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. Victor received the Ph.D. degree in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology. He was a recipient of the 2017 National Science Foundation CAREER Award, the 2018 Outstanding Paper Award by the IEEE Control Systems Magazine, and a runner-up of the 2019 Best Paper Award by the IEEE Transactions on Network Science and Engineering.

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 and control complex, high-dimensional dynamical systems. Relevant applications of this line of research can be found in the context of socio-technical networks, healthcare operations, critical technological infrastructure, and brain dynamics.

: preciado [at] seas [dot] upenn [dot] edu;  
Office: 3401 Walnut Street, Office 410B


  • Runner-up of the 2019 Best Paper Award from the IEEE Transactions on Network Science and Engineering for paper with M. Ogura.
  • Invited seminar at Courant Institute NYU, Spring 2018.
  • Winner of the 2018 Outstanding Paper Award from the IEEE Control Systems Magazine for paper "Analysis and Control of Epidemics" with C. Nowzari and G. Pappas.
  • Invited seminar at Wharton Stats Department, Fall 2018.
  • Chair of the Graduate Group in Electrical and Systems Engineering, July 2018.
  • My doctoral student Mahyar Fazlyab successfully defended his PhD thesis, July 2018.
  • Promoted to Associate Professor (with Tenure), July 2018
  • General Chair, Penn Workshop on Network Resilience, Nov 2017
  • National Science Foundation CAREER Award, February 2017
  • Invited seminars are USC and UCLA. Fall 2017
  • Invited seminar at Purdue and Rutgers. Spring 2017
  • Outstanding Poster Award at the Stochastic Network Conference for our work on spectral analysis of random graphs (with A. Rahimian). June 2016.
  • Best Research Poster at the IEEE DIG's Forum (as advisor of C. Becker). Feb 2016.
  • Our work on control of epidemics is on the cover of IEEE Control Systems Magazine (Feb 2016)
  • New course on Data Science (feat. in Daily Pennsylvanian)