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: Ball, J. E., Anderson, D., Harsh, A., & Archibald, C. (2015). Measuring Conflict in a Multi-source Environment as a Normal Measure. The Sixth IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing. Cancun, Mexico.

Anderson, D., Price, S., Pinar, A., & Havens, T. (2015). Computational Intelligence in Forward-looking Explosive Hazard Detection. SPIE newsroom.

Havens, T. C., Anderson, D., & Wagner, C. (2015). Data-Informed Fuzzy Measures for Fuzzy Integration of Intervals and Fuzzy Numbers. IEEE Transactions on Fuzzy Systems. 23(5), 1861-1875. DOI:10.1109/TFUZZ.2014.2382133.

Islam, M., Anderson, D., & Havens, T. (2015). Multi-Criteria Based Learning of the Choquet Integral Using Goal Programming. North American Fuzzy Information Processing Society. Seattle.

Adeyeba, T., Anderson, D., & Havens, T. (2015). Insights and Characterization of L1-norm Based Sparsity Learning of a Lexicographically Encoded Capacity Vector for the Choquet Integral. FUZZ-IEEE. Istanbul.

Total Publications by this Author: 54