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Events for the 3rd week of November

  • Astani Department of Civil and Environmental Engineering Seminar

    Mon, Nov 16, 2020 @ 04:00 PM - 05:00 PM

    Sonny Astani Department of Civil and Environmental Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Jose-Luis Jimenez, University of Colorado at Boulder

    Talk Title: The Modes of Transmission of SARS-CoV-2, and How to Protect Ourselves: What We Know Now

    Abstract: See attached Abstract and Bio.

    Host: Dr. George Ban-Weiss

    More Information: J. Jimenez- Abstract-Bio.pdf

    Location: Zoom Meeting

    Audiences: Everyone Is Invited

    Contact: Evangeline Reyes

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  • USC Makers Fall 2020 Showcase

    Mon, Nov 16, 2020 @ 08:00 PM - 10:00 PM

    Computer Science

    Student Activity


    We are Makers at USC (http://viterbimakers.usc.edu/) - an electronics hobbyist club started in Fall 2016 by three engineering students as an effort to promote more innovation and interest in electronics on campus. Our mission is to facilitate the exploration of concepts in electronics design and stimulate interest in fields of electronics such as the Internet of Things, Embedded Systems, and Robotics. Our organization hopes to serve as a resource for the USC community by offering assistance with electronics-related projects and hosting workshops that are open to the general public.

    Our members (mainly EE/CS/MechE majors) work in teams to create projects, and this month, we're excited to show off the progress we have made on our creations! This semester has been very unconventional, to say the least, but we are proud to announce that we were still able to create physical hardware projects virtually. Please join us for our fall showcase to see what we have made thus far and celebrate the end of the semester!

    When: November 16th, 8 pm to 10 pm PST

    Where: https://usc.zoom.us/j/91703823421

    Location: Online - Zoom

    WebCast Link: https://usc.zoom.us/j/91703823421

    Audiences: Everyone Is Invited

    Contact: USC Computer Science

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  • CS Colloquium: Mohammad Rostami (USC ISI) - Learning Efficiently in Data-Scarce Regimes

    Tue, Nov 17, 2020 @ 11:00 AM - 12:00 PM

    Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Mohammad Rostami, USC

    Talk Title: Learning Efficiently in Data-Scarce Regimes

    Abstract: The unprecedented processing demand, posed by the explosion of big data, challenges researchers to design efficient and adaptive machine learning algorithms that do not require persistent retraining and avoid learning redundant information. Inspired from learning techniques of intelligent biological agents, identifying transferable knowledge across learning problems has been a significant research focus to improve machine learning algorithms. In this talk, we explain how the challenges of knowledge transfer can be addressed through embedding spaces that capture and store hierarchical knowledge.

    We first focus on the problem of cross-domain knowledge transfer. We explore the problem of zero-shot image classification, where the goal is to identify images from unseen classes using semantic descriptions of these classes. We train two coupled dictionaries that align visual and semantic domains via an intermediate embedding space. We then extend this idea by training deep networks that match data distributions of two visual domains in a shared cross-domain embedding space.

    We then investigate the problem of cross-task knowledge transfer in sequential learning settings. Here, the goal is to identify relations and similarities of multiple machine learning tasks to improve performance across the tasks. We first address the problem of zero-shot learning in a lifelong machine learning setting, where the goal is to learn tasks with no data using high-level task descriptions. Our idea is to relate high-level task descriptors to the optimal task parameters through an embedding space. We then develop a method to overcome the problem of catastrophic forgetting within a continual learning setting of deep neural networks by enforcing the tasks to share the same distribution in the embedding space.

    Finally, we focus on current research directions to expand the past progress and plans for the future research directions. Through this talk, we demonstrate that despite major differences, problems within the above learning scenarios can be tackled using a unifying strategy that allows transferring knowledge effectively.

    This lecture satisfies requirements for CSCI 591: Research Colloquium


    Join Zoom Meeting
    https://usc.zoom.us/j/91954313931?pwd=U3JmUWR4WVZ6aDEyMUs0dEk0akZ5QT09

    Meeting ID: 919 5431 3931
    Passcode: 299776

    Biography: Mohammad Rostami is a computer scientist at USC Information Sciences Institute. He received Ph.D. degree in Electrical and Systems Engineering from the University of Pennsylvania in August 2019. He also received an M.S. degree in Robotics and M.A. degree in Philosophy at Penn. Before Penn, he obtained an M.Sc. degree in Electrical and Computer Engineering from University of Waterloo, and B.Sc. degree in Electrical Engineering and B.Sc. degree in Mathematics from the Sharif University of Technology. His current research area is learning in time-dependent and data-scarce regimes within machine learning.

    Host: CS Department

    Audiences: Everyone Is Invited

    Contact: Cherie Carter

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  • ISE 651 - Epstein Seminar

    Tue, Nov 17, 2020 @ 03:30 PM - 04:50 PM

    Daniel J. Epstein Department of Industrial and Systems Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Siqian Shen, Associate Professor, Industrial & Operations Engineering, University of Michigan

    Talk Title: Multistage Distributionally Robust Mixed-Integer Programming with Decision-Dependent Moment-Based Ambiguity Sets

    Host: Prof. Suvrajeet Sen

    More Information: November 17, 2020.pdf

    Location: Online/Zoom

    Audiences: Everyone Is Invited

    Contact: Grace Owh

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  • CS Distinguished Lecture: Jennifer Rexford (Princeton University) - Securing Internet Applications From Routing Attacks

    Tue, Nov 17, 2020 @ 03:30 PM - 04:50 PM

    Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Jennifer Rexford, Princeton University

    Talk Title: Securing Internet Applications From Routing Attacks

    Series: Computer Science Distinguished Lecture Series

    Abstract: The Internet is a "network of networks" that interconnects tens of thousands of separately administered networks. Yet, the Border Gateway Protocol (BGP), the glue that holds the disparate parts of the Internet together, is notoriously vulnerable to misconfiguration and attack. The consequences range from making destinations unreachable, to misdirecting traffic through unexpected intermediaries, to impersonating legitimate services. Attacks on Internet routing are typically viewed through the lens of availability and confidentiality, assuming an adversary that either discards traffic or performs eavesdropping. Yet, a strategic adversary can use routing attacks to compromise the security of critical Internet applications like Tor, certificate authorities, and the bitcoin network. In this talk, we survey such application-specific routing attacks and argue that both application-layer and network-layer defenses are essential and urgently needed. While application-layer defenses are easier to deploy in the short term, we hope that greater awareness of strategic attacks on important applications can provide much needed momentum for the deployment of network-layer defenses like secure routing protocols.

    Register in advance for this webinar at:

    https://usc.zoom.us/webinar/register/WN_uiLYEP8mRR2_UIQ4oJn5ug

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

    This lecture satisfies requirements for CSCI 591: Research Colloquium.


    Biography: Jennifer Rexford is the Gordon Y.S. Wu Professor of Engineering and the Chair of Computer Science at Princeton University. Before joining Princeton in 2005, she worked for nine years at AT&T Labs--Research. Jennifer received her BSE degree in electrical engineering from Princeton University in 1991, and her PhD degree in electrical engineering and computer science from the University of Michigan in 1996. She is co-author of the book "Web Protocols and Practice" (Addison-Wesley, 2001). She served as the chair of ACM SIGCOMM from 2003 to 2007. Jennifer received ACM's Grace Murray Hopper Award for outstanding young computer professional, the ACM Athena Lecturer Award, the NCWIT Harrold and Notkin Research and Graduate Mentoring Award, the ACM SIGCOMM award for lifetime contributions, and the IEEE Internet Award. She is an ACM Fellow, an IEEE Fellow, and a member of the American Academy of Arts and Sciences, the National Academy of Engineering, and the National Academy of Sciences.


    Host: Heather Culbertson

    More Info: https://usc.zoom.us/webinar/register/WN_uiLYEP8mRR2_UIQ4oJn5ug

    Location: Online Zoom Webinar

    Audiences: Everyone Is Invited

    Contact: Computer Science Department

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  • Spring CPT Info Session #1

    Wed, Nov 18, 2020 @ 12:00 PM - 01:00 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    This information session is offered each semester to students interested in CPT (undergraduate and graduate student sessions)

    Please register here:
    https://usc.zoom.us/webinar/register/WN_T6W_ezWuSxCiJSLgG28Acw

    Location: Online

    Audiences: Everyone Is Invited

    Contact: RTH 218 Viterbi Career Connections

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

    Wed, Nov 18, 2020 @ 02:00 PM - 03:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Taylor T. Johnson, Electrical Engineering and Computer Science, Vanderbilt University

    Talk Title: Verifying Deep Neural Networks in Autonomous Cyber-Physical Systems

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

    Abstract: The ongoing renaissance in artificial intelligence (AI) has led to the advent of machine learning (ML) methods deployed within components for sensing, actuation, and control in safety-critical cyber-physical systems (CPS). While such learning-enabled components (LECs) are enabling autonomy in systems like autonomous vehicles, swarm robots, and other CPS, as demonstrated in part through recent accidents in semi-autonomous/autonomous CPS and by adversarial ML attacks, ensuring such components operate reliably in all scenarios is extraordinarily challenging. We will discuss methods for assuring safety and security specifications in autonomous CPS using our NNV (Neural Network Verification) software tool (https://github.com/verivital/nnv), which has been applied to verify specifications for adaptive cruise control (ACC) and autonomous emergency braking (AEB) systems in motor vehicles. Next, we will present recent results on using NNV to prove robustness of neural networks used for perception tasks, such as image classification, applied to the VGG16/VGG19 networks that achieve high accuracy on ImageNet, as well as recent work on robustness of semantic segmentation. We will conclude with some architectural solutions to provide safety assurance in autonomous CPS at runtime, building on supervisory control with the Simplex architecture using real-time reachability, and will discuss future research directions for establishing trustworthy AI within CPS that we are exploring in a DARPA Assured Autonomy project.

    Biography: Dr. Taylor T. Johnson, PE, is an Assistant Professor of Computer Engineering (CmpE), Computer Science (CS), and Electrical Engineering (EE) in the Department of Electrical Engineering and Computer Science (EECS) in the School of Engineering (VUSE) at Vanderbilt University (since August 2016), where he directs the Verification and Validation for Intelligent and Trustworthy Autonomy Laboratory (VeriVITAL) and is a Senior Research Scientist in the Institute for Software Integrated Systems (ISIS). Dr. Johnson was previously an Assistant Professor of Computer Science and Engineering (CSE) at the University of Texas at Arlington (September 2013 to August 2016). Dr. Johnson earned a PhD in Electrical and Computer Engineering (ECE) from the University of Illinois at Urbana-Champaign in 2013, where he worked in the Coordinated Science Laboratory with Prof. Sayan Mitra, and earlier earned an MSc in ECE at Illinois in 2010 and a BSEE from Rice University in 2008. Dr. Johnson has published over 90 papers on formal methods and their applications across cyber-physical systems (CPS) domains, such as power and energy, aerospace, automotive, transportation, biotechnology, and robotics, one of which was awarded an ACM Best Software Repeatability Award. Dr. Johnson is a 2018 and 2016 recipient of the AFOSR Young Investigator Program (YIP) award, a 2015 recipient of the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Research Initiation Initiative (CRII), and his research is / has been supported by AFOSR, ARO, AFRL, DARPA, NSA, NSF, the MathWorks, NVIDIA, ONR, Toyota, and USDOT. Dr. Johnson is a member of AAAI, AAAS, ACM, AIAA, IEEE, and SAE, and is a Professional Engineer (PE) in Tennessee.

    Host: Pierluigi Nuzzo, nuzzo@usc.edu

    Webcast: https://usc.zoom.us/webinar/register/WN_YSl0DRVOQJetWGNAACPOYQ

    Location: Online

    WebCast Link: https://usc.zoom.us/webinar/register/WN_YSl0DRVOQJetWGNAACPOYQ

    Audiences: Everyone Is Invited

    Contact: Talyia White

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  • Paying for your USC Viterbi Education

    Wed, Nov 18, 2020 @ 02:00 PM - 03:00 PM

    Viterbi School of Engineering Undergraduate Admission

    University Calendar


    Join Angie Solares, Senior Assistant Director of Undergraduate Admission at the USC Viterbi School of Engineering, and Jessica Medina, Associate Director of Outreach at the USC Financial Aid Office, for a conversation on paying for your USC education. In this webinar, we will cover topics such as application fee waivers, merit scholarships, need-based financial aid, and more. You will also be able to engage in discussion with us through a lively Q&A session.

    Please register here: https://applyto.usc.edu/register/ViterbiFinAid

    Audiences: Everyone Is Invited

    Contact: Angie Solares

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  • How to build your Research Portfolio

    Wed, Nov 18, 2020 @ 03:00 PM - 04:00 PM

    Viterbi School of Engineering Doctoral Programs, Viterbi School of Engineering Graduate Admission, Viterbi School of Engineering Masters Programs, Viterbi School of Engineering Student Affairs

    Workshops & Infosessions


    Interested in Master's or PhD programs in engineering or computer science? Want to learn some tips to help build your research resume?

    You are cordially invited to meet representatives from the Viterbi School of Engineering on an online webinar.

    Students who have earned or are in the process of earning a Bachelor's degree in engineering, computer science, mathematics, or a hard science (such as physics, biology, or chemistry) are welcome to attend to learn more about applying to our graduate programs.

    The session will include information on the following topics:

    - Master's & PhD programs in engineering and computer science
    - How to seek out summer research opportunities
    - How to find research opportunities during the semester
    - How to Apply
    - Scholarships and funding
    - Student life at USC and in Los Angeles

    There will also be sufficient time for questions.

    WebCast Link: https://uscviterbi.webex.com/uscviterbi/onstage/g.php?MTID=e3cfd0b7dfeef449e7872f78c11946d20

    Audiences: Everyone Is Invited

    Contact: Kevin Henry

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  • Forecasting the Future: Current Trends Reshaping the Bay Area

    Wed, Nov 18, 2020 @ 06:00 PM - 07:30 PM

    Viterbi School of Engineering Alumni

    Workshops & Infosessions


    This year the world has had to pivot from the way we normally operate, and the Bay Area is no exception. Current trends have created a renaissance in the way we work and where we live, which is reshaping industries and regions around the world.

    Join us for a conversation with local Trojan industry experts as they explore how current trends in technology, real estate, hospitality and healthcare are creating a new normal for the Bay Area. This event will start with a panel discussion followed by optional industry specific breakout sessions to allow guests the opportunity to dive deeper into the the future of the region.

    Moderator:
    - Dr. Peter Pirnajad - Executive Director Global Public Sector - State and Local Government, Oracle

    Panelists
    - Sean Kundu - Vice President Corporate Development, 49ers
    - Jenny Rowe - Founder, BluePrint Real Estate
    - Ali Simnad - Vice President of Product Management, Pyron (Viterbi Alum)

    WebCast Link: https://tinyurl.com/y4nbffos

    Audiences: Everyone Is Invited

    Contact: Kristy Ly

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  • Spring CPT Info Session #2

    Thu, Nov 19, 2020 @ 12:00 PM - 01:00 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    This information session is offered each semester to students interested in CPT (undergraduate and graduate student sessions)

    Please register here:
    https://usc.zoom.us/webinar/register/WN_Ih-NMWBcQsqpsI2HBUPWng

    Location: Online

    Audiences: Everyone Is Invited

    Contact: RTH 218 Viterbi Career Connections

    OutlookiCal
  • CS Colloquium: Matthew Gombolay (Georgia Institute of Technology) - Democratizing Robot Learning for Safe, Efficient Human-Robot Interaction

    Thu, Nov 19, 2020 @ 03:30 PM - 04:50 PM

    Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Matthew Gombolay, Georgia Institute of Technology

    Talk Title: Democratizing Robot Learning for Safe, Efficient Human-Robot Interaction

    Series: Computer Science Colloquium

    Abstract: Robotic technology offers the promise of performing at-home care tasks, revitalizing manufacturing, and even scaling the power of earth-bound scientists in autonomous space exploration. However, each new robot deployment today requires an ad hoc army of consultants and vast computing resources operating on black box, sample-inefficient models. To unlock the potential of robotics, we need to democratize machine learning and put the power of these tools in the hands of the end user. In this talk, I will present exciting, novel work in my lab that enables to safely and efficiently learn from human teachers and interactions with their environments. I will demonstrate how we can 1) enable robots to learn new skills from heterogeneous human teachers, 2) balance the need to actively learn more about their environment while remaining safe in proximity to humans, and 3) and convey their knowledge to human teachers and teammates through interpretable machine learning representations.

    Register in advance for this webinar at:

    https://usc.zoom.us/webinar/register/WN_6Ti2CLNuS7SqIcROZ7FJ6Q

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

    This lecture satisfies requirements for CSCI 591: Research Colloquium.


    Biography: Dr. Matthew Gombolay is an Assistant Professor of Interactive Computing at the Georgia Institute of Technology. He received a B.S. in Mechanical Engineering from the Johns Hopkins University in 2011, an S.M. in Aeronautics and Astronautics from MIT in 2013, and a Ph.D. in Autonomous Systems from MIT in 2017. Gombolay's research interests span robotics, AI/ML, human-robot interaction, and operations research. Between defending his dissertation and joining the faculty at Georgia Tech, Dr. Gombolay served as a technical staff member at MIT Lincoln Laboratory, transitioning his research to the U.S. Navy, earning him an R&D 100 Award. His publication record includes a best paper award from American Institute for Aeronautics and Astronautics, a best student paper from the American Controls Conference, and he was selected as a DARPA Riser in 2018. He was also awarded a NASA Early Career Fellowship for his work increasing science autonomy in space.

    Host: Stefanos Nikolaidis

    More Info: https://usc.zoom.us/webinar/register/WN_6Ti2CLNuS7SqIcROZ7FJ6Q

    Location: Online Zoom Webinar

    Audiences: Everyone Is Invited

    Contact: Computer Science Department

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  • 'Limited Status: How to Get Started' Virtual Information Session

    Thu, Nov 19, 2020 @ 06:00 PM - 07:00 PM

    Distance Education Network, Viterbi School of Engineering Graduate Admission

    Workshops & Infosessions


    Join USC Viterbi representatives for a step-by-step guide for how to get started with courses as early as the Spring 2021 semester as a Limited Status student.

    Please note: In order to be qualified for Limited Status, you must have an undergraduate degree in engineering or related field from a regionally-accredited university with a 3.0 GPA or above.

    Register Today!

    WebCast Link: https://uscviterbi.webex.com/uscviterbi/onstage/g.php?MTID=e3d9f3840f72378a3bf2632722ccf8428

    Audiences: Everyone Is Invited

    Contact: Corporate & Professional Programs

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  • Advanced Manufacturing Seminar

    Fri, Nov 20, 2020 @ 10:00 AM - 11:30 AM

    Aerospace and Mechanical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Hangbo Zhao, USC

    Talk Title: Unconventional Manufacturing of 3D Micro- and Mesostructures: From Strain-Engineered Growth to Mechanically Guided Assembly

    Abstract: The growing availability of methods for 3D manufacturing has implications across diverse areas ranging from energy systems to microelectronics, yet few techniques offer the necessary capabilities in geometric complexity, materials compatibility and design versatility. In this talk, I will discuss two novel manufacturing approaches to creating 3D functional material systems that are not feasible by conventional manufacturing methods: 1) strain-engineered growth of complex 3D carbon nanotube microarchitectures, and 2) mechanically guided 3D assembly of a broad range of functional materials and electronics. I will show how strain-engineered growth of carbon nanotubes, in combination with conformal coatings, enables direct formation of hierarchically structured surfaces with tailorable mechanical and interfacial properties for controlling liquid wetting and adhesion. Next, I will describe novel manufacturing technologies that exploit structural buckling and local twisting to create morphable 3D micro- and mesoscale structures, and show their applications as optical metamaterials and as electronic scaffolds in tissue-on-chip systems.

    Biography: Dr. Hangbo Zhao is an assistant professor in the Department of Aerospace and Mechanical Engineering at USC. His focus areas include micro/nano manufacturing, bio-integrated electronics, engineered surfaces, and active/smart materials. Prior to joining USC, he was a postdoctoral researcher in the Center for Bio-Integrated Electronics at Northwestern University, where he worked on multifunctional 3D materials systems and bio-integrated electronics for applications in tissue engineering and healthcare. He received his Ph.D. degree in the Department of Mechanical Engineering at MIT in 2017 on developing engineered, hierarchical surfaces for controlling liquid wetting and adhesion. His research has been published in journals including Advanced Materials, Proceedings of the National Academy of Sciences (PNAS), and Nano Today, and highlighted by Nature Nanotechnology and PNAS, His awards include the Materials Research Society (MRS) Best Poster Award (2014) and Outstanding Poster Award for the International Conference of the Polymer Processing Society (2015).


    Host: AME Department

    More Info: https://usc.zoom.us/webinar/register/WN_I7Rzv2KHQXeWKqDmB83P-g

    Webcast: https://usc.zoom.us/webinar/register/WN_I7Rzv2KHQXeWKqDmB83P-g

    Location: Online event

    WebCast Link: https://usc.zoom.us/webinar/register/WN_I7Rzv2KHQXeWKqDmB83P-g

    Audiences: Everyone Is Invited

    Contact: Tessa Yao

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  • 'Limited Status: How to Get Started' Virtual Information Session

    Fri, Nov 20, 2020 @ 11:00 AM - 12:00 PM

    Distance Education Network, Viterbi School of Engineering Graduate Admission

    Workshops & Infosessions


    Join USC Viterbi representatives for a step-by-step guide for how to get started with courses as early as the Spring 2021 semester as a Limited Status student.

    Please note: In order to be qualified for Limited Status, you must have an undergraduate degree in engineering or related field from a regionally-accredited university with a 3.0 GPA or above.

    Register Today!

    WebCast Link: https://uscviterbi.webex.com/uscviterbi/onstage/g.php?MTID=e249826a5c44d560adc6ef3d9e395c18a

    Audiences: Everyone Is Invited

    Contact: Corporate & Professional Programs

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  • Spring CPT Info Session #3

    Fri, Nov 20, 2020 @ 12:00 PM - 01:00 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    This information session is offered each semester to students interested in CPT (undergraduate and graduate student sessions)

    Please register here:
    https://usc.zoom.us/webinar/register/WN_rVtTum7QRiqh3Fp8-zYwCw

    Location: Online

    Audiences: Everyone Is Invited

    Contact: RTH 218 Viterbi Career Connections

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  • AME PhD Student Seminar

    Fri, Nov 20, 2020 @ 03:00 PM - 04:00 PM

    Aerospace and Mechanical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Vamsikrishna Chinta, USC AME PhD Student

    Talk Title: Reconstructing the time evolution of wall-bounded turbulent flows from non-time-resolved PIV measurements

    Abstract: Particle image velocimetry (PIV) systems are often limited in their ability to fully resolve the spatiotemporal fluctuations inherent in turbulent flows due to hardware constraints. In this study, we develop models based on rapid distortion theory (RDT) and Taylor's hypothesis (TH) to reconstruct the time evolution of a turbulent flow field in the intermediate period between consecutive PIV snapshots obtained using a non-time resolved system. The linear governing equations are evolved forward and backward in time using the PIV snapshots as initial conditions. The flow field in the intervening period is then reconstructed by taking a weighted sum of the forward and backward estimates. This spatiotemporal weighting function is designed to account for the advective nature of the RDT and TH equations. Reconstruction accuracy is evaluated as a function of spatial resolution and reconstruction time horizon using direct numerical simulation data for turbulent channel flow from the Johns Hopkins Turbulence Database. This method reconstructs single-point turbulence statistics well and resolves velocity spectra at frequencies higher than the temporal Nyquist limit of the acquisition system. Reconstructions obtained using a characteristics-based evolution of the flow field under TH prove to be more accurate compared to reconstructions obtained from numerical integration of the discretized forms of RDT and TH. The effect of measurement noise on reconstruction error is also evaluated.

    Biography: Vamsikrishna Chinta is a PhD student working with Prof. Mitul Luhar. His research focuses on turbulent flow reconstruction using physics-based models. Prior to joining USC as a PhD student, Vamsikrishna received his masters from Indian Institute of Science (IISc) Bangalore, and bachelors from National Institute of Technology (NIT) Calicut, both in Mechanical Engineering.

    Host: AME Department

    More Info: https://usc.zoom.us/j/92144809085

    Audiences: Everyone Is Invited

    Contact: Christine Franks

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