Garry Jacyna, Ph.D.

Dr. Garry Jacyna is Fellow Emeritus at MITRE. He is a recognized expert in signal processing and systems engineering, whose technical and analytic knowledge has been applied to analytical-based performance studies for Department of Defense (DoD) and Department of Homeland Security (DHS) programs, several government-classified programs, and select research programs at MITRE. His work has focused on the development of system performance and effectiveness models, with a recent emphasis on developing spectrum sharing technologies for radar, communications, and electronic warfare (EW) joint spectrum access, novel analysis tools for full-duplex multifunction systems, and physics-based quantum sensing performance methods. His most recent interest is focused on developing adaptive approaches for system design using cutting-edge machine learning (ML) methods.

Over the course of his career, he has created cutting-edge algorithms for real-world problems. Among them:

• An acoustic reconstruction tool used after the Russian nuclear submarine Kursk sank.
• Multi-target sonar detection, tracking, and classification algorithms.
• Image fusion algorithms for stand-off detection and classification of threats from improvised explosive devices.
• Distributed spectrum sensing and adaptive waveform algorithms.
• Complexity-based analysis tools for agent-based simulations and image segmentation.
• Predictive tools for several DHS systems. 

He is also a Distinguished Visiting Scholar at the University of Virginia, lecturing on the design and use of risk management tools for systems-of-systems applications.

He has a B.S. degree in Physics and M.S. and Ph.D. degrees in Applied Mathematics, all from Rensselaer Polytechnic Institute. Dr. Jacyna is also a member of IEEE, ASA, SIAM, and Sigma Xi.