Bryce L. Ferguson
Papers
1
Total Citations
5
H-Index
1
About
Bryce L. Ferguson is a rising scholar in the fields of game theory, multi-robot systems, and adversarial security, with a focus on dynamic resource allocation under uncertainty. His most-cited work, "Path Defense in Dynamic Defender-Attacker Blotto Games (dDAB) with Limited Information" (2023), introduces a novel framework for path guarding in graphs, where teams of robots must strategically defend critical routes against intelligent adversaries. This contribution bridges classical Blotto game theory with modern multi-robot coordination, demonstrating how limited information can be leveraged to design robust defense strategies. With early citations already accruing, Ferguson’s research is gaining traction for its practical relevance to security, infrastructure protection, and autonomous systems. His work stands out for its rigorous mathematical modeling and real-world applicability, offering new insights into how decentralized robotic teams can counter adversarial threats. As a young investigator, Ferguson is establishing himself at the intersection of theoretical game design and applied robotics, promising further impactful contributions to dynamic security games and multi-agent decision-making.
Research Focus
Key Achievements
Top Papers
- 1