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Events for February 09, 2022

  • Career & Internship Expo: Career Fair

    Wed, Feb 09, 2022 @ 10:00 AM - 03:00 PM

    Viterbi School of Engineering Career Connections

    Receptions & Special Events


    Viterbi Career Connections is excited to announce the Spring 2022 Career & Internship Fair will be hosted on-campus! This recruitment event allows students the opportunity to have brief conversations with recruiters about full-time employment, internships, and co-ops. Join additional activities such as Trojan Talks and Meet & Greets February 7th-8th.
    The Viterbi Career & Internship Expo is free and open to all students in the USC Viterbi School of Engineering. Don't forget your resume!

    For more information about the Expo: https://viterbicareers.usc.edu/careerexpo/

    Location: Epstein Family Plaza

    Audiences: All Viterbi Students

    Contact: RTH 218 Viterbi Career Connections

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  • Computer Science General Faculty Meeting

    Wed, Feb 09, 2022 @ 12:00 PM - 02:00 PM

    Computer Science

    Receptions & Special Events


    Bi-Weekly regular faculty meeting for invited full-time Computer Science faculty only. Event details emailed directly to attendees.

    Location: TBD

    Audiences: Invited Faculty Only

    Contact: Assistant to CS chair

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  • Center of Autonomy and AI, Center for Cyber-Physical Systems and the Internet of Things, and Ming Hsieh Institute Seminar Series

    Wed, Feb 09, 2022 @ 02:00 PM - 03:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Shahriar Nirjon, Department of Computer Science at the University of North Carolina at Chapel Hill

    Talk Title: Intermittent Learning on Harvested Energy

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

    Abstract: Years of technological advancements have made it possible for small, portable, electronic devices of today to last for years on battery power, and last forever - when powered by harvesting energy from their surrounding environment. Unfortunately, the prolonged life of these ultra-low-power systems poses a fundamentally new problem. While the devices last for years, programs that run on them become obsolete when the nature of sensory input or the operating conditions change. The effect of continued execution of such an obsolete program can be catastrophic. For example, if a cardiac pacemaker fails to recognize an impending cardiac arrest because the patient has aged or their physiology has changed, these devices will cause more harm than any good. Hence, being able to react, adapt, and evolve is necessary for these systems to guarantee their accuracy and response time. We aimed at devising algorithms, tools, systems, and applications that will enable ultra-low-power, sensor-enabled, computing devices capable of executing complex machine learning algorithms while being powered solely by harvesting energy. Unlike common practices where a fixed classifier runs on a device, we take a fundamentally different approach where a classifier is constructed in a manner that it can adapt and evolve as the sensory input to the system, or the application-specific requirements, such as the time, energy, and memory constraints of the system, change during the extended lifetime of the system.


    Biography: Dr. Shahriar Nirjon is an Assistant Professor of Computer Science at the University of North Carolina at Chapel Hill, NC. He is interested in Embedded Intelligence -“ the general idea of which is to make resource constrained real-time and embedded sensing systems capable of learning, adapting, and evolving. Dr. Nirjon builds practical cyber-physical systems that involve embedded sensors and mobile devices, mobility and connectivity, and mobile data analytics. His work has applications in the area of remote health and wellness monitoring, and mobile health. Dr. Nirjon received his Ph.D. from the University of Virginia, Charlottesville, and has won a number of awards including four Best Paper Awards at Mobile Systems, Applications and Services (MOBISYS 2014), the Real-Time and Embedded Technology and Applications Symposium (RTAS 2012), Distributed Computing in Sensor Systems (DCOSS '19), and Challenges in AI and Machine Learning for IoT (AIChallengeIoT '20). Dr. Nirjon is a recipient of NSF CAREER Award in 2021. Prior to UNC, Dr. Nirjon has worked as a Research Scientist in the Networking and Mobility Lab at the Hewlett-Packard Labs in Palo Alto, CA.

    Host: Pierluigi Nuzzo and Bhaskar Krishnamachari

    Webcast: https://usc.zoom.us/webinar/register/WN_zyIBh_1gQLmKpMJG0GyLxw

    Location: Online

    WebCast Link: https://usc.zoom.us/webinar/register/WN_zyIBh_1gQLmKpMJG0GyLxw

    Audiences: Everyone Is Invited

    Contact: Talyia White

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  • AME Seminar

    Wed, Feb 09, 2022 @ 03:30 PM - 04:30 PM

    Aerospace and Mechanical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Kristi Morgansen, University of Washington (AAE Chair)

    Talk Title: Integrated Sensing and Actuation for Robust Flight Systems

    Abstract: A fundamental element of effective operation of autonomous systems is the need for appropriate sensing and processing of measurements to enable desired system actions. Model-based methods provide a clear framework for careful proof of system capabilities but suffer from mathematical complexity and lack of scaling as probabilistic structure is incorporated. Conversely, learning methods provide viable results in probabilistic and stochastic structures, but they are not generally amenable to rigorous proof of performance. A key point about learning systems is that the results are based on use of a set of training data, and those results effectively lie in the convex hull of the training data. This presentation will focus on use of model-based nonlinear empirical observability criteria to assess and improving and bounding performance of learning pose (position and orientation) of rigid bodies from computer vision. A particular question to be addressed is what sensing data should be captured to best improve the existing training data. The particular tools to be leveraged here focus on the use of empirical observability gramian techniques being developed for nonlinear systems where sensing and actuation are coupled in such a way that the separation principle of linear methods does not hold. These ideas will be discussed relative to both engineering applications in the form of motion planning for range and bearing only navigation in autonomous vehicles, vortex position and strength estimation from pressure measurements on airfoils, and effective strain sensor placement on insect wings for inertial measurements.

    Biography: Kristi Morgansen received a BS and a MS in Mechanical Engineering from Boston University, respectively in 1993 and 1994, an S.M. in Applied Mathematics in 1996 from Harvard University and a PhD in Engineering Sciences in 1999 from Harvard University. Until joining the University of Washington, she was first a postdoctoral scholar then a senior research fellow in Control and Dynamical Systems at the California Institute of Technology. She joined the William E. Boeing Department of Aeronautics and Astronautics in the summer of 2002 as an assistant professor and is currently Professor and Chair of the department. She is also co-Director of the UW Space Policy and Research Center (UW SPARC) and is the Director of the Washington NASA Space Grant Consortium. She has received a number of awards, most recently Fellow of AIAA and member of the Washington State Academy of Sciences.

    Professor Morgansens research interests focus on nonlinear systems where sensing and actuation are integrated, stability in switched systems with delay, and incorporation of operational constraints such as communication delays in control of multi-vehicle systems. Applications include both traditional autonomous vehicle systems such as fixed-wing aircraft and underwater gliders as well as novel systems such as bio-inspired underwater propulsion, bio-inspired agile flight, human decision making, and neural engineering. The results of this work have been demonstrated in estimation and path planning in unmanned aerial vehicles with limited sensing, vorticity sensing and sensor placement on fixed wing aircraft, landing maneuvers in fruit flies, joint optimization of control and sensing in dynamical systems, and deconfliction and obstacle avoidance in autonomous systems and in biological systems including fish, insects, birds, and bats.

    Prof. Morgansens research focuses on guidance, navigation, control for autonomous underwater, surface, air and space systems. She is an advocate for project-based learning, inclusive engineering, multidisciplinary collaboration, and STEAM.

    More Info: https://usc.zoom.us/j/93987337017?pwd=MWd2dXBSL1FaR1RPaHNscjJ1NW80UT09

    Webcast: https://usc.zoom.us/j/93987337017?pwd=MWd2dXBSL1FaR1RPaHNscjJ1NW80UT09

    Location: James H. Zumberge Hall Of Science (ZHS) - 252

    WebCast Link: https://usc.zoom.us/j/93987337017?pwd=MWd2dXBSL1FaR1RPaHNscjJ1NW80UT09

    Audiences: Everyone Is Invited

    Contact: Tessa Yao

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  • KPMG Life Sciences Core Operations Information Session (Virtual)

    Wed, Feb 09, 2022 @ 04:00 PM - 05:00 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    KPMG's Life Sciences Core Operations practice focuses on delivering consulting projects for Life Sciences clients focused on process improvements or technology implementations in the Regulatory Affairs, Quality or Technical Operations function.

    Join to learn more - presentation will include an information session as well as the opportunity to have 1-on-1 chats with professionals from the practice.

    Eligible candidates will be pursuing Bachelors or Masters degrees in Engineering, Operations Analysis, Regulatory Affairs, Supply Chain, Business, or equivalent programs. Exposure to the pharmaceutical and/or medical device industry and experience with Regulatory Information Management (RIM) systems, Document Management systems, Pharmacovigilance systems and/or Quality Management Systems implementation using Computer Systems Validation (CSV), as well as experience in emerging technologies including Machine Learning, RPA, Data & Analytics is preferred.


    External employer-hosted events and activities are not affiliated with the USC Career Center. They are posted on Viterbi Career Connections because they may be of interest to members of the Viterbi community. Inclusion of any activity does not indicate USC sponsorship or endorsement of that activity or event. It is the participant's responsibility to apply due diligence, exercise caution when participating, and report concerns to vcareers@usc.edu.

    Location: RSVP HERE: https://app.brazenconnect.com/events/Rl9kl?utm_medium=Website&utm_source=Handshake+Events

    WebCast Link: https://app.brazenconnect.com/events/Rl9kl?utm_medium=Website&utm_source=Handshake+Events

    Audiences: Everyone Is Invited

    Contact: RTH 218 Viterbi Career Connections

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  • KPMG Life Sciences Core Operations Information Session (Virtual)

    Wed, Feb 09, 2022 @ 04:00 PM - 05:00 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    KPMG's Life Sciences Core Operations practice focuses on delivering consulting projects for Life Sciences clients focused on process improvements or technology implementations in the Regulatory Affairs, Quality or Technical Operations function.
    Join to learn more-presentation will include an information session as well as the opportunity to have 1-on-1 chats with professionals from the practice.
    Eligible candidates will be pursuing Bachelors or Masters degree in Engineering, Operations Analysis, Regulatory Affairs, Supply Chain, Business, or equivalent program. Exposure to the pharmaceutical and/or medical device industry and experience with Regulatory Information Management (RIM) systems, Document Management systems, Pharmacovigilance systems and/or Quality Management Systems implementation using Computer Systems Validation (CSV), as well as experience in emerging technologies including Machine Learning, RPA, Data & Analytics is preferred.
    External employer-hosted events and activities are not affiliated with the USC Career Center. They are posted on Viterbi Career Connections because they may be of interest to members of the Viterbi community. Inclusion of any activity does not indicate USC sponsorship or endorsement of that activity or event. It is the participant's responsibility to apply due diligence, exercise caution when participating, and report concerns to vcareers@usc.edu

    Location: Virtual, RSVP HERE: https://app.brazenconnect.com/events/Rl9kl?utm_medium=Website&utm_source=Handsha

    Audiences: Everyone Is Invited

    Contact: RTH 218 Viterbi Career Connections

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