Dr. Zoran Obradovic, Laura H. Carnell Professor of Data Analytics
Data Analytics and Biomedical Informatics Center, Computer and Information
Sciences Department, Statistics Department Temple University, PA, USA
Abstract: Sepsis, a severe complication of pathogen infection that triggers systemic inflammatory response and can lead quickly to multiple organs damage, is recognized as one of the leading causes of in-hospital death. The results obtained on our ongoing DARPA funded project provide evidence that spectacular mortality rate reduction can be achieved by early interpretable diagnostics provided with uncertainty estimates followed by a combined therapy that includes precisely optimized pathogen reduction and hemoadsorption based blood cleansing interventions.
Biography: Zoran Obradovic 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 applications in health management and other complex decision support systems. Zoran is the executive editor at the journal on Statistical Analysis and Data Mining, which is the official publication of the American Statistical Association and is an editorial board member at eleven journals. He was general co-chair for 2013 and 2014 SIAM International Conference on Data Mining and was the program or track chair at many data mining and biomedical informatics conferences. In 2014-2015 he chaired the SIAM Activity Group on Data Mining and Analytics. His work is published in more than 320 articles and is cited about 16,400 times (H-index 48). For more details see http://www.dabi.temple.edu/~zoran/
"The Future of Big Data: More than Just a Trend?"
Abstract: Since the first being coined in 2005, big data has been used to describe a number of emergent phenomena regarding datasets that are too large for conventional management, analytics or knowledge discovery techniques. Recognizing that the term is now more than 10 years old, we explore 4 expert perspectives on how big data has shaped and is shaping different disciplines and industries. We also discuss some challenges and opportunities to conducting research in the field and how new frontiers may shape what’s to come.
- Mark Fraser, Executive Vice President (T4G)
- Dr. Stan Matwin, Professor and Director of the Institute for Big Data Analytics (Dalhousie University)
- Dr. Zoran Obradovic, Laura H. Carnell Professor of Data Analytics (Temple University)
- Dr. Peter W. Vaughan, Deputy Minister of Health and Wellness (Government of Nova Scotia)
DCSI 2016 is now open for registration. Registration deadline: September 25th, 2016.