Peter Foytik has been a modeling and simulation professional for over 12 years at the Virginia Modeling Analysis and Simulation Center (VMASC). Peter has a bachelor’s degree in computer science and a master’s of science in modeling and simulation. With a background in computer science, initial expertise has been in software development of support tools for simulations and models. He has extensive experience with work on application development that integrates with various transportation modeling and simulation tools. Projects include analysis applications that support macroscopic and mesoscopic model development.
He has experience researching microscopic and agent-based simulations integrated with custom applications giving greater control and analysis capabilities to the user. His latest research has utilized artificial intelligence methods to improve performance and calibration of models and simulations. His skill set has been applied even further to development with cyber-security applications for distributed systems and in the development of simulation tools to study these systems. He is currently pursuing his PhD in modeling and simulation with a research area in autonomous problem space exploration.
M.S. in Modeling and Simulation, 2013
Old Dominion University (ODU), Norfolk, VA
B.S. in Computer Science, 2005
Christopher Newport University (CNU), Newport News, VA
VMASC, Project Scientist
Suffolk, VA
2005 – Present
P Foytik, S Shetty, SP Gochhayat, E Herath, D Tosh, L Njilla (2020). A blockchain simulator for evaluating consensus algorithms in diverse networking environments. Proceedings of the 2020 Spring Simulation Conference, 1-12. DOI: 10.22360/SpringSim.2020.CSE.003
Peter Foytik, R. Michael Robinson. Weighting critical infrastructure dependencies to facilitate evacuations.International Journal of Disaster Risk Reduction, Volume 31, 2018, Pages 1199-1206, ISSN 2212-4209, https://doi.org/10.1016/j.ijdrr.2017.11.019.
Peter Foytik, Craig Jordan, and R. Michael Robinson. 2017. Exploring simulation based dynamic traffic assignment with a large-scale microscopic traffic simulation model. In Proceedings of the 50th Annual Simulation Symposium (ANSS ’17). Society for Computer Simulation International, San Diego, CA, USA, Article 11, 1–12.
Shetty, Sachin & Peter Foytik. (2019). “Blockchain for Distributed Systems Security. Chapter 13: Blockchain Evaluation Platform,” Pages 275-310. Wiley Online Library, DOI: 10.1002/9781119519621
