Sanjay Ranka is a Professor in the Department of Computer Information Science and Engineering at University of Florida. His current research interests are energy efficient computing, high performance computing,  data mining and informatics. 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 positions 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), 70 journal articles and 110 refereed conference articles. His recent work has received best paper runner up award at KDD-2009, a best paper award at ICN 2007, and a nomination for the 2008 Robbins Prize for the best paper in journal of Physics in Medicine and Biology.

 He is a fellow of the IEEE and AAAS, and a member of IFIP Committee on System Modeling and Optimization. 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 also one of the main architects of the Syracuse Fortran 90D/HPF compiler. He is the program chair for 2010 International Conference on Contemporary Computing and co-general chair for 2009 International Conference on Data Mining. 

1. General Chair, International Conference on Data Mining, 2009

2. Program Chair, International Conference on Contemporary Computing, 2009

3. Program Chair, International Conference on Contemporary Computing, 2010

Selected Recent Publications (Links to my papers (DBLP, Pubmed, CiteSeer) and patents)

1. Mingxi Wu, Xiuyao Song, Chris Jermaine, Sanjay Ranka, John Gums: A LRT framework for fast spatial anomaly detection. KDD 2009: 887-896 (Best Paper Runner up Award: Research Category).
2. Srijit Kamath, Sartaj Sahni, Sanjay Ranka, Jonathan Li, and Jatinder Palta, Generalized field-splitting algorithms for optimal IMRT delivery efficiency, Physics in Medicine and Biology, 52, 2007, 5483-5496  (nominated for the 2008 Robbins Prize, given to the best paper in the journal of Physics in Medicine and Biology).
3. Sartaj Sahni, Nageshwara Rao, Sanjay Ranka, Yan Li, Eun-Sung Jung, Nara Kamath, Bandwidth Scheduling and Path Computation Algorithms for Connection-Oriented Networks, Proceedings of  ICN 2007 (Best paper award).
4. Parbati Manna, Shigang Chen and Sanjay Ranka, Inside the Permutation-Scanning Worm: Propagation Modeling and Analysis, IEEE/ACM Transactions on Networking, to appear.
5. Bin Song, Tamer Kahveci and Sanjay Ranka, Manipulating the steady state of metabolic pathways, IEEE/ACM Transactions on Computational Biology and Bioinformatics to appear.
6. Jaeyeon Kang and Sanjay Ranka, Slack allocation algoirthms for parallel machines. Journal of Parallel and Distributed Computing, to appear.
7. Laukik Chitnis, Alin Dobra and Sanjay Ranka. Analyzing the techniques that improve fault tolerance of aggregation trees in sensor networks. Journal of Parallel and Distributed Computing, 69(2): 210-219 (2009).
8. Jun Liu, Nirmalya Bandyopadhyay, Sanjay Ranka, Michael Baudis, Tamer Kahveci. Inferring Progression Models for CGH data, Journal of Bioinformatics, 25(17): 2208-2215 (2009).
9. Kannan Rajah, Sanjay Ranka, Ye Xia, Advance Reservation and Scheduling for Bulk Transfers in Research Networks, IEEE Transactions on Parallel and Distributed Systems, December 2008.
10. Laukik Chitnis, Alin Dobra, and Sanjay Ranka, Fault tolerant aggregation in heterogeneous sensor networks. Journal of Parallel and Distributed Computing. Vol 69(2): 210-219 (2009).
11. Kannan Rajah, Sanjay Ranka and Ye Xia, Scheduling Bulk File Transfer with Start and End Times,  Computer Networks, Vol 52(5), April 2008, pp. 1105-1122.
12. Laukik Chitnis, Alin Dobra and Sanjay Ranka. Aggregation Methods for Large Scale Sensor Networks. ACM Transactions on Sensor Networks, Volume 4 ,  Issue 2  (March 2008).
13. Manas Somaiya, Chris Jermaine and Sanjay Ranka, Learning Correlations Using the Mixture-Of-Subsets Model. ACM Transactions on Knowledge Discovery from Data, Volume 1, Number 4, 2008, pp 1-42.