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Events for November 01, 2023

  • Tsinghua Undergraduate Research Program - App Open

    Wed, Nov 01, 2023 @ 09:00 AM - 12:00 AM

    Viterbi School of Engineering Student Affairs

    University Calendar


    Live, Study and Research in Beijing this Summer! You are invited to apply to the USC Viterbi & Tsinghua University Undergraduate Summer Research Program! The Tsinghua Undergraduate Research Program allows Viterbi students to participate in research with faculty on-campus for the summer at Tsinghua University in Beijing, China. Students are assigned to a lab and have an assigned Tsinghua student partner. Participants work 30 hours a week doing hands-on research in their assigned lab. During the program students will gain exposure to China and Chinese culture with opportunities to learn more about the country, culture and research approaches. Program Highlights include: Welcome Reception & Campus Tour On-Campus, Dormitory-Style Accommodations 6-7 Weeks over the summer Stipend for visa, airfare, housing, and living expenses 30 Hours per week in research lab Program dates for Summer 2024 are July 1 – August 11, 2024. The application and letter of recommendation deadline is December 1, 2023 at 11:59 p.m. PST. For more information and to apply, please visit the program website.

    Location: Olin Hall of Engineering (OHE) -

    Audiences: Undergrad

    Contact: Alex Bronz

    Event Link: https://studenttravelabroad.usc.edu/index.cfm?FuseAction=Programs.ViewProgramAngular&id=10063

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  • CURVE Spring 2024 Application Now Open

    Wed, Nov 01, 2023 @ 09:00 AM - 12:00 AM

    Viterbi School of Engineering Student Affairs

    University Calendar


    Spring 2024 CURVE Fellowship Applications Open The Center for Undergraduate Research in Viterbi Engineering (CURVE) provides a centralized resource for undergraduate students to explore research opportunities in Viterbi early on in their undergraduate career. Students will be given the opportunity to gain experience on a faculty-led research project. Selected CURVE fellows will be provided with a stipend to aid students in the pursuit of research. CURVE will be offering a limited number of fellowship positions for the spring 2024 semester. Application for the 2024 spring semester is now open until Sunday, November 26, 2023. Priority is granted for first-time researchers who have not been previous recipients of the CURVE fellowship.  Please visit the CURVE website for additional details. For questions, please contact viterbi.studentservices@usc.edu

    Location: Olin Hall of Engineering (OHE) -

    Audiences: Undergrad

    Contact: Alex Bronz

    Event Link: https://viterbiundergrad.usc.edu/research/curve/

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  • Repeating EventCommunications Hub: Writing and Speaking for PhD Students - Drop In Hours

    Wed, Nov 01, 2023 @ 10:00 AM - 01:00 PM

    Viterbi School of Engineering Student Affairs

    Workshops & Infosessions


    Viterbi Ph.D. Students!
    Need help with academic and professional writing and speaking tasks? Viterbi faculty at the Hub provide one-on-one help with journal and conference articles, dissertations, fellowship applications, and career communications!
    Drop by RTH 222A on MWF 10am-1pm or make an online appointment via email at eishub@usc.edu.

    Location: Ronald Tutor Hall of Engineering (RTH) - 222A

    Audiences: Graduate

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    Contact: Helen Choi

    Event Link: https://sites.google.com/usc.edu/eishub/home

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  • CS Colloquium: Fei Miao - Learning and Control for Safety, Efficiency, and Resiliency of Embodied AI

    Wed, Nov 01, 2023 @ 11:00 AM - 12:00 PM

    Thomas Lord Department of Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Fei Miao, University of Connecticut

    Talk Title: Learning and Control for Safety, Efficiency, and Resiliency of Embodied AI

    Series: CS Colloquium

    Abstract: With rapid evolution of sensing, communication, and computation, integrating learning and control presents significant Embodied AI opportunities. However, current decision-making frameworks lack comprehensive understanding of the tridirectional relationship among communication, learning and control, posing challenges for multi-agent systems in complex environments. In the first part of the talk, we focus on learning and control with communication capabilities. We design an uncertainty quantification method for collaborative perception in connected autonomous vehicles (CAVs). Our findings demonstrate that communication among multiple agents can enhance object detection accuracy and reduce uncertainty. Building upon this, we develop a safe and scalable deep multi-agent reinforcement learning (MARL) framework that leverages shared information among agents to improve system safety and efficiency. We validate the benefits of communication in MARL, particularly in the context of CAVs in challenging mixed traffic scenarios. We incentivize agents to communicate and coordinate with a novel reward reallocation scheme based on Shapley value for MARL. Additionally, we present our theoretical analysis of robust MARL methods under state uncertainties, such as uncertainty quantification in the perception modules or worst-case adversarial state perturbations. In the second part of the talk, we briefly outline our research contributions on robust MARL and data-driven robust optimization for sustainable mobility. We also highlight our research results concerning CPS security. Through our findings, we aim to advance Embodied AI and CPS for safety, efficiency, and resiliency in dynamic environments.
     
    This lecture satisfies requirements for CSCI 591: Research Colloquium
     

    Biography: Fei Miao is Pratt & Whitney Associate Professor of the Department of Computer Science and Engineering, a Courtesy Faculty of the Department of Electrical & Computer Engineering, University of Connecticut, where she joined in 2017. She is affiliated to the Institute of Advanced Systems Engineering and Eversource Energy Center. She was a postdoc researcher at the GRASP Lab and the PRECISE Lab of Upenn from 2016 to 2017. She received Ph.D. degree and the Best Doctoral Dissertation Award in Electrical and Systems Engineering, with a dual M.S. degree in Statistics from the University of Pennsylvania in 2016. She received the B.S. degree in Automation from Shanghai Jiao Tong University in 2010. Her research focuses on multi-agent reinforcement learning, robust optimization, uncertainty quantification, and game theory, to address safety, efficiency, robustness, and security challenges of Embodied AI and CPS, for systems such as connected autonomous vehicles, sustainable and intelligent transportation systems, and smart cities.  Dr. Miao is a receipt of the NSF CAREER award and a couple of other awards from NSF. She received the Best Paper Award and Best Paper Award Finalist at the 12th and 6th ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS) in 2021 and 2015, Best paper Award at the 2023 AAAI DACC workshop, respectively.

    Host: Heather Culbertson

    Location: Ronald Tutor Hall of Engineering (RTH) - 115

    Audiences: Everyone Is Invited

    Contact: Melissa Ochoa

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  • AME Seminar

    Wed, Nov 01, 2023 @ 03:30 PM - 04:30 PM

    Aerospace and Mechanical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Nikhil Admal, University of Illinois Urbana-Champaign

    Talk Title: TBD

    Host: AME Department

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

    Webcast: https://usc.zoom.us/j/98121141178?pwd=VGEyaXVWYnRaazFYWUVhbVAycGVWQT09 Meeting ID: 981 2114 1178 Passcode: NhXrDOqQU8

    Location: Seaver Science Library (SSL) - 202

    WebCast Link: https://usc.zoom.us/j/98121141178?pwd=VGEyaXVWYnRaazFYWUVhbVAycGVWQT09 Meeting ID: 981 2114 1178 Passcode: NhXrDOqQU8

    Audiences: Everyone Is Invited

    Contact: Tessa Yao

    Event Link: https://ame.usc.edu/seminars/

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