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Events for April 07, 2022
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AUCA Spring 2022 Career Fair: Technology Session Industrial Sharing Workshops and Employer Recruitment Talks (Virtual)
Thu, Apr 07, 2022 @ 05:30 AM - 07:30 PM
Viterbi School of Engineering Career Connections
Workshops & Infosessions
Location: Zoom | Length: 2 hrs/ session (2-4 employers/session)
Highlights:
-> Learn in-depth industry knowledge and skills through workshop topics featuring a variety of industries
-> Discover different career tracks in certain industries and learn how to land a job
-> Speak to certain employer representatives directly in a 30-minute virtual employer talk in separate Zoom breakout rooms after the workshop, and share your resume!
RSVP Link: http://aucaevents.mikecrm.com/cDdwTCP
*Spots are limited. Please register at your earliest convenience.
External employer-hosted events and activities are not affiliated with the USC Viterbi Career Connections Office. 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.eduLocation: RSVP in Viterbi Career Gateway
Audiences: Everyone Is Invited
Contact: RTH 218 Viterbi Career Connections
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McKinsey & Company Info Session – Specialized Roles (Virtual)
Thu, Apr 07, 2022 @ 07:00 AM - 08:00 PM
Viterbi School of Engineering Career Connections
Workshops & Infosessions
Join us for an information session to learn more about who we are, what we do, and the broad range of opportunities at McKinsey & Company! Please register for the event here:
https://mckinsey.avature.net/events/Rsvp/?folderId=62474
External employer-hosted events and activities are not affiliated with the USC Viterbi Career Connections Office. 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.eduLocation: RSVP in Viterbi Career Gateway
Audiences: Everyone Is Invited
Contact: RTH 218 Viterbi Career Connections
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CS Undergraduate Web Registration Live Chat AssistanceThu, Apr 07, 2022 @ 09:00 AM - 09:30 AM
Thomas Lord Department of Computer Science
Student Activity
If you are a CS undergraduate with a web registration permit time of 9am today and are having difficulty with web registration, the advisement staff will be available from 9:00am - 9:30am to help troubleshoot your registration questions and issues. Chat with us at https://www.cs.usc.edu/chat/
Audiences: Undergrad
Contact: USC Computer Science
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Admitted Student Explore USC #2
Thu, Apr 07, 2022 @ 09:00 AM - 02:00 PM
Viterbi School of Engineering Undergraduate Admission
Workshops & Infosessions
We are thrilled to finally be able to meet you on campus at one of our admitted student events. During the month of April, we have seven weekday events (each called Explore USC), as well as one full-day program (called Admitted Students Day) which is scheduled for a Sunday. Please only register for one event, either an Explore USC event during the week, or the Admitted Students Day on the weekend.
Explore USC includes a Viterbi School overview, Faculty discussion from your major, lab/facility tour, lunch, and many opportunities to engage with current students.
Register here!Audiences: Everyone Is Invited
Contact: Viterbi Admission
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CS Colloquium: Geoff Pleiss (Columbia University) - Bridging the Gap Between Deep Learning and Probabilistic Modeling
Thu, Apr 07, 2022 @ 11:00 AM - 12:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Geoff Pleiss , Columbia University
Talk Title: Bridging the Gap Between Deep Learning and Probabilistic Modeling
Series: CS Colloquium
Abstract: Deep learning excels with large-scale unstructured data - common across many modern application domains - while probabilistic modeling offers the ability to encode prior knowledge and quantify uncertainty - necessary for safety-critical applications and downstream decision-making tasks. I will discuss examples from my research that bridge the gap between these two learning paradigms. The first half will show that insights from deep learning can improve the practicality of probabilistic models. I will discuss work that scales Gaussian process regression, a common probabilistic model, to datasets two orders of magnitude larger than previously reported. The second half will show that probabilistic methods can improve our understanding of deep learning. I will demonstrate that Gaussian process theory uncovers new insights about the effects of width and depth in neural networks. I will conclude with ongoing efforts to quantify neural network uncertainty, develop new inductive biases, and other work at the intersection of deep learning and probabilistic modeling.
This lecture satisfies requirements for CSCI 591: Research Colloquium
Biography: Geoff Pleiss is a postdoctoral researcher at Columbia University, hosted by John Cunningham, with affiliations in the Department of Statistics and the Zuckerman Institute. He obtained his Ph.D. in Computer Science from Cornell University, advised by Kilian Weinberger, and his B.Sc. from Olin College of Engineering. His research interests are broadly situated in machine learning, including neural networks, Gaussian processes, uncertainty quantification, and scalability. Geoff is also the co-founder and maintainer of the GPyTorch software framework.
Host: Robin Jia
Location: Olin Hall of Engineering (OHE) - 132
Audiences: By invitation only.
Contact: Assistant to CS chair
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Virtual First-Year Admission Information Session
Thu, Apr 07, 2022 @ 11:00 AM - 12:00 PM
Viterbi School of Engineering Undergraduate Admission
Workshops & Infosessions
Our virtual information session is a live presentation from a USC Viterbi admission counselor designed for high school students and their family members to learn more about the USC Viterbi undergraduate experience. Our session will cover an overview of our undergraduate engineering programs, the application process, and more on student life. Guests will be able to ask questions and engage in further discussion toward the end of the session.
Register Here!
Audiences: Everyone Is Invited
Contact: Viterbi Admission
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Astani Civil and Environmental Engineering Seminar
Thu, Apr 07, 2022 @ 12:30 PM - 01:30 PM
Sonny Astani Department of Civil and Environmental Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Jiaqi Ma, Assoc Director, UCLA Institute of Transportation Studies, University of California, Los Angeles
Talk Title: OpenCDA: An Open Cooperative Driving Automation Research Framework
Abstract: This presentation introduces OpenCDA, an open co-simulation-based research engineering framework integrated with prototype cooperative driving automation (CDA, SAE J3216) pipelines that contains perception, localization, planning, control, and V2X communication modules. The purpose of the framework is to take an integrated approach to CDA research that considers closed-loop autonomy to investigate the performance of automated driving components driven by conventional and AI algorithms and their impacts on resultant vehicular and traffic behavior under various environments. It not only enables CDA studies in a CARLA -SUMO co-simulation environment but also provides rich research pipelines (i.e., open-source codes for basic and advanced CDA modules) and training-testing datasets. It supports various levels and categories of information sharing and cooperation between automated vehicles in simulation testing. OpenCDA also offers benchmark testing scenarios, baseline maps, state-of-the-art benchmark algorithms, and selected evaluation metrics. Two recent research on cooperative perception (i.e., OpenCOOD) and cooperative vehicle platooning are discussed to show how OpenCDA enables cutting-edge CDA research.
Biography: Dr. Jiaqi Ma is an Associate Professor at the UCLA Samueli School of Engineering and Associate Director UCLA Institute of Transportation Studies. He has led and managed many research projects funded by U.S. DOT, NSF, state DOTs, and other federal/state/local programs covering areas of smart transportation systems, such as vehicle-highway automation, Intelligent Transportation Systems (ITS), connected vehicles, shared mobility, and large-scale smart system modeling and simulation, and artificial intelligence and advanced computing applications in transportation. He is an Associate Editor of the IEEE Open Journal of Intelligent Transportation Systems and Journal of Intelligent Transportation Systems. He is Member of the Transportation Research Board (TRB) Standing Committee on Vehicle-Highway Automation, Member of TRB Standing Committee on Artificial Intelligence and Advanced Computing Applications, Member of American Society of Civil Engineers (ASCE) Connected & Autonomous Vehicles Impacts Committee, Co-Chair of the IEEE ITS Society Technical Committee on Smart Mobility and Transportation 5.0.
Host: Dr. Jim Moore and Dr. Ketan Savla
More Info: https://usc.zoom.us/j/91873923659 Meeting ID: 918 7392 3659
Webcast: https://usc.zoom.us/j/91873923659 Meeting ID: 918 7392 3659 Pass: 975701Location: Michelson Center for Convergent Bioscience (MCB) - 101
WebCast Link: https://usc.zoom.us/j/91873923659 Meeting ID: 918 7392 3659 Pass: 975701
Audiences: Everyone Is Invited
Contact: Evangeline Reyes
Event Link: https://usc.zoom.us/j/91873923659 Meeting ID: 918 7392 3659
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DEI Committee Meeting
Thu, Apr 07, 2022 @ 02:00 PM - 03:00 PM
Thomas Lord Department of Computer Science
Receptions & Special Events
Bi-Weekly DEI Committee meeting for invited full-time Computer Science faculty only. Event details emailed directly to attendees.
Audiences: Invited Faculty Only
Contact: Assistant to CS chair
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CS Colloquium: Hussein Sibai (UC Berkeley) - Towards Physics-aware Trustworthy Autonomy
Thu, Apr 07, 2022 @ 02:00 PM - 03:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Hussein Sibai , UC Berkeley
Talk Title: Towards Physics-aware Trustworthy Autonomy
Series: CS Colloquium
Abstract: Designing trustworthy autonomous systems is a looming challenge in several domains. Symbolic reasoning and verification can complement purely data-driven approaches by exploiting knowledge of structure and code, providing rigorous safety assurances, explaining why designs work, and helping find edge-cases quickly. In this talk, I will discuss recent results that use knowledge about physical laws, such as symmetries, to boost the scalability of formal verification of autonomous systems. The boosting benefits both data-driven and model-based analysis. My tool SceneChecker embodies these algorithms and data structures that use knowledge of symmetries to save verification algorithms from repeating expensive reachability computations. It implements a counterexample-guided abstraction-refinement (CEGAR) verification algorithm that compresses models by combining symmetric states. SceneChecker has been successful in verifying complex scenarios involving ground and aerial vehicles. In the second half, I will present results developed using notions from topological entropy to relate knowledge of physical laws governing a system with data requirements in solving estimation and verification problems. These results can give physics-aware lower-bounds that can guide future autonomy design processes.
This lecture satisfies requirements for CSCI 591: Research Colloquium
Biography: Hussein Sibai is a Postdoctoral Scholar at UC Berkeley, advised by Murat Arcak and Sanjit Seshia. He obtained his Ph.D. in Electrical and Computer Engineering from the University of Illinois Urbana-Champaign (UIUC) in December 2021, advised by Sayan Mitra. He received his bachelor's degree in Computer and Communication Engineering from the American University of Beirut and a master's degree in Electrical and Computer Engineering from UIUC. His research interests are in formal methods, control theory, and machine learning. Hussein has won the best poster award in HSCC 2018 and best paper nominations at HSCC 2017 and ATVA 2019. His work has been recognized by the Rambus fellowship, the Ernest A. Reid fellowship, the MAVIS Future Faculty fellowship, and the ACM SIGBED gold medal for the graduate category in the student research competition in CPS Week 21.
Host: Jyo Deshmukh
Location: Ronald Tutor Hall of Engineering (RTH) - 526
Audiences: By invitation only.
Contact: Assistant to CS chair
