Victor M. Preciado is an Associate Professor and Graduate Chair in the Department of Electrical and Systems Engineering at the University of Pennsylvania, where he is affiliated with the Networked & Social Systems Engineering program, the Warren Center for Network & Data Sciences, and the Applied Math and Computational Science program. He received the Ph.D. degree in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology under the supervision of Prof. George Verghese and was a postdoctoral researcher at the GRASP lab working with Prof. Ali Jadbabaie. He was a recipient of the 2017 National Science Foundation CAREER Award, the 2018 Best Paper Award by the IEEE Control Systems Magazine for his work on control of epidemics, and a runner-up of the 2019 Best Paper Award by the IEEE Transactions on Network Science and Engineering for his work on analysis of epidemics in temporal networks. 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 ofNetworks, Dynamics, and Data Sciences; in particular, in using innovative mathematical and computational approaches to model and control 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, resilience of networked infrastructure, and brain dynamics.
