Francesco Sorrentino
Assistant Professor
Department of Mechanical Engineering and
Department of Electrical and Computer Engineering
University of New Mexico
Albuquerque, New Mexico 87131 USA  

Francesco Sorrentino received a master's degree in Industrial Engineering from the University of Naples Federico II (Italy) in 2003 and a Ph.D. in Control Engineering from the University of Naples Federico II (Italy) in 2007.

His expertise is in dynamical systems and controls, with particular emphasis on nonlinear dynamics and adaptive decentralized control. His work includes studies on dynamics and control of complex dynamical networks and hypernetworks, adaptation in complex systems, sensor adaptive networks, coordinated autonomous vehicles operating in a dynamically changing environment, and identification of nonlinear systems. He is interested in applying the theory of dynamical systems to model, analyze, and control the dynamics of complex distributed energy systems, such as power networks and smart grids. Subjects of current investigation are evolutionary game theory on networks (evolutionary graph theory), the dynamics of large networks of coupled neurons, and the use of adaptive techniques for dynamical identification of communication delays between coupled mobile platforms.

He has published more than 40 papers in International Scientific Peer Reviewed Journals.

Dr. Francesco's research is funded by the National Science Foundation, the Office of Naval Research, and the Defense Threat Reduction Agency.

August 2017
Sorrentino, Hossein-Zadeh (UNM, ECE) and Blaha awarded NSF grant "Dynamics of Coupled Heterogeneous Oscillators with Application to Biological Systems"

Postdoc position available