Pedro Vilanova-Guerra (pguerra)

Pedro Vilanova-Guerra

Teaching Assistant Professor

Charles V. Schaefer, Jr. School of Engineering and Science

Department of Mathematical Sciences

North Building 222

Experience

Postdoc, Department of Mathematical Sciences, New Jersey Institute of Technology.
Postdoc, Department of Mathematics and Statistics, UMass Amherst.
Postdoc, Applied Mathematics and Computational Science division, KAUST.

Institutional Service

  • SPR 2023 Faculty Welcome - MSDS Online Member

Professional Societies

  • AMS Mathematical Reviews Member

Selected Publications

• Refereed Journal Papers

Title: Synchronization in Stochastic Biochemical Oscillators Subject to Common Multiplicative Extrinsic Noise.
Author(s): J. Maclaurin and P. Vilanova
Journal name: SIAM Journal Applied Dynamical Systems
Date of publication: 2021

Title: Data-driven, variational model reduction of high-dimensional reaction networks.
Author(s): M. Katsoulakis and P. Vilanova
Journal name: Journal of Computational Physics
Date of publication: 2020

Title: A multilevel adaptive reaction-splitting simulation method for stochastic reaction networks.
Author(s): A. Moraes, R. Tempone, and P. Vilanova
Journal name: SIAM Journal on Scientific Computing
Date of publication: 2016

Title: Multilevel hybrid Chernoff tau-leap.
Author(s): A. Moraes, R. Tempone, and P. Vilanova
Journal name: BIT Numerical Mathematics
Date of publication: 2016

Title: An efficient forward-reverse expectation-maximization algorithm for statistical inference in stochastic reaction networks.
Author(s): C. Bayer, A. Moraes, R. Tempone, and P. Vilanova
Journal name: Stochastic Analysis and Applications
Date of publication: 2016

Title: Multiscale modeling of wear degradation in cylinder liners.
Author(s): A. Moraes, F. Ruggeri, R. Tempone, and P. Vilanova
Journal name: Multiscale Modeling & Simulation
Date of publication: 2014

Title: Hybrid Chernoff tau-leap.
Author(s): A. Moraes, R. Tempone, and P. Vilanova
Journal name: Multiscale Modeling & Simulation
Date of publication: 2014

• Refereed Conference Papers

Title: Towards confident Bayesian parameter estimation in stochastic chemical kinetics.
Author(s): S. Engblom, R. Eriksson, and P. Vilanova
Conference name: Numerical Mathematics and Advanced Applications
Paper acceptance rate (if not known, just say not known): not known
Date of publication: 2020

Title: Mean-field learning for satisfactory solutions.
Author(s): H. Tembine, R. Tempone, and P. Vilanova
Conference name: In Decision and Control (CDC), 2013 IEEE 52nd Annual Conference
Paper acceptance rate (if not known, just say not known): not known
Date of publication: 2013

Title: Noisy mean-field game model for malware propagation in opportunistic networks.
Author(s): M. Debbah, H. Tembine, and P. Vilanova
Conference name: In Game Theory for Networks
Paper acceptance rate (if not known, just say not known): not known
Date of publication: 2012

Title: Mean-field games for cognitive radio networks.
Author(s): H. Tembine, R. Tempone, and P. Vilanova
Conference name: In 2012 American Control Conference (ACC)
Paper acceptance rate (if not known, just say not known): not known
Date of publication: 2012

Title: Mean-field stochastic games for SINR-based medium access control.
Author(s): M. Assaad, M. Debbah, H. Tembine, and P. Vilanova
Conference name: In Proceedings of the 5th International ICST Conference on Performance Evaluation Methodologies and Tools, VALUETOOLS 11
Paper acceptance rate (if not known, just say not known): not known
Date of publication: 2011

Title: Mean-field interaction in biochemical reaction networks.
Author(s): H. Tembine, R. Tempone, and P. Vilanova
Conference name: In Proceedings of the 49th Annual Allerton Conference on Communication, Control, and Computing (Allerton)
Paper acceptance rate (if not known, just say not known): not known
Date of publication: 2011

Title: Statecharts and Variabilities.
Author(s): P. Vilanova and N. Szasz
Conference name: In Proceedings of the Second International Workshop on Variability Modelling of Software-Intensive Systems
Paper acceptance rate (if not known, just say not known): not known
Date of publication: 2008

• Other Publications (e.g., compositions, plays, software, database, etc.)
Scientific libraries

MATLAB suite of programs for the accurate and efficient simulation and inference of continuous-time Markov Chains and Ito Stochastic Differential Equations, with the following features:
Adaptive time-stepping Automatic global error control High dimensional systems Multiscale and “stiff” systems Multilevel Monte Carlo support Parameter fitting from data Fast sensitivity analysis Model reduction and selection

Courses

MA 222 Probability and Statistics
MA 225 Infinite Series / MA231 Nonlinear Optimization
MA 331 Intermediate Statistics
MA 346 Numerical Methods
MA 540 Theory of Probability
MA 575 Optimization Models in Quantitative Finance
MA 576 Optimization for Data Science