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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 |
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LATEST NEWS & COMING EVENTS:- 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
- 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
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SELECTED RECENT PUBLICATIONS (full list):
- Design of First-Order Optimization Algorithms via Sum-of-Squares Programming, submitted for publication
- Analysis of Optimization Algorithms via Integral Quadratic Constraints: Non-Strongly Convex Problems, submitted for publication
- 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
- Epidemic Processes over Adaptive State-Dependent Networks, Physical Review E 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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