Select a calendar:
Filter April Events by Event Type:
Events for April 04, 2022
-
CS Undergraduate Web Registration Live Chat AssistanceMon, Apr 04, 2022 @ 09:00 AM - 09:30 AM
Thomas Lord Department of 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
Contact: USC Computer Science
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor.
-
CS Colloquium: Paul Schmitt (USC ISI) - Networked Systems for a Modern, Private Internet
Mon, Apr 04, 2022 @ 10:00 AM - 11:00 AM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Paul Schmitt, USC ISI
Talk Title: Networked Systems for a Modern, Private Internet
Abstract: Users expect that the networks and protocols they use protect their privacy. Unfortunately, many ubiquitous legacy systems have significant privacy flaws. Network operators face a different challenge: widespread adoption of encryption, while a clear benefit to users, reduces operator visibility into traffic flowing through their networks. In this talk, I discuss networked systems to enhance user privacy and systems and techniques for privacy-preserving network traffic analysis. I describe my research that leverages key architectural points of decoupling to enhance privacy in the global DNS ecosystem and in mobile networks. I then discuss systems I have built for privacy-preserving network analysis for use by network operators to gain insight into network usage and performance, all without breaking encryption.
This lecture satisfies requirements for CSCI 591: Research Colloquium
Biography: Paul Schmitt is a research computer scientist at ISI. His research areas include networked systems, privacy, network traffic inference and analysis, and scalable Internet measurement. His work takes a dirty-slate approach to networked systems research, allowing for compatibility and immediate deployability in current environments. He previously received his PhD from UC Santa Barbara in 2017 and was an associate research scholar at Princeton University.
Host: John Heidemann
Audiences: Everyone Is Invited
Contact: Cherie Carter
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
CAIS Seminar: David Eddie (Massachusetts General Hospital) - Towards a biosensor-driven, just-in-time relapse prevention tool for substance use disorder: Identifying neurocardiac biomarkers of stress and relapse risk
Mon, Apr 04, 2022 @ 11:00 AM - 12:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: David Eddie, Massachusetts General Hospital
Talk Title: Towards a biosensor-driven, just-in-time relapse prevention tool for substance use disorder: Identifying neurocardiac biomarkers of stress and relapse risk
Series: USC Center for Artificial Intelligence in Society (CAIS) Seminar Series
Abstract: Substance use disorders carry tremendous personal and societal costs, and despite best patient and clinical efforts, relapse is common. Much research has sought to identify psychosocial risk factors for addiction relapse, but much less attention has been paid to how psychophysiological impairment may confer risk. In this talk, I will highlight how stress and central autonomic network dysregulation reflected by reduced heart rate variability (HRV) may heighten risk for individuals in early alcohol use disorder (AUD) recovery, showing that HRV can be used to predict subsequent alcohol use. I will also show preliminary findings from a study that aims to use smartwatches and machine learning to identify stress states, with the goal of developing a just-in-time relapse prevention tool for individuals in early recovery from substance use disorder.
Register in advance for this webinar at:
https://usc.zoom.us/webinar/register/WN_Hcft0t87RQqrca66W5c8ug
After registering, attendees will receive a confirmation email containing information about joining the webinar.
This lecture satisfies requirements for CSCI 591: Research Colloquium.
Biography: David Eddie, Ph.D. is a research scientist at Massachusetts General Hospital's Recovery Research Institute and Center for Addiction Medicine, a clinical psychologist in Massachusetts General Hospital's Department of Psychiatry, and an assistant professor at Harvard Medical School. His current projects include an NIAAA supported study developing a biosensor driven just-in-time intervention for substance use disorders, and a NIDA supported project assessing the efficacy of a novel mutual-help addiction recovery program based on physical activity.
Host: USC Center for Artificial Intelligence in Society (CAIS)
Webcast: https://usc.zoom.us/webinar/register/WN_Hcft0t87RQqrca66W5c8ugLocation: Online - Zoom Webinar
WebCast Link: https://usc.zoom.us/webinar/register/WN_Hcft0t87RQqrca66W5c8ug
Audiences: Everyone Is Invited
Contact: Computer Science Department
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor.
