About Soumaya Elkantassi Soumaya Elkantassi M.S., Applied Mathematics and Computational Science Stochastic processes Computational finance Soumaya Elkantassi obtained a Master's degree in Applied mathematics and Computational Sciences under the supervision of Professor Raul F. Tempone's at Stochastic Numerics Research Group at King Abdullah University of Science and Technology (KAUST). Research Interests Soumaya's research interests included Statistics, Probability Theory and Stochastic Processes, and Computational Finance. Education Profile M.Sc. in Applied mathematics and Computational Sciences, Statistics and Data Analysis, King Abdullah University of Science and Technology (2015 - 2017). Engineering in Economics and Articles Related News June 2017 Dr. Evangelia Kalligiannaki is invited to present her joint work with Soumaya El Kantassi and Prof. Raul Tempone on predictive wind power modeling in the UNCECOMP 2017 1 min read · Thu, Jun 15 2017 News Dr. Evangelia Kalligiannaki is invited to present her joint work with Soumaya El Kantassi and Prof. Raul Tempone on predictive wind power modeling in the UNCECOMP 2017, 15-17 June, Rhodes Island, Greece. 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".
Dr. Evangelia Kalligiannaki is invited to present her joint work with Soumaya El Kantassi and Prof. Raul Tempone on predictive wind power modeling in the UNCECOMP 2017 1 min read · Thu, Jun 15 2017 News Dr. Evangelia Kalligiannaki is invited to present her joint work with Soumaya El Kantassi and Prof. Raul Tempone on predictive wind power modeling in the UNCECOMP 2017, 15-17 June, Rhodes Island, Greece.
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".
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