About Marco Scavino Marco Scavino Visiting Scholar, Stochastic Numerics Research Group Stochastic Modeling statistics Marco Scavino is a Former Visiting Associate Professor from Universidad de la República, Uruguay, at Professor Raul F. Tempone's Stochastic Numerics Research Group at King Abdullah University of Science and Technology (KAUST). Research Interests Marco's research interests include Bayesian techniques for uncertainty quantification, statistical methods of experimental design, statistical procedures for model calibration, selection and validation, multivariate data analysis, statistical inference for stochastic processes, and stochastic modeling. Selected Publications A Laplace method for under Articles Related News September 2018 Zaid Sawlan successfully defended his PhD thesis 3 min read · Thu, Sep 27 2018 News On September 26th, 2018, Zaid Sawlan successfully defended his Ph.D. thesis entitled "Statistical analysis and Bayesian methods for fatigue life prediction and inverse problems in linear time-dependent PDEs with uncertainties." May 2017 Prof. Raul Tempone is an invited speaker at INdAM Workshop 1 min read · Mon, May 15 2017 News Prof. Raul Tempone is an invited speaker at INdAM Workshop on Innovative Mathematical Models and Methods for Industrial Applications, Rome, Italy, May 15-19 2017. April 2017 Soumaya ElKantassi successfully defended her MS Thesis 1 min read · Sun, Apr 16 2017 News On April 12th, 2017, Soumaya ElKantassi successfully defended her MS Thesis entitled "Probabilistic Forecast of Wind Power Generation by Stochastic Differential Equation Models". March 2017 Prof. Marco Scavino to visit the Stochastic Numerics Research Group 1 min read · Tue, Mar 7 2017 News Prof. Marco Scavino will be visiting the Stochastic Numerics Research Group from March 7 to May 8, 2017. November 2016 Prof. Marco Scavino will participate in KAUST recruiting activities developed by the Office of International Programs 1 min read · Mon, Nov 7 2016 News On November 7-9, Prof. Marco Scavino will participate in KAUST recruiting activities developed by the Office of International Programs with visits to Tecnológico de Monterrey and Universidad Nacional Autónoma de México (UNAM). September 2016 Prof. Marco Scavino will be visiting the Stochastic Numerics Research Group during the period Sep. 23 - Oct. 7, 2016 1 min read · Fri, Sep 23 2016 News Prof. Marco Scavino will be visiting the Stochastic Numerics Research Group during the period of Sep. 23 - Oct. 7, 2016. July 2015 Our research on optimal experimental design is highlighted on KAUST discovery 1 min read · Sun, Jul 12 2015 News A fast computational method optimizes sensor measurement networks for noisy, sparsely observed environments. Taking the guesswork out of experimental design 1 min read · Sat, Jul 11 2015 News applied mathematics computational science computing A fast computational method optimizes sensor measurement networks for noisy, sparsely observed environments. January 2015 SRI UQ Annual Workshop 2015 1 min read · Tue, Jan 6 2015 News Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2015). October 2014 Seminar: Bayesian experimental designs By Prof. Marco Scavino (visiting Faculty at KAUST) 1 min read · Thu, Oct 23 2014 News Bayesian experimental designs By Prof. Marco Scavino.
Zaid Sawlan successfully defended his PhD thesis 3 min read · Thu, Sep 27 2018 News On September 26th, 2018, Zaid Sawlan successfully defended his Ph.D. thesis entitled "Statistical analysis and Bayesian methods for fatigue life prediction and inverse problems in linear time-dependent PDEs with uncertainties."
Prof. Raul Tempone is an invited speaker at INdAM Workshop 1 min read · Mon, May 15 2017 News Prof. Raul Tempone is an invited speaker at INdAM Workshop on Innovative Mathematical Models and Methods for Industrial Applications, Rome, Italy, May 15-19 2017.
Soumaya ElKantassi successfully defended her MS Thesis 1 min read · Sun, Apr 16 2017 News On April 12th, 2017, Soumaya ElKantassi successfully defended her MS Thesis entitled "Probabilistic Forecast of Wind Power Generation by Stochastic Differential Equation Models".
Prof. Marco Scavino to visit the Stochastic Numerics Research Group 1 min read · Tue, Mar 7 2017 News Prof. Marco Scavino will be visiting the Stochastic Numerics Research Group from March 7 to May 8, 2017.
Prof. Marco Scavino will participate in KAUST recruiting activities developed by the Office of International Programs 1 min read · Mon, Nov 7 2016 News On November 7-9, Prof. Marco Scavino will participate in KAUST recruiting activities developed by the Office of International Programs with visits to Tecnológico de Monterrey and Universidad Nacional Autónoma de México (UNAM).
Prof. Marco Scavino will be visiting the Stochastic Numerics Research Group during the period Sep. 23 - Oct. 7, 2016 1 min read · Fri, Sep 23 2016 News Prof. Marco Scavino will be visiting the Stochastic Numerics Research Group during the period of Sep. 23 - Oct. 7, 2016.
Our research on optimal experimental design is highlighted on KAUST discovery 1 min read · Sun, Jul 12 2015 News A fast computational method optimizes sensor measurement networks for noisy, sparsely observed environments.
Taking the guesswork out of experimental design 1 min read · Sat, Jul 11 2015 News applied mathematics computational science computing A fast computational method optimizes sensor measurement networks for noisy, sparsely observed environments.
SRI UQ Annual Workshop 2015 1 min read · Tue, Jan 6 2015 News Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2015).
Seminar: Bayesian experimental designs By Prof. Marco Scavino (visiting Faculty at KAUST) 1 min read · Thu, Oct 23 2014 News Bayesian experimental designs By Prof. Marco Scavino.
