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, the PRECISE Center, 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 (under the supervision of Prof. George Verghese). Prof. Preciado was a visiting scholar at UC Berkeley and Santa Fe Institute, a visiting professor at the Courant Institute for Mathematical Science (NYU), and a postdoctoral researcher at the GRASP General Robotics lab (working with Prof. Ali Jadbabaie).
Prof. Preciado 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 received 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 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.
E-mail: preciado{at}seas<dot|upenn|dot>edu
RESEARCH HIGHLIGHT: Modeling and Control of Epidemics
LATEST NEWS & COMING EVENTS:
Honorable mention for the 2022 IEEE Transactions on Robotics Best Paper Award.
Finalist of the 2022 IEEE Robotics and Automation Society Best Paper Award in the Model-Based Optimization for Robotics TC.
Guest Editor of Special Issue on PANDEMICS in the Annual Reviews in Control.
Associate Editor for IEEE Transactions on Control of Network Systems.
Guest Editor of Special Issue on COVID-19 in the Annual Reviews in Control.
Guest Editor of Special Issue on Control of Epidemics in SIAM Journal on Control and Optimization.
Associate Editor for IEEE Transactions on Network Science and Engineering.
Associate Editor for AIMS Journal on Networks and Heterogeneous Media.
Runner-up of the 2019 IEEE Trans. on Network Science and Engineering Best Paper Award.
Winner of the 2018 IEEE Control Systems Magazine Outstanding Paper Award.
Graduate Chair in Electrical and Systems Engineering, 2018.
Congratulations to our team member, Dr. Mahyar Fazlyab, for winning the Best PhD Thesis Award in Electrical and Systems Engineering at Penn.
Promoted to Associate Professor (with Tenure), July 2018.
General Chair, Penn Workshop on Network Resilience, Nov 2017.
National Science Foundation CAREER Award, February 2017.
Outstanding Research Award at the Stochastic Network Conference for our work on spectral analysis of random graphs (with A. Rahimian). June 2016.
SELECTED RECENT PUBLICATIONS (full list):
Learning Operators with Coupled Attention, Journal of Machine Learning Research, 2022.
Stabilization of Complementarity Systems via Contact-Aware Controllers, IEEE Transactions on Robotics, 2022.
Adaptive Test Allocation for Outbreak Detection and Tracking in Contact Networks, SIAM Journal on Control and Optimization, 2022
Multitask Learning and Nonlinear Optimal Control of the COVID-19 Pandemic: A Geometric Programming Approach, Annual Reviews in Control, 2021.
Analysis of Epidemics in Networks via the Non-Backtracking Matrix, IMA Journal of Applied Mathematics, 2020
Stability of SIS Epidemic Processes in Networks with Non-Markovian Transmission and Recovery, IEEE Transactions on Control of Network Systems
Optimal Containment of Epidemics over Temporal Activity-Dependent Networks, SIAM Journal on Applied Mathematics
Analysis of Optimization Algorithms via Integral Quadratic Constraints, SIAM Journal on Optimization
Stability of Spreading Processes over Time-Varying Large-Scale Networks, IEEE Transactions on Network Science and Engineering
Analysis and Control of Epidemics: A Survey, IEEE Control Systems Magazine, 2016
Optimal Resource Allocation for Network Protection Against Spreading Processes, IEEE TCNS 2014