Zoran Obradovic, Laura H. Carnell Professor of Data Analytics
Data Analytics and Biomedical Informatics Center,
Computer and Information Sciences Department,
An overview of our ongoing projects aimed to facilitate predictive analytics in complex systems observed over time will be presented in this talk. Challenges and the proposed solutions will be discussed related to exploiting temporal dependencies among pairs of patterns in time-series subsequences for improved classification. The talk will also include discussion on how to learn a compact structure-aware representation of the attributed networks and how to capture the temporal dynamics exhibited in such networks. Reported results are based on the following papers:
- Roychoudhury, S. Zhou, F., Obradovic, Z. “Leveraging Subsequence-orders for Univariate and Multivariate Time-series Classification,” Proc. 19th SIAM Int’l Conf. Data Mining, Calgary, Canada, May 2019.
- Han, C., Cao, X.H., Stanojevic, M., Ghalwash, M., Obradovic, Z. “Temporal Graph Regression via Structure-Aware Intrinsic Representation Learning,” Proc. 19th SIAM Int’l Conf. Data Mining, Calgary, Canada, May 2019.
Zoran Obradovic is an Academician at the Academia Europaea (the Academy of Europe) and a Foreign Academician at the Serbian Academy of Sciences and Arts. He is a L.H. Carnell Professor of Data Analytics at Temple University, Professor in the Department of Computer and Information Sciences with a secondary appointment in Department of Statistical Science and is the Director of the Center for Data Analytics and Biomedical Informatics. His research interests include data science and complex networks in decision support systems. Zoran is the editor-in-chief at the Big Data journal and the steering committee co-chair for the SIAM Data Mining conference. He is also the editorial board member at 13 journals and was the general chair, program chair or a track chair for 11 international conferences. He has published more than 370 articles and is cited more than 23,000 times (H-index 55).
For more details see http://www.dabi.temple.edu/~zoran