Logo: University of Southern California

Events Calendar

Select a calendar:

Filter February Events by Event Type:

Events for February 28, 2020

  • Repeating EventMeet USC: Admission Presentation, Campus Tour, and Engineering Talk

    Fri, Feb 28, 2020

    Viterbi School of Engineering Undergraduate Admission

    Workshops & Infosessions

    This half day program is designed for prospective freshmen (HS seniors and younger) and family members. Meet USC includes an information session on the University and the Admission process, a student led walking tour of campus, and a meeting with us in the Viterbi School. During the engineering session we will discuss the curriculum, research opportunities, hands-on projects, entrepreneurial support programs, and other aspects of the engineering school. Meet USC is designed to answer all of your questions about USC, the application process, and financial aid.

    Reservations are required for Meet USC. This program occurs twice, once at 8:30 a.m. and again at 12:30 p.m.

    Please make sure to check availability and register online for the session you wish to attend. Also, remember to list an Engineering major as your "intended major" on the webform!

    Register Here

    Location: Ronald Tutor Campus Center (TCC) -

    Audiences: Everyone Is Invited

    View All Dates

    Posted By: Viterbi Admission

  • IISE Western Regional Conference

    Fri, Feb 28, 2020

    Daniel J. Epstein Department of Industrial and Systems Engineering, USC Viterbi School of Engineering

    Conferences, Lectures, & Seminars

    Speaker: Various, Various

    Talk Title: IISE Western Regional Conference

    Abstract: The Institute of Industrial and Systems Engineers at the University of Southern California is hosting the 2020 IISE Western Regional Conference February 28 - March 1, 2020.

    Please register here: https://ise.usc.edu/iise-student-conference

    This conference is a unique opportunity for students and professionals in the field of Industrial Engineering to network, explore industry trends, and compete for a chance to present their work at the IISE Annual Conference and Expo 2020 in New Orleans, Louisiana.

    The conference will be held on the main campus and includes the technical paper competition, keynote speakers, expert panels, plant tours, and other activities.

    Host: Daniel J. Epstein Department of Industrial and Systems Engineering

    More Info: https://ise.usc.edu/iise-student-conference/

    More Information: ConferenceFlyer.pdf

    Audiences: Everyone Is Invited

    Posted By: Greta Harrison

  • Repeating EventGrammar Tutoring

    Fri, Feb 28, 2020 @ 10:00 AM - 12:00 PM

    Viterbi School of Engineering Student Affairs

    Workshops & Infosessions

    Need help refining your grammar skills in your academic and professional writing? Meet one-on-one with professors from the Engineering Writing Program, work together on your grammar skills, and take your writing to the next level!

    Sign up here: http://bit.ly/grammaratUSC
    Questions? Contact helenhch@usc.edu or amy.schroeder@usc.edu

    More Information: Grammar Tutorial FLYER.pdf

    Location: Olin Hall of Engineering (OHE) - 106

    Audiences: Graduate and Undergraduate Students

    View All Dates

    Posted By: Helen Choi

  • Machine Learning for Performance and Power Modeling/Prediction

    Fri, Feb 28, 2020 @ 10:30 AM - 12:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars

    Speaker: Prof. Lizy Kurian John, UT Austin

    Talk Title: Machine Learning for Performance and Power Modeling/Prediction

    Abstract: Estimating the power and thermal characteristics of SoCs is essential for designing its power delivery system, packaging, cooling, and power/thermal management schemes. Power models that estimate the power consumption of each functional unit/hardware component from first principles are slow and tedious to build. Machine learning can be used to create power models that are fast and reasonably accurate. Machine learning can also be used to calibrate analytical models that estimate power. In this talk, I will present some examples of performance and power modeling using machine learning.
    Another application for machine learning has been to create max power stressmarks. Manually developing and tuning so called stressmarks is extremely tedious and time-consuming while requiring an intimate understanding of the processor. In our past research, we created a framework that uses machine learning for the automated generation of stressmarks. In this talk, the methodology of the creation of automatic stressmarks will be explained. Experiments on multiple platforms validating the proposed approach will be described.
    Yet another application for machine learning is in cross-platform performance and power prediction. If one model is slow to run real-world benchmarks/workloads, is it possible to predict/estimate the performance/power by using runs on another platform? Are there correlations that can be exploited using machine learning to make cross-platform performance and power predictions? A methodology to perform cross-platform performance/power predictions will be presented in this talk.

    Biography: Lizy Kurian John is Cullen Trust for Higher Education Endowed Professor in the Electrical and Computer Engineering at the University of Texas at Austin. She received her Ph. D in Computer Engineering from Pennsylvania State University. Her research interests include workload characterization, performance evaluation, memory systems, reconfigurable architectures, and high-performance architectures for emerging workloads. She is a recipient of many awards including The Pennsylvania State University Outstanding Engineering Alumnus 2011, the NSF CAREER award, UT Austin Engineering Foundation Faculty Award, Halliburton, Brown and Root Engineering Foundation Young Faculty Award 2001, University of Texas Alumni Association (Texas Exes) Teaching Award 2004, etc. She has co-authored books on Digital Systems Design using VHDL (Cengage Publishers, 2007, 2017), a book on Digital Systems Design using Verilog (Cengage Publishers, 2014) and has edited 4 books including a book on Computer Performance Evaluation and Benchmarking. In the past, she has served as Associate Editor of IEEE Transactions on Computers, IEEE Transactions on VLSI, IEEE Computer Architecture Letters, ACM Transactions on Architecture and Code Optimization, and IEEE Micro. She is currently the Editor-in-Chief of IEEE Micro. She holds 12 US patents and is an IEEE Fellow (Class of 2009).

    Host: Xuehai Qian, xuehai.qian@usc.edu

    More Information: 200228_Lizy John_CENG.pdf

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

    Audiences: Everyone Is Invited

    Posted By: Brienne Moore

  • Virtual Graduate Mixer

    Fri, Feb 28, 2020 @ 01:00 PM - 05:00 PM

    Viterbi School of Engineering Alumni

    Receptions & Special Events

    Don't miss out on this chance to chat with participants from all around the world! Share your experiences, exchange career tips and build your professional network -- all online, from any device.

    Current Viterbi Students, Viterbi Alumni, Engineering Professionals, and Employers hiring Engineers are all encouraged to attend. Don't wait, register now!

    WebCast Link: Please register for more information.

    Audiences: Everyone Is Invited

    Posted By: Kristy Ly