Events Calendar

AI SEMINAR

Speaker: Jie Xu, Assistant Professor at University of Miami

Talk Title: Real time knowledge discovery and decision making

Series: AI Seminar

Abstract: As the world becomes ever more connected and instrumented, decision makers have ever more rapid access to ever changing and growing streams of data, but this makes the decision makers problems ever more complex as well, because it is impossible to learn everything in the time frame in which decisions must be made. What the decision maker must do, therefore, is to discover in real time what is relevant in the enormous stream of data and use the relevant information to make good decisions. This talk presents a systematic framework and associated algorithms that enable a decision maker to do this, and shows how to use them in real time traffic prediction as an application scenario. One key challenge in traffic prediction is how much to rely on prediction models that are constructed using historical data in real time traffic situations. Our decision framework learns from the current traffic situation in real time and predicts the future traffic by matching the current situation to the most effective prediction model. The algorithms we propose yield strong performance guarantees for both the long run and the short run. The applications are numerous besides traffic prediction, including patient monitoring, surveillance, social networks etc.

Biography: Jie Xu is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Miami. His research mainly focuses on game theory and learning theory. His interests lie in both developing the theory in these areas and applying it in real world engineering systems, including communication networks, cyber-security systems, online social platforms and healthcare informatics. Jie received his BS and MS degrees in Electronic Engineering from Tsinghua University in China in 2008 and 2010, respectively, and a PhD degree in Electrical Engineering from University of California, Los Angeles (UCLA) in 2015. In 2014, he was with IBM T. J. Watson Research Center where he interned in the Clinical Stream Analytics team during the summer. Jie is a recipient of Distinguished PhD Dissertation Award at UCLA.

Webcast will be LIVE Broadcast ONLY (no recording):
http://webcasterms1.isi.edu/mediasite/Viewer/?peid=f1e4af9691fe4b2882a98b305b02458c1d

Host: Linhong Zhu

Location: Information Science Institute (ISI) - 11th floor Large CR

Audiences: Everyone Is Invited

Contact: Alma Nava / Information Sciences Institute