Computer science and engineering professional

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.

Grace Hopper Grant (2015)

Grad Cohort Workshop (2015)

Presidential Fellowship (2013-17) Deans List (2009-13

·       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

Grace Hopper Women in Computing

Computing Research Association

Modeling and Simulation: Fundamentals and Implementation

Introduction to Computer Programming

Computer Programming Design

Data Structures

National Society of Black Engineers

●      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

Alpha Kappa Mu Honor Society