Welcome

My research focuses on control theory and its application to complex autonomous systems. I am especially interested in nonlinear robust adaptive control, machine-learning based control, aerial robotics, and terrestrial robotics. My work is motivated by the belief that rigorous mathematics, computation, and experimentation should reinforce one another.

Many of the problems my students and I study arise from robotics applications such as autonomous sensing, tactical maneuvers, payload delivery, mobility over uncertain terrain, and resilient operation in challenging environments. These applications lead naturally to questions in adaptive, robust, optimal, hybrid, and data-driven control.

I believe that impactful engineering research is often cross-disciplinary. Modern autonomy requires ideas from dynamics, optimization, machine learning, robotics, perception, industrial engineering, aerospace engineering, mechanical engineering, and applied mathematics. This perspective shapes how I frame research questions, mentor students, and collaborate with colleagues.

Teaching and service are also central to my academic mission. I aim to help students develop both technical depth and independent reasoning, while contributing to an academic community that supports collaboration, outreach, and ambitious ideas.

In this website, you can find more about my research, my students, my teaching philosophy, and my professional service. Feel free to contact me should you need further information or wish to share constructive feedback.

Research Sponsors

Research Partners