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Conferences, Lectures, & Seminars
Events for August

  • NL Seminar

    Thu, Aug 04, 2022 @ 11:00 AM - 12:00 PM

    Information Sciences Institute

    Conferences, Lectures, & Seminars


    Speaker: 1.) Taiwei Shi and 2.) Jonne Saleva, USC/ISI Interns

    Talk Title: Title 1.)Improving Moderation of Online Discussions via Nonviolent Communication 2.)Linguistic heritage-aware language model adaptation for diasporic languages

    Abstract: Only the first segment of this seminar will be recorded, the second portion will be Live Only.

    REMINDER:
    Meeting hosts only admit guests that they know to the Zoom meeting. Hence, you are highly encouraged to use your USC account to sign into Zoom.

    If you are an outside visitor, please inform us at (nlg DASH seminar DASH host AT isi DOR edu beforehand so we will be aware of your attendance and let you in.

    In-person attendance will be permitted for USC ISI faculty, staff, students only. Open to the public virtually via the zoom registration link and online.

    1.Abstract for Taiwei Shi:
    The growing number of comments makes online discussions problematic to moderate by human moderators only. A crucial limitation of current automated moderation is that the generations are repetitive, generic, and judgmental, which is not effective in terms of changing someones mind and behaviors. We seek to build dialogue models that can intervene in an adversarial conversation involving participants that have abandoned reasoned discussion and descended into personal attacks. While also a difficult problem among humans, we would like to explore the effectiveness of Nonviolent Communication NVC, an approach to restoring breakdowns in communication.

    In this talk, we will discuss the strategies of incorporating one aspect of NVC called observation without evaluation O vs E into dialogue models. First, we obtain a sufficiently large set of O vs E dialogue data to train an O vs E classifier. We then expand this to a sufficiently large set to fine tune a dialogue model. We also explore text style transfer to rewrite moderation datasets, so the model could actively intervene in toxic conversations while being less judgmental at the same time. Finally, we will discuss the strategies for evaluating the dialogue model and conclude with future directions.

    2.Abstract for Jonne Saleva:
    Multilingual language models have proven their effectiveness as cross lingual representation learners that perform well on several downstream tasks and a variety of languages, including many lower resourced and zero shot ones. Although effective, MLLMs remain somewhat opaque and the nature of their cross linguistic transfer is difficult to understand. While it seems plausible that higher and lower resourced languages should share information within the model, what is less clear is how such transfer is mediated by linguistic relatedness.

    In this talk, we investigate this problem through the lens of diasporic languages which can be crudely understood as a combination of a co cultural language and a co territorial language". Specifically, we ask whether augmenting MLLM adaptation using these ancestral languages, or some mixture of them, can improve MLLM performance on a lower resourced diasporic language, both in terms of perplexity as well as extrinsically on a named entity recognition task. We outline preliminary results on Yiddish, a Germanic language spoken by Ashkenazi Jews, and discuss the effectiveness of using German and Hebrew as ancestral languages. Finally, we contrast regular ancestral pretraining with recent lexicon based adaptation approaches by Wang et al 2022 and conclude with directions for future work.

    Biography: 1.Taiwei Shi BIO"
    Taiwei Shi is a current summer intern for the Natural Language Group at USC ISI under Professors Jonathan May and Xuezhe Ma. He is also an undergraduate student at the Georgia Institute of Technology, majoring in Computer Science and Mathematics. He has previously worked at Georgia Techs SALT lab under Professor Diyi Yang. He is working towards a career where he can pursue his interests and make an impact in natural language processing, especially in the fields of computational social science and philosophy.

    2.Jonne Saleva BIO:
    Jonne Saleva is a summer intern in the Natural Language Group at USC ISI, working on language modeling for lower resourced diasporic languages under Prof. Jonathan May. Jonne is also a Ph.D. student in Computer Science at Brandeis University, where he is working on NLP for morphologically rich and lower resourced languages as part of the Broadening Linguistic Technologies Lab led by Prof. Constantine Lignos. Prior to his doctoral studies, Jonne received his M.S. in Computer Science from Brandeis University and A.B. in Statistics from Harvard College in 2017.

    Host: Jon May and Thamme Gowda

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

    Location: Information Science Institute (ISI) - Virtual

    Audiences: Everyone Is Invited

    Contact: Pete Zamar

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  • How the Pandemic Has Changed Healthcare - Seminar Talk Series

    Thu, Aug 04, 2022 @ 12:00 PM - 02:00 PM

    Daniel J. Epstein Department of Industrial and Systems Engineering

    Conferences, Lectures, & Seminars


    Speaker: Motz Feinberg, MBA (VP Supply Chain, Cedars-Sinai Medical Center) Chris Gopal, PhD (Adjunct Professor of Data Sciences and Operations, USC Marshall School of Business) Binh Pham (Executive Director Supply Chain, Hoag), *Moderated by David Belson, PhD*

    Talk Title: How the Pandemic Changed Supply Chains

    Host: Daniel J. Epstein Dept. Industrial & Systems Engineering, USC Keck, and USC Price

    More Info: Please register at: https://usc.zoom.us/webinar/register/WN_5TAO7KHxRZy26IebQQHcYw

    More Information: How the Pandemic Changed Healthcare 8 2022.pdf

    Location: Online/Zoom

    Audiences: Everyone Is Invited

    Contact: Grace Owh

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  • Repeating EventSix Sigma Green Belt for Process Improvement

    Tue, Aug 09, 2022 @ 09:00 AM - 05:00 PM

    Executive Education

    Conferences, Lectures, & Seminars


    Talk Title: Six Sigma Green Belt

    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: Executive Education

    More Info: https://viterbiexeced.usc.edu/engineering-program-areas/six-sigma-lean-certification/six-sigma-green-belt-process-improvement/

    Audiences: Everyone Is Invited

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    Contact: Corporate and Professional Programs

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  • Repeating EventSix Sigma Green Belt for Process Improvement

    Wed, Aug 10, 2022 @ 09:00 AM - 05:00 PM

    Executive Education

    Conferences, Lectures, & Seminars


    Talk Title: Six Sigma Green Belt

    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: Executive Education

    More Info: https://viterbiexeced.usc.edu/engineering-program-areas/six-sigma-lean-certification/six-sigma-green-belt-process-improvement/

    Audiences: Everyone Is Invited

    View All Dates

    Contact: Corporate and Professional Programs

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  • Repeating EventSix Sigma Green Belt for Process Improvement

    Thu, Aug 11, 2022 @ 09:00 AM - 05:00 PM

    Executive Education

    Conferences, Lectures, & Seminars


    Talk Title: Six Sigma Green Belt

    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: Executive Education

    More Info: https://viterbiexeced.usc.edu/engineering-program-areas/six-sigma-lean-certification/six-sigma-green-belt-process-improvement/

    Audiences: Everyone Is Invited

    View All Dates

    Contact: Corporate and Professional Programs

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  • NL Seminar - Quantum Natural Language Processing

    Thu, Aug 11, 2022 @ 11:00 AM - 12:00 PM

    Information Sciences Institute

    Conferences, Lectures, & Seminars


    Speaker: Mitch Mithun, USC/ISI

    Talk Title: Quantum Natural Language Processing

    Abstract: REMINDER:
    Meeting hosts only admit guests that they know to the Zoom meeting. Hence, you are highly encouraged to use your USC account to sign into Zoom.

    If you are an outside visitor, please inform us at (nlg DASH seminar DASH host AT isi DOR edu beforehand so we will be aware of your attendance and let you in.

    In-person attendance will be permitted for USC ISI faculty, staff, students only. Open to the public virtually via the zoom registration link and online.

    Quantum Natural Language Processing is a very nascent field which deals with using quantum computers to solve natural language processing problems. Quantum advantage speed up for QNLP tasks has already been established in literature and has been attributed to the fact that quantum models for natural language processing canonically incorporate linguistic meanings with rich linguistic structure, most notably grammar. The fact that it takes a quantum like model to combine meaning and structure, establishes QNLP as quantum native, on par with simulation of quantum systems. Moreover, the now leading Noisy Intermediate Scale Quantum NISQ paradigm for encoding classical data on quantum hardware, variational quantum circuits, makes NISQ exceptionally QNLP friendly linguistic structure can be encoded as a free lunch, in contrast to the apparently exponentially expensive classical encoding of grammar.

    In this talk, Mitch will first introduce some quantum mechanics enroute to talking about quantum computation and QNLP. Specifically, he will talk about quantum algorithms for incorporating compositionality, providing some basic conceptual and mathematical foundations needed to understand QNLP, and do so in computer scientist friendly terms. He will end with talking about the state of the art in QNLP

    Biography: Mitch is a post doctoral researcher at ISI working with Marjorie Freedman in the networking and cyber security division. Mitch, recently graduated from his PhD from University of Arizona before joining ISI as a postdoc. Before that, he worked in the software industry for 10 plus years. He got his masters and undergrad degrees from Birla Institute of Technology and Science, Pilani, India. His research interests include natural language processing, cyber security and quantum computation.

    Host: Jon May and Thamme Gowda

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

    Webcast: https://www.youtube.com/watch?v=Q4hICz6bbJ8

    Location: Information Science Institute (ISI) - Virtual Only

    WebCast Link: https://www.youtube.com/watch?v=Q4hICz6bbJ8

    Audiences: NL Seminar

    Contact: Pete Zamar

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  • How the Pandemic Has Changed Healthcare - Seminar Talk Series

    Thu, Aug 11, 2022 @ 12:00 PM - 02:00 PM

    Daniel J. Epstein Department of Industrial and Systems Engineering

    Conferences, Lectures, & Seminars


    Speaker: Carole Adell (Senior Lean Consultant, Sutter Health) Denis Deas (VP, Sutter Health) Cooper Linton (Associate Vice President, Duke HomeCare and Hospice at Duke University Health System), *Moderated by: Sonali Saluja, MD, MPH*

    Talk Title: How the Pandemic Changed Staffing

    Host: Daniel J. Epstein Dept. of Industrial & Systems Engineering, USC Keck, and USC Price

    More Info: Please register at: https://usc.zoom.us/webinar/register/WN_5TAO7KHxRZy26IebQQHcYw

    More Information: How the Pandemic Changed Healthcare 8 2022.pdf

    Location: Online/Zoom

    Audiences: Everyone Is Invited

    Contact: Grace Owh

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  • Welcome Event for NEW ISE MS Students

    Tue, Aug 16, 2022 @ 01:30 PM - 03:30 PM

    Daniel J. Epstein Department of Industrial and Systems Engineering

    Conferences, Lectures, & Seminars


    Speaker: NA, NA

    Talk Title: Welcome Event for NEW ISE MS Students

    Host: ISE Departmentq

    Location: Corwin D. Denney Research Center (DRB) - Patio

    Audiences: Department Only

    Contact: Michele ISE

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  • How the Pandemic Has Changed Healthcare - Seminar Talk Series

    Thu, Aug 18, 2022 @ 12:00 PM - 02:00 PM

    Daniel J. Epstein Department of Industrial and Systems Engineering

    Conferences, Lectures, & Seminars


    Speaker: Rashmi Mullur, MD (Chief of Telehealth, VA Greater Los Angeles) Elaine Khoong, MD, MS (Assistant Professor, Medicine, Zuckerberg San Francisco General Hospital) Wei-An (Andy) Lee, DO (Director, Specialty Care, LAC+USC Medical Center), *Moderated by: Barbara Turner, MD, MSEd, MA*

    Talk Title: How the Pandemic Changed Telehealth

    Abstract:


    Host: Daniel J. Epstein Dept. of Industrial & Systems Engineering, USC Keck, and USC Price

    More Info: Please register at: https://usc.zoom.us/webinar/register/WN_5TAO7KHxRZy26IebQQHcYw

    More Information: How the Pandemic Changed Healthcare 8 2022.pdf

    Location: Online/Zoom

    Audiences: Everyone Is Invited

    Contact: Grace Owh

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  • MHI Seminar - Prof. Daniel Brunner, Thursday, August 18th at 2pm in EEB 248

    Thu, Aug 18, 2022 @ 02:00 PM - 03:30 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Daniel Brunner, Institut FEMTO-ST, Université Bourgogne Franche-Comté CNRS UMR 6174, Besançon, France.

    Talk Title: Towards Scalable Photonic Neural Networks with (3+1)d Integrated Optics

    Abstract: Integrated photonic architectures have the potential to revolutionize neural network computing. However, conventional 2D lithography strongly limits the size of integrated photonic neural networks due to fundamental scaling laws. This is of particular importance since scalability to large network sizes proofs to be of crucial importance for neural network computing performance. We want to overcome this problem by integrating neural networks using 3D printed photonic waveguides. For that, we demonstrate complex 3D multimode waveguide networks based on polymer waveguides surrounded by air. Furthermore, we recently developed a (3+1)D direct laser writing technique where we dynamically and locally control the writing power in order to realize single mode step or graded index waveguides.

    Biography: Prof. Daniel Brunner is a CNRS researcher with the FEMTO-ST, France. His interests include novel computing using quantum or nonlinear substrates with a focus on photonic neural networks. He was received several University and the IOP's 2010 Roys prize, the IOP Journal Of Physics:Photonics emerging leader 2021 prize and an ERC Consolidator grant in 2022. He edited one Book and three special issues, has presented his results 45+ times upon invitation and has published 50+ scientific articles.

    Host: MHI

    Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248

    Audiences: Everyone Is Invited

    Contact: Marilyn Poplawski

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  • AME Seminar

    Wed, Aug 24, 2022 @ 03:30 PM - 04:30 PM

    Aerospace and Mechanical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Michaëlle N. Mayalu, Stanford University

    Talk Title: Control Theoretic Applications for Biomedical Therapeutics

    Abstract: The body uses feedback control strategies at intermolecular, intercellular and interorgan levels to maintain health and fight disease. Using mathematical models to understand and predict these control strategies gives insight into a wide array of biomedical applications ranging from engineered cell-based therapies to diet-based modulation of brain function.

    For engineered cell-based therapies, cooperative feedback control of cell population density is an integral part in many genetic designs. In this multicellular coordination problem, control action takes place on two levels: i) individual cells can activate or repress relevant genes, ii) cells can access the ensemble state of the entire population as obtained through diffusible signaling molecules. These genetically altered cells can provide new and improved functionalities and act as smart therapies to make decisions based on intercellular communication and the environment. However, previous population controller genetic designs are not robust to mutational invasions.

    For diet-based modulation of brain function, diet can initiate multiple interorgan feedback control systems that effect brain signaling and contribute to cognitive performance. Specifically, diet-mediated gut microbial signals influence nervous, immune, and bloodstream pathways which connect to memory function within the brain. It is desired to use diet to modulate gut microbiota as a novel therapy for maintaining cognitive performance. However, relationships between diet, changes in gut microbiota, activation of interorgan pathways, and alterations in brain signaling are not well understood.

    In this talk I present mathematical frameworks from an integrated control theoretic, computational biology and healthcare perspective that: i) characterize genetic designs for robust feedback control of cell population and ii) elucidate the connections between diet and cognitive performance. These modeling frameworks share the underlying structure where communication between agents contribute to the prediction of a collective response. In healthcare contexts, this allows for better understanding and manipulation of the connection between therapeutic targets and dominant patterns within the biological process. Using these models, we further analyze internal mechanisms, performance properties, and derive general design principles and functional relationships in the context of the aforementioned biomedical therapies.

    Biography: Michaelle N. Mayalu is an Assistant Professor of Mechanical Engineering. She received her Ph.D., M.S., and B.S., degrees in Mechanical Engineering at the Massachusetts Institute of Technology. She was a postdoctoral scholar at the California Institute of Technology in the Computing and Mathematical Sciences Department. She was a 2017 California Alliance Postdoctoral Fellowship Program recipient and a 2019 Burroughs Wellcome Fund Postdoctoral Enrichment Program award recipient.

    Dr. Michaëlle N. Mayalu's area of expertise is in mathematical modeling and control theory of synthetic biological and biomedical systems. She is interested in the development of control theoretic tools for understanding, controlling, and predicting biological function at the molecular, cellular, and organismal levels to optimize therapeutic intervention.

    She is the director of the Mayalu Lab whose research objective is to investigate how to optimize biomedical therapeutic designs using theoretical and computational approaches coupled with experiments. Initial project concepts include: i) theoretical and experimental design of bacterial "microrobots" for preemptive and targeted therapeutic intervention, ii) system-level multi-scale modeling of gut associated skin disorders for virtual evaluation and optimization of therapy, iii) theoretical and experimental design of "microrobotic" swarms of engineered bacteria with sophisticated centralized and decentralized control schemes to explore possible mechanisms of pattern formation. The experimental projects in the Mayalu Lab utilize established techniques borrowed from the field of synthetic biology to develop synthetic genetic circuits in E. coli to make bacterial "microrobots". Ultimately the Mayalu Lab aims to develop accurate and efficient modeling frameworks that incorporate computation, dynamical systems, and control theory that will become more widespread and impactful in the design of electro-mechanical and biological therapeutic machines.

    Website: https://mayalulab22.sites.stanford.edu/

    Host: AME Department

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

    Webcast: https://usc.zoom.us/j/98775609685?pwd=a2lSd01oY0o2KzA4VWphbGxjWk5Qdz09

    Location: Seaver Science Library (SSL) - 202

    WebCast Link: https://usc.zoom.us/j/98775609685?pwd=a2lSd01oY0o2KzA4VWphbGxjWk5Qdz09

    Audiences: Everyone Is Invited

    Contact: Tessa Yao

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  • Civil and Environmental Engineering Seminar

    Thu, Aug 25, 2022 @ 11:00 AM - 12:00 PM

    Sonny Astani Department of Civil and Environmental Engineering

    Conferences, Lectures, & Seminars


    Speaker: Alberto Guadagnini, Politecnico di Milano

    Talk Title: Stochastic assessment of hydrogeological and geochemical variables exhibiting multiscale spatial heterogeneity

    Abstract: See attachment

    Biography: See attachment

    Host: Prof. Felipe de Barros

    More Information: Alberto Guadagnini-8-25-22 Speaker.pdf

    Location: Ronald Tutor Hall of Engineering (RTH) - 526

    Audiences: Everyone Is Invited

    Contact: Salina Palacios

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  • How the Pandemic Has Changed Healthcare - Seminar Talk Series

    Thu, Aug 25, 2022 @ 12:00 PM - 02:00 PM

    Daniel J. Epstein Department of Industrial and Systems Engineering

    Conferences, Lectures, & Seminars


    Speaker: Paul Simon, MD, MPH (Chief Science Officer, Los Angeles County Department of Public Health) *More speakers to be announced, Moderator TBD*

    Talk Title: How the Pandemic Changed Public Health

    Host: Daniel J. Epstein Dept. of Industrial & Systems Engineering, USC Keck, and USC Price

    More Info: Please register at: https://usc.zoom.us/webinar/register/WN_5TAO7KHxRZy26IebQQHcYw

    More Information: How the Pandemic Changed Healthcare 8 2022.pdf

    Location: Online/Zoom

    Audiences: Everyone Is Invited

    Contact: Grace Owh

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  • Civil and Environmental Engineering Seminar

    Thu, Aug 25, 2022 @ 02:00 PM - 03:00 PM

    Sonny Astani Department of Civil and Environmental Engineering

    Conferences, Lectures, & Seminars


    Speaker: Alberto Guadagnini, Politecnico di Milano

    Talk Title: Stochastic assessment of hydrogeological and geochemical variables exhibiting multiscale spatial heterogeneity

    Abstract: See attachment

    Biography: See attachment

    Host: Prof. Felipe de Barros

    Location: Ronald Tutor Hall of Engineering (RTH) - 526

    Audiences: Everyone Is Invited

    Contact: Salina Palacios

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  • Epstein Institute - ISE 651 Seminar

    Tue, Aug 30, 2022 @ 03:30 PM - 04:50 PM

    Daniel J. Epstein Department of Industrial and Systems Engineering

    Conferences, Lectures, & Seminars


    Speaker: Prof. Sven Koenig, Dean's Professor of Computer Science, Department of Computer Science, USC

    Talk Title: Multi-Agent Path Finding and Its Applications

    Host: Prof. Suvrajeet Sen

    More Information: August 30, 2022.pdf

    Location: Ethel Percy Andrus Gerontology Center (GER) - 206

    Audiences: Everyone Is Invited

    Contact: Grace Owh

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  • AME Seminar

    Wed, Aug 31, 2022 @ 03:30 PM - 04:30 PM

    Aerospace and Mechanical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Ali Mani, Stanford University

    Talk Title: Macroscopic Forcing Method: a computational method for evaluation of turbulence closure operators

    Abstract: This study presents a numerical procedure, which we call the macroscopic forcing method (MFM), which reveals the differential operators acting upon the mean fields of quantities transported by underlying fluctuating flows. Specifically, MFM can reveal differential operators associated with turbulent transport of scalars and momentum. We present this methodology by considering canonical problems with increasing complexity. For spatially homogeneous and statistically stationary systems, we observe that eddy diffusivity can be approximated by an operator which in turbulent flows is on the order of the large-eddy size and 𝐷 is the Boussinesq limit eddy diffusivity. We show a cost-effective generalization of MFM for analysis of non-homogeneous and wall-bounded flows, where eddy diffusivity is found to be a non-local and non-isotropic operator acting on the macroscopic gradient of transported quantities. Towards the end of this talk, application of MFM on a canonical separated flow will be presented where the tensorial eddy viscosity is quantified, and its anisotropy is shown to be the key missing piece in RANS predictions.

    Biography: Ali Mani is an associate professor of Mechanical Engineering at Stanford University. He is a faculty affiliate of the Center for Turbulence Research and a member of Institute for Computational and Mathematical Engineering at Stanford. He received his PhD in Mechanical Engineering from Stanford in 2009. Prior to joining the faculty in 2011, he was a senior postdoctoral associate at Massachusetts Institute of Technology in the Department of Chemical Engineering. His research group builds and utilizes large-scale high-fidelity numerical simulations, as well as methods of applied mathematics, to develop quantitative understanding of transport processes that involve strong coupling with fluid flow and commonly involve turbulence or chaos. His teaching includes the undergraduate engineering math classes and graduate courses on fluid mechanics and numerical analysis. He is the recipient of an Office of Naval Research Young Investigator Award (2015), NSF Career Award (2016), and Tau Beta Pi Teaching Honor Roll (2019).

    Host: AME Department

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

    Webcast: https://usc.zoom.us/j/98775609685?pwd=a2lSd01oY0o2KzA4VWphbGxjWk5Qdz09

    Location: Seaver Science Library (SSL) - 202

    WebCast Link: https://usc.zoom.us/j/98775609685?pwd=a2lSd01oY0o2KzA4VWphbGxjWk5Qdz09

    Audiences: Everyone Is Invited

    Contact: Tessa Yao

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