I am an Assistant Professor at the Computational and Data Sciences department at George Mason University (GMU). I design data-driven computational models to tackle domain-specific problems in cybersecurity and urban systems. My primary research tools are modeling and simulation, machine/statistical learning, and network science or some combination of those.
I am currently working on a research project to investigate the relationship between cyber security threats and conflicts between nations. In addition to that, I am teaching CDS 230 - Modeling and Simulation I.
1. Temporal and Spatiotemporal Investigation of Tourist Attraction Visit Sentiment on Twitter
J.J. Padilla, H. Kavak, C.J. Lynch, S.Y. Diallo, R.J. Gore,
PLOS One, 2018, doi:10.1371/journal.pone.0198857
2. Fine-Scale Prediction of People's Home Location using Social Media Footprints H. Kavak, Vernon-Bido and J.J. Padilla
SBP-BRIMS Conference 2018, Washington, DC, July 10-13, 2018
3. Big Data, Agents, and Machine Learning: towards A Data-Driven Agent-based Modeling Approach
H. Kavak, J.J. Padilla, C.J. Lynch, and S.Y. Diallo
51st Annual Simulation Symposium, Baltimore, MD, April 15-18, 2018, doi: 10.22360/SpringSim.2018.ANSS.021
4. The Spread of Wi-Fi Router Malware Revisited
H. Kavak, J.J. Padilla, D. Vernon-Bido, R.J. Gore, and S.Y. Diallo
20th Communications and Networking Simulation Symposium, Virginia Beach, VA, April 23-26, 2017 https://www.researchgate.net/publication/316527645_The_Spread_of_Wi-Fi_Router_Malware_Revisited