Victor M. Preciado

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.

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

RESEARCH HIGHLIGHTS:

LATEST NEWS & COMING EVENTS:
Chair of the Graduate Group in Electrical and Systems Engineering, July 2018.
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 Systems, Sep 2015
Seminars at MIT, Harvard, BU, and Northeastern. Fall 2015

SELECTED RECENT PUBLICATIONS (full list):
Analysis of Optimization Algorithms via Integral Quadratic Constraints, SIAM Journal on Optimization
Spectral Mapping of Brain Functional Connectivity from Diffusion Imaging, Scientific Reports 2018
Prediction-Correction Interior-Point Methods for Time-Varying Convex Optimization, IEEE Trans. on Automatic Control 2018
Stability of Spreading Processes over Time-Varying Large-Scale Networks, IEEE Trans. on Network Science and Engineering 2016
Analysis and Control of Epidemics: A Survey, IEEE Control Systems Magazine 2016
Topology Identification of Directed Dynamical Networks via Power Spectral Analysis, IEEE Transactions on Automatic Control 2015
Optimal Resource Allocation for Network Protection Against Spreading Processes, IEEE Transaction on Control of Network Systems 2014
Moment-Based Spectral Analysis of Large-Scale Networks Using Local Structural Information, ACM/IEEE Transactions on Networking 2013

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