Collaboration is a useful principle observed in nature, where collective intelligence can enable species to make superior decisions in complex ecosystems. Contrasting with coordination, where individuals can share information to achieve individual or group goals, true collaboration implies a collective capability greater than the sum of independent efforts. However, implementing collaboration in man-made autonomous systems can prove exceptionally difficult, with challenges including communication limitations, dynamically changing environments, and scalability issues. As our technological ecosystems grow in complexity, including diverse multi-agent systems such as robotic swarms, epidemic processes, and other critical cyber-physical systems, our need for explainable frameworks that can facilitate such collaboration reliably and safely increases.

With an emphasis on networked control systems and safety-critical control, my research focuses on bridging the gap between theory and application. I strive for research that advances our basic understanding of core concepts that can be applied across a rich class of systems and domains, with tangible and relevant results. Thus, my past and current work include applications across multiple domains that build toward the goal of designing explainable safe and collaborative control frameworks for dynamic and networked autonomous systems.