Don Brown headshot
DB

Donald E. Brown

Professor
Founding Director
Co-Director
Department: Data Science School
Office location and address
Olsson Hall, Room 102C
151 Engineer's Way
Charlottesville, Virginia 22903
Education
B.S. ​United States Military Academy, West Point, NY 1973
M.S. ​University of California, Berkeley CA, 1979
M.E. University of California, Berkeley CA, 1979
Ph.D. ​University of Michigan, Ann Arbor, MI, 1985
Biography

Dr. Brown is Founding Director of the Data Science Institute, the W.S. Calcott Professor of the Department of Systems and Information Engineering and Co-Director of the Translational Health Institute of Virginia, 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 90 research contracts with federal, state, and private organizations. He has over 120 published papers and two edited books. His research focuses on data fusion, knowledge discovery, 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.

Provision of Clinical Data to Support a Nationwide COVID-19 Cohort Collaborative
Source: U.S. NIH National Center for Advancing Translation
August 01, 2020 – January 31, 2022
Hyperparameter Optimization for Object and Event Detection from Patterns using Deep Learning
Source: U.S. DoD - Navy - NAVSUP Fleet Logistics Center Sa
January 11, 2019 – January 10, 2022
EN-DO Research in Support of Leidos's Strategic Alliance with UVA
Source: Leidos, Inc.
January 01, 2018 – December 31, 2021
Risk Prediction for COVID - Subaward to Vibrent Health NIH proposal
Source: Vibrent Health
September 14, 2020 – January 13, 2021
DS Capstone 2019 Clarabridge
Source: CLARABRIDGE, INC.
October 14, 2019 – October 13, 2020
Data Science Capstone 2019 - Raytheon
Source: Raytheon Company
September 01, 2019 – August 31, 2020
Design of a Culturally Aware Chatbot Interface
Source: U.S. DOD - Army - Aro
September 27, 2018 – June 01, 2020
CCE-HS-4: Test and Evaluation of Performative Approach to Predicting Violence by Value-Based Groups
Source: U.S. DOD - Army - Other
August 11, 2017 – September 30, 2019
Avatar-Based Simulations to Improve Cultural Competence and Decision Making in U.S. Soldiers
Source: U.S. DOD - Army - Aro
July 25, 2017 – December 31, 2018
EN-SE Text Mining Implemented in a Graphics Processing Unit (GPU) for Accelerated Extraction of Culturally Relevant Features
Source: U.S. DOD - Army - Aro
September 01, 2015 – March 31, 2018
EN-DO Research in Support of SAIC's Strategic Alliance with UVA
Source: Science Applications Intrnl Corp
July 01, 2009 – December 31, 2017
EN-SE Combined Hoseline/Conveyence-Based Fuel and Water Transport
Source: Technology Service Corporation
February 15, 2016 – September 30, 2017
Customer Relationship Management for a Software as a Service Company
Source: Co-construct, LLC
September 01, 2016 – July 31, 2017
EN-SE-Generation of Multi-Year Forecasts of Video and Broadband Subscriber Populations at the Company-Level in the United States
Source: S&P Global Market Intelligence, Inc.
July 15, 2016 – July 14, 2017
EN-SE Data Science for Analysis of Supply Chain Risk
Source: The Mitre Corporation
August 01, 2015 – May 31, 2017
EN-SE-Cultural Mapping
Source: The Mitre Corporation
September 01, 2016 – September 30, 2016
EN-SE-Data Science for RFI for Information Engineering
Source: The Mitre Corporation
September 01, 2016 – September 30, 2016
EN-SE Trend Analysis of Topics in Large Data Sets
Source: Battelle Memorial Institute
September 08, 2015 – July 31, 2016
EN-SE Data Science for Mission Command for Autonomous Systems
Source: The Mitre Corporation
August 01, 2015 – May 31, 2016
EN-SE Modeling Temporal and Spatial Cultural Patterns and Relationship to Threats
Source: U.S. DOD - Army - Aro
May 14, 2015 – May 13, 2016
Topic 1.12 - An Assessment of Foreign Data Fusion Capabilities
Source: U.S. DOD - Army
June 01, 2010 – September 22, 2015
COP/PB Planner - Challenge Are 1a
Source: Technology Service Corporation
September 30, 2012 – March 31, 2015
Theater-Wide FOB Sustainment Planner - Challenge Area 4b
Source: Technology Service Corporation
July 30, 2012 – January 23, 2015
EN-SE Situational Awareness for Humanitarian Logistics Interventions
Source: The Mitre Corporation
September 01, 2013 – August 31, 2014
Environmental Surveilance Modeling
Source: The Mitre Corporation
August 25, 2012 – August 31, 2013
EN-SE Theater Distribution Planner for 4th Generation Warfare
Source: Technical Services Corporation
September 01, 2009 – January 31, 2013
SYS 4053: Systems Design I
Credits: 3
A design project extending throughout the fall semester. Involves the study of an actual open-ended situation, including problem formulation, data collection, analysis and interpretation, model building for the purpose of evaluating design options, model analysis, and generation of solutions. Includes an appropriate computer laboratory experience. Prerequisite: SYS 3021, 3060, and fourth-year standing in the Systems Engineering major.
SYS 4054: Systems Design II
Credits: 3
A design project extending throughout the spring semester. Involves the study of an actual open-ended situation, including problem formulation, data collection, analysis and interpretation, model building for the purpose of evaluating design options, model analysis, and generation of solutions. Includes an appropriate computer laboratory experience. Prerequisite: SYS 4053.
DS 6001: Practice and Application of Data Science
Credits: 2
This course covers the practice of data science practice, including communication, exploratory data analysis, and visualization. Also covered are the selection of algorithms to suit the problem to be solved, user needs, and data. Case studies will explore the impact of data science across different domains.
DS 6003: Practice and Application of Data Science II
Credits: 1–2
This course covers the practice of data science practice, including communication, exploratory data analysis, and visualization. Also covered are the selection of algorithms to suit the problem to be solved, user needs, and data. Students will use their capstone projects to explore the impact of data science on that domain.
DS 6011: Data Science Capstone Project Work I
Credits: 1
This course is designed for capstone project teams to meet in groups, with advisors, and with clients to advance work on their projects.
DS 6013: Data Science Capstone Project Work II
Credits: 1–2
This course is designed for capstone project teams to meet in groups, with advisors, and with clients to advance work on their projects.
DS 6014: Bayesian Machine Learning
Credits: 3
Bayesian inferential methods provide a foundation for machine learning under conditions of uncertainty. Bayesian machine learning techniques can help us to more effectively address the limits to our understanding of world problems. This class covers the major related techniques, including Bayesian inference, conjugate prior probabilities, naive Bayes classifiers, expectation maximization, Markov chain monte carlo, and variational inference.
SYS 6016: Machine Learning
Credits: 3
A graduate-level course on machine learning techniques and applications with emphasis on their application to systems engineering. Topics include: Bayesian learning, evolutionary algorithms, instance-based learning, reinforcement learning, and neural networks. Students are required to have sufficient computational background to complete several substantive programming assignments. Prerequisite: A course covering statistical techniques such as regression. Co-Listed with CS 6316.
SYS 6097: Graduate Teaching Instruction
Credits: 1–12
For master's students.
APMA 6430: Statistics for Engineers and Scientists
Credits: 3
Analyzes the role of statistics in science; hypothesis tests of significance; confidence intervals; design of experiments; regression; correlation analysis; analysis of variance; and introduction to statistical computing with statistical software libraries. Prerequisite: Admission to graduate studies.
DS 6559: New Course in Data Science
Credits: 1–4
This course provides the opportunity to offer a new topic in the subject area of data science.
SYS 6993: Independent Study
Credits: 1–12
Detailed study of graduate course material on an independent basis under the guidance of a faculty member.
SYS 6995: Supervised Project Research
Credits: 1–12
Formal record of student commitment to project research under the guidance of a faculty advisor. Registration may be repeated as necessary.
DS 6999: Independent Study
Credits: 1–12
Graduate-level independent study conducted under the supervision of a specific instructor(s)
SYS 7993: Independent Study
Credits: 1–12
Detailed study of graduate course material on an independent basis under the guidance of a faculty member.
SYS 8999: Non-Topical Research, Masters
Credits: 1–12
Formal record of student commitment to master's research under the guidance of a faculty advisor. Registration may be repeated as necessary.
SYS 9997: Graduate Teaching Instruction
Credits: 1–12
For doctoral students.
SYS 9999: Dissertation
Credits: 1–12
For doctoral students.

IEEE Joseph Wohl Career Achievement Award 2007

IEEE Intelligence and Security Informatics Award 2005

IEEE Norber Wiener Award 2002

IEEE Millenium Award 1999

Governor's Technology Award, Virginia 1999

Fellow, IEEE 1996