|SaBra A. Neal, PhD
Computer science and engineering professional
|Analytical, inquisitive computer science and engineering specialist with a solid foundation in research, math, programming, and modeling and simulation of Dynamic Data Driven Application Systems (DDDAS). Uses advanced information technology to address a variety of engineering and scientific encounters.|
|Phone: 803.240.0363||8/2013 – 5/2018 Georgia Institute of Technology – College of Computing: School of Computational Science and Engineering (Georgia Tech)
Graduate Research Assistant
· Researched power consumption of traffic simulators to predict overall throughput time on mobile devices/
· Researched power consumption of HLA Data Distribution Management Grid-Based Method during communication/
· Presented findings at Georgia Tech’s Big Data Industry Forum.
5/2011-8/2016 (seasonal) US Army Corps of Engineers Research and Development Center ITL
· Developed a discrete event simulation model for Joint Logistics Over the Shore operations in an austere environment.
· Developed a discrete event simulation model for Offshore Petroleum Discharge System.
· Developed a technique to combine output from an Army Logistics simulation system to measure time under different conditions and scenarios.
· Manipulated existing terrain data to create realistic, computer-generated scenes to improve the ability to sense remote targets of interest.
5/2013-8/2013 CRUISE Program, Georgia Institute of Technology
· Conducted research on crowdsourcing.
· Compiled literature that helped to identify various uses of crowd sourced data to drive a DDDDAS focused on transportation.
· Presented findings at the CRUISE Symposium.
8/2011-5/2013 North Carolina Agricultural and Technical State University – Dept. of Computer Science
Undergraduate Research Assistant
· Conducted research in bioinformatics in Identity Sciences
· Developed genetic and evolutionary feature extraction techniques for facial recognition and biometric-based access control protocols.
· Developed novel feature extraction/ selection techniques that could recognize device users based on mouse usage.
|Unix shell script|
|Design and Architecture:|
|Object-Oriented Analysis & Design|
|Honors and Awards:|
|ACM SISGSIM WSC Student Travel Award (2016, 2017)|
|Google Research Summit (2017)|
|Facebook Women in Research (2017)
Grace Hopper Grant (2015)
Grad Cohort Workshop (2015)
Presidential Fellowship (2013-17) Deans List (2009-13
|NSF Scholar (2009-13||Education|
|Dowdy Scholarship (2009-13)||Georgia Institute of Technology – Atlanta, GA
· PhD, Computational Science and Engineering (2018)
· Thesis Title: Energy Efficient Data Driven Distributed Traffic Simulations
· Advisor: Richard M. Fujimoto
North Carolina Agricultural and Technical University – Greensboro, NC (2013)
· B.S. Computer Science
· Summa Cum Laude
|Winter Simulation Conference
Grace Hopper Women in Computing
Computing Research Association
|Principles of Advanced and Discrete Simulation||Teaching Experience|
|Computational Problem Solving
Modeling and Simulation: Fundamentals and Implementation
Introduction to Computer Programming
Computer Programming Design
|Activities & Honor Societies|
|Black Grad Students Association|
|Society of Women Engineers
National Society of Black Engineers
|NCA&T Honors Program||Publications and Presentations|
|Phi Kappa Phi||● Neal, S., Fujimoto, R.M. “Power Consumption of Future Event List Implementations in Discrete Event Simulations”, Spring Simulation Conference, April 2018.
● Neal, S., Fujimoto, R.M. “Energy Consumption of HLA Data Distribution Management Approaches”, Winter Simulation Conference, December 2017.
● R.M. Fujimoto, M. Hunter, A. Biswas, M. Jackson, S. Neal, “Power Efficient Distributed Simulation,” Principles of Advanced Discrete Simulation, May 2017.
● Neal, S., Fujimoto, R.M., Hunter, M. “Energy Consumption of Data Driven Traffic Simulations”, Winter Simulation Conference, December 2016.
● Fujimoto, R.M., Guin, A., Hunter, M., Park,H., Kannan, R., Kanitkar, G., Milholen, M., Neal,S., Pecher, P., “A Dynamic Data Driven Application System for Vehicle Tracking,” 2014 International Conference on Computational Science, Dynamic Data Driven Application Systems Workshop, June 2014
● Neal, S., Kanitkar, G., Fujimoto, R.M., “Power Consumption of Data Distribution Management for On-line Systems”, Principles of Advanced and Discrete Simulation, May 2014.
● Shelton, J., Adams, J., Alford, A., Venable, M., Neal, S., Dozier, G., & Bryant, K. (2012, July). Mitigating replay attacks using Darwinian-based Feature Extraction. In Computational Intelligence for Security and Defense Applications (CISDA), 2012 IEEE Symposium on (pp. 1-7). IEEE.
● Adams, J., Shelton, J., Small, L., Neal, S., Venable, M., Kim, J. H., and Dozier, G. “Darwinian-based Feature Extraction Using K-Means and Kohonen Clustering,” The 23nd Midwest Artificial Intelligence and Cognitive Science Conference (MAICS), Cincinnati, OH, April 21-22, 2012.
● Shelton, J., Venable, M., Neal, S., Adams, J., Alford, A., and Dozier, G. (2012). “Pixel Consistency, K-Tournament Selection, and Darwinian-Based Feature Extraction.” The 23nd Midwest Artificial Intelligence and Cognitive Science Conference (MAICS), Cincinnati, OH, April 21-22, 2012.
● National Science Foundation Presentation
Michigan State University
BEACON Center for the Study of Evolution in Action
Presentation on Darwinian Feature Extraction
|Upsilon Pi Epsilon Computer Science Honor Society
Alpha Kappa Mu Honor Society