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Events for April 29, 2024

  • Repeating EventAircraft Accident Investigation AAI 24-4

    Mon, Apr 29, 2024 @ 08:00 AM - 04:00 PM

    Aviation Safety and Security Program

    University Calendar


    The course is designed for individuals who have limited investigation experience. All aspects of the investigation process are addressed, starting with preparation for the investigation through writing the final report. It covers National Transportation Safety Board and International Civil Aviation Organization (ICAO) procedures. Investigative techniques are examined with an emphasis on fixed-wing investigation. Data collection, wreckage reconstruction, and cause analysis are discussed in the classroom and applied in the lab.
    The USC Aircraft Accident Investigation lab serves as the location for practical exercises. Thirteen aircraft wreckages form the basis of these investigative exercises. The crash laboratory gives the student an opportunity to learn the observation and documentation skills required of accident investigators. The wreckage is examined and reviewed with investigators who have extensive actual real-world investigation experience. Examination techniques and methods are demonstrated along with participative group discussions of actual wreckage examination, reviews of witness interview information, and investigation group personal dynamics discussions.

    Location: WESTMINSTER AVENUE BUILDING (WAB) - Unit E

    Audiences: Everyone Is Invited

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    Contact: Daniel Scalese

    Event Link: https://avsafe.usc.edu/wconnect/CourseStatus.awp?&course=24AAAI4

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  • Repeating EventSafety Management for Aviation Maintenance MAINT 24-2

    Mon, Apr 29, 2024 @ 08:00 AM - 04:00 PM

    Aviation Safety and Security Program

    University Calendar


    This course provides supervisors with aviation safety principles and practices needed to manage the problems associated with aircraft maintenance operations. In addition, it prepares attendees to assume safety responsibilities in their areas of operation. It does not teach aircraft maintenance and assumes the attendee has a maintenance background.

    Location: Century Boulevard Building (CBB) - 920

    Audiences: Everyone Is Invited

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    Contact: Daniel Scalese

    Event Link: https://avsafe.usc.edu/wconnect/CourseStatus.awp?&course=24AMAINT2

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  • Computational Science Distinguished Seminar Series

    Mon, Apr 29, 2024 @ 09:30 AM - 10:30 AM

    USC School of Advanced Computing

    Conferences, Lectures, & Seminars


    Speaker: Vahid Tarokh, Duke University

    Talk Title: Representation Learning, Prediction, and Sampling of Extreme Events

    Abstract: Understanding the joint distribution of simultaneous extremes in the multi-dimensional scenario may be important in various disciplines such as medicine, environmental science, engineering, and finance. For example, how are extreme weather patterns related in geographical areas or how do extremes of different financial instruments relate? However, extreme events are rare in occurrence by definition and the traditional tools of statistical analysis often fail to apply in this regime. In this talk, we discuss some of our recent contributions [1,2,3,4,5] to development of efficient computational solutions including various novel neural network architectures for the modeling, sampling, and inference of high dimensional extreme value distributions. [1] Yang, H., Hasan, A., Ng, Y. and Tarokh, V.,  Neural McKean-Vlasov Processes: Distributional Dependence in Diffusion Processes,  27th International Conference on Artificial Intelligence and Statistics (AISTATS),  May 2024. [2] A. Hasan, Y. Ng, J. Blanchet, and V. Tarokh, “Representation Learning for Extremes”, Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS) Workshop on Heavy Tails in Machine Learning, Dec. 2023. [3] Ng, Y., Hasan, A., and Tarokh, V., Inference and Sampling for Archimax Copulas, Conference on Neural Information Processing System (NeurIPS), Dec. 2022. [4] Hasan, A., Elkhalil, K., Ng, Y., Pereira, J.M., Farsiu, S., Blanchet, J., and Tarokh, V., Modeling Extremes with d-max-decreasing Neural Networks, Conference on Uncertainty in Artificial Intelligence (UAI), Aug. 2022. [5] Yuting Ng, Ali Hasan, Khalil Elkhalil, and Vahid Tarokh, Generative Archimedean Copulas, 37th Conference on Uncertainty in Artificial Intelligence (UAI), July 2021

    Biography: Vahid Tarokh worked at AT&T Labs-Research until August 2000. In September 2000, he joined the Massachusetts Institute of Technology (MIT) as an Associate Professor of Electrical Engineering and Computer Science. In June 2002, he joined Harvard University as a Gordon McKay Professor of Electrical Engineering and Hammond Vinton Hayes Senior Research Fellow. He was named Perkins Professor of Applied Mathematics in 2005. In Jan 2018, He joined Duke University, as the Rhodes Family Professor of Electrical and Computer Engineering, Bass Connections Endowed Professor, and Professor of Computer Science, and Mathematics. From Jan 2018 to May 2018, He was a Gordon Moore Distinguished Scholar at the California Institute of Technology (CALTECH). During Jan 2019-Dec 2022, he served as a Microsoft Data Science Investigator at Duke University.

    Host: The School of Advanced Computing

    More Info: https://sac.usc.edu/events/?hash=1m3nCA4M337

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

    Audiences: Everyone Is Invited

    Contact: Tessa Yao

    Event Link: https://sac.usc.edu/events/?hash=1m3nCA4M337

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