Francesco Sorrentino has been awarded the National Institute of Health (NIH) Trailblazer Award from the National Institute of Biomedical Imaging and Bioengineering (NIBIB) for a project involving optimal control of drug dosages.



Reservoir computers are special types of machines, where each node of the reservoir can be described by a specific type of dynamical function. We are studying the effects of choosing different types of nodal dynamics on the stability and performance of reservoir computers. Our first paper on this subject can be found at this link: visit this link


Many studies in the literature have explored how one may control networks. Our previous work has involved designing optimal control strategies for both linear and nonlinear complex networks. However, the issue of uncertainty, which is crucial to biological systems and networks, has received little attention. Isaac Klickstein and Francesco Sorrentino are pioneering a new research direction where they use optimal control theory to account for the uncertainty in these systems. Results obtained so far include analytic scaling relationships for the control energy as the uncertainty is increased in the system.

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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


  1. 1. Cluster synchronization and isolated desynchronization in complex networks with symmetries. Louis M Pecora; Francesco Sorrentino; Aaron M Hagerstrom; Thomas E Murphy; and Rajarshi Roy. Nature Communications, 5: 4079. 2014.

  2. 2. Structural permeability of complex networks to control signals. Francesco Lo Iudice; Franco Garofalo; and Francesco Sorrentino. Nature Communications, 6: 8349. 2015.

  3. 3. Complete characterization of the stability of cluster synchronization in complex dynamical networks. Francesco Sorrentino; Louis M Pecora; Aaron M Hagerstrom; Thomas E Murphy; and Rajarshi Roy. Science Advances, 2(4): e1501737. 2016.

  4. 4. Energy scaling of targeted optimal control of complex networks. Isaac Klickstein; Afroza Shirin; and Francesco Sorrentino. Nature Communications, 8: 15145. 2017.

  5. 5. Symmetries and Cluster Synchronization in Multilayer Networks. Fabio Della Rossa; Louis Pecora; Karen A Blaha; Afroza Shirin; Isaac Klickstein; and Francesco Sorrentino. Nature Communications, 11: 3179. 2020.

  6. 6. Controlling Network Ensembles. Isaac Klickstein and Francesco Sorrentino. Nature Communications, 12:1884,2021.

  7. 7. One-way depedent clusters and stability of cluster synchronization in directed networks. Matteo Lodi; Francesco Sorrentino; and Marco Storace. Nature Communications,2021.