Sahin Cem Geyik

Computer Science Department
Rensselaer Polytechnic Institute
TROY, NY, 12180
email: sahincem2001@yahoo.com & sahin.geyik@turn.com


I have successfully completed and defended my Ph.D. Thesis
Started working at Turn Inc. as an Applied Scientist.

Biography

Resume

Research Interests

  • Machine Learning and Grammatical Structures
  • Online Ad Selection and Recommender Systems
  • Application of Grammars to Network Data Modeling
  • Service Composition and Service Oriented Architectures
  • Market Mechanisms for Pervasive and Mobile Applications
  • Wireless Sensor Network Protocols
  • Target Tracking in Wireless Sensor Networks

Past Projects

  • International Technology Alliance (ITA)
  • Social and Cognitive Networks Academic Research Center(SCNARC)

Teaching Assistantship

  • Fall 2008: Data Structures and Algorithms
  • Fall 2007: Data Structures and Algorithms

Publications

Journals

1. S. C. Geyik, S. Y. Shah, B. K. Szymanski, and P. Zerfos, “Market Mechanisms for Resource Allocation in Pervasive Sensor Applications”, Elsevier Pervasive Mobile Computing Journal, vol. 8, iss. 3, June 2012, pp. 346-357.

2. S. C. Geyik, E. Bulut, and B. Szymanski, “Grammatical Inference for Modeling Mobility Patterns in Networks”, IEEE Transactions on Mobile Computing, in print.

3. S. C. Geyik, B. Szymanski, and P. Zerfos, “Robust Dynamic Service Composition in Sensor Networks”, IEEE Transactions on Services Computing, in print.

4. E. Bulut, S. C. Geyik, and B. Szymanski, “Exploiting Correlated Node Mobility for Efficient DTN Routing”, Submitted to IEEE Transactions on Mobile Computing, July 2011.

Conferences

1. S. Geyik, E. Bulut, and B. Szymanski, “Utilizing PCFGs for Modeling and Learning Service Compositions in Sensor Networks”, 9th International Conference on Service Computing, IEEE SCC 2012.

2. R. Dilmaghani, S. Geyik, K. Grueneberg, J. Lobo, S. Y. Shah, B. K. Szymanski, P. Zerfos, “Policy-aware Service Composition in Sensor Networks”, 9th International Conference on Service Computing, IEEE SCC 2012.

3. S. Geyik, B. Szymanski, P. Zerfos, and A. Mowshowitz, “Sensor Service Selection through Switch Options”, 8th International Conference on Service Computing, IEEE SCC 2011.

4. C. Gibson, J. Ibbotson, D. Braines, T. Klapiscak, B. K. Szymanski, and S. Geyik, “Model-driven SOA for Sensor Networks”, Proc. SPIE 8047: The Defense, Security and Sensing Symposium 2011, Orlando, FL 25-29 April 2011.

5. B. K. Szymanski, S. Y. Shah, S. Geyik, S. Das, M. Chhabra, and P. Zerfos, “Market Mechanisms for Value of Information Driven Resource Allocation in Sensor Networks”, 3rd International Workshop on Information Quality and Quality of Service for Pervasive Computing, IQ2S2011 at IEEE Percom 2011.

6. S. C. Geyik, E. Bulut, and B. Szymanski, “PCFG Based Synthetic Mobility Trace Generation”, IEEE Global Telecommunications Conference (GLOBECOM), Dec. 2010. Poster

7. E. Bulut, S. C. Geyik, and B. Szymanski, “Efficient Routing in Delay Tolerant Networks with Correlated Node Mobility”, 7th IEEE International Conference on Mobile Ad-hoc and Sensor Systems (MASS), Nov. 2010.

8. S. C. Geyik, J. Xie, and B. Szymanski, “Behavior Modeling with Probabilistic Context Free Grammars”, 13th International Conference on Information Fusion, FUSION 2010.

9. S. C. Geyik, B. Szymanski, P. Zerfos, and D. Verma, “Dynamic Composition of Services in Sensor Networks”, 7th International Conference on Service Computing, IEEE SCC 2010.

10. E. Bulut, S. C. Geyik, and B. Szymanski, “Conditional Shortest Path Routing in Delay Tolerant Networks”, IEEE WoWMoM 2010.

11. S. C. Geyik, and B. Szymanski, “Event Recognition in Sensor Networks by Means of Grammatical Inference”, IEEE INFOCOM 2009, Rio de Janeiro, Brazil, March 2009, pp. 900-908.

12. S. C. Geyik, and B. Szymanski, “Multi-Target Tracking and Identification by a Vector of Sensors”, In Proceedings of IEEE MILCOM, San Diego Convention Center, CA, November 2008.

Poster Sessions

1. S. C. Geyik, and B. Szymanski, “Behavior Modeling and Classification via Probabilistic Context Free Grammars”, Proc. 21th Behavior Representation in Modeling and Simulation (BRIMS) Conference, Extended Abstract, Amelia Island, March 12-15, 2012, pp. 217-218. Extended Abstract

2. S. C. Geyik, J. Xie, and B. Szymanski, “Behavior Modeling with Probabilistic Context Free Grammars”, The International School and Conference on Network Science, NetSci 2010.

3. S. C. Geyik, and B. Szymanski, “A Grammar Inference Algorithm for Event Recognition in Sensor Networks”, Proc. 2nd Annual Conference of International Technology Alliance, ACITA 2008, London, UK, September 2008, pp. 366-367.

Book Chapters

1. B. Szymanski, C. Morrell, S. C. Geyik, and T. Babbitt, “Biologically Inspired Self Selective Routing with Preferred Path Selection”, Bio-Inspired Computing and Communication, LNCS, Springer, New York, NY, 2008.

Demos

1. C. Gibson, S. C. Geyik, B. K. Szymanski, P. Zerfos, D. Harries, T. Klapiscak, “Demo: TA6, Project 5, Services at the Edge of the Network”, VIP demo, in 5th Annual Conference of International Technology Alliance, ACITA’11, 2011.

Technical Reports and Internal Conferences

1. J. Wright, J. Ibbotson, C. Gibson, D. Braines, T. Klapiscak, S. Geyik, B. Szymanski, D. Thornley, “A Model-Driven Approach to the Construction, Composition and Analysis of Services on Sensor Networks”, Proc. 4th Annual Conference of International Technology Alliance, ACITA'10 London, U.K., September 15-16, 2010.

2. Sahin Geyik, Boleslaw K. Szymanski, Petros Zerfos, Dinesh Verma, Joel Wright, Christopher Gibson, and Caleb Vincent, “Dynamic Composition of Services in Sensor Networks and Its Implementation under Sensor Fabric”, Proc. 4th Annual Conference of International Technology Alliance, ACITA'10 London, U.K., September 15-16, 2010.

Last update: 27th of September, 2012