SanjayRanka

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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  and a B. Tech. in Computer Science from IIT, Kanpur, India. He has coauthored two books: Elements of Neural Networks (MIT Press) and Hypercube Algorithms (Springer Verlag), 75 journal articles and 125 refereed conference articles. His recent work has received a student best 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 member of IFIP Committee on System Modeling and Optimization. He is the associate Editor-in-Chief of  the Journal of Parallel and Distributed Computing and an associate editor for  IEEE Transactions on Parallel and Distributed Computing, IEEE Transactions on Computers, Sustainable Computing: Systems and Informatics, Knowledge and Information Systems, and  International Journal of Computing.

He  was a past member of the Parallel Compiler Runtime Consortium, the Message Passing Initiative Standards Committee and Technical Committee on Parallel Processing.  He is the program chair for 2010 International Conference on Contemporary Computing and co-general chair for 2009 International Conference on Data Mining and 2010 International Conference on Green Computing. 


Sanjay has had consulting assignments with a number of companies (AT&T Wireless, IBM, Hitachi) and has served as an expert witness in patent disputes.

Recent Selected Professional Activities

  1. Co-General Chair, International Conference on Green Computing, 2011
  2. Co-General Chair, International Conference on Green Computing, 2010
  3. Co-General Chair, International Conference on Data Mining, 2009
  4. Program Chair, International Conference on Contemporary Computing, 2009
  5. Program Chair, International Conference on Contemporary Computing, 2010
  6. Track Chair, ACM Conference on Information and Knowlege Management  2010

Recent Best Paper Awards

  1. Bin Song, Sanjay Ranka, Tamer Kahveci, Enzymatic target identification with dynamic states, International Conference On Bioinformatics and Computational Biology (ACM-BCB), 2010. (Best Student Paper Award).
  2. 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).
  3. 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).
  4. 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).

 

Selected Recent  (Last 3 Years) Publications (Links to my papers (DBLP, Pubmed, CiteSeer) and patents)

Data Mining

  1. Saeed Moghaddam, Ahmed Helmy, Sanjay Ranka and Manas Somaiya,Data-driven Co-clustering Model of Internet Usage in Large Mobile Societies, MSWIM 2010 Conference, to appear.
  2. Mingxi Wu, Bin Song, Chris Jermaine, Sanjay Ranka and John Gums, A Model-Agnostic Framework for Fast Spatial Anomaly Detection, ACM Transactions on Knowledge Discovery and Data Mining, to appear
  3. Manas Somaiya, Christopher Jermaine, and Sanjay Ranka, Mixture Models for Learning Low-dimensional Roles in High-dimensional Data, Proceeding of 2010 ACM KDD conference.
  4. Mingxi Wu, Chris Jermaine, and Sanjay Ranka, A LRT Framework for Fast Spatial Anomaly Detection, ACM Knowledge Discovery and Data Mining 2009, pp. 887-896 (Best Research Paper Runner up Award).
  5. Xiuayao Song, Chris Jermaine, Sanjay Ranka and John Gums, A Bayesian Mixture Model with Linear Regression Mixing Proportions, Proceedings of KDD 2008, pp. 659-667.
  6. Xiuyao Song, Mingxi Wu, Christopher Jermaine, and Sanjay Ranka, Statistical Change Detection for Multi-Dimensional Data, Proceedings of ACM  Knowledge Discovery and Data Mining 2007, pp. 667-676.
  7. 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.
  8. Jun Liu, Sanjay Ranka, and Tamer Kahveci, Classification and Feature selection algorithms for CGH data, Proceedings of Intelligent Systems for Molecular Biology (ISMB) 2008, pp. 86-95, 2008.
  9. Alexandra Martinez, Joachim Hammer, Sanjay Ranka, BioDQ: Data Quality Estimation and Management for Biological Databases, Proceedings of 4-th International Symposium on Bioinformatics Research and Applications, 2008, pp. 469-480.
  10. Jun Liu, Sanjay Ranka, and Tamer Kahveci, Markers improve clustering of CGH data, Bioinformatics, Vol. 23(4) pp. 450-457, 2007.
  11. Xiuyao Song, Mingxi Wu, Christopher Jermaine, Sanjay Ranka. Conditional Anomaly Detection, IEEE Transactions on Data and Knowledge Engineering, Volume 19 (5) ,  pp.631-645, May 2007. 
  12. Jun Liu, Jaaved Mohammed, James Carter, Sanjay Ranka, Tamer Kahveci,  and Michael Baudis, Distance-based clustering of CGH data. Bioinformatics, 22(16):1971–1978, 2006.

Biomedical Informatics

  1. Nirmalya Bandyopadhyay, Tamer Kahveci, Sanjay Ranka, Yijun Sun and Steve Goodison, Pathway based Feature Selection Algorithm for Cancer Microarray Data" Advances in Bioinformatics, to appear.
  2. Bin Song, Esra Buyuktahtakin, Tamer Kahveci and Sanjay Ranka, Manipulating the steady state of metabolic pathways, IEEE/ACM Transactions on Computational Biology and Bioinformatics, to appear.
  3. Bin Song, Padmavati Sridhar, Tamer Kahveci and Sanjay Ranka, Double Iterative Optimization for Metabolic Network-Based Drug Target Identification, International Journal of Data Mining and Bioinformatics, 3:2, pages 124-144, 2009.
  4. Nirmalya Bandyopadhyay, Manas Somaiya, Sanjay Ranka, Tamer Kahveci,  Modeling Perturbations using Gene Networks, International Conference on Computational Systems Biology (CSB), 2010, to appear.
  5. Bin Song, Sanjay Ranka, Tamer Kahveci, Enzymatic target identification with dynamic states, International Conference on Bioinformatics and Computational Biology (ACM-BCB), 2010. (Best student paper award).
  6. Jun Liu, Nirmalya Bandyopadhyay, Sanjay Ranka, Michael Baudis, Tamer Kahveci. Inferring Progression Models for CGH data, Journal of Bioinformatics, Vol. 25:17, pp. 2208-2215, 2009.
  7. Padmavati Sridhar, Bin Song, Tamer Kahveci and Sanjay Ranka, Mining metabolic networks for optimal drug targets, Proceedings of Pacific Symposium on Biocomputing  (PSB) 2008, pp. 291-302.
  8. 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).
  9. Jun Liu, Sanjay Ranka, and Tamer Kahveci, A web server for mining Comparative Genomic Hybridization (CGH) data, AIP Conference Proceedings Volume 953, October 2007, pp. 144-161.
  10. Padmavati Sridhar, Tamer Kahveci and Sanjay Ranka, An iterative algorithm for metabolic network based drug target identification,  Proceedings of Pacific Symposium on Biocomputing (PSB) 2007, pp. 88-99.
  11. Srijit Kamath, Sartaj Sahni, Jatinder Palta, and Sanjay Ranka, Algorithms for optimal sequencing of dynamic multileaf collimators, Physics in Medicine and Biology, 49, 1, pp.  33-54, 2004.
  12. Srijit Kamath, Sartaj Sahni, Jatinder Palta, Sanjay Ranka, and Jonathan Li, Optimal leaf sequencing with elimination of tongue-and-groove underdosage, Physics in Medicine and Biology, 49, 3, 2004, N7-N19.
  13. Srijit Kamath, Sartaj Sahni, Sanjay Ranka,  Jonathan Li, and Jatinder Palta, A comparison of step-and-shoot leaf sequencing algorithms that eliminate tongue-and-groove effect, Physics in Medicine and Biology, 49, 2004, 3137-3143.
  14. Srijit Kamath, Sartaj Sahni, Sanjay Ranka, Jonathan Li, and Jatinder Palta, Optimal field splitting for large intensity-modulated fields, Medical Physics, 31, 12, 2004, 3314-3323.
  15. Srijit Kamath, Sartaj Sahni, Jonathan Li, Jatinder Palta, and Sanjay Ranka, Leaf sequencing algorithms for segmented multileaf collimation, Physics in Medicine and Biology, 48, 3, 2003, 307-324. 

Parallel and Distributed Computing and Networks

  1. Eun-Sung Jung, Sanjay Ranka, Sartaj Sahni, Topology Aggregation for E-science Networks, 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing, 2010, pp. 530-533.
  2. Eun-Sung Jung, Sanjay Ranka, Sartaj Sahni, "Bandwidth Allocation for Iterative Data-Dependent E-science Applications,, 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing, 2010, pp.233-242
  3. Zhe Wang, Sanjay Ranka and Ye Xia,    Slotted Wavelength Scheduling for Bulk Transfers in Research Networks, 2009 International Conference on Parallel Processing, pp. 317-324.
  4. Jaeyeon Kang and Sanjay Ranka, Dynamic Slack Allocation Algorithms for Energy Minimization on   Parallel Machines. Journal of Parallel and Distributed Computing, Vol. 70(5), pp. 417-430, 2010.
  5. Jaeyeon Kang and Sanjay Ranka, Slack allocation algorithms for parallel machines. Journal of Parallel and Distributed Computing, Vol. 70(1), pp. 23-24, 2010.
  6. 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, Vol. 69 (12), pp. 950-960, 2009.
  7. Kannan Rajah, Sanjay Ranka, Ye Xia, Advance Reservation and Scheduling for Bulk Transfers in Research Networks, IEEE Transactions on Parallel and Distributed Systems, Vol. 20(11), pp. 1682-1697, 2009.
  8. 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).
  9. Kannan Rajah, Sanjay Ranka and Ye Xia, Scheduling Bulk File Transfer with Start and End Times, Scheduling Bulk File Transfers with Start and End  Times, Computer Networks, Vol 52(5), April 2008, pp. 1105-1122.
  10. Laukik Chitnis, Alin Dobra and Sanjay Ranka. Aggregation Methods for Large Scale Sensor Networks. ACM Transactions on Sensor Networks, Volume 4 ,  Issue 2, pp. 1-36,  March 2008.
  11. Jaeyeon Kang and Sanjay Ranka, Dynamic Algorithms for Energy Minimization on Parallel Machines., Proceeding of Euromicro International Conference on Parallel, Distributed and network-based Processing (PDP), 2008, pp. 399-406.
  12. Jaeyeon Kang, Sanjay Ranka: Energy-Efficient Dynamic Scheduling on Parallel Machines. HiPC –International Conference on High Performance Computing, 2008: 208-219
  13. Yan Li, Sanjay Ranka, Sartaj Sahni: In-advance path reservation for file transfers In e-Science applications. IEEE Symposium on Computers and Communications  2009: 176-181
  14. Eun-Sung Jung, Yan Li, Sanjay Ranka and Sartaj Sahni, Performance Evaluation of Routing and Wavelength Assignment Algorithms For Optical Networks, IEEE Symposium on Computers and Communications, 62-67, 2008.
  15. Eun-Sung Jung, Yan Li, Sanjay Ranka, Sartaj Sahni: An Evaluation of In-Advance Bandwidth Scheduling Algorithms for Connection-Oriented Networks. The International Symposium on Parallel Architectures, Algorithms, and Networks  2008,  pp. 133-138, 2008.
  16. Parbati Manna, Sanjay Ranka and Shigang Chen, Analysis of Maximum Executable Length for Detecting Text-based Malware, Proceedings of International Conference on  Distributed Computing Systems (ICDCS 2008), pp. 176-183, 2008.
  17. Parbati Manna, Shigang Chen and Sanjay Ranka, Exact Modeling of Propagation for Permutation-Scanning Worms, Proceedings of IEEE INFOCOM 2008, pp. 1696-1704.
  18. Parbat Manna, Shigang Chen and Sanjay Ranka, DAWN: A Novel Strategy for Detecting ASCII Worms in Networks, Proceedings of IEEE INFOCOM 2008, pp. 2315-2323.
  19. Jaeyeon Kang and Sanjay Ranka, DVS based Energy Minimization Algorithm for Parallel Machines, Proceedings of IEEE International Parallel and Distributed Processing Symposium, 2008, pp. 1-12.
  20. Ishfaq Ahmad, Sanjay Ranka, Samee Ullah Khan: Using game theory for scheduling tasks on multi-core processors for simultaneous optimization of performance and energy. Proceedings of IEEE International Parallel and Distributed Processing Symposium, 2008, pp. 1-6.
  21. 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 International Conference on Networking ( ICN) 2007 pp. 47-57 (best paper award).
  22. Laukik Chitnis, Alin Dobra and Sanjay Ranka. Analyzing the multiple aggregation trees technique for fault tolerance in sensor networks. Proc. of International Conference on Information Systems, Technology and Management (ICISTM 2007), March 2007.
  23. Kannan Rajah, Sanjay Ranka and Ye Xia, Scheduling Bulk File Transfer with Start and End Times, Proceedings of IEEE International Symposium on Network Computing and Applications (IEEE NCA07), pp. 295-298.

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