Deep Learning Models for Time Series Data Analysis with Applications to Healthcare

Thursday, May 4, 2017, 11:00 am - 12:00 pm PDTiCal
11th floor large conference room
This event is open to the public.
AI Seminar
Yan Liu, USC

Many emerging applications of big data involve time series data. We'll discuss a collection of deep learning models to effectively analyze and model large-scale time series data. We'll show experiment results to demonstrate the effectiveness of our models in healthcare.



Yan Liu is an associate professor in Computer Science Department at University of Southern California from 2010. Before that, she was a Research Staff Member at IBM Research. She received her M.Sc and Ph.D. degree from Carnegie Mellon University in 2004 and 2007. Her research interest includes developing scalable machine learning and data mining algorithms for time series data and structured data with applications to social media analysis, computational biology, climate modeling and health care. She has received several awards, including NSF CAREER Award, Okawa Foundation Research Award, ACM Dissertation Award Honorable Mention, Best Paper Award in SIAM Data Mining Conference, Yahoo, IBM and Facebook Faculty Award and the winner of several data mining competitions, such as KDD Cup and INFORMS data mining competition.

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