- Ph.D. Operations Research, Penn State University 2007
- M.A. Mathematics, Penn State University 2004
- B.S. Mathematics, Penn State University 2000
Dr. Griffin holds a Ph.D. in Operations Research and an M.A. in Mathematics from Penn State. He is currently a Research Associate at the Applied Research Laboratory (ARL) at the Pennsylvania State University and an Adjunct Asst. Professor of Electrical and Computer Engineering at Clemson University. He is also the principal investigator for the ONR/NAVSEA Combined Hierarchical Environment for Tracking Anomalies with Hybrid Statistics (CHEETAH) program as well as a program on Deep Social Network Analysis funded by the United States Government.
Before joining ARL, he was a Wigner Fellow at the Oak Ridge National Laboratory as well as the principal investigator for the "Contradiction Based Logic Approach to Hypothesis Generation" program, sponsored by the Intelligence Advanced Research Projects Agency. He was the co-principal investigator for the "Learning and Prediction for Enhanced Readiness and Decision Making" program, sponsored by ONR. Dr. Griffin was the principal investigator for the laboratory directed research and development program, "Inferring Group Social Dynamics via Psycho-Textual and Communications Flow Analysis" which began in FY2009.
Before joining Oak Ridge National Laboratory, Dr. Griffin worked with the Applied Research Laboratory at Penn State for almost seven years as a staff engineer. During this time he served as a Principle System Architect for the "JFACC/IEIST" Program sponsored by DARPA and the Boeing Company. He also served as the test bed coordinator for the ARO "Emergent Surveillance Plexus" MURI as well as the mathematical modeling coordinator for the ONR "Mobile Ubiquitous Security Environment" URI. Before leaving ARL, Dr. Griffin was the Co-PI for the ONR Funded "Learning and Prediction for Enhanced Readiness and Decision Making" program, which transitioned with him to ORNL.
Dr Griffin is also the co-editor of the book, Sensor Network Operations, published by IEEE Press in 2006. His published work has been cited over 180 times.
Research and Teaching Interests
- Game Theory
- Control Theory and Optimization
- Pattern Recognition
- Statistical Learning
1. S. Lichter, C. Griffin and T. Friesz. A Game Theoretic Perspective on Network Topologies. Submitted
to Computational and Mathematical Organization Theory, March 2011.
2. A. Kurve, C. Griffin and G. Kesidis. A Graph Partitioning Game for Distributed Simulation of Networks.
Submitted to ITC 2011, February 2011.
3. Y. Lu, J. Schwier, R. Craven, R. R. Brooks and C. Griffin. Inferring statistically significant hidden
Markov models. Submitted to Pattern Recognition, February 2011.
4. H. Bhanu, J. Schwier, R. Craven, K. Hempstalk, D. Gunetti, C. Griffin and R. R. Brooks. Side-
Channel Analysis for Detecting Protocol Tunneling. Submitted to IEEE Trans. Systems, Man and
Cyber. C, January 2011.
1. S. Phoha, T. LaPorta, and C. Griffin, editors. Sensor Network Operations. IEEE Press, (ISBN
0-471-71976-5), May 2006.
1. C. Griffin, J. Koch, B. Madan, and S. Phoha. Noise adaptive sensor network for vehicle tracking in
the dessert. In Sensor Network Operations. IEEE Press, 2005.
2. R. R. Brooks, C. Griffin, D. Friedlander, and J Koch. Target tracking with self-organizing distributed
sensors. In Frontiers in Distributed Sensor Networks, chapter 2.6. CRC Press, 2004.
3. R. R. Brooks and C. Griffin. Distributed Denial of Service Countermeasures. In Disruptive Security
Technologies, chapter 12. CRC Press, 2004.
4. R. R. Brooks, N. Orr, C. Griffin, and T. Keiser. Understanding mobile code. In Disruptive Security
Technologies, chapter 6. CRC Press, 2004.
5. R. R. Brooks, D. Friedlander, C. Griffin, and S. Phoha. Team coordination. In Advanced Technology
Concepts for Command and Control, chapter 15, pages 382-400. XLibris Inc., 2004.
1. C. Griffin, R. R. Brooks and J. Schwier. A Hybrid Statistical Technique for Modeling Non-Linear
Recurrent Tracks in a Compact Set. Accepted to IEEE Trans. Automatic Control, March, 2011.
2. C. Griffin, K. Testa and S. Racunas. An Algorithm for Searching An Alternative Hypothesis
Space. Accepted to IEEE Trans. Sys. Man and Cyber. B., October, 2010.
3. J. Schwier and R. R. Brooks and C. Griffin. Methods to window data to differentiate between
Markov models. IEEE Trans. Sys. Man and Cyber. B., Accepted August 2010.