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Events for February 03, 2021
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Viterbi Career & Internship Expo
Wed, Feb 03, 2021 @ 10:00 AM - 05:00 PM
Viterbi School of Engineering Career Connections
University Calendar
This event is open exclusively to Viterbi undergraduate, graduate and doctoral students and facilitates connections between Viterbi students and employers.
Registration Information Coming Soon!
Location: TBD
Time: 10 a.m. - 5 p.m. (PST) | 10:30 p.m. - 5:30 a.m. (IST) | 1 a.m. - 8 a.m. (CST)
For the most up-to-date information on the Career & Internship Expo, visit: https://viterbicareers.usc.edu/careerexpo/Audiences: Everyone Is Invited
Contact: RTH 218 Viterbi Career Connections
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Trojan Talk: Oracle
Wed, Feb 03, 2021 @ 12:00 PM - 01:00 PM
Viterbi School of Engineering Career Connections
University Calendar
*This is an external event hosted by Oracle*
Please join the Oracle NetSuite Diversity Team at one of our upcoming virtual open houses to learn more about NetSuite and explore a career in sales or consulting within the Tech industry.
The sessions will discuss the following:
Our commitment to diversity & inclusion in the workplace
Available full-time opportunities
Q&A with sales and consulting business leaders
Register Here: https://apexapps.oracle.com/pls/apex/f?p=10412:1::::RP,1:P1_EVENT_ID:MVBRWNVODX&cs=1GpP4C37SdUxRZV4CwgdmYk7DwV3ZB3K-kx2fOyrowyxw1aPkBv40i3sEDd-58gc3VP0UJ2CjcWpNqEFocsVDSwAudiences: Everyone Is Invited
Contact: RTH 218 Viterbi Career Connections
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CAIS Seminar: Daniel Leightley (King’s Centre for Military Health Research) - Drinks: Ration: Managing Alcohol Misuse by Automation
Wed, Feb 03, 2021 @ 01:00 PM - 02:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Daniel Leightley, King's Centre for Military Health Research and the NIHR Biomedical Research Centre
Talk Title: Drinks: Ration: Managing Alcohol Misuse by Automation
Series: USC Center for Artificial Intelligence in Society (CAIS) Seminar Series
Abstract: Technological advances within smart phone devices are creating new innovative routes to improve monitoring, delivery, and effectiveness of clinical interventions. In this talk, I will present Drinks: Ration, a smart phone app designed to reduce alcohol misuse in veterans through the application of machine learning and behavioral change theory. This combination enables us to personalize both the content of Drinks: Ration and messaging to promote healthy lifestyle changes in the armed forces community.
Register in advance for this webinar at:
https://usc.zoom.us/webinar/register/WN_87CjZnUESYaB5Z1MR18KwA
After registering, attendees will receive a confirmation email containing information about joining the webinar.
This lecture satisfies requirements for CSCI 591: Research Colloquium.
Biography: Dr. Daniel Leightley is a Post-Doctoral Research Associate at the King's Centre for Military Health Research and the NIHR Biomedical Research Centre. His research focuses on the interface between machine learning and mobile health technologies, specifically focused on diagnosis, treatment, intervention and management of physical and mental health conditions.
Host: USC Center for Artificial Intelligence in Society (CAIS)
Webcast: https://usc.zoom.us/webinar/register/ WN_87CjZnUESYaB5Z1MR18KwALocation: Online Zoom Webinar
WebCast Link: https://usc.zoom.us/webinar/register/ WN_87CjZnUESYaB5Z1MR18KwA
Audiences: Everyone Is Invited
Contact: Computer Science Department
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Undergraduate Advisement Drop-in HoursWed, Feb 03, 2021 @ 01:30 PM - 02:30 PM
Thomas Lord Department of Computer Science
Workshops & Infosessions
Do you have a quick question? The CS advisement team will be available for drop-in live chat advisement for declared undergraduate students in our four majors during the spring semester on Tuesdays, Wednesdays, and Thursdays from 1:30pm to 2:30pm Pacific Time. Access the live chat on our website at: https://www.cs.usc.edu/chat/
Location: Online
Audiences: Undergrad
Contact: USC Computer Science
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Center for Cyber-Physical Systems and Internet of Things and Ming Hsieh Institute Seminar
Wed, Feb 03, 2021 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Ye Zhao, The George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology
Talk Title: Robust Planning and Decision-making for Safe Legged Locomotion
Series: Center for Cyber-Physical Systems and Internet of Things
Abstract: Our society has witnessed the advancement of legged locomotion autonomy and mobility, but they have not become prevalent as autonomous driving and wheeled robot mobility. One crux is the lack of robust, scalable, and real-time planning and decision-making algorithms for these highly complex legged machines with contact-rich behaviors. To address this issue, symbolic planning, logic-based formal method, and distributed optimization are promising yet underexplored for locomotion problems. This talk will present three unique perspectives to quantify uncertainties and reason about robustness in task and motion planning algorithms for highly dynamic legged locomotion. I will start with temporal-logic-based reactive motion planning for whole-body dynamic locomotion in constrained environments and propose robust metrics to enable resilient contact decisions. Following this direction, I will present our recent task planning framework with belief tracking for safe locomotion in partially observable environments. In the end, I will talk about contact-aware trajectory optimization methods that parameterize terrain uncertainties for robust cost design to enhance risk-sensitive locomotion performance.
Biography: Ye Zhao is an Assistant Professor at The George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology. He works on planning and decision-making algorithms of highly dynamic and contact-rich robots. He is especially interested in challenging locomotion and manipulation problems with formal guarantees on robustness and autonomy. He was a Postdoctoral Fellow at Harvard University, and received his Ph.D. degree in Mechanical Engineering from The University of Texas at Austin in 2016. At Georgia Tech, he leads the Laboratory for Intelligent Decision and Autonomous Robots (LIDAR) (http://lab-idar.gatech.edu/). He is also affiliated with the Institute for Robotics and Intelligent Machines (IRIM) and the Decision and Control Laboratory (DCL).
Host: Feifei Qian and Pierluigi Nuzzo
Webcast: https://usc.zoom.us/webinar/register/WN_Qk4-7AthThudso7LXs2OiALocation: Online
WebCast Link: https://usc.zoom.us/webinar/register/WN_Qk4-7AthThudso7LXs2OiA
Audiences: Everyone Is Invited
Contact: Talyia White
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M.S. Group Advisement
Wed, Feb 03, 2021 @ 03:00 PM - 04:00 PM
Thomas Lord Department of Computer Science
Workshops & Infosessions
This optional group advisement session is for new and continuing M.S. Computer Science students and M.S. students in our Data Science Programs. Access instructions will be emailed to students prior to the session.
Location: Online - Zoom
Audiences: Graduate
Contact: USC Computer Science
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AME Seminar
Wed, Feb 03, 2021 @ 03:30 PM - 04:30 PM
Aerospace and Mechanical Engineering
Conferences, Lectures, & Seminars
Speaker: Ali Khosronejad, Stony Brook University
Talk Title: Saliva Particle Transport during Cough & Breathing: Insights on Effective Social Distancing & Face Wearing Gained by LES
Abstract: The Coronavirus disease outbreak of 2019 has been causing significant loss of life and unprecedented economical loss throughout the world. Social distancing and face masks are widely recommended around the globe in order to protect others and prevent the spread of the virus through breathing, coughing, and sneezing. To expand the scientific underpinnings of such recommendations, we carry out high-fidelity computational fluid dynamics simulations of unprecedented resolution and realism to elucidate the underlying physics of saliva particulate transport during human cough and normal breathing with and without facial masks. Our simulations: (a) are carried out under both a stagnant ambient flow (indoor) and a mild unidirectional breeze (outdoor) (b) incorporate the effect of human anatomy on the flow (c) account for both medical and non-medical grade masks; and (d) consider a wide spectrum of particulate sizes. We show that during indoor coughing some saliva particulates could travel up to 0.48 m, 0.73 m, and 2.62 m for the cases with medical-grade, non-medical grade, and without facial masks, respectively. Thus, in indoor environments either medical or non-medical grade facial masks can successfully limit the spreading of saliva particulates to others. Under outdoor conditions with a unidirectional mild breeze, however, leakage flow through the mask can cause saliva particulates to be entrained into the energetic shear layers around the body and transported very fast at large distances by the turbulent flow, thus, limiting the effectiveness of facial masks.
Biography: Short Bio:
1995 -“ 99 BS, Hydraulic Engineering, University of Tehran, Tehran, Iran
1999 -“ 2001 MS, Hydraulic Engineering, Sharif University of Technology, Tehran, Iran
2001 -“ 2006 PhD, Hydraulic Engineering, Tarbiat Modarres University, Tehran, Iran
2004 -“ 2005 Research Assistant, University of Ottawa, Canada
2006 -“ 2009 Assis. Prof., University of Guilan, Rasht, Iran
2006 -“ 2009 Senior Engineer, Dam Rehabilitation Dept., Mahab Ghods Consultant, Tehran, Iran
2009 -“ 2016 Post-Doctoral, St. Anthony Falls Lab., University of Minnesota, Mineapolis, MN
2016 -“ Assis. Prof., Civil Engineering Dept., Stony Brook University, Stony Brook, NY
Published over 40 Journal Articles
PI of research grants from NSF, NIH, Austrian NSF, and California Department of Transportation
Co-PI of research grants from DOE and NYSERDA
Host: AME Department
More Info: https://usc.zoom.us/j/99170932320
Webcast: https://usc.zoom.us/j/99170932320Location: Online event
WebCast Link: https://usc.zoom.us/j/99170932320
Audiences: Everyone Is Invited
Contact: Tessa Yao
Event Link: https://usc.zoom.us/j/99170932320
