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Donald E Brown

Donald E Brown

Senior Associate Dean for Research and Quantitative Foundation Distinguished Professor, Systems and Information Engineering

Primary Location
PO Box 400747 151 Engineer's Way
Olsson Hall, Rm. 102E
Primary Phone Number
434.982.2074
Fax Number
434.982.2972
Email
[email protected]

Bio & Overview

Dr. Brown is Professor of the Department of Systems and Information Engineering, University of Virginia. Prior to joining the University of Virginia, Dr. Brown served as an officer in the U.S. Army and later worked at Vector Research, Inc. on projects in medical information processing and multi-sensor surveillance systems. He is now President of Commonwealth Computer Research, Inc. which provides data analysis and technical services for numerous private and governmental organizations. He serves on the National Research Council Committee on Transportation Security has served on the National Academy of Sciences panel on High Performance Computing and Crisis Management and on the NRC Committee on Surface Transportation Infrastructure Security. He is a past member of the Joint Directors of Laboratories Group on Data Fusion and a former Fellow at the National Institute of Justice Crime Mapping Research Center. Dr. Brown has been a principal investigator or co-principal investigator for over 70 research contracts with federal, state, and private organizations. He has over 100 published papers and two edited books. His research focuses on data fusion, statistical learning, and predictive modeling with applications to security and safety. Dr. Brown is a Fellow of the IEEE and a past President of the IEEE Systems, Man, and Cybernetics Society. He is the recipient of the Norbert Wiener Award for Outstanding Research in the areas of systems engineering, data fusion, and information analysis. He has also received an Outstanding Contribution Award from that society and the IEEE Millennium Medal. The student chapter of the International Council on Systems Engineering has named him the best undergraduate teacher three years in a row (2001, 2002, and 2003). He is the Editor-in-Chief of the IEEE Transaction on Systems, Man, and Cybernetics, Part A: Systems and Humans . He has served on the administrative committee of the IEEE Neural Networks Council. He is coeditor of the books, Operations Research and Artificial Intelligence: The Integration of Problem Solving Strategies and Intelligent Scheduling Systems. He is also past-Chairman of the Operations Research Society of America Technical Section on Artificial Intelligence and he is the recipient of the Outstanding Service Award from that Society. Dr. Brown's students have won competitions in the Omega Rho honor society, the IEEE, the Brunswick Society, and the Operations Research Society of America.

Academic Information

Department
Systems and Information Engineering

Research Interests

Data Mining; Data Fusion

Research Disciplines

  • Systems and Information Engineering

Selected Publications

2022

Brown, D. E., Sharma, S., Jablonski, J. A., & Weltman, A. (2022). Neural network methods for diagnosing patient conditions from cardiopulmonary exercise testing data. BIODATA MINING, 15(1). doi:10.1186/s13040-022-00299-6

2021

Gharavi, E., Gu, A., Zheng, G., Smith, J. P., Cho, H. J., Zhang, A., . . . Sheffield, N. C. (2021). Embeddings of genomic region sets capture rich biological associations in lower dimensions. BIOINFORMATICS, 37(23), 4299-4306. doi:10.1093/bioinformatics/btab439

2020

Patel, V., Khan, M. N., Shrivastava, A., Sadiq, K., Ali, S. A., Moore, S. R., . . . Syed, S. (2020). Artificial Intelligence Applied to Gastrointestinal Diagnostics: A Review. JOURNAL OF PEDIATRIC GASTROENTEROLOGY AND NUTRITION, 70(1), 4-11. doi:10.1097/MPG.0000000000002507

2019

Iqbal, N. T., Syed, S., Sadiq, K., Khan, M. N., Iqbal, J., Ma, J. Z., . . . Ali, S. A. (2019). Study of Environmental Enteropathy and Malnutrition (SEEM) in Pakistan: protocols for biopsy based biomarker discovery and validation. BMC PEDIATRICS, 19. doi:10.1186/s12887-019-1564-x

Al Boni, M., Syed, S., Ali, A., Moore, S. R., & Brown, D. E. (2019). Duodenal Biopsies Classification and Understanding using Convolutional Neural Networks.. AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 2019, 453-461.

Lobo, B. J., Brown, D. E., & Grazaitis, P. J. (2019). Long-term forecasting of fuel demand at theater entry points. INTERNATIONAL JOURNAL OF FORECASTING, 35(2), 502-520. doi:10.1016/j.ijforecast.2018.09.001

2018

Brown, D. E., Moenning, A., Guerlain, S., Turnbull, B., Abel, D., & Meyer, C. (2019). Design and evaluation of an avatar-based cultural training system. JOURNAL OF DEFENSE MODELING AND SIMULATION-APPLICATIONS METHODOLOGY TECHNOLOGY-JDMS, 16(2), 159-174. doi:10.1177/1548512918807593

Co, N. E. C., Brown, D. E., & Burns, J. T. (2018). Data-Science Analysis of the Macro-scale Features Governing the Corrosion to Crack Transition in AA7050-T7451. JOM, 70(7), 1168-1174. doi:10.1007/s11837-018-2864-6

2016

Xie, W., Wang, Y., Boker, S. M., & Brown, D. E. (2016). PrivLogit: Efficient Privacy-preserving Logistic Regression by Tailoring
Numerical Optimizers. Retrieved from http://arxiv.org/abs/1611.01170v1

Brown, D. E. (2016). Text Mining the Contributors to Rail Accidents. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 17(2), 346-355. doi:10.1109/TITS.2015.2472580

2015

Brown, D. E., Abbasi, A., & Lau, R. Y. K. (2015). Predictive [Guest editors' introduction]. IEEE Intelligent Systems, 30(2), 6-8. doi:10.1109/mis.2015.32

Terner, Z., & Brown, D. E. (2015). Preconditions and multilevel models in studying post-surgical adverse outcomes. NETWORK MODELING AND ANALYSIS IN HEALTH INFORMATICS AND BIOINFORMATICS, 4(1). doi:10.1007/s13721-015-0091-4

Huddleston, S. H., Porter, J. H., & Brown, D. E. (2015). Improving forecasts for noisy geographic time series. JOURNAL OF BUSINESS RESEARCH, 68(8), 1810-1818. doi:10.1016/j.jbusres.2015.03.040

Geffre, J. L., & Brown, D. E. (2015). Strategic Threat Probabilities with Hierarchical Spatiotemporal Predictions. IEEE INTELLIGENT SYSTEMS, 30(6), 72-80. doi:10.1109/MIS.2015.41

Brown, D. E., Abbasi, A., & Lau, R. Y. K. (2015). Predictive Analytics: Predictive Modeling at the Micro Level. IEEE INTELLIGENT SYSTEMS, 30(3), 6-8. Retrieved from https://www.webofscience.com/

Abbasi, A., Lau, R. Y. K., & Brown, D. E. (2015). Predicting Behavior. IEEE INTELLIGENT SYSTEMS, 30(3), 35-43. doi:10.1109/MIS.2015.19

Brown, D. E., Abbasi, A., & Lau, R. Y. K. (2015). Predictive Analytics INTRODUCTION. IEEE INTELLIGENT SYSTEMS, 30(2), 6-8. Retrieved from https://www.webofscience.com/

2013

Zhang, Y., & Brown, D. E. (2013). Police patrol districting method and simulation evaluation using agent-based model & GIS. Security Informatics, 2(1). doi:10.1186/2190-8532-2-7

2012

Wang, X., & Brown, D. E. (2012). The spatio-temporal modeling for criminal incidents. Security Informatics, 1(1). doi:10.1186/2190-8532-1-2

Fujita, K., Hirasawa-Fujita, M., Brown, D. E., Obara, Y., Ijima, F., Kohzuma, T., & Dooley, D. M. (2012). Direct electron transfer from pseudoazurin to nitrous oxide reductase in catalytic N2O reduction. JOURNAL OF INORGANIC BIOCHEMISTRY, 115, 163-173. doi:10.1016/j.jinorgbio.2012.07.013

Deviney, F. A. J., Brown, D. E., & Rice, K. C. (2012). Evaluation of Bayesian Estimation of a Hidden Continuous-Time Markov Chain Model with Application to Threshold Violation in Water-Quality Indicators. JOURNAL OF ENVIRONMENTAL INFORMATICS, 19(2), 70-78. doi:10.3808/jei.201200210

2011

Brown, D. E., Famili, F., Paass, G., Smith-Miles, K., Thomas, L. C., Weber, R., . . . Maldonado, S. (2011). Future trends in business analytics and optimization. INTELLIGENT DATA ANALYSIS, 15(6), 1001-1017. doi:10.3233/IDA-2011-0506