Speaker: Cyrus Shahabi, USC
In this talk, we 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, we will underscore the sensitivity of this data, exacerbated by growing privacy concerns, potentially hindering its accessibility. Therefore, we 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, we will wrap up by discussing new ways to use location data in the future, along with the open challenges and questions we need to address.
The AI Research for Health seminar features AI and health researchers presenting their research on AI and Data Science with an impact on human health. The goal is to foster new collaborations among researchers in these fields.
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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.