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Events for February 02, 2022
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Viterbi Employer Mock Interviews
Wed, Feb 02, 2022 @ 10:00 AM - 04:00 PM
Viterbi School of Engineering Career Connections
Workshops & Infosessions
Get a 1:1 mock interview with an employer!
This event connects employer representatives and alumni with engineering students to help them refine their behavioral interviewing and networking skills.
Location: Virtual or On-Campus
Audience: All Viterbi Students
For more information: https://viterbicareers.usc.edu/students/events/mock-interviews-student/
Location: Virtual or On-Campus
Audiences: All Viterbi Students
Contact: RTH 218 Viterbi Career Connections
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Center of Autonomy and AI, Center for Cyber-Physical Systems and the Internet of Things, and Ming Hsieh Institute Seminar Series
Wed, Feb 02, 2022 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Jie Gao, Department of Computer Science, Rutgers University
Talk Title: Protecting Data Privacy in an Increasingly Connected World
Series: Center for Cyber-Physical Systems and Internet of Things
Abstract: Ubiquitous sensing, wireless communication and distributed computation have transformed the way we interact with the physical world. While we celebrate the convenience and the improved quality of life having smart devices around us, the data collection practices have moved from remote fields to private living environments and work spaces; and data collected have also shifted from non-sensitive scientific data to personal, sensitive data that is closely related to the user's health conditions, emotional states, physical activities and social relationships. In this talk I will review some of our recent work on protecting privacy of sensitive data by minimalist-style sensing and targeted data perturbation, as well as fundamental challenges/impossibility results regarding data privacy and utility.
Biography: Professor Jie Gao is currently Professor in Department of computer science, Rutgers University. She was on the faculty of Computer Science department at Stony Brook University from 2005-2019. She received B.Eng from the Special Class of the Gifted Young, University of Science and Technology of China in 1999, Ph.D in Computer Science from Stanford University in 2004 and was a postdoc at Caltech from 2004-2005. She received the NSF career award in 2006, IMC best paper award (2009), EWSN best paper award (2021) and multiple Research Excellence Awards in computer science department of Stony Brook. She is currently serving on the editorial board of ACM Transactions on Sensor Networks, International Journal of Computational Geometry and Applications and IEEE Transactions on Network Science and Engineering. She published over 140 referred papers in computer networking and theoretical computer science fields, and has graduated 17 Ph.D students.
Host: Pierluigi Nuzzo and Bhaskar Krishnamachari
Webcast: https://usc.zoom.us/webinar/register/WN_zyIBh_1gQLmKpMJG0GyLxwLocation: Online
WebCast Link: https://usc.zoom.us/webinar/register/WN_zyIBh_1gQLmKpMJG0GyLxw
Audiences: Everyone Is Invited
Contact: Talyia White
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AME Seminar
Wed, Feb 02, 2022 @ 03:30 PM - 04:30 PM
Aerospace and Mechanical Engineering
Conferences, Lectures, & Seminars
Speaker: Artur Tyliszczak, CzÄstochowa University of Technology, CzÄstochowa, Slaskie, Poland
Talk Title: Passive and Active Control of Turbulent Jets and Flames -” A CFD Research
Abstract: Interest in flow control techniques is driven by a possible improvement of performance, safety and efficiency of various technical devices. Existing strategies of steering and controlling fluid flows can be divided into two approaches: passive and active. The former is based on shaping the flow domains and is usually optimized for specific flow conditions. The latter requires an external energy input (an excitation, forcing), which can be varying in response to the instantaneous flow behavior. The active methods are thus more costly but also much more flexible. Under a variety of different flow regimes, they result in a better overall response than the passive methods. In this talk, I will focus on the CFD study of passive and active control applications for jets and flames. In the latter case, proper flow control is especially important as the efficiency of combustion processes is directly related to fuel-oxidizer mixing -” a process, which we would like to have under full control. I will discuss to what extent the flow field can be modified and controlled by the selection of shapes of jet nozzles or tuning of excitation parameters.
Biography: Artur Tyliszczak is a Professor in the Faculty of Mechanical Engineering and Computer Science at CzÄstochowa University of Technology (CUT) in Poland. He leads the CFD Research Group. He earned an M.S. degree in Mechanical Engineering in 1997 from the CUT and a PhD degree in 2002 from the CUT and von Karman Institute for Fluid Dynamics (Belgium). He worked at Cambridge University (UK) as a Marie-Curie Experienced Researcher (2010-2011) and a visiting professor (2016). His group works on the development of high-order numerical methods for CFD and their applications for open and near-wall non-reacting and reacting flows. Currently, his main research concentrates on passive and active flow control in jet type flows and flows in porous and granular layers. Artur Tyliszczak is a recipient of prestigious individual awards from the Polish scientific community, the Ministry of Science and Education, the Polish Academy of Science, the Polish Association of Theoretical and Applied Mechanics. Recently he received a Senior Award from the Fulbright Commission for his stay at USC.
Host: AME Department
More Info: https://usc.zoom.us/j/93987337017?pwd=MWd2dXBSL1FaR1RPaHNscjJ1NW80UT09
Webcast: https://usc.zoom.us/j/93987337017?pwd=MWd2dXBSL1FaR1RPaHNscjJ1NW80UT09Location: James H. Zumberge Hall Of Science (ZHS) - 252
WebCast Link: https://usc.zoom.us/j/93987337017?pwd=MWd2dXBSL1FaR1RPaHNscjJ1NW80UT09
Audiences: Everyone Is Invited
Contact: Tessa Yao
Event Link: https://usc.zoom.us/j/93987337017?pwd=MWd2dXBSL1FaR1RPaHNscjJ1NW80UT09
