Personal profile
Biography
At UNF since 2011, Dr. Kreidl instructs core courses in the signals/systems track of the undergraduate electrical engineering program as well as graduate courses in image processing, probabilistic systems, stochastic control and cyber analytics. He founded UNF's Signal Processing and Network Science (SPaNS) Laboratory in 2011 and, in 2018, received a courtesy faculty appointment in UNF's School of Computing, since co-founding both the Machine Vision (MaVis) Laboratory and the Center for Cybersecurity. He is a senior member of the Institute of Electrical and Electronics Engineers (IEEE).
Dr. Kreidl has over 30 years of research experience, over 50 peer-reviewed publications and two patents. Before joining UNF, he was a Principal Research Engineer in the Cyber Operations and Networking Group within BAE Systems' Technology Solutions Directorate (via 2005 acquisition of Alphatech, Inc., Burlington, MA) as well as a Research Affiliate in MIT's Laboratory for Information and Decision Systems (Cambridge, MA). Other past appointments were with Lund University (Sweden), George Mason University (Fairfax, VA), the Institute for Defense Analyses (Alexandria, VA) and the Naval Research Laboratory (Washington, DC).
Related documents
Education/Academic qualification
Electrical Engineering and Computer Science (with math minor), PhD
… → Feb 2008
Electrical Engineering and Computer Science, SM
… → Feb 1996
Electrical Engineering (with highest distinction and physics minor)
… → May 1994
Projects
- 1 Finished
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CPS: Small: Collaborative Research: RUI: Towards Efficient and Secure Agricultural Information Collection Using a Multi-Robot System
Dutta, A. (PI), Kreidl, O. P. (CoPI) & Roy, S. (CoPI)
3/1/20 → 2/28/23
Project: Research project
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Energy-efficient cryptographic optimization for narrowband IoT security: Integrating blockchain and EP-CuMAC with ECM-SHA256
Kakar, H., Mohan, V. S., Roy, S., Dutta, A., Kreidl, O. P., Bölöni, L. & Sankaran, S., Jan 2026, In: Internet of Things (The Netherlands). 35, p. 101828 1 p., 101828.Research output: Contribution to journal › Article › peer-review
Open Access -
A Hybrid Framework for Anomaly Detection and Identification Using Physics and Data Based Models
Mezyani, T. E., Tubuntoeng, P., Kreidl, O. P., Fletcher, J. & Bretas, A. S., 2025, In: IEEE Electric Ship Technologies Symposium, ESTS. 2025, p. 268-274 7 p.Research output: Contribution to journal › Conference article › peer-review
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Bidirectional analysis of seizure patterns and menstrual cycle phases extracted from physiological signals
Graham, K. D., Kilungeja, G., Gregg, N. M., Karoly, P. J., Kreidl, P., MajidiRad, A. H., Brinkmann, B. H. & Nasseri, M., Oct 8 2025, In: Physiological Measurement. 46, 10, 105004.Research output: Contribution to journal › Article › peer-review
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GDM-Net++: Multi-robot 2D and 3D Gas Distribution Mapping Via Deep Q-Learning and Gaussian Process Regression
Kulbaka, I., Dutta, A., Kreidl, O. P., Bölöni, L. & Roy, S., 2025, IROS 2025 - 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems, Conference Proceedings. Laugier, C., Renzaglia, A., Atanasov, N., Birchfield, S., Cielniak, G., De Mattos, L., Fiorini, L., Giguere, P., Hashimoto, K., Ibanez-Guzman, J., Kamegawa, T., Lee, J., Loianno, G., Luck, K., Maruyama, H., Martinet, P., Moradi, H., Nunes, U., Pettre, J., Pretto, A., Ranzani, T., Ronnau, A., Rossi, S., Rouse, E., Ruggiero, F., Simonin, O., Wang, D., Yang, M., Yoshida, E. & Zhao, H. (eds.). p. 18103-18109 7 p. (IEEE International Conference on Intelligent Robots and Systems).Research output: Chapter or Contribution to Book › Literary contribution
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GDM-Net: Gas Distribution Mapping with a Mobile Robot Using Deep Reinforcement Learning and Gaussian Process Regression
Kulbaka, I., Dutta, A., Kreidl, O. P., Bölöni, L. & Roy, S., 2024, 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2024. p. 4511-4518 8 p. (IEEE International Conference on Intelligent Robots and Systems).Research output: Chapter or Contribution to Book › Literary contribution