Geoffrey Dobson

Geoffrey Dobson is a Systems Scientist at Carnegie Mellon University, affiliated with the Software and Societal Systems Department within the School of Computer Science since 2022. Based in TCS Hall at 5000 Forbes Avenue, Pittsburgh, he focuses on cybersecurity research that bridges technical systems and societal impacts, contributing to the department's mission of addressing complex real-world challenges through computing.

Dr. Dobson's research centers on cybersecurity, agent-based simulation, and human factors in security. He investigates cyber team performance under attack, models cybercriminal behavior, and evaluates intrusion detection systems through frameworks like Cyber-FIT and OSIRIS. His work develops realistic cyber exercise environments to enhance organizational security postures against evolving threats, with particular emphasis on human decision-making in cyber operations and the design of effective training simulations.

Analysis of his 2021-2025 publications reveals a cohesive trajectory in cyber team performance simulation, characterized by the development of the Cyber-FIT and OSIRIS frameworks. These projects integrate agent-based modeling, machine learning, and empirical validation to simulate adversarial behaviors and organizational responses. His research consistently addresses the human-technical interface in cybersecurity, with applications spanning phishing defense, ransomware impact assessment, and cyber range infrastructure design.

Dr. Dobson's work is fundamentally tied to cyber simulation frameworks that model organizational responses to intrusions. The Cyber-FIT framework provides agent-based modeling of cyber forces, interactions, and terrain, while OSIRIS specializes in simulating organizational responses to intrusion strategies. These tools enable realistic cyber range environments for training, research, and defense strategy validation, supporting both academic studies and operational cybersecurity practices in government and industry contexts.