Research Interests

Broadly, my general areas of interest are Dynamic Systems, Robotics, and Control. I am particularly interested in the development of analysis tools and algorithms for multi-agent systems. A multi-agent system consists of multiple parts, robots, processors or decision-makers (humans/agents) that interact with each other over a network and in an environment. Multi-agent systems can be natural or engineered, and include many exmples such as physical and social networks, epidemic networks, infrastructure (power/traffic) systems, or mixed human-robot groups.

The analysis of multi-agent systems requires the integration of several mathematical disciplines including Nonlinear/Hybrid Systems Control, Control under Uncertainty, Distributed Decision Making and Optimization, Distributed Estimation and Inference, Game Theory, Artificial Intelligence, Machine Learning, and Parallel Processing, among others. I have a special interest in developing the mathematical theory and tools that can provide the basis of provably-correct algorithms for controls and robotics systems applications.

Current research focus are on data-driven control and distributed learning; resilience of control systems and robots subject to adversarial attacks, safety and privacy algorithms for networked systems, and game theory for multi-agent coordination. Applications of interest include not only robotic systems (see some work in the MURO lab here), but also the analysis and design of infrastructure/complex networks. In this way, I'm part of the UCSD DER Connect infrastructure project; see more information here .

For further details on our research, please read the current list of papers and visit the websites of current students listed here.

Currently Advised Students

Previously Advised Students