Dr. Gerry Vernon Dozier
Professor and Chair
Department of Computer Science

Contact:
       Department of Computer Science
       508 McNair Hall
       NC A&T University, Greensboro, NC 27411
       Phone: (336) 334-7245, Ext. 467
       Phone: (336) 334-7244
       E-mail: gvdozier@ncat.edu 

Education:
   B.S. in Computer Science, Mathematics - Northeastern Illinois University, Chicago (April 1988).
    M.S. in Computer Science, Computer Engineering - North Carolina State University, Raleigh (August 1991).
    Ph. D. in Computer Science - North Carolina State University, Raleigh (December 1995).

Areas of Research Interest:

• Genetic & Evolutionary Computing
• Security Anomaly Detection Systems
• Computational Hip-Hop

ON-Going Research Projects:

Refereed Journal Publications: (Advisees in Boldface)

1. Unsal, E., Dozier, G., and Dane (In Press). “A Novel Optimization Process for Prediction of Complex Pore Geometry via Genetic Search,” Intelligent Automation and Soft Computing (AutoSoft).
   
   
2. Casey, K., Garrett, A., Gay, J., Montgomery, L., and Dozier, G. (to appear). “An Evolutionary Approach for Achieving Scalability with General Regression Neural Networks,” The Journal of Natural Computing, Elsevier.
   
   
3. Casey, K., Lim, A., and Dozier, G. (to appear). “A Sensor Network Architecture for Tsunami Detection and Response,” The International Journal of Distributed Sensor Networks (IJDSN).
   
   
4. Unsal, E., Dane, J., Schwartz, P., and Dozier, G. (2006). “Modeling Displacement Properties of Immiscible Fluids in Porous Media,” SIMULATION, Vol. 82, No. 8, pp. 499-510.
   
   
5. Dozier, G., Brown, D., Hou, H., and Hurley J. (2007). “Vulnerability Analysis of Immunity- Based Intrusion Detection Systems Using Genetic and Evolutionary Hackers,” Journal of Applied Soft Computing Volume 7, Issue 2 , March 2007, Pages 547-553, Elsevier.
   
   
6. Dozier, G., Cunningham, H., Britt, W., Wang, Y., Seals, C., and Zhang, F. (2007). ”Distributed Constraint Satisfaction , Restricted Recombination , and Genetic Protocols,” Journal of Applied Soft Computing, Elsevier.
   
   
7. Yapicioglu, H., Smith, A., and Dozier, G. (2007). “Solving the Semi-Desirable Facility Location Problem Using Bi-objective Particle Swarm,” The European Journal of Operations Research, 177 (2007) pp. 733-749, Elsevier.