Name:Derek T Anderson
Associated Centers:Distributed Analytics and Security Institute
Email: da548@msstate.edu
Office:Simrall Electrical Engineering Building, 236
Office Phone:(662) 325-3530

Research Interest: New frontiers in data and information fusion for pattern analysis and automated decision making with an emphasis on heterogeneous (e.g., multiple source, representation, granularity and uncertainty) data/information. Topics of interest include: pattern recognition, clustering, data fusion, computer vision, image processing, uncertainty modeling, explosive material detection, linguistic summarization of video, and scene understanding.

Publications: Durst, P. J., Goodin, C. T., Anderson, D., & Bethel, C. L. (2017). A Reference Autonomous Mobility Model. 50th Winter Simulation Conference (WSC 2017). Las Vegas, NV.

Pinar, A., Anderson, D., Havens, T., Zare, A., & Adeyeba, T. (2017). Measure of the Shapley Index for Learning Lower Complexity Fuzzy Integrals. Granular Computing. Springer. 2(4), 303319.

Ball, J. E., Anderson, D., & Chan, C. (2017). A Comprehensive Survey of Deep Learning in Remote Sensing: Theories, Tools and Challenges for the Community. JARS. 1, 40. DOI:10.1117/1.JRS.11.042609.

Wagner, C., Havens, T., & Anderson, D. (2017). The Arithmetic Recursive Average as an Instance of the Recursive Weighted Power Mean. FUZZ-IEEE. Italy.

Havens, T., Wagner, C., & Anderson, D. (2017). Efficient Modeling and Representation of Agreement in Interval-Valued Data. FUZZ-IEEE. Italy.

Total Publications by this Author: 84