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Events for October 23, 2023
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AI4Health Center: Cyrus Shahabi (USC) - Privacy-preserving Release of Location Data for Health Applications
Mon, Oct 23, 2023 @ 11:00 AM - 12:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Cyrus Shahabi, USC
Talk Title: Privacy-preserving Release of Location Data for Health Applications
Series: AI4Health Center
Abstract: In this talk, I will discuss how location data is crucial for various health applications, such as preparing for pandemics, finding early signs of Alzheimer's disease, and measuring human performance. At the same time, I will underscore the sensitivity of this data, exacerbated by growing privacy concerns, potentially hindering its accessibility. Therefore, I will survey various strategies aimed at protecting location privacy, all the while preserving the utility of these applications.
Of particular focus will be our utilization of advanced deep neural network techniques for the release of private aggregated location data and the generation of synthetic location visit sequences. Finally, I'll wrap up by discussing new ways to use location data in the future, along with the open challenges and questions we need to address.
Biography: Cyrus Shahabi is a Professor of Computer Science, Electrical & Computer Engineering, and Spatial Sciences; Helen N. and Emmett H. Jones Professor of Engineering; and the director of the Integrated Media Systems Center (IMSC) at USC. He was also the chair of the Thomas Lord Department of Computer Science at USC from 2017 to 2022. He was co-founder of two USC spin-offs, Geosemble Technologies and Tallygo. He authored two books and more than three hundred research papers in databases, GIS, and multimedia with 14 US Patents. Dr. Shahabi chaired the founding nomination committee of ACM SIGSPATIAL for its first term (2008-2011 term) and served as the chair of ACM SIGSPATIAL for the 2017-2020 term. He was an Associate Editor of IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Knowledge and Data Engineering, and VLDB Journal. He is currently Editor in Chief of PVLDB Vol. 17 (PC Chair of VLDB 2024) and on the editorial board of the ACM Transactions on Spatial Algorithms and Systems and ACM Computers in Entertainment. Dr. Shahabi is a recipient of the ACM Distinguished Scientist award, the U.S. Presidential Early Career Awards for Scientists and Engineers (PECASE), and the NSF CAREER award. He is a fellow of the National Academy of Inventors (NAI) and IEEE.
Host: Michael Pazzani (ISI)
More Info: https://www.isi.edu/events/4218/privacy-preserving-release-of-location-data-for-health-applications/
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: CS Faculty Affairs
Event Link: https://www.isi.edu/events/4218/privacy-preserving-release-of-location-data-for-health-applications/
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CS Teaching Faculty Meeting
Mon, Oct 23, 2023 @ 12:00 PM - 02:00 PM
Thomas Lord Department of Computer Science
University Calendar
Meeting for invited full-time Computer Science teaching faculty only. Event details emailed directly to attendees.
Location: Henry Salvatori Computer Science Center (SAL) - 322
Audiences: Invited Faculty Only
Contact: Melissa Ochoa
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PhD Thesis Proposal - Pei Zhou
Mon, Oct 23, 2023 @ 03:30 PM - 05:00 PM
Thomas Lord Department of Computer Science
University Calendar
PhD Thesis Proposal - Pei Zhou
Committee Members: Xiang Ren (Chair), Jay Pujara, Toby Mintz, Jesse Thomason, Jieyu Zhao
Title: Common Ground Reasoning for Communicative Agents
Abstract: Conversational AIs have received much attention due to the advent of large language model-powered chatbots such as ChatGPT. Recent studies have also focused on the potential of building AI agents that can interact with humans and the world. However, challenges remain unsolved for AI models to become capable communicative agents including understanding implicit intents and reaching goals. This thesis proposal outlines my research aiming to tackle these challenges by teaching models to reason to build common ground to become better communicators. Specifically, I focus on 1) enhancing conversational models with common ground knowledge; 2) modeling theory-of-mind capabilities to build goal-driven dialogue agents; and 3) augmenting planning capabilities in multi-round interactions. I will also discuss future directions including can we teach models to self-discover reasoning structures to adapt to unseen scenarios and can models benefit from memory modules to store and generate new insights from prior experienceAudiences: Everyone Is Invited
Contact: Melissa Ochoa
Event Link: https://usc.zoom.us/j/2065614640
