Data intensive computing/communication and data mining

  

Dr. Sanjay Ranka

 

"Data driven research has become an important avenue for novel discoveries in a number of scientific, engineering, and medical and government applications. These applications generate gigabytes to terabytes of data per day. Storing, processing, exploration and mining of this data to make new scientific discoveries, improve quality of health care and detect disease outbreaks are the focus of my research. I seek to exploit the rich interdependence between theory and practice of computer science to provide effective solutions to these data intensive applications."


Sanjay Ranka is a Professor in the Department of Computer Science. His current research interests are data mining, informatics and grid computing for data intensive applications in High Energy Physics, BioTerrorism and BioMedical Computing. Most recently he was the Chief Technology Officer at Paramark where he developed real-time optimization software for optimizing marketing campaigns. Sanjay has also held positions as a tenured faculty position at Syracuse University and as a researcher/visitor at IBM T.J. Watson Research Labs and Hitachi America Limited.

Sanjay earned his Ph.D. (Computer Science) from the University of Minnesota in 1988 and a B. Tech. in Computer Science from IIT, Kanpur, India in 1985. He has coauthored two books: Elements of Neural Networks (MIT Press) and Hypercube Algorithms (Springer Verlag), 50+ journal articles and 80+ refereed conference articles. He serves on the editorial board of the Journal of Parallel and Distributed Computing and was a past member of the Parallel Compiler Runtime Consortium and the Message Passing Initiative Standards Committee. He was one of the main architects of the Syracuse Fortran 90D/HPF compiler. He is a fellow of the IEEE and AAAS, advisory board member of IEEE Technical Committee on Parallel Processing and a member of IFIP Committee on System Modeling and Optimization.