Michael Georgiopoulos became the college’s sixth dean in July 2013. He received his bachelor's degree in electrical engineering from National Technical University of Athens, and his master’s and doctorate in electrical engineering from the University of Connecticut. His research expertise is in machine learning with special emphasis on neural network algorithms and related applications. Georgiopoulos has a strong affinity towards programs that enhance STEM student experiences and help them discover their professional pathway, including YES (NSF S-STEM grant), Flit-Path (NSF S-STEM grant) and EXCEL (initially an NSF STEP grant that is now institutionalized by UCF). EXCEL, for example, has improved STEM students’ graduation rate by approximately 50%.

• Koufakou, A., Georgiopoulos, M. 2010. A fast outlier detection strategy for distributed high dimensional datasets with mixed attributes. Data Mining and Knowledge Discovery. 20:259-289.


• Kaylani, A., Georgiopoulos, M. Mollaghasemi, M., Anagnostopoulos, G., Sentelle, C., Zhong, M. 2010. An adaptive multi-objective approach to evolving ART architectures. IEEE Transactions on Neural Networks. 21:529-550


• Zhang, T. Georgiopoulos, M., Anagnostopoulos, G. C., 2013. S-RACE: A Multi-objective Racing Algorithm. GECCO 2013, Proceedings of the fifteenth annual conference on Genetic and evolutionary computation conference, Amsterdam, the Netherlands, July 6-10, pages 1565-1572


• Li, C., Georgiopoulos M., Anagnostopoulos, G. C., 2013. Kernel-based Distance Metric Learning in the Output Space. International Joint Conference on Neural Networks (IJCNN), Dallas, TX, August 04-09.


• Huang Y., Li, C., Georgiopoulos, M., Anagnostopoulos, G. C., 2013. Reduced Rank Local Distance Metric Learning. Proceedings (Part III) of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML and PKDD 2013), Prague, Czech Republic, September 23-27, pages 224-239.