Logo: University of Southern California

Events Calendar



Select a calendar:



Filter February Events by Event Type:



Events for February 20, 2024

  • PhD Thesis Proposal - Saghar Talebipour

    Tue, Feb 20, 2024 @ 01:30 AM - 03:00 PM

    Thomas Lord Department of Computer Science

    University Calendar


    PhD Thesis Proposal - Saghar Talebipour  
     
    Committee Members: Nenad Medvidovic (Chair), William G.J. Halfond, Chao Wang, Mukund Raghothaman, Sandeep Gupta  
     
    Date: Tuesday, February 20, 2024, 1:30 p.m. - 3:00 p.m. Location: EEB 349 
     
    Title: Automated Usage-based Mobile Application Testing via Artifact Reuse  
     
    Abstract: Writing and maintaining UI tests for mobile applications is both time-consuming and tedious. While decades of research have led to automated methods for UI test generation, these methods have largely focused on identifying crashes or maximizing code coverage. However, recent studies have emphasized the significance of usage-based tests targeting specific app functionalities and use cases. My research introduces novel automated testing techniques that make use of existing artifacts, such as tests from similar applications or video recordings of app operations. These approaches help us move closer to achieving the goal of automated usage-based testing of mobile applications.

    Location: Hughes Aircraft Electrical Engineering Center (EEB) - 349

    Audiences: Everyone Is Invited

    Contact: CS Events

    OutlookiCal
  • CSC/CommNetS-MHI Seminar: Yongduan Song

    Tue, Feb 20, 2024 @ 11:00 AM - 12:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Yongduan Song, Director, Research Institute for Artificial Intelligence | Chair Professor, School of Automation | Chongqing University

    Talk Title: Several critical issues in neural network driven control design and analysis

    Series: CSC/CommNetS-MHI Seminar Series

    Abstract:


    Neural networks (NN) and related learning algorithms are crucial components of artificial intelligence. The utilization of neural networks combined with learning algorithms for controller design has become a mainstream direction in the field of intelligent control. This talk will examine the typical NN-driven design approaches and expose several critical issues related to functionality and effectiveness of the NN-based control methods.




    Biography:


    Professor Yongduan Song is a Fellow of IEEE, Fellow of AAIA, Fellow of International Eurasian Academy of Sciences, and Fellow of Chinese Automation Association. He was one of the six Langley Distinguished Professors at National Institute of Aerospace (NIA), USA and registered professional engineer (USA). He is currently the dean of Research Institute of Artificial Intelligence at Chongqing University. Professor Song is the Editor-in-Chief of IEEE Transactions on Neural Networks and Learning Systems (TNNLS) and the founding Editor-in-Chief of the International Journal of Automation and Intelligence.




    Host: Dr Petros Ioannou, ioannou@usc.edu

    More Information: 2024.02.20 Seminar - Yongduan Song.pdf

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

    Audiences: Everyone Is Invited

    Contact: Miki Arlen

    OutlookiCal
  • CS Colloquium - Krishna Kant Chintalapudi (Microsoft Research Redmond) - "Leveling up Next Gen Xbox User Experience with Neural Networks and Sound"

    Tue, Feb 20, 2024 @ 11:00 AM - 12:00 PM

    Thomas Lord Department of Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Krishna Kant Chintalapudi, Principal Researcher, Microsoft Research Redmond (MSR)

    Talk Title: Leveling up Next Gen Xbox User Experience with Neural Networks and Sound

    Abstract: This talk presents two groundbreaking innovations in enhancing the gaming experience on Next-Gen Xbox platforms - ADR-X (NSDI 2024) and Ekho (SIGCOMM 2023). ADR-X, is a neural network-assisted wireless link rate adaptation technique for compute-constrained embedded gaming devices. It uses a meticulously crafted NN based contextual bandit that leverages existing communication theory domain knowledge. This allows ADR-X to perform at par with state-of-the-art reinforcement learning techniques such as PPO while also running 100× faster. Ekho introduces a novel approach to synchronizing cloud gaming media over the internet - crucial for immersive gameplay. By embedding faint, human-inaudible pseudo-noise markers into game audio and detecting them through player microphones, Ekho accurately measures and compensates for inter-stream delays.
     
    This lecture satisfies requirements for CSCI 591: Research Colloquium. 

    Biography: Dr. Krishna Kant Chintalapudi is a Principal Researcher in the Networking Research Group at Microsoft Research Redmond (MSR). His research interests span AI/ML, Networking & Systems, Video Analytics, AR/VR and Internet of Things. He has published more than 50 papers in reputed international conferences and journals which have been cited over 8000 times and he holds over 30 patents granted by USPTO. Krishna graduated from the University of Southern California with a Phd in Computer Science in 2006. Prior to joining MSR, Krishna was a Senior Research Engineer at Bosch Research and Technology Center in Palo Alto, CA, USA.
     

    Host: Ramesh Govindan

    Location: Hedco Neurosciences Building (HNB) - 107

    Audiences: Everyone Is Invited

    Contact: CS Events

    OutlookiCal
  • CS Colloquium - Pavithra Prabhakar (Kansas State University) - Safety Analysis of AI-enabled Cyber-Physical Systems (CPS): A Formal Approach

    Tue, Feb 20, 2024 @ 02:00 PM - 03:00 PM

    Thomas Lord Department of Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Prof. Pavithra Prabhakar, Kansas State University

    Talk Title: Safety Analysis of AI-enabled Cyber-Physical Systems (CPS): A Formal Approach

    Abstract: AI-based components have become an integral part of Cyber-Physical Systems enabling transformative functionalities. With the ubiquitous use of Machine Learning components in perception, control and decision making in safety critical application domains such as automotive and aerospace, rigorous analysis of these systems has become imperative toward real-world deployment. In this talk, we will present a formal approach to verifying the safety of AI-enabled CPS. We consider a closed-loop system consisting of a dynamical system model of the physical plant and a neural network model of the perception/control modules and analyze the safety of this system through reachable set computation. 
     
     
    One of the main challenges with reachable set computation of neural network-controlled CPS is the scalability of the methods to large networks and complex dynamics. We present a novel abstraction technique for neural network size reduction that provides soundness guarantees for safety analysis and indicates a promising direction for scalable analysis of the closed-loop system.  Specifically, our abstraction consists of constructing a simpler neural network with fewer neurons, albeit with interval weights called interval neural network (INN), which over-approximates the output range of the given neural network. We present two methods for computing the output range analysis problem on the INNs, one by reducing it to solving a mixed integer linear programming problem, and the other a symbolic computation method using a novel data structure called the interval star set. Our experimental results highlight the trade-off between the computation time and the precision of the computed output set. We will discuss other foundational questions on neural network size reduction by exploring the notion of equivalence and approximate equivalence. We will conclude by pointing to ongoing work on incorporating a camera model along with a neural network for perception in the closed-loop system framework.
     
     
    This lecture satisfies requirements for CSCI 591: Research Colloquium.

    Biography: Pavithra Prabhakar is professor in the department of computer science, and the Peggy and Gary Edwards Chair in Engineering at Kansas State University. She is currently serving the National Science Foundation as a Program Director in the Software and Hardware Foundations Cluster in the Computer and Information Science and Engineering Directorate, where she manages formal methods and verification portfolio. Specifically, she leads the Formal Methods in the Field  (FMitF) program, has been a founding program director for the Safe Learning Enabled Systems (SLES) program and is a cognizant program director for the Foundations of Robotics Research (FRR) and the Cyber-Physical Systems (CPS) program. 
     
     
    She obtained her doctorate in computer science and a master\'s degree in applied mathematics from the University of Illinois at Urbana-Champaign, followed by a CMI postdoctoral fellowship at the California Institute of Technology. Prior to coming to K-State, she spent four years at the IMDEA Software Institute in Spain as a tenure-track assistant professor. She is the recipient of a Marie Curie Career Integration Grant from the European Union (2014), an NSF CAREER Award (2016), an ONR Young Investigator Award (2017), NITW distinguished young alumnus award (2021), and an Amazon Research Award (2022).

    Host: Jyotirmoy Deshmukh

    Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248

    Audiences: Everyone Is Invited

    Contact: CS Events

    OutlookiCal
  • Interview Success: How to Make a Lasting Impression

    Tue, Feb 20, 2024 @ 03:00 PM - 04:00 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    THIS EVENT WILL BE HOSTED HYBRID: IN-PERSON & ONLINE SIMULTANEOUSLY
    Increase your preparedness for interviews by attending this professional development Q&A moderated by Viterbi Career Connections staff or Viterbi employer partners.
    Zoom link: https://usc.zoom.us/meeting/register/tJYkdOGsrD4tHNx6_NKmjnra86aHqsf2Xpsk
    For more information about all workshops, please visit viterbicareers.usc.edu/workshops.

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

    Audiences: All Viterbi

    Contact: RTH 218 Viterbi Career Connections

    Event Link: https://usc.zoom.us/meeting/register/tJYkdOGsrD4tHNx6_NKmjnra86aHqsf2Xpsk

    OutlookiCal
  • Epstein Institute, ISE 651 Seminar Class

    Tue, Feb 20, 2024 @ 03:30 PM - 04:50 PM

    Daniel J. Epstein Department of Industrial and Systems Engineering

    Conferences, Lectures, & Seminars


    Speaker: Prof. Jay Lee, Mork Family Department of Chemical Engineering and Materials Science, USC Viterbi

    Talk Title: Role of Process Systems Engineering in Decarbonization and Energy Transition

    Host: Prof. Maged Dessouky

    More Information: February 20, 2024.pdf

    Location: Social Sciences Building (SOS) - SOS Building, B2

    Audiences: Everyone Is Invited

    Contact: Grace Owh

    OutlookiCal
  • DEN@Viterbi: How to Apply Virtual Info Session

    Tue, Feb 20, 2024 @ 05:00 PM - 06:00 PM

    DEN@Viterbi, Viterbi School of Engineering Graduate Admission

    Workshops & Infosessions


    Join USC Viterbi representatives for a step-by-step guide and tips for how to apply for formal admission into a Master\'s degree or Graduate Certificate program. The session is intended for individuals who wish to pursue a graduate degree program completely online via USC Viterbi\'s flexible online DEN@Viterbi delivery method. Attendees will have the opportunity to connect directly with USC Viterbi representatives and ask questions about the admission process throughout the session. 

    WebCast Link: https://uscviterbi.webex.com/weblink/register/r77484ac6f88e1bec0d1bcff5ef8c6c3e

    Audiences: Everyone Is Invited

    Contact: Corporate & Professional Programs

    Event Link: https://uscviterbi.webex.com/weblink/register/r77484ac6f88e1bec0d1bcff5ef8c6c3e

    OutlookiCal