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Events for November 02, 2021
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Intel Tabling in the Epstein Family Plaza (Viterbi, On-Campus)
Tue, Nov 02, 2021 @ 09:00 AM - 03:30 PM
Workshops & Infosessions
THIS IS AN OUTDOOR OPEN EVENT, RSVP DOES NOT SECURE A POSITION OR TIMESLOT.
PLEASE REFER TO THE SCHEDULE BELOW AS THERE ARE SPECIFIC TIMES INTEL WOULD LIKE TO MEET WITH SPECIFIC MAJORS.
Full time and Internship opportunities
Please fill out the Intel Talent Form before coming to the tabling
Please RSVP so that we know who is coming, but note that this event will be open as it is outdoors. Students will be met on a first come-first served basis. Please read the schedule below as it is divided by majors:
9:00 am -12:30 pm-“ Tabling for Chemical Eng., Mechanical Eng., and Materials Science only
1:00 pm - 3:30 pm -“ Tabling for Electrical Eng., Computer Eng., and CS onlyLocation: EPSTEIN FAMILY PLAZA (On-Campus)
Audiences: Everyone Is Invited
Contact: RTH 218 Viterbi Career Connections
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Infectious Disease Forecasting: Methods, Lessons, and Opportunities
Tue, Nov 02, 2021 @ 10:00 AM - 11:00 AM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Ajitesh Srivastava, Research Assistant Professor/Ming Hsieh Department of Computer and Electrical Engineering
Talk Title: Infectious Disease Forecasting: Methods, Lessons, and Opportunities
Abstract: After more than a year, COVID-19 continues to disrupt our lives. Efforts have been underway since the beginning to understand the epidemiological situation and generate short-term forecasts and long-term scenario projections to drive public health decisions. These efforts, called "hubs" are collaborations between government agencies and multiple universities. In this talk, I will discuss the lessons learned from my participation in several such efforts in modeling and projection of COVID-19, and the resulting research opportunities. I will also present my methodology which has evolved over time to now incorporate dynamics of multiple competing variants, vaccination behavior, age-specific contact matrices, and waning immunity. A key feature of the approach is that it avoids overfitting by splitting the model into independent linear regression problems. An additional advantage is that the runtime is low. As an example, learning the model and generating case, death, and hospitalization forecasts for 56 regions of the US, each with around 25 variants and 5 age groups, takes ~20s on a 2-core desktop. This also enables fast scenario projections, where even for each scenario multiple runs are needed to incorporate uncertainty in hyper-parameters and human behavior. This may not be the last pandemic we will face, and therefore the research does not end with COVID-19. In fact, the extensive data-collection, monitoring, and forecasting during this epidemic sets the stage for more impactful research in preparedness for future epidemics.
Biography: Dr. Ajitesh Srivastava is a Research Assistant Professor at the Ming Hsieh Department of Computer and Electrical Engineering. He obtained his PhD in Computer Science at the University of Southern California in 2018. His research interests include network science, modeling, and machine learning applied to epidemics, social good, social networks, and systems. He collaborates with teams around the world, the CDC, and the ECDC for infectious disease forecasting and scenario projections. He is a DARPA Grand Challenge Winner (2014) on predicting the spread of Chikungunya virus.
Host: Dr. Richard M. Leahy, Chair, Ming Hsieh Department of Electrical and Computer Engineering (Systems)
Webcast: https://usc.zoom.us/j/91552972911?pwd=VG5DczVLdk9vQllBK2ZQT2l3dUJuQT09Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
WebCast Link: https://usc.zoom.us/j/91552972911?pwd=VG5DczVLdk9vQllBK2ZQT2l3dUJuQT09
Audiences: Everyone Is Invited
Contact: Mayumi Thrasher
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CAIS Seminar: Itai Ashlagi (Stanford University) - Designing school choice for Diversity in San Francisco Unified School District
Tue, Nov 02, 2021 @ 11:00 AM - 12:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Dr. Itai Ashlagi, Stanford University
Talk Title: Designing school choice for Diversity in San Francisco Unified School District
Series: USC Center for Artificial Intelligence in Society (CAIS) Seminar Series
Abstract: In December 2018, the Board of Education of San Francisco Unified School District (SFUSD) passed a resolution for developing a student assignment system for elementary schools, which seeks to improve diversity, transparency, and equal access to quality schools.
This follows an increasing trend towards segregation in the last two decades despite the diversity in the district. In this talk I will describe ongoing research, building on tools from Optimization and Economics, that supported SFUSD towards a new student assignment system to achieve these goals.
This is based on joint work with Max Allman, Irene Lo and Kaleigh Mentzer
Register in advance for this webinar at:
https://usc.zoom.us/webinar/register/WN_Fmg9g80OTcazDrCONyD4YA
After registering, attendees will receive a confirmation email containing information about joining the webinar.
This lecture satisfies requirements for CSCI 591: Research Colloquium.
Biography: Itai Ashlagi is an Associate Professor at the Stanford University Management Science & Engineering Department. He is interested in market design. His work influenced the practice of kidney exchange, for which he has become a Franz Edelman Laureate.
Host: USC Center for Artificial Intelligence in Society (CAIS)
Webcast: https://usc.zoom.us/webinar/register/WN_Fmg9g80OTcazDrCONyD4YALocation: Online - Zoom Webinar
WebCast Link: https://usc.zoom.us/webinar/register/WN_Fmg9g80OTcazDrCONyD4YA
Audiences: Everyone Is Invited
Contact: Computer Science Department
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Intel Tabling in the Epstein Family Plaza (Viterbi, On-Campus)
Tue, Nov 02, 2021 @ 11:00 AM - 12:00 PM
Workshops & Infosessions
THIS IS AN OUTDOOR OPEN EVENT, RSVP DOES NOT SECURE A POSITON OR TIME SLOT.
PLEASE REFER TO THE SCHEUDLE BELOW AS THERE ARE SPECIFIC TIMES INTEL WULD LIKE TO MEET SPECIFIC MAJORS
Intel is tabling at USC Viterbi in the Epstein Family Plaza!
Full time and Internship opportunities
Please fill out the Intel Talent Form before coming to the tabling
Please RSVP so that we know who is coming, but note that this event will be open as it is outdoors. Students will be met on a first come-first served basis. Please read the schedule below as it is divided by majors:
Date: TUESDAY NOVEMBER 2
9:00 am -12:30 pm-“ Tabling for Chemical Eng., Mechanical Eng., and Materials Science only
1:00 pm - 3:30 pm -“ Tabling for Electrical Eng., Computer Eng., and CS onlyLocation: EPSTEIN FAMILY PLAZA (On-Campus)
Audiences: Everyone Is Invited
Contact: RTH 218 Viterbi Career Connections
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CS Undergraduate Live Chat Drop-in AdvisementTue, Nov 02, 2021 @ 01:30 PM - 02:30 PM
Thomas Lord Department of Computer Science
Student Activity
CS Advisors will be available on Tuesdays/Wednesdays/Thursdays this fall from 1:30pm to 2:30pm to assist undergraduates in our four majors (CSCI, CSBA, CSGA, and CECS) via Live Chat. Access the live chat through our website at https://cs.usc.edu/chat
Location: Online - Live Chat
Audiences: Undergrad
Contact: USC Computer Sciecne
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Drop-In Weekly Office Hours [Virtual] Posted By: Center for Advanced Research Computing
Tue, Nov 02, 2021 @ 02:30 PM - 05:00 PM
Information Technology Program (ITP)
Workshops & Infosessions
Every Tuesday, office hours are an opportunity for CARC users to ask questions about research computing. No appointment/registration is necessary, but you must use your USC credentials to access the Zoom meeting by clicking "Register" below. For in-person support, we are also in Leavey Library room 3M (basement) during this same time period. Register Here!
Audiences: Everyone Is Invited
Contact: Center for Advanced Research Computing
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ISE 651 - Epstein Seminar
Tue, Nov 02, 2021 @ 03:30 PM - 04:50 PM
Daniel J. Epstein Department of Industrial and Systems Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Dmitriy Drusvyatskiy, Associate Professor, Dept. of Mathematics, University of Washington
Talk Title: Stochastic Optimization Under Distributional Shifts
Host: Dr. Meisam Razaviyayn
More Information: November 2, 2021.pdf
Location: Zoom/Online
Audiences: Everyone Is Invited
Contact: Grace Owh
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CS Colloquium: Lisa Soros (Cross Labs) - Designing Open-Ended Algorithms via Artificial Life
Tue, Nov 02, 2021 @ 03:30 PM - 04:50 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Lisa Soros, Cross Labs
Talk Title: Designing Open-Ended Algorithms via Artificial Life
Series: Computer Science Colloquium
Abstract: Most algorithms implemented in computers are designed to converge in a finite amount of time. Yet, some of the most powerful generative processes in the natural world (such as evolution) have been running for millions or billions of years. Is it possible to create algorithms that generate interesting and complex artifacts on the same scale as natural evolution? This talk will give an introduction to research on the synthesis and simulation of living systems, also known as Artificial Life. It will focus primarily on the challenge of open-ended evolutionary processes, which may pave the way for open-ended artificial intelligence.
This lecture satisfies requirements for CSCI 591: Research Colloquium.
Biography: Lisa Soros is a Postdoctoral Research Fellow at Cross Labs, which is a hybrid academic-industrial research institute based in Kyoto, Japan and dedicated to studying natural and artificial intelligence. Her research interests broadly include evolutionary computation, artificial life, and video game AI. She is a graduate of the Evolutionary Complexity Research Group at the University of Central Florida and completed her dissertation, "Necessary Conditions for Open-Ended Evolution" in 2018. Since then, she has been an Assistant Professor at Champlain College in Burlington, Vermont and a Postdoctoral Researcher at the Game Innovation Lab at New York University.
Host: Stefanos Nikolaidis
Location: Seeley Wintersmith Mudd Memorial Hall (of Philosophy) (MHP) - 101
Audiences: Everyone Is Invited
Contact: Computer Science Department
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Virtual First-Year Admission Information Session
Tue, Nov 02, 2021 @ 04:00 PM - 05:00 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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Intel Info Session – PhD Talk (For PhD only) (Viterbi, On-campus
Tue, Nov 02, 2021 @ 05:00 PM - 06:00 PM
Viterbi School of Engineering Career Connections
Workshops & Infosessions
THIS EVENT IS FOR PHD ONLY FOR THE MAJORS LISTED BELOW. IF YOU ARE A BACHELORS OR GRADUATE STUDENT DO NOT RSVP FOR THIS TALK, ONLY IF YOU ARE PHD LEVEL
Intel Info Session -- PhD Talk in EEB 132 5-6 pm
Target Viterbi Audience: EE, CE, ChemE, MechE, MatSci, Physics and Chemistry.
Target Viterbi degree levels: PhDs
Details: Come learn about opportunities for PhD candidates at Intel!Location: Hughes Aircraft Electrical Engineering Center (EEB) - EEB 132
Audiences: Everyone Is Invited
Contact: RTH 218 Viterbi Career Connections
