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Opportunity at Davies Teaching Fellowships (ARL/USMA)

Research and Development of Anomaly Detection Theories and Methods in Streaming and Imagery Data


MD and NM-Computational and Information Sciences-FFP, Computational and Information Sciences Directorate - FFP

RO# Location
AA.36.02.B7503 Adelphi, MD 207831197


Name E-mail Phone
Raglin, Adrienne J 301.394.0210


Opportunities exist in the research and development of information science-based computational methods. We are interested in developing novel theories and methods that enable efficient tactical data analytics to support battlefield information systems and human interactions with them. These methods include theoretical and applied machine learning algorithms, signal processing techniques, and text/image-analytical methods. We are interested in the investigation and development of anomaly detection approaches using information saliency and other machine learning methodologies, as well as, intelligent tactical information management and decision-driven data analytic methods. This research will include investigating new theories, conducting experimental assessments, implementing innovative approaches, and presenting and communicating findings. This research effort supports development of foundational capabilities necessary for human-information interaction, intelligent systems, and virtual teaming.


Data analytics; Saliency modeling; Machine Learning; Image processing; Information Theory; Information retrieval;


Citizenship:  Open to U.S. citizens
Level:  Open to Postdoctoral applicants
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