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Events for the 2nd week of February

  • Interviews Open Forum

    Mon, Feb 03, 2020 @ 01:00 PM - 02:00 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    Increase your preparedness for interviews by attending this professional development Q&A moderated by Viterbi Career Connections staff or Viterbi employer partners.
    For more information about Labs & Open Forums, please visit viterbicareers.usc.edu/workshops.

    Location: Ronald Tutor Hall of Engineering (RTH) - 211

    Audiences: All Viterbi

    Posted By: RTH 218 Viterbi Career Connections

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  • Astani Civil and Environmental Engineering Seminar

    Mon, Feb 03, 2020 @ 02:00 PM - 03:00 PM

    Sonny Astani Department of Civil and Environmental Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Ruggiero Lovreglio, Massey University, New Zealand

    Talk Title: Virtual and Augmented Reality Application for Human Behavior in Disasters

    Abstract: Abstract: Understanding how people behave during disasters is fundamental to enhance the safety of building from the design stage to the maintenance stage. To date, new technologies can be used to facilitate the investigation of human behaviour and training. This presentation will illustrate the Virtual Reality (VR) and Augmented Reality (AR) applications carried out by Dr Lovreglio et al. to investigate the evacuation behaviour in building fires and earthquakes and for safety training. The presentation will highlight the advantages and limitations of these technologies as well as possible future implementations of VR and AR.




    Biography: Biography: Dr Ruggiero Lovreglio (known as Rino) is Senior Lecturer at Massey University (New Zealand) where he teaches Digital Construction and Research Methods. He got his PhD in 2016 from the Scuola Interpolitecnica (Politecnico di Bari, Milano e Torino) on Human Behaviour in Fire. To date, he has been investigating human behaviour in several disasters such as building fires, earthquakes and wildfires. His research uses new technologies such as Virtual and Augmented Reality to investigate behaviours and training people. He has published more than 50 papers, 30 of them are journal articles. He is an Associate Editor for Safety Science (IF: 3.6), a member of the Editorial Board of Fire Technology (IF: 1.4) and co-author of the 6th edition of the SFPE Handbook. More info regarding Dr Lovreglio previous working experience and achievements is available at http://www.lovreglio.info


    Dr Ruggiero Lovreglio
    PhD, MEng, BEng
    Associate Editor, Safety Science
    Editorial Member, Fire Technology


    Host: Dr. Burcin Becerik-Gerber

    Location: Kaprielian Hall (KAP) - 209

    Audiences: Everyone Is Invited

    Posted By: Evangeline Reyes

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  • Geostationary Littoral Imaging and Monitoring Radiometer

    Tue, Feb 04, 2020 @ 11:00 AM - 12:30 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Jeff Puschell, Principal Engineering Fellow and Chief Scientist, Space Systems at Raytheon Space and Airborne Systems in El Segundo, California

    Talk Title: Geostationary Littoral Imaging and Monitoring Radiometer

    Host: Mahta Moghadda, PhD

    More Information: GLIMR SEMINAR 2-4-20 DR. JEFF PUSCHELL Final 1-24-20.pdf

    Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132

    Audiences: Everyone Is Invited

    Posted By: Luz Antunez-Castillo, MBA, EdD

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  • 2020 Eberhardt Rechtin Lecture

    Tue, Feb 04, 2020 @ 03:30 PM - 05:00 PM

    Daniel J. Epstein Department of Industrial and Systems Engineering

    Conferences, Lectures, & Seminars


    Speaker: David W. Bates, M.D., M.Sc., Harvard University

    Talk Title: Collaboration Between Engineering and Healthcare: Results From the BWH Patient-Safety Learning Laboratory Studies

    More Information: 2020 Rechtin Lecture Flyer_1.6.20.pdf

    Location: USC Hotel, Center Ballroom

    Audiences: Everyone Is Invited

    Posted By: Grace Owh

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  • Bloomberg CED Workshop

    Tue, Feb 04, 2020 @ 06:00 PM - 07:00 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    Calling all Center for Engineering Diversity (CED) students!

    Summer will be here before we know it! Come chat with Software Engineers from Bloomberg LP about how you can make the most of your summer internship.

    Gain perspective on what it's like to intern at large tech firms, small startups, and discuss other ways to make yourself stand out at the next career fair. Food will be provided!

    Have questions> Submit any here in advance: https://forms.gle/aijHP2rS6Zt4476x6

    Please note: The link above is for questions for this workshop only, and not an RSVP form. RSVP on Viterbi Career Gateway

    Location: 211

    Audiences: Everyone Is Invited

    Posted By: RTH 218 Viterbi Career Connections

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  • AAAI@USC Perceptron Workshop

    Tue, Feb 04, 2020 @ 07:30 PM - 08:30 PM

    Viterbi School of Engineering Student Organizations

    Workshops & Infosessions


    Perceptrons are the fundamental building blocks of neural network and deep learning algorithms that are taking over the world! Next Tuesday, join us as we explore this crucial ML algorithm, both in theory and in practice with code. New to artificial intelligence? No problem! This workshop is geared towards AI beginners as well as more experienced members who want to brush up on the fundamentals of how the perceptron algorithm works under the hood.

    RSVP HERE

    Location: ZHS 252

    Audiences: Everyone Is Invited

    Posted By: USC AAAI

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  • Viterbi Mock Interview Day

    Wed, Feb 05, 2020 @ 09:30 AM - 04:30 PM

    Viterbi School of Engineering Career Connections

    Receptions & Special Events


    Viterbi Mock Interviews Day
    Location: Michelson Hall (MCB 101)

    Sign up below for a time slot between 9:30 am and 4:30 pm to have a 20 minute mock interview with one of our employer participants on February 5th, 2020!

    Register: https://slotted.co/2020mocks

    Aera Energy,
    Air Force Test Center,
    Bloomberg,
    CRW social gaming,
    DK Engineer, Corp,
    Ensign-Bickford Industries/Honeybee Robotics,
    Farmers Insurance,
    FBI,
    Granite Construction,
    Koder,
    Magnopus,
    MATT Construction Company,
    Microsoft,
    NetApp,
    OnPrem Solution Partners,
    Redfin,
    Salesforce,
    SCS Engineers,
    Suffolk Construction,
    Syng, Inc.,
    Turner Construction Company,
    Upful, Inc,
    UPS,
    W.E. O'Neil Construction,
    and West Basin Municipal Water District

    Location: Michelson Center for Convergent Bioscience (MCB) - 101

    Audiences: All Viterbi

    Posted By: RTH 218 Viterbi Career Connections

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  • NL Seminar-Why journalism is broken and how data can help fix it

    Wed, Feb 05, 2020 @ 11:00 AM - 12:00 PM

    Information Sciences Institute

    Conferences, Lectures, & Seminars


    Speaker: Gabriel Kahn , USC Annenberg

    Talk Title: Why journalism is broken and how data can help fix it

    Series: Natural Language Seminar

    Abstract: Pizza gate, Russian trolls, deep fakes. We live in an information swamp and it sucks. At its core, the crisis in journalism is about a shifting economic model that has made it difficult for legitimate news organizations to survive. The consequences are dire. But harnessing data in the right ways can provide vital information to communities and can help news organizations do more with less. The future of a healthy news environment requires collaboration between news, data and computer science. Gabriel Kahn outlines the current problems and some potential solutions.


    Biography: Gabriel Kahn has worked as a newspaper correspondent and editor for three decades, including 10 years at The Wall Street Journal, where he served as Los Angeles bureau chief, deputy Hong Kong bureau chief and deputy Southern Europe bureau chief, based in Rome. He has reported from more than a dozen countries on three continents. He joined USC Annenberg in the fall of 2010, where he jointly runs the Media, Economics and Entrepreneurship program. The goal of M 2e is to bolster students understanding of economics and encourage innovation and experimentation with new ideas in communication and journalism. In addition to his teaching and reporting work, Kahn studies the economic models of the news industry and consults with startups and established news companies on strategy. In 2018, he launched Crosstown, which has pioneered a new approach to local news through data.

    Host: Emily Sheng

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

    Webcast: https://bluejeans.com/s/FVVU4/

    Location: Information Science Institute (ISI) - CR 689

    WebCast Link: https://bluejeans.com/s/FVVU4/

    Audiences: Everyone Is Invited

    Posted By: Peter Zamar

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

    Wed, Feb 05, 2020 @ 02:00 PM - 03:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Christopher Ré, Department of Computer Science at Stanford University

    Talk Title: If You Want to be Rich, Get a lot of Money: Theory and Systems for Weak Supervision

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

    Abstract: If you want to build a high-quality machine learning product, build a large, high-quality training set. At first glance, this seems as useful as the statement "if you want to be rich, get a lot of money." However, a key idea driving our work is that new theoretical and systems concepts including weak supervision, automatic data augmentation policies, and more, can enable engineers to build training sets more quickly and cost effectively. Along with state-of-the-art results on benchmarks, these concepts have allowed our group and collaborators to build a range of state-of-the-art applications including patient-care monitoring on electronic health records, automatic triage systems for radiologists, and enabling cardiologists to spot rare abnormalities in video MRI-along with widely used products from Apple and Google. This talk describes the theoretical and systems challenges that such applications create.

    On the machine-learning theory side, a key problem is estimating the quality and correlation of various sources of training data-”but without ground truth labels. This problem connects to classical questions about estimating the covariance of latent variable models. We describe our new techniques that solve this case and can even improve fully supervised methods for estimating the structure of graphical models.

    On the machine-learning systems side, this theory opens up new ways to build machine-learning systems. Here, we describe our recent work on systems that help engineers build and maintain machine learning products-without writing low-level code in frameworks like TensorFlow. These systems draw on recent ideas in machine learning, e.g., zero-code deep learning systems, and twists on classical data management ideas, e.g., schemas to separate the model, the supervision, and down-stream serving code.
    Much of this work is open source and available at http://snorkel.org or my website.



    Biography: Christopher (Chris) Ré is an associate professor in the Department of Computer Science at Stanford University who is affiliated with the Statistical Machine Learning Group and Stanford AI Lab. His recent work is to understand how software and hardware systems will change as a result of machine learning along with a continuing, petulant drive to work on math problems. Research from his group has been incorporated into scientific and humanitarian efforts, such as the fight against human trafficking, along with products from technology and enterprise companies. He cofounded a company, based on his research into machine learning systems, that was acquired by Apple in 2017. More recently, he cofounded SambaNova systems based, in part, on his work on accelerating machine learning. He received a SIGMOD Dissertation Award in 2010, an NSF CAREER Award in 2011, an Alfred P. Sloan Fellowship in 2013, a Moore Data Driven Investigator Award in 2014, the VLDB early Career Award in 2015, the MacArthur Foundation Fellowship in 2015, and an Okawa Research Grant in 2016. His research contributions have spanned database theory, database systems, and machine learning, and his work has won best paper at a premier venue in each area, respectively, at PODS 2012, SIGMOD 2014, and ICML 2016.

    Host: Paul Bogdan, pbogdan@usc.edu

    Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132

    Audiences: Everyone Is Invited

    Posted By: Talyia White

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  • AME Seminar

    Wed, Feb 05, 2020 @ 03:30 PM - 04:30 PM

    Conferences, Lectures, & Seminars


    Speaker: Pavlos P. Vlachos, Purdue

    Talk Title: Fluid Mechanics in Clinical Echocardiography

    Abstract: In this talk we will probe flows in cardiac disease using in-vivo measurements in clinical settings, and we will discuss how traditional experimental fluids mechanics tools can translate into clinical practice.

    Flows in the cardiovascular system manifest intrinsic complexity, which is often associated with diseased states. Imaging modalities such as ultrasound/echocardiography and phase-contrast MRI provide unique opportunities and challenges for flow measurements in patients. Currently, the relationship between clinical flow measurements and clinical diagnostic parameters is qualitative, and often is reliant on heuristics and non-physical assumptions.

    In this talk we will discuss how to overcome these limitations by integrating medical imaging with experimental fluid mechanics, in order to, ultimately, improve accuracy, robustness, and clinical diagnostic utility of these tools.

    Specifically, we will discuss how fluid mechanics can be used in the analysis of echocardiographic imaging for heart failure. We will show an improved approach for clinical implementation of EchoPIV (echocardiographic Particle Image Velocimetry) and a new method for the velocity reconstruction of Color-Doppler flow imaging. Finally, we will present a use-case in the analysis of fetal and neonatal echocardiograms of babies born with single ventricle (hypoplastic left heart syndrome). If time permits, some additional examples of application to 4D flow MRI will be presented.

    Host: AME Department

    Location: James H. Zumberge Hall Of Science (ZHS) - 159

    Audiences: Everyone Is Invited

    Posted By: Tessa Yao

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  • Theory Lunch

    Thu, Feb 06, 2020 @ 12:15 PM - 02:00 PM

    Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Kobbi Nissim, Georgetown University

    Talk Title: Legal Theorems of Privacy

    Abstract: There are significant gaps between legal and technical thinking around data privacy. Technical standards such as k-anonymity and differential privacy are described using mathematical language and strive for mathematical rigor whereas legal standards are not rigorous from a mathematical point of view and often resort to concepts such as de-identification and anonymization which they only partially define. As a result, arguments about the adequacy of technical privacy measures for satisfying legal privacy often lack rigor, and their conclusions are uncertain. The uncertainty is exacerbated by a litany of successful privacy attacks on privacy measures thought to meet legal expectations but then shown to fall short of doing so.

    We ask whether it is possible to introduce mathematical rigor into such analyses so as to make formal claims and prove "legal theorems" that technical privacy measures meet legal expectations. For that, we explore some of the gaps between these two very different approaches, and present initial strategies towards bridging these gaps. In particular, we focus on the concept of singling out from the EU's General Data Protection Regulation (GDPR). To capture this concept, we define a new type of privacy attack, predicate singling out, where an adversary finds a predicate matching exactly one row in a database with probability significantly better then a statistical baseline. We then argue that any data release mechanism that purports to "render anonymous" data under the GDPR should prevent predicate singling out. Hence, the concept has legal consequences as it can be used as a yardstick for arguing whether data release mechanisms meet the GDPR standard of data anonymization.


    Biography: Professor Kobbi Nissim is a McDevitt Chair at the department of Computer Science, Georgetown University and affiliated with Georgetown Law. Nissim's work is focused on the mathematical formulation and understanding of privacy. His work from 2003 and 2004 with Dinur and Dwork initiated rigorous foundational research of privacy and in 2006 he introduced differential privacy with Dwork, McSherry and Smith. Nissim was awarded the Caspar Bowden Privacy for research in Privacy Enhancing Technology in 2019, the Gödel Prize in 2017, IACR TCC Test of Time Awards in 2016 and in 2018, and the ACM PODS Alberto O. Mendelzon Test-of-Time Award in 2013.

    Host: Shaddin Dughmi

    Location: 213

    Audiences: Everyone Is Invited

    Posted By: Cherie Carter

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  • CS Distinguished Lecture: Karon MacLean (University of British Columbia) - Making Haptics and its Design Accessible

    Thu, Feb 06, 2020 @ 04:00 PM - 05:20 PM

    Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Karon MacLean, University of British Columbia, Canada

    Talk Title: Making Haptics and its Design Accessible

    Series: Computer Science Distinguished Lecture Series

    Abstract: Today's advances in tactile sensing and wearable, IOT and context-aware computing are spurring new ideas about how to configure touch-centered interactions in terms of roles and utility, which in turn expose new technical and social design questions. But while haptic actuation, sensing and control are improving, the difficulties of incorporating them into a real-world design process poses a major obstacle to adoption in everyday technology.

    In this talk I'll overview highlights chosen from of an ongoing effort to understand how to support haptic designers and end-users. These include online experimental design tools, DIY open sourced hardware and accessible means of creating, for example, expressive physical robot motions and evolve physically sensed expressive tactile languages, and major community-based studies of design practice.

    To accelerate design practice, we put our systems, designs and datasets online. A central and evolving piece of our larger openhaptics effort is Haptipedia, an expert-sourced, community-based browsable visualization of historical haptic inventions as a resource to future designers.

    This lecture satisfies requirements for CSCI 591: Research Colloquium.


    Biography: Karon MacLean is Professor in Computer Science at UBC, with degrees in Biology and Mechanical Engineering (BSc, Stanford; M.Sc. / Ph.D, MIT) and time spent as a professional robotics engineer (Center for Engineering Design, University of Utah) and haptics / interaction researcher (Interval Research, Palo Alto). At UBC since 2000, MacLean's research specializes in haptic (touch) interaction: cognitive, sensory and affective design for people interacting with the computation we touch, emote and move with and learn from, from robots to handheld devices and the situated environment. MacLean leads UBC's Designing for People interdisciplinary research cluster and CREATE graduate training program (25 researchers spanning 11 departments and 5 faculties - dfp.ubc.ca), is Special Advisor, Innovation and Knowledge Mobilization to UBC's Faculty of Science, and will co-chair ACM UIST (User Interface Software and Technology) in 2020.


    Host: Heather Culbertson

    Location: Henry Salvatori Computer Science Center (SAL) - 101

    Audiences: Everyone Is Invited

    Posted By: Computer Science Department

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  • Interviews Open Forum

    Thu, Feb 06, 2020 @ 04:30 PM - 05:30 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    Increase your preparedness for interviews by attending this professional development Q&A moderated by Viterbi Career Connections staff or Viterbi employer partners.
    For more information about Labs & Open Forums, please visit viterbicareers.usc.edu/workshops.

    Location: Ronald Tutor Hall of Engineering (RTH) - 211

    Audiences: All Viterbi

    Posted By: RTH 218 Viterbi Career Connections

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  • Protiviti Trojan Talk

    Thu, Feb 06, 2020 @ 06:30 PM - 08:00 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    Protiviti is a global consulting firm specializing in technology, business process improvement, analytics, risk, compliance, transaction services, and intern audit. We have been recognized for the 6th consecutive year as one of Fortune Magazine's 100 Best Companies to Work For.

    Do you?....
    Enjoy building and maintaining relationships?
    Need a challenge to keep you engaged and passionate about your work?
    Desire exposure and work experience beyond your major specialization?
    Thrive in fast-paced, dynamic, work environments?
    Seek diverse opportunities for career growth and advancement?
    Like to travel and experience new cities?

    A career in consulting might be for you! Stop by our Trojan Talk on Thursday, February 6th starting at 6:30 pm to meet our professionals and learn about a career at Protiviti! Food and drinks will be provided!

    - What majors are you recruiting for? ISE only - all levels
    - Can you offer Visa sponsorship? No we do not sponsor
    - Are you willing to hire a student on CTP or OPT? No we are unable to at this time

    Interested in opportunities at Protiviti? Follow the links below:
    - Full-time and entry level positions for juniors, seniors -- Visit https://www.protiviti.com/US-en/careers!
    - Opportunities for sophomores:
    Protiviti is hosting our annual Summer Leadership Conference in Los Angeles on June 5th, 2020! This one-day conference is a great opportunity for students to learn about Protiviti and a career in consulting, while developing professional and leadership skills.

    Participants will meet consultants at all levels of our organization, take part in a variety of team building and professional development activities to gain a better understanding of the consulting career path. Participants will also have the opportunity to interview for a summer 2021 Protiviti internship during the conference.

    If you are interested in applying for the Summer Leadership Conference, please submit an application, including your resume and unofficial transcript, by clicking HERE before February 28th: https://protiviti.recsolu.com/external/form/8upBxgiRcdEXoHv3jNmrGg

    Want to learn more about Protiviti? Check out our Instagram feed , our Careers Blog, and #MyProtivitiStory videos to see the latest firm happenings and hear from our people!

    Location: Seeley G. Mudd Building (SGM) - 101

    Audiences: Everyone Is Invited

    Posted By: RTH 218 Viterbi Career Connections

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  • Repeating EventGrammar Tutoring

    Fri, Feb 07, 2020 @ 10:00 AM - 12:00 PM

    Viterbi School of Engineering Student Affairs

    Workshops & Infosessions


    INDIVIDUAL GRAMMAR TUTORIALS
    Need help refining your grammar skills in your academic and professional writing? Meet one-on-one with professors from the Engineering Writing Program, work together on your grammar skills, and take your writing to the next level!

    ALL VITERBI UNDERGRADUATE AND GRADUATE STUDENTS WELCOME!
    Sign up here: http://bit.ly/grammaratUSC

    All sessions will be via Zoom.

    Questions? Contact helenhch@usc.edu

    Location: ZOOM

    Audiences: Graduate and Undergraduate Students

    View All Dates

    Posted By: Helen Choi

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  • NL Seminar-MACHINE LEARNING THROUGH THE INFORMATION BOTTLENECK

    Fri, Feb 07, 2020 @ 11:00 AM - 12:00 PM

    Information Sciences Institute

    Conferences, Lectures, & Seminars


    Speaker: Artemy Kolchinsky, Santa Fe Institute

    Talk Title: MACHINE LEARNING THROUGH THE INFORMATION BOTTLENECK

    Series: Natural Language Seminar

    Abstract: he information bottleneck IB has been proposed as a principled way to compress a random variable, while only preserving that information which is relevant for predicting another random variable. In recent times, the IB has been proposed and challenged as a theoretical framework for understanding why and how deep learning architectures achieve good performance. I will cover: 1. an introduction to the ideas behind IB, 2. methods for implementing information-theoretic compression in neural networks + some possible applications of such methods, 3. the current status of the IB theory of deep learning, 4. recently discovered caveats that arise for IB in machine learning scenarios.

    Biography: Artemy Kolchinsky is a postdoctoral fellow at the Santa Fe Institute (Santa Fe, NM). His work lies at the intersection of information theory, statistical physics, and machine learning. He is interested in using tools from statistical physics to derive fundamental bounds on the ability of real-world agents whether protocells, organisms, or computers to acquire and exploit information in adaptive ways.

    Host: Emily Sheng

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

    Webcast: https://bluejeans.com/298422226

    Location: Information Science Institute (ISI) - CR #1016

    WebCast Link: https://bluejeans.com/298422226

    Audiences: Everyone Is Invited

    Posted By: Peter Zamar

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

    Fri, Feb 07, 2020 @ 11:00 AM - 12:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Nikunj Mehta, Falkonry

    Talk Title: Discovering and Explaining Patterns in Industrial Multivariate Time Series Data

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

    Abstract: Complex assets and process units exhibit many different behaviors during the course of industrial operations. Identifying and removing sources of inefficiency in these operations is essential for advancing manufacturing and process operations. In this talk, we explain how classification as opposed to anomaly detection and forecasting is the essential machine learning problem for Industry 4.0. We explain the main challenges for these machine learning problems to motivate research directions. We then describe a signal processing pipeline and user interface for democratizing such machine learning and real-time processing.

    Biography: Dr. Nikunj founded Falkonry after realizing that very valuable operational data produced in industrial infrastructure goes mostly unutilized in the energy, manufacturing and transportation sectors. Falkonry has enabled companies to scale predictive operations. Falkonry has significantly improved their uptime, yield and quality. Prior to Falkonry, Dr. Mehta led software architecture and customer success for C3 IoT. Earlier, he led innovation teams at Oracle focused on database technology and led the creation of the IndexedDB standard for databases embedded inside all modern browsers. He has contributed to standards at both W3C and IETF, and is a member of the ACM.

    Host: Paul Bogdan, pbogdan@usc.edu

    Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132

    Audiences: Everyone Is Invited

    Posted By: Talyia White

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