Francesco Sorrentino
Associate 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 optimal 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 optimal control to design drug dosage schedules for biomedical applications.

He has published more than 50 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.

Professor Sorrentino is affiliated with the Autophagy, Inflammation and Metabolism (AIM) Center of Biomedical Research Excellence at UNM.

In collaboration with a group of biologists at Los Alamos Laboratory, we are working on the problem of regulating autophagy at the level of a single cell. For more information visit this link.