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Events for the 3rd week of April

  • USC Admitted Student Day

    Sun, Apr 10, 2022

    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.

    Admitted Student Day includes a Viterbi School overview, Faculty discussion from your major, student organization and design team displays, and many opportunities to engage with current students.


    Register here!

    Audiences: Everyone Is Invited

    Contact: Viterbi Admission

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  • Repeating EventCS Undergraduate Web Registration Live Chat Assistance

    Mon, Apr 11, 2022 @ 09:00 AM - 09:30 AM

    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

    View All Dates

    Contact: USC Computer Science

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  • ECE-EP Seminar - Jie Gu, Monday, April 11th at 9am via Zoom

    Mon, Apr 11, 2022 @ 09:00 AM - 10:00 AM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Jie Gu, Northwestern University

    Talk Title: Efficient On-chip Neural Architecture and Data Processing in the Era of Domain-specific Computing and AI

    Abstract: In this new era of data-driven domain-specific computing, the integrated circuits, serving as the cornerstones of modern electronic devices, are facing tremendous challenges in meeting the ever-growing data processing demand under staggering technology improvement. It is clear that conventional Von-Neumann architecture is no longer sufficient for the ubiquitous AI and many newly-arrived complex computing tasks. As a result, it is critical to look for new computing architecture that delivers the most efficient computing and data processing solutions. In this talk, I will first discuss our recent developments of a special "neural CPU" processor at the conjunction of Von-Neumann and deep learning architectures to establish a new computing platform where general-purpose computing is incorporated into the framework of deep learning accelerators achieving significant end-to-end performance enhancement and data movement reduction. Second, I will discuss efficient data processing solutions for domain-specific computing using examples of a sparse convolutional neural network accelerator for 3D/4D point-cloud image classification and efficient data processing for wirelessly powered human machine interface System-on-Chip (SoC) with embedded machine learning capabilities. Demonstrations of test chips using standard CMOS process will be used to show the benefits of the proposed solutions in comparison with the conventional implementations.

    Biography: Jie Gu is currently an associate professor in Northwestern University. He received his B.S. degree from Tsinghua University, M.S. degree from Texas A&M University and Ph.D. degree from University of Minnesota. From 2008 to 2010, he was with Texas Instruments, Dallas, TX on research and developments of ultra-low voltage mobile processors for smartphones. From 2011 to 2014, he was with Maxlinear leading developments of home multi-media broadband SoC chips. He joined ECE department in Northwestern University from 2015 working on novel circuit and architecture for low power microprocessors and machine learning accelerators. He is a recent recipient of NSF CAREER award.

    Host: ECE-Electrophysics

    More Info: https://usc.zoom.us/j/93576256328?pwd=OUlzMFYxVzVTY1cwNit5NFR6Nmdmdz09

    More Information: Jie Gu Flyer.pdf

    Audiences: Everyone Is Invited

    Contact: Marilyn Poplawski

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  • CAIS Seminar: Rayid Ghani (Carnegie Mellon University) - Practical Lessons and Challenges in Building Fair and Equitable AI/ML Systems

    Mon, Apr 11, 2022 @ 11:00 AM - 12:00 PM

    Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Rayid Ghani, Carnegie Mellon University

    Talk Title: Practical Lessons and Challenges in Building Fair and Equitable AI/ML Systems

    Series: USC Center for Artificial Intelligence in Society (CAIS) Seminar Series

    Abstract: As organizations become more aware of the need to build ML/AI systems that result in fair and equitable outcomes, they have started to struggle with operationalizing that need. In this talk, I'll discuss lessons learned over the past few years working with various government agencies and non-profits across health, criminal justice, social services, education, and economic & workforce development on how those organizations view this challenge, how they're attempting to design ML/AI systems, and what gaps exist in the work that Fair ML researchers have been producing. I'll also discuss some examples of methods and tools that were useful in those collaborations and resulted in more equitable impact through the use of ML.

    Register in advance for this webinar at:

    https://usc.zoom.us/webinar/register/WN_zr43DpG2SKaIj-rspOahZA

    After registering, attendees will receive a confirmation email containing information about joining the webinar.

    This lecture satisfies requirements for CSCI 591: Research Colloquium.


    Biography: Rayid Ghani is a Professor in Machine Learning and Public Policy at Carnegie Mellon University focused on developing and using AI/Machine Learning/Data Science to help tackle large public policy and societal challenges in a fair and equitable manner. Among other areas, Rayid works with governments and non-profits in policy areas such as health, criminal justice, education, public safety, economic development, and urban infrastructure. Before joining Carnegie Mellon University, Rayid was the Founding Director of the Center for Data Science & Public Policy, Research Associate Professor in Computer Science, and a Senior Fellow at the Harris School of Public Policy at the University of Chicago. Previously, Rayid was the Chief Scientist of the Obama 2012 Election Campaign.


    Host: USC Center for Artificial Intelligence in Society (CAIS)

    Webcast: https://usc.zoom.us/webinar/register/WN_zr43DpG2SKaIj-rspOahZA

    Location: Online - Zoom Webinar

    WebCast Link: https://usc.zoom.us/webinar/register/WN_zr43DpG2SKaIj-rspOahZA

    Audiences: Everyone Is Invited

    Contact: Computer Science Department

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  • Discovering Your Passion: A Conversation with Elizabeth Spayde-Barnes (Virtual)

    Mon, Apr 11, 2022 @ 03:00 PM - 04:00 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    Interested in what it's like to be a female engineer at the intersection of technology and media? Hear from our QA Engineer and recent DTC Hackathon runner-up Elizabeth Spayde-Barnes as she shares her passions for her work and how she got to where she is. Hosted by Discovery+

    Register Here: https://bit.ly/3qMJGGc
    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.edu

    Location: Virtual. RSVP Link in the event description.

    Audiences: Everyone Is Invited

    Contact: RTH 218 Viterbi Career Connections

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  • Tesla X FSAE Information Session: Vehicle Software

    Mon, Apr 11, 2022 @ 03:00 PM - 04:00 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    Tesla X FSAE Information Session: Vehicle Software

    Date: April 11, 2022 @ 3:00 to 4:00 PM PDT

    Special Offer: Attendees will have a chance to win $25 Uber Eats Gift Card!
    Registration: Register Here!
    https://forms.office.com/Pages/ResponsePage.aspx?id=9MUmkNCGn0u9ObfU0PtGdG9a0mm6j6BFvW5CeQngudlUMzA4WFM3WkJMRlhQUDhQVjlYS1RYUlJKRi4u

    Make a difference from day one at Tesla. Our interns take on high-impact projects,
    supported by one-on-one mentorship, hands-on learning and career development
    programming.




    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.edu

    Location: Virtual

    Audiences: Everyone Is Invited

    Contact: RTH 218 Viterbi Career Connections

    OutlookiCal
  • Repeating EventCS Undergraduate Web Registration Live Chat Assistance

    Tue, Apr 12, 2022 @ 09:00 AM - 09:30 AM

    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

    View All Dates

    Contact: USC Computer Science

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  • Repeating EventVirtual First-Year Admission Information Session

    Tue, Apr 12, 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

    View All Dates

    Contact: Viterbi Admission

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  • Remarkable Trajectory Lecture: Paul S. Rosenbloom (USC) - From Designing Minds to Mapping Disciplines

    Tue, Apr 12, 2022 @ 02:00 PM - 03:00 PM

    Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Paul S. Rosenbloom, University of Southern California

    Talk Title: From Designing Minds to Mapping Disciplines

    Series: Remarkable Trajectory Lecture Series

    Abstract: Designing minds involves understanding the fixed mechanisms that combine to yield a mind as a basis for building both integrated models of human cognition and general AI systems. My trajectory here began in the mid-to-late 1970s with rule-based systems, and evolved through a sequence of more elaborate cognitive architectures -“ Xaps, Soar, and Sigma. It has also included recent efforts to understand minds more abstractly, in terms of a Common Model of Cognition and dichotomic maps of architectural mechanisms. Mapping disciplines involves understanding their essences and systematically structuring their compositions. My trajectory here began with a relational map of computing as a great scientific domain and continued with recent work on dichotomic maps of the technologies underlying AI and cognitive science. Following a dab of personal background, I will overview these two trajectories, and then wrap up with a bit of speculation on their affinity and a sampling of maxims extracted from my career as a whole.

    Register in advance for this online event at:

    https://usc.zoom.us/webinar/register/WN__4hJussyRBus_HIFLcgigQ

    After registering, attendees will receive a confirmation email containing information about joining the webinar.

    This lecture satisfies requirements for CSCI 591: Research Colloquium.


    Biography: Paul S. Rosenbloom recently retired as a Professor of Computer Science in the Viterbi School of Engineering at the University of Southern California and Director for Cognitive Architecture Research at the Institute for Creative Technologies. He also was a member of USC's Information Sciences Institute for two decades, ending as its deputy director, and earlier was faculty at Carnegie Mellon University and Stanford University (with a joint appointment in Computer Science and Psychology). His research has focused on cognitive architectures (models of the fixed structures and processes that together yield a mind), the Common Model of Cognition (a partial consensus about the structure of a human-like mind), dichotomic maps (structuring the space of technologies underlying AI and cognitive science), and the relational model of computing as a great scientific domain (akin to the physical, life and social sciences). He is a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI), the American Association for the Advancement of Science (AAAS), and the Cognitive Science Society; and with John E. Laird was awarded the Herbert A. Simon Prize for Advances in Cognitive Systems. He has served as Councilor and Conference Chair for AAAI; Chair of ACM SIGART (now SIGAI); Chair of the Viterbi Engineering Faculty Council; and President of the USC Faculty.


    Host: USC Viterbi School of Engineering Department of Computer Science

    Webcast: https://usc.zoom.us/webinar/register/WN__4hJussyRBus_HIFLcgigQ

    Location: Online - Zoom Webinar

    WebCast Link: https://usc.zoom.us/webinar/register/WN__4hJussyRBus_HIFLcgigQ

    Audiences: Everyone Is Invited

    Contact: Computer Science Department

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  • ISE 651 Epstein Seminar

    Tue, Apr 12, 2022 @ 03:30 PM - 04:50 PM

    Daniel J. Epstein Department of Industrial and Systems Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Daniel Apley, Professor, Dept. of Industrial Engineering and Management Sciences, Northwestern University

    Talk Title: Interpreting Black-Box Supervised Learning Models Via Accumulated Local Effects

    Host: Prof. Qiang Huang

    More Information: April 12, 2022.pdf

    Location: Online/Zoom

    Audiences: Everyone Is Invited

    Contact: Grace Owh

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  • Repeating EventCS Undergraduate Web Registration Live Chat Assistance

    Wed, Apr 13, 2022 @ 09:00 AM - 09:30 AM

    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

    View All Dates

    Contact: USC Computer Science

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  • Computer Science General Faculty Meeting

    Wed, Apr 13, 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

    OutlookiCal
  • Center of Autonomy and AI, Center for Cyber-Physical Systems and the Internet of Things, and Ming Hsieh Institute Seminar Series (Part 1)

    Wed, Apr 13, 2022 @ 02:00 PM - 02:30 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Prakash Sarathy, Northrop Grumman Global Products (1st Speaker)

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

    Abstract: Increasing tempo and complexity of missions for aircraft and space vehicles has driven the design of such systems to higher levels of autonomous operations. Consequently, the challenges of ensuring a safe and secure operational regime have been rapidly escalating. While a number of techniques, new and old, are available to address different facets of these challenges, what seems to be missing is some cohesive approach or framework that can support the total design lifecycle while lowering the cost and risk of a successful design and deployment of such cyber-physical systems.

    This talk will focus on some of these challenges and where overlaps exist in the safety and security needs and in its eventual resolution within a software and hardware design. Some notable approaches and methodologies will be discussed briefly to highlight the potential of such convergence as well as some mention of current state-of-practice in software and hardware verification, validation, and accreditations (VV&A).

    Biography: Dr. Prakash Sarathy is the Chief Engineer for common mission processing subsystem for Northrop Grumman Global Products center. He earned his doctoral degree in Aerospace Engineering from Syracuse University. He has held positions as post-doctoral fellow, research engineer and tenured engineering faculty in his prior career. He has over 30 years of experience in the area of software applied to aerospace engineering, providing technical and project/program management and oversight for advanced technology programs requiring accelerated risk burn down and rapid maturation. His technical expertise areas include cooperative distributed architectures for multi-agent systems, cooperative decision frameworks, agent architectures for mission management, aggregate control of distributed assets, user interface design for aggregate level situational awareness. Insertion of neural networks, evolutionary computing and emergent behavior to decision making paradigms. This software engineering expertise coupled with his in-depth experience in linear and nonlinear dynamics of vehicle systems, applied to guidance, navigation and control of aircraft, spacecraft, and robots as well as of real-time and embedded simulations, high fidelity modeling, implementation, VV&A, formal methods, and testing, provide an excellent framework for the challenges of next generation autonomous aircraft. He has spearheaded an effort to assemble a feasible set of methodologies to establish bounded behavior assurance for advanced autonomous missions under contested operating conditions.

    Host: Pierluigi Nuzzo, nuzzo@usc.edu

    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

    OutlookiCal
  • Center of Autonomy and AI, Center for Cyber-Physical Systems and the Internet of Things, and Ming Hsieh Institute Seminar Series (Part 2)

    Wed, Apr 13, 2022 @ 02:30 PM - 03:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Marlon Marquez, Northrop Grumman Space Systems (2nd Speaker)

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

    Abstract: Increasing tempo and complexity of missions for aircraft and space vehicles has driven the design of such systems to higher levels of autonomous operations. Consequently, the challenges of ensuring a safe and secure operational regime have been rapidly escalating. While a number of techniques, new and old, are available to address different facets of these challenges, what seems to be missing is some cohesive approach or framework that can support the total design lifecycle while lowering the cost and risk of a successful design and deployment of such cyber-physical systems.

    This talk will focus on some of these challenges and where overlaps exist in the safety and security needs and in its eventual resolution within a software and hardware design. Some notable approaches and methodologies will be discussed briefly to highlight the potential of such convergence as well as some mention of current state-of-practice in software and hardware verification, validation, and accreditations (VV&A).

    Biography: Marlon Marquez is a Consulting Engineer at NG Space Systems. Mr. Marquez has prior experience designing with Intel, Power PC, and ARM microprocessor technologies. He has domain knowledge with state-of-the- art cyber security and anti-tamper infrastructures including TPMs, secure hypervisor technologies and multi-level security concepts. He has experience with Operating System technologies, Pub/Sub application development, and Kernel development. He is an FPGA subject matter expert and has extensive experience with FPGA and Processor interfaces. He holds two USPTO patents and presented ASIC technology at IEEE. He has a BSEE from UCLA, was an MS candidate at Cal State Northridge in Electrical and Computing Engineering and has an MBA from Pepperdine University.

    Host: Pierluigi Nuzzo, nuzzo@usc.edu

    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

    OutlookiCal
  • CS Colloquium: Bradley Hayes (University of Colorado Boulder) - Human-robot teaming is a lot less dangerous with communication: Improving Human-Robot Teaming Performance in Partially Observable Environments with Augmented Reality

    Wed, Apr 13, 2022 @ 04:30 PM - 05:50 PM

    Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Bradley Hayes, University of Colorado Boulder

    Talk Title: Human-robot teaming is a lot less dangerous with communication: Improving Human-Robot Teaming Performance in Partially Observable Environments with Augmented Reality

    Series: Computer Science Colloquium

    Abstract: Clear and frequent communication is a foundational aspect of collaboration. Effective communication not only enables and sustains the shared situational awareness necessary for adaptation and coordination during human-robot teaming, but is often a requirement given the opaque nature of decision-making in autonomous systems. In this talk I will share some of our recent work using augmented reality as a mode of visual communication to improve both human and robot safety and capability when working together, introducing insights into human behavior and compliance in safety-critical situations as well as novel algorithms for autonomous communication and collaboration in partially observable environments. The talk will conclude with a presentation of our ongoing work at the intersection of fast constrained motion planning for sequential manifold planning problems and augmented reality-assisted learning from demonstration.

    Prof. Bradley Hayes will give his talk in person at GFS 106 and we will also host the talk over Zoom.

    Register in advance for this webinar at:

    https://usc.zoom.us/webinar/register/WN_HgvCIbb7TDS6aOU1ksSI0A

    After registering, attendees will receive a confirmation email containing information about joining the webinar.

    This lecture satisfies requirements for CSCI 591: Research Colloquium.


    Biography: Bradley Hayes is an Assistant Professor of Computer Science at the University of Colorado Boulder, where he runs the Collaborative AI and Robotics (CAIRO) Lab and serves as co-director of the university's Autonomous Systems Interdisciplinary Research Theme. Brad's research develops techniques to create and validate autonomous systems that learn from, teach, and collaborate with humans to improve efficiency, safety, and capability at scale. His work primarily leverages novel approaches at the intersection of human-robot interaction and explainable artificial intelligence, providing autonomous systems with the ability to generalize skills with limited risk, to act safely and productively around humans, and to make human-autonomy teams more powerful than the sums of their parts. His continual efforts to systematically put humans and autonomous systems into often entertaining and occasionally productive situations has been featured by TEDx, Popular Science, Wired, and MIT Technology review, and has been recognized with best paper nominations from HRI, AAMAS, and RO-MAN. Brad also serves as CTO at Circadence, building high-fidelity simulation, test, and evaluation environments for cyber-physical systems at nation-state scale.


    Host: Stefanos Nikolaidis

    Webcast: https://usc.zoom.us/webinar/register/WN_HgvCIbb7TDS6aOU1ksSI0A

    Location: Grace Ford Salvatori Hall Of Letters, Arts & Sciences (GFS) - 106

    WebCast Link: https://usc.zoom.us/webinar/register/WN_HgvCIbb7TDS6aOU1ksSI0A

    Audiences: Everyone Is Invited

    Contact: Computer Science Department

    OutlookiCal
  • A Study Break w/ Tesla: Weekly Series Feb 9 - April 13 (Virtual)

    Wed, Apr 13, 2022 @ 06:00 PM - 06:45 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    A Study Break w/ Tesla is a series of professional workshops presented by the Hardware + Cell Engineering Internship Recruiting Team that will be offered on Wednesday evenings from February through April, 6:00 pm -6:45 pm.
    Each event will offer a 25-minute presentation on a specific topic, followed by a 20-minute opportunity for participants to ask questions and network with the Tesla team.

    Event: To-do's and Tips for First-year Students | April 13 - RSVP HERE

    Description: This session is designed for first-year students and will provide some insight and tips to develop into a top candidate for Tesla and big tech companies. The job market can be very competitive, but engaging early and developing a vast array of skill profiles can provide ease when applying for highly competitive internship and co-op opportunities. Join the conversation to learn more!
    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 in Viterbi Career Gateway

    Audiences: Everyone Is Invited

    Contact: RTH 218 Viterbi Career Connections

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  • DEN@Viterbi - Online Graduate Engineering Virtual Information Session

    Wed, Apr 13, 2022 @ 06:00 PM - 07:00 PM

    Distance Education Network, Viterbi School of Engineering Graduate Admission

    Workshops & Infosessions


    Join USC Viterbi School of Engineering for a virtual information session via WebEx, providing an introduction to DEN@Viterbi, our top ranked online delivery system. Discover the 40+ graduate engineering and computer science programs available entirely online.

    Attendees will have the opportunity to connect directly with USC Viterbi representatives during the session to discuss the admission process, program details and the benefits of online delivery.

    Register Today!

    WebCast Link: https://uscviterbi.webex.com/uscviterbi/onstage/g.php?MTID=e7d54385e2b649e227f779003aafe71c1

    Audiences: Everyone Is Invited

    Contact: Corporate & Professional Programs

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  • The 43rd Annual Viterbi Awards

    Wed, Apr 13, 2022 @ 07:00 PM - 09:00 PM

    Viterbi School of Engineering Alumni

    Receptions & Special Events


    Since its first incarnation in 1978, the Viterbi Awards has been a significant annual event for the School. It has become our forum for recognizing outstanding members of the engineering community and those of our own alumni who have made lasting contributions to science and engineering in all its manifestations.

    For tickets and to be included on our mailing list, please call 213-740-4880 or email Maita Schuster at mrschust@usc.edu. Visit https://viterbischool.usc.edu/alumni/viterbi-awards/ for more information.

    Audiences: Everyone Is Invited

    Contact: Kristy Ly

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  • Social for ALL CS Clubs

    Wed, Apr 13, 2022 @ 07:00 PM - 09:00 PM

    Viterbi School of Engineering Student Organizations

    Student Activity


    Interested in computer science? This is the place to be! Come out to meet Tech and CS clubs around campus at ACM's CS Club social. Get to know each other and learn about what other clubs do as you play a do-you-know-the-clubs bingo game and some other outdoor games like volleyball, spikeball, and frisbee. And if games aren't your thing, just come spend some time outside and mingle! Donuts will be provided, first come first serve

    Learn more and RSVP at bit.ly/acm-cs-club-social

    Location: Village Great Lawn!

    Audiences: Everyone Is Invited

    Contact: Association for Computing Machinery

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  • Repeating EventCS Undergraduate Web Registration Live Chat Assistance

    Thu, Apr 14, 2022 @ 09:00 AM - 09:30 AM

    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

    View All Dates

    Contact: USC Computer Science

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  • IMPROV FOR ENGINEERS MASTER CLASS

    Thu, Apr 14, 2022 @ 10:00 AM - 11:00 AM

    USC Viterbi School of Engineering

    University Calendar


    Exciting experiential learning opportunity for engineers! Join the Improv for Engineers Master Class, an interactive and dynamic workshop designed to improve creativity, communication, and collaboration skills through theater arts techniques. Improv for Engineers is a co-curricular partnership between the School of Dramatic Arts and the Viterbi School of Engineering.


    More Information: Improv for Engineers Master Class flyer Spring 2022.docx

    Location: College Academic Services Building (CAS) - CAS Lawn- between CAS and Leavey Library

    Audiences: Everyone Is Invited

    Contact: Elisabeth Weiss

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  • Repeating EventVirtual First-Year Admission Information Session

    Thu, Apr 14, 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

    View All Dates

    Contact: Viterbi Admission

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  • Tech Talk With Maxlinear CTO - State-of-the-Art Communication Chips

    Thu, Apr 14, 2022 @ 12:00 PM - 02:00 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    Meet the CTO and co-founder of Maxlinear, Dr. Curtis Ling during this interactive Q&A session with food and drinks!
    Thursday, April 14th, 12-2 pm
    Ronald Tutor Hall (RTH) Room 211
    Food and drinks will be served!
    RSVP required, RSVP in Viterbi Career Gateway.
    Dr. Curtis will discuss how do circuits and algorithms convey data between a mobile device and servers within a data center. In this talk, we will give you some insight into this process by discussing examples of advanced communication systems integrated on a chip (SOCs) deployed across mobile, data center, and home networking systems.
    This is targeted event for master's and PhD students in electrical engineering/computer engineering with an interest in communication systems, integrated circuits, signal processing, optical transceivers, and wireless communications.
    We have both internship and full-time opportunities available. Maxlinear can sponsor international candidates and hires on CPT and OPT.

    Location: 211

    Audiences: Everyone Is Invited

    Contact: RTH 218 Viterbi Career Connections

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  • Astani Civil and Environmental Engineering Seminar

    Thu, Apr 14, 2022 @ 12:30 PM - 01:30 PM

    Sonny Astani Department of Civil and Environmental Engineering

    Conferences, Lectures, & Seminars


    Speaker: Yue Yue Fan, University of California, Davis

    Talk Title: Physics-informed data analytics approaches using constrained optimization - exploiting domain knowledge and hard information in a transportation network

    Abstract: Please see attached abstract and bio.

    Host: Dr. Jim Moore

    Webcast: https://usc.zoom.us/j/91873923659 Meeting ID: 918 7392 3659 Pass: 975701

    More Information: YueYue Fan-Abstract_ Bio.pdf

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

    WebCast Link: https://usc.zoom.us/j/91873923659 Meeting ID: 918 7392 3659 Pass: 975701

    Audiences: Everyone Is Invited

    Contact: Evangeline Reyes

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  • CS Colloquium: Joydeep Biswas (University of Texas at Austin) - Deploying Autonomous Service Mobile Robots, And Keeping Them Autonomous

    Thu, Apr 14, 2022 @ 04:10 PM - 05:20 PM

    Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Joydeep Biswas, University of Texas at Austin

    Talk Title: Deploying Autonomous Service Mobile Robots, And Keeping Them Autonomous

    Series: Computer Science Colloquium

    Abstract: *New start time: 4:10 PM PT*

    Why is it so hard to deploy autonomous service mobile robots in unstructured human environments, and to keep them autonomous? In this talk, I will explain three key challenges, and our recent research in overcoming them: 1) ensuring robustness to environmental changes; 2) anticipating and overcoming failures; and 3) efficiently adapting to user needs.
    To remain robust to environmental changes, we build probabilistic perception models to explicitly reason about object permanence and distributions of semantically meaningful movable objects. By anticipating and accounting for changes in the environment, we are able to robustly deploy robots in challenging frequently changing environments.
    To anticipate and overcome failures, we introduce introspective perception to learn to predict and overcome perception errors. Introspective perception allows a robot to autonomously learn to identify causes of perception failure, how to avoid them, and how to learn context-aware noise models to overcome such failures.
    To adapt and correct behaviors of robots based on user preferences, or to handle unforeseen circumstances, we leverage representation learning and program synthesis. We introduce visual representation learning for preference-aware planning to identify and reason about novel terrain types from unlabelled human demonstrations. We further introduce physics-informed program synthesis to synthesize and repair programmatic action selection policies (ASPs) in a human-interpretable domain-specific language with several orders of magnitude fewer demonstrations than necessary for neural network ASPs of comparable performance.
    The combination of these research advances allows us to deploy a varied fleet of wheeled and legged autonomous mobile robots on the campus scale at UT Austin, performing tasks that require robust mobility both indoors and outdoors.

    ***Dr. Joydeep Biswas will give the talk in person at SGM 124 and we will also host the talk over Zoom.***

    Register in advance for this webinar at:

    https://usc.zoom.us/webinar/register/WN_lWf_mXH3Qr2qtbHg1kbOYQ

    After registering, attendees will receive a confirmation email containing information about joining the webinar.

    This lecture satisfies requirements for CSCI 591: Research Colloquium.


    Biography: Joydeep Biswas is an assistant professor in the department of computer science at the University of Texas at Austin. He earned his B.Tech in Engineering Physics from the Indian Institute of Technology Bombay in 2008, and M.S. and PhD in Robotics from Carnegie Mellon University in 2010 and 2014 respectively. From 2015 to 2019, he was assistant professor in the College of Information and Computer Sciences at the University of Massachusetts Amherst. His research spans perception and planning for long-term autonomy, with the ultimate goal of having service mobile robots deployed in human environments for years at a time, without the need for expert corrections or supervision. Prof. Biswas received the NSF CAREER award in 2021, an Amazon Research Award in 2018, and a JP Morgan Faculty Research Award in 2018.


    Host: Stefanos Nikolaidis

    Webcast: https://usc.zoom.us/webinar/register/WN_lWf_mXH3Qr2qtbHg1kbOYQ

    Location: Seeley G. Mudd Building (SGM) - 124

    WebCast Link: https://usc.zoom.us/webinar/register/WN_lWf_mXH3Qr2qtbHg1kbOYQ

    Audiences: Everyone Is Invited

    Contact: Computer Science Department

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  • Repeating EventCS Undergraduate Web Registration Live Chat Assistance

    Fri, Apr 15, 2022 @ 09:00 AM - 09:30 AM

    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

    View All Dates

    Contact: USC Computer Science

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  • Admitted Student Explore USC #3

    Fri, Apr 15, 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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  • Astani Civil and Environmental Engineering Seminar

    Fri, Apr 15, 2022 @ 10:00 AM - 12:00 PM

    Sonny Astani Department of Civil and Environmental Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. YueYue Fan, and Dr. Daan Liang, National Science Foundation

    Talk Title: Funding opportunities for research related to infrastructure systems and smart and connected communities at National Science Foundation

    Abstract: In this meeting, Dr. Yueyue Fan and Dr. Daan Liang from the Civil, Mechanical, & Manufacturing Innovation CMMI Division at NSF will discuss funding opportunities related to infrastructure systems, disasters and resilience, and smart connected communities at the National Science Foundation. Challenges brought by problems in these areas often require cross-disciplinary efforts from engineering, mathematics, and physical and social sciences. Therefore, we would welcome audience from broad academic communities. Specifically, We will focus on four NSF programs: Civil Infrastructure Systems CIS, Human, Disaster, and Built Environment HDBE, Cyber Physical Systems CPS, and Smart and Connected Communities S&CC, including their scopes, review criteria, and different expectations. Solicitations supporting large- scale research infrastructure development, including MRI and CDS&E, will also be discussed. We also hope to use this opportunity to gather your input regarding critical research gaps and research infrastructure needs.


    Host: Dr. James Moore

    Webcast: https://usc.zoom.us/j/95126666153 Passcode: 527255

    Location: Ray R. Irani Hall (RRI) - 321

    WebCast Link: https://usc.zoom.us/j/95126666153 Passcode: 527255

    Audiences: Everyone Is Invited

    Contact: Evangeline Reyes

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  • CS Colloquium: Mohamed Hussein (USC ISI) - Securing Machine Vision Models

    Fri, Apr 15, 2022 @ 10:00 AM - 11:00 AM

    Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Mohamed Hussein, USC ISI

    Talk Title: Securing Machine Vision Models

    Abstract: Machine vision has evolved dramatically over the past decade, thanks to the deep learning revolution. Despite their remarkable performance, often surpassing humans, machine vision models are vulnerable to different types of attacks. This talk will focus on two types of attacks as well as methods to secure machine vision models against them. The first is presentation (or more commonly known as spoofing) attacks on biometric authentication systems, in which the attacker presents a fake physical instrument to the system, such as a printed face image, either to conceal their true identity or impersonate a different identity. I will show that combining the power of deep learning with multi-spectral sensing can effectively address this problem by distinguishing spoofing instruments from bona fide presentations. For the challenging makeup attack, I will show that using multi-spectral data, we can construct an image of a person without the applied makeup, and hence reveal their true identity. The second type of attack is adversarial attacks. In this type of attack, imperceptible perturbations can be applied to the input of a machine vision model to alter the model's prediction. I will present a new non-linear activation function, named Difference of Mirrored Exponential terms (DOME), which has the property of inducing compactness to the embedding space of a deep learning model. We found that combining the usage of DOME with adversarial training can boost the robustness against state of the art adversarial attacks. I will conclude by discussing my perspective on the challenges ahead regarding the security of machine vision models.

    This lecture satisfies requirements for CSCI 591: Research Colloquium

    Biography: Dr. Mohamed E. Hussein is a Computer Scientist and a Research Lead at USC ISI. Dr. Hussein obtained his Ph.D. degree in Computer Science from the University of Maryland at College Park, MD, USA in 2009. Then, he spent close to two years as an Adjunct Member Research Staff at Mitsubishi Electric Research Labs, Cambridge, MA, before moving to Alexandria University, Egypt, as a faculty member. Prior to joining ISI in 2017, he spent three years at Egypt-Japan University of Science and Technology (E-JUST), Alexandria, Egypt. During his time as a faculty member in Egypt, Dr. Hussein was the PI/Co-PI on multiple industry and government funded research projects on Sign Language Recognition and Crowd Scene Analysis. He is currently a Co-PI for ISI's projects under IARPA's Odin and BRIAR programs and DARPA's GARD program.

    Host: CS Department

    Webcast: https://usc.zoom.us/j/98761669161

    Location: Ronald Tutor Hall of Engineering (RTH) - 105

    WebCast Link: https://usc.zoom.us/j/98761669161

    Audiences: Everyone Is Invited

    Contact: Cherie Carter

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  • BCG Walk & Talks

    Fri, Apr 15, 2022 @ 12:00 PM - 12:45 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    Our purpose is to provide a variety of opportunities for students to have their questions answered, learn more about BCG and our recruiting process.

    Designed for students to listen in podcast style and hear from BCG Associates about why we think BCG is a great place to launch your career!

    Friday, April 15th 12pm-12:45pm: Internship Experience & Professional Development- Click Here to Register: https://talent.bcg.com/Events?folderId=10047243&source=Event

    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.edu

    Location: Virtual

    Audiences: Everyone Is Invited

    Contact: RTH 218 Viterbi Career Connections

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  • CS Colloquium: Beidi Chen (Stanford University) - Randomized Algorithms for Efficient Machine Learning Systems

    Fri, Apr 15, 2022 @ 02:00 PM - 03:00 PM

    Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Beidi Chen, Stanford University

    Talk Title: Randomized Algorithms for Efficient Machine Learning Systems

    Series: CS Colloquium

    Abstract: Machine learning (ML) has demonstrated great promise in scientific discovery, healthcare, and education, especially with the rise of large neural networks. However, large models trained on complex and rapidly growing data consume enormous computational resources. In this talk, I will describe my work on exploiting model sparsity with randomized algorithms to accelerate large ML systems on current hardware with no drop in accuracy.

    I will start by describing SLIDE, an open-source system for efficient sparse neural network training on CPUs that has been deployed by major technology companies and academic labs. SLIDE blends Locality Sensitive Hashing with multi-core parallelism and workload optimization to drastically reduce computations. SLIDE trains industry-scale recommendation models on a 44 core CPU 3.5x faster than TensorFlow on V100 GPU with no drop in accuracy.

    Next, I will present Pixelated Butterfly, a simple yet efficient sparse training framework on GPUs. It uses a simple static block-sparse pattern based on butterfly and low-rank matrices, taking into account GPU block-oriented efficiency. Pixelated Butterfly trains up to 2.5x faster (wall-clock) than the dense Vision Transformer and GPT-2 counterparts with no drop in accuracy.

    I will conclude by outlining future research directions for further accelerating ML pipelines and making ML more accessible to the general community, such as software-hardware co-design, data-centric AI, and ML for scientific computing and medical imaging.

    This lecture satisfies requirements for CSCI 591: Research Colloquium


    Biography: Beidi Chen is a postdoctoral scholar in the CS department at Stanford University, working with Prof. Christopher Ré. Her research focuses on large-scale machine learning and deep learning. Specifically, she designs and optimizes randomized algorithms (algorithm-hardware co-design) to accelerate large machine learning systems for real-world problems. Prior to joining Stanford, she received her Ph.D. from the CS department at Rice University, advised by Prof. Anshumali Shrivastava. She received a BS in EECS from UC Berkeley. She has held internships in Microsoft Research, NVIDIA Research, and Amazon AI. Her work has won Best Paper awards at LISA and IISA. She was selected as a Rising Star in EECS by MIT and UIUC.

    Host: Xiang Ren / Vatsal Sharan

    Location: Ronald Tutor Hall of Engineering (RTH) - 105

    Audiences: By invitation only.

    Contact: Assistant to CS chair

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