Daniel Burbano Lombana

Daniel Burbano Lombana serves as an Assistant Professor in the Department of Electrical Engineering at Rutgers University, specializing in dynamical systems, control theory, and distributed network systems with applications spanning swarm intelligence, collective animal behavior, and robot autonomy.

Education:

• Ph.D. in Electrical Engineering, University of Naples Federico II, Italy (2015)
• M.S.c in Industrial Automation, National University of Colombia (2012)

Research Interests: His work integrates theoretical control frameworks with real-world networked systems, focusing on data-driven behavioral modeling, network inference & learning mechanisms, and optimization of distributed control architectures. Key applications include bio-inspired swarm robotics and collective decision-making in multi-agent systems.

Scientific Awards: No scientific awards were mentioned in the provided information.

Advising and Grants: Information regarding current advisees, doctoral students, or research grants is not specified in the available text.

Laboratory: He directs the Swarm Intelligence Lab at Rutgers University, which investigates emergent collective behavior in biological systems and develops scalable control algorithms for autonomous robotic swarms, as documented on the lab's official website.