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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.
Personal Information Experience
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

Intern

·       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

Intern

·       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.

Email: sabra.a.neal@gmail.com
Web: http://www.sabraneal.com
Programming Languages:
C, C++
Python
SQL
Java
JNI Framework
Unix shell script
Version Control:
SVN
Git
Design and Architecture:
Object-Oriented Analysis & Design
Relational Design
UML
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

Conferences/ Workshops
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

Data Structures

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

Lansing, MI

December 2012

Presentation on Darwinian Feature Extraction

 

Upsilon Pi Epsilon Computer Science Honor Society

Alpha Kappa Mu Honor Society