John “JCR” Colonna-Romano
“I don’t just want to know what, I want to know how and why. A broad understanding of the world is key to being a serious problem solver; for when you are stuck, fundamental understanding is the catalyst for solutions.”
John “JCR” has more than 35 years of experience in software technology, software architecture, product development, research software prototyping and software engineering. He pursues projects in a variety of technical areas such as big data analytics, graph analytics, distributed processing frameworks, algorithm performance and scaling, adaptive training authoring systems, and machine learning technology. Key areas of focus are in the cyber security and machine learning system domains.
JCR received an M.S. and B.S. in Computer Science from the Stevens Institute of Technology and holds a certificate in Software Architecture from the Software Engineering Institute. He has co-authored two books on distributed system middleware architecture.
Levchuk, G., Colonna-Romano, J., & Eslami, M. (2018, May). Algebra for distributed collaborative semi-supervised classification of cyber activities. In Disruptive Technologies in Information Sciences (Vol. 10652, p. 1065210). International Society for Optics and Photonics.
Levchuk, G., & Colonna-Romano, J. (2018, June). Optimizing collaborative computations for scalable distributed inference in large graphs. In Signal Processing, Sensor/Information Fusion, and Target Recognition XXVII (Vol. 10646, p. 106460O). International Society for Optics and Photonics.
Levchuk, G., & Colonna-Romano, J. (2016, May). Collaborative mining of graph patterns from multiple sources. In SPIE Defense+ Security (pp. 98420O-98420O). International Society for Optics and Photonics.
Levchuk, G.,Shabarekh, C., Colonna-Romano, J., Blasch, E. (2015). Pattern-guided Multi-source Fusion using Probabilistic Graph Matching and Coordinated Belief Propagation. SPIE Defense and Security Conference 2015.
Jones, R., Bachelor, B., Stacy E. W., Colonna-Romano, J., Wray, R. (2015). Automated Monitoring and Validation of Synthetic Intelligent Behavior. Proceedings of The 2015 International Conference on Artificial Intelligence
Balasingam, B., Pattipati, K., Levchuck, G., Romano, J. C. (2015). Robust Collaborative learning by Multi-Agents. Proceedings of the 2015 Eighth IEEE Symposium on Computational Intelligence for Security and Defense Applications.
For more information about JCR’s publications, please contact email@example.com.