Victor M. Preciado is an Associate Professor in the Departments of Electrical & Systems Engineering and Computer & Information Science at the University of Pennsylvania, where he is affiliated with the Warren Center for Network & Data Sciences and the Applied Math and Computational Science graduate group. He received the Ph.D. degree in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology. Prof. Preciado was a visiting scholar at UC Berkeley and Santa Fe Institute, a postdoctoral researcher at the GRASP General Robotics lab (working with Prof. Ali Jadbabaie), and a visiting professor at the Courant Institute for Mathematical Science (NYU). He was a recipient of the 2017 National Science Foundation CAREER Award, the 2018 IEEE Control Systems Magazine Best Paper Award, a runner-up of the 2019 IEEE Transactions on Network Science and Engineering Best Paper Award, a finalist of the 2022 IEEE Robotics and Automation Society Best Paper Award in the Model-Based Optimization for Robotics TC, and honorable mention for the 2022 IEEE Transactions on Robotics Best Paper Award. He is an IEEE Senior Member, as well as Associate Editor of the IEEE Transactions on Network Science and Engineering and the IEEE Transactions on Control of Networked Systems.

His main research interests lie at the intersection of Networks, Dynamics, and Data Sciences; in particular, in using innovative mathematical and computational approaches to model complex, high-dimensional dynamical systems. Relevant applications of this line of research can be found in the context of epidemic modeling and control, information spreading over socio-technical networks, finance, resilience of networked infrastructure, and brain dynamics.

E-mail: preciado{at}seas<dot|upenn|dot>edu

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RESEARCH HIGHLIGHT: Modeling and Control of Epidemics

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