Charlotte Shabarekh

Senior ManagementCharlotte Shabarekh

Charlotte Shabarekh

Intelligent Analytic Technologies

Aptima’s entrepreneurial spirit and culture of innovation encourages our staff to take the technical risks required to succeed in cutting-edge research and development.”

Charlotte provides innovative solutions to emergent challenges in Space Situational Awareness, Activity-Based Intelligence, and Multi-INT Data Fusion. She is responsible for developing and executing a strategic vision for Aptima’s portfolio of advanced analytic technologies. Her research interests include Pattern Recognition in Big Data and the fusion of Natural Language Processing with Computer Vision.

At Aptima, Charlotte has been the Principal Investigator on multiple research programs on Data Science and Predictive Analytics. She has done lead business development, capture, proposal writing, and project execution for a diverse customer base. Prior to joining Aptima, Charlotte worked in the fields of Information Extraction, Information Retrieval, and Data Mining.

Charlotte earned an M.S. in Computational Linguistics from the State University of New York at Buffalo and a B.A. in Linguistics from the State University of New York at Albany.

Notable Publications

C. Shabarekh, Levchuk, G. (2015), Activity Recognition Applications from Contextual Video-Text Fusion.  In Proceedings of Applications for Aerial Video Exploitation (WAVE) workshop at the IEEE Winter Conference on Applications of Computer Vision (WACV), Waikoloa Beach, HI.

C. Shabarekh, Levchuk, G. (2015), Semantic Fusion of Full Motion Video and Chat Data for Activity Recognition.  In Proceedings of the Language and Vision Workshop at the Computer Vision and Pattern Recognition (CVPR) Conference , Boston, MA.

Levchuk, G., C. Shabarekh, J. Colona-Romano, E. Blasch (2015). Pattern-guided Multi-source Fusion using Probabilistic Graph Matching and Coordinated Belief Propagation.  In Proceedings of the SPIE Defense and Security Symposium, Baltimore, MD.

Levchuk, G., C. Shabarekh (2013), Fusing Video and Text Data by Integrating Appearance and Behavior Similarity.  In Proceedings of SPIE Defense and Security Symposium, Baltimore, MD.

Shabarekh, C., Yohai, I., & Riordan, B. (2011). A data-driven approach to ontology discovery. Proceedings of the Interservice/Industry Training, Simulation, and Education Conference (I/ITSEC), Orlando, FL.

For more information about Charlotte’s publications, please contact