Victor M. Preciado is an Associate Professor 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, and has been a visiting scientist at UC Berkeley and Santa Fe Institute. He is a recipient of the 2017 National Science Foundation CAREER Award.

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


  • My doctoral student Mahyar Fazlyab successfully defended his PhD thesis, July 2018.
  • Invited Seminars at Princeton, Columbia, and Wharton Stats. Fall 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 for our work on brain functional connectivity (Feb 2016, as advisor of C. Becker)
  • 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)
  • Invited seminar at Tokyo Institute of Technology, Dec 2015
  • General chair of the 5th IFAC Workshop on Distributed Estimation and Control in Networked SystemsSep 2015
  • Seminars at MIT, Harvard, BU, and Northeastern. Fall 2015
  • Teaching high-school students about Engineering Complex Networks at ESAP'15, July 2015
  • Member of IFAC Technical Committee on Networked Systems
  • Invited seminar at University of Maryland, Spring 2015
  • Invited seminar at the IEEE Philadelphia Section, Spring 2015
  • Member of IEEE Technical Committee on Medical and Health Care Systems
  • Invited seminar at Yale University, Fall 2014
  • Invited seminar at University of Washington, Fall 2014
  • Member of IFAC Technical Committee on Social Impact of Automation
  • NSF project on Spectral Analysis of Big Data, August 2014
  • Organizing the Network Theory Symposium at GlobalSIP'14