Overview: 

Research in high performance and data science has become an important avenue for novel discoveries in a number of science, engineering, and defense applications. Many of these applications generate gigabytes to terabytes of data per day, require petaflops to exaflops of computing power and are spatiotemporal in nature. Large-scale processing and mining of these applications require careful understanding of the underlying spatial and temporal locality and relationships.

In this talk, Sanjay Ranka will present research on the development of performance and/or energy efficient algorithms as well as software for such applications in numerical analysis, computational fluid dynamics, urban transportation, and remote sensing. This research is funded in part by NSF, AFOSR, NNSA, and the Florida Department of Transportation.

About Sanjay Ranka:

Sanjay Ranka is a professor in the department of Computer Information Science and Engineering at University of Florida. His current research interests are high performance and parallel computing with a focus on energy efficiency; and big data science with a focus on data mining/machine learning algorithms for spatiotemporal applications. His work is driven by applications in CFD, remote sensing, health care and transportation. He teaches courses on algorithms, data science and parallel computing.

From 1999-2002, he was the chief technology officer at Paramark (Sunnyvale, Calif). At Paramark, he developed a real-time optimization service called PILOT for marketing campaigns. Paramark was recognized by VentureWire/Technologic Partners as a top 100 Internet technology company in 2001 and 2002, and it was acquired in 2002. He has also held positions as a tenured faculty at Syracuse University and as a visitor at IBM T.J. Watson Research Labs.

Sanjay earned his Ph.D. (Computer Science) from the University of Minnesota and a B. Tech. in Computer Science from IIT, Kanpur, India. He has co-authored four books, 230+ journal and refereed conference articles. His recent co-authored work received a best paper award at BICOB 2014, best student paper award at ACM-BCB 2010, best paper runner-up award at KDD-2009, a nomination for the Robbins Prize for the best paper in journal of Physics in Medicine and Biology for 2008, and a best paper award at ICN 2007.

He is a fellow of the IEEE and AAAS, and a past member of IFIP Committee on System Modeling and Optimization. He is an associate editor-in-chief of the Journal of Parallel and Distributed Computing and an associate editor for ACM Computing Surveys, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Sustainable Computing: Systems and Informatics, Knowledge and Information Systems, and International Journal of Computing. Additionally, he is a book series editor for CRC Press for Bigdata. In the past, he has been an associate editor for IEEE Transactions on Parallel and Distributed Systems and IEEE Transactions on Computers.

He was the program chair for 2015 High Performance Computing, 2013 International Parallel and Distributed Processing Symposium, 2010 International Conference on Contemporary Computing and co-general chair for 2009 International Conference on Data Mining and 2010 International Conference on Green Computing.