Bio.pdf

    Location: Zoom: https://usc.zoom.us/j/97228056404; Meeting ID: 972 2805 6404: Passcode: 864779

    Audiences: Everyone Is Invited

    Posted By: Evangeline Reyes

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  • ISE 651 - Epstein Seminar

    Tue, Apr 20, 2021 @ 03:30 PM - 04:50 PM

    Daniel J. Epstein Department of Industrial and Systems Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Urbashi (Ubli) Mitra, Professor, USC, Electrical and Computer Engineering

    Talk Title: TBD

    Host: Prof. Jong-Shi Pang

    Location: Online/Zoom

    Audiences: Everyone Is Invited

    Posted By: Grace Owh

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  • CS Colloquium: Alice Xiang (Sony AI) - Algorithmic Fairness and the Law

    Fri, Apr 23, 2021 @ 10:00 AM - 11:00 AM

    Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Alice Xiang, Sony AI

    Talk Title: Algorithmic Fairness and the Law

    Series: Computer Science Colloquium

    Abstract: What does it mean for an algorithm or decision-making process to be fair? When making decisions using data, how do we account for historical biases or systemic inequalities? While the algorithmic fairness literature is comparatively nascent, these are questions the law has long grappled with. This talk will provide an overview of the algorithmic fairness literature and connections with anti-discrimination jurisprudence. In particular, this talk will discuss the tension between the use of protected class attributes to mitigate algorithmic bias and the law's preference for efforts to address discrimination that are blind or neutral to protected class attributes. Divergences like this between legal compatibility and technical feasibility are challenges that will need to be addressed in order to deploy algorithmic fairness methods in practice.

    This lecture satisfies requirements for CSCI 591: Research Colloquium.


    Biography: Alice Xiang is a Senior Research Scientist at Sony AI, where she leads research on responsible AI. Alice previously worked as the Head of Fairness, Transparency, and Accountability Research at the Partnership on AI, where she led a team of interdisciplinary researchers and a portfolio of multi-stakeholder research initiatives. She also served as a Visiting Scholar at Tsinghua University's Yau Mathematical Sciences Center. She was recognized as one of the 100 Brilliant Women in AI Ethics, and has been quoted in the Wall Street Journal, MIT Tech Review, Fortune, and others, for her work on algorithmic bias and transparency, criminal justice risk assessment tools, and AI ethics. Alice holds a Juris Doctor from Yale Law School, a Master's in Development Economics from Oxford, a Master's in Statistics from Harvard, and a Bachelor's in Economics from Harvard.


    Host: Sirisha Rambhatla (sirishar@usc.edu)

    Webcast: https://viterbi.webex.com/viterbi/j.php?MTID=m5f18c96c4db845b65c22fa7c17d9516c

    Location: Online Webex TBA

    WebCast Link: https://viterbi.webex.com/viterbi/j.php?MTID=m5f18c96c4db845b65c22fa7c17d9516c

    Audiences: Everyone Is Invited

    Posted By: Computer Science Department

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  • Astani Department of Civil and Environmental Engineering Seminar

    Tue, Apr 27, 2021 @ 11:00 AM - 12:00 PM

    Sonny Astani Department of Civil and Environmental Engineering

    Conferences, Lectures, & Seminars


    Speaker: Nathanael Fast, Associate Professor, USC Marshall School of Business

    Talk Title: TBA

    Abstract: TBA

    Host: Dr. Burcin Becerik-Gerber

    Location: Zoom: https://usc.zoom.us/j/97228056404; Meeting ID: 972 2805 6404: Passcode: 864779

    Audiences: Everyone Is Invited

    Posted By: Evangeline Reyes

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  • ISE 651 - Epstein Seminar

    Tue, Apr 27, 2021 @ 03:30 PM - 04:50 PM

    Daniel J. Epstein Department of Industrial and Systems Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Pavlo A. Krokhmal, Professor, University of Arizona

    Talk Title: TBD

    Host: Prof. Suvrajeet Sen

    Location: Online/Zoom

    Audiences: Everyone Is Invited

    Posted By: Grace Owh

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