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Dr. Thomas Reichherzer


Dr. Thomas Reichherzer, Chair and Associate Professor, has conducted research on wearable device security, smart home technology, and knowledge modeling in health care. These are some of the most recent projects for Reichherzer, who has a Ph.D. in Computer Science from Indiana University. His research interests range from case-based reasoning, natural language processing and knowledge representation to information visualization, human-computer interaction, and security for computers and networks.

Reichherzer’s work has been published in peer-reviewed journal articles, national and international conference proceedings, and book chapters in areas related to his research interests. Reichherzer earned an M.S. in Computer Science from UWF and a Diplom in Informatik from the University of Ulm in Germany. His background includes seven years as a Research Associate at the Florida Institute for Human and Machine Cognition, which works with industry and government to develop technologies that leverage and extend human capabilities, and two years as Director of Technology for Enkia Corp., which provides artificial intelligence solutions for information management and decision support. Reichherzer teaches graduate and undergraduate courses in computer science and engineering and mentors students on their capstone projects and masters’ theses.

Degrees & Institutions

Ph.D., Indiana University, Bloomington, 2009
M.S., Computer Science, University of West Florida, 1996
Informatic, Diplom, University of Ulm, Ulm, Germany 1996


I am interested in artificial intelligence and cognitive science methods and their applications to build a wide range of decision support systems and tools. I am also interested in systems and networks and related security issues. My broad research interests include machine learning, natural-language processing, information retrieval, knowledge representation, human computer interaction, and, more recently, sensor networks and wearable devices.

Current Courses

  • COP 4634 System & Networks I
  • COP 3014 Algorithms & Program Design
  • COP 5990 Algorithms & Data Structures

Classes Taught

  • COP 4634 System & Networks I
  • COP 4635 System & Networks II
  • COP 3014 Algorithms & Program Design
  • COP 3530 Data Structures & Algorithms I
  • CIS 6415 Advanced Computer Systems & Networks


Coffey, J. W., Baskin, A., Reichherzer, T., Wilde, N. (2016). A Semi-Automated Approach to the Recovery of SOA System Structure From Low-Level Artifacts. International Journal of Software Engineering and Knowledge Engineering, 26(1), January. (to appear)

Gray, J., Reichherzer, T., Sutton, A. M., Touma, J., Bennett, W. (2015). An Automated Approach to the Initialization of the Snakes Algorithm for the Detection of Swimbladder Regions in X-ray Image Data. Proceedings of the 28th International Florida Artificial Intelligence Research Society Conference (FLAIRS), May 18-20, Hollywood, FL, pp. 111-114.

Lorenzetti, C., Maguitman, A., Leake, D., Menczer, F., and Reichherzer, T. (2015). Mining for Topics to Suggest Knowledge Model Extensions. ACM Transactions on Knowledge Discovery from Data. (in press)

Soles, L. R., Reichherzer, T., Snider, D. (2015). Creating a Cost Effective Air to Ground Network Simulation Environment. Proceedings of the 2015 IEEE Southeast Conference, April 9-12, Fort Lauderdale, FL.

Reichherzer, T., Coffey, J., Gonen, B., and Gillett, I. (2015). Knowledge Modeling in the Health Care Domain to Support Software Development & Maintenance. Proceedings of the 3rd International Conference on Model-Driven Engineering and Software Development (MODELSWARD 2015), Angers, France, pp. 470-476.

Reichherzer, T., Coffey, J., Gonen, B., Gillett, I. (2015). Knowledge Modeling in the Health Care Domain: Capturing Semantics to Bridge the Gap between Complex Data Models and Object Models, In Communications in Computer and Information Science, Springer Verlag. (in press)

Keywords: machine learning, natural language processing, information retrieval, knowledge representation, human computer interaction, sensor networks, network simulation, wearable device security, smart home technology, knowledge modeling