Stochastic processes

Species count mRNA, proteins, dimers - jump processes

AMCS 308 Stochastic Numerics with Application in Simulation and Data Science

Monte Carlo methods. Simulation, estimation, data assimilation, and optimal control for time-discrete and time-continuous Markov chains

Approximate Computing With Stochastic Transistors’ Voltage Over-Scaling

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Ren Li, et al., "Approximate Computing With Stochastic Transistors’ Voltage Over-Scaling" IEEE Access 7, 2019, 6373. Ubiquitous computing and the ever-rising need for energy efficiency pose challenges in terms of the processing requirements and the corresponding machine complexity. Nonetheless, the nature of the underlying applications, particularly dealing with real-world data, offers alternative paradigms toward the efficient utilization of the available design resources. In this paper, approximate computing is addressed as an accommodating technique that can benefit from the inherent

CEMSE New Faculty: Joaquín Ortega Sánchez, Instructional Professor, Statistics

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Joaquín Ortega Sánchez is an instructional professor of statistics who joins the KAUST CEMSE Division after spending the last sixteen years working at the Mathematics Research Center (CIMAT) in Guanajuato, Mexico. Born in Venezuela, Ortega completed his postgraduate and graduate studies in London, where he studied mathematics at King’s College London, before obtaining his Ph.D. in Probability Theory across the city at Imperial College London. After his time in the U.K., he returned to his native Venezuela where he worked for over 20 years at the Universidad Central de Venezuela, Caracas. Over the course of his career, Ortega’s research work has focused on stochastic processes, specifically Gaussian processes and time series with applications in oceanography and biostatistics. And more recently his work has focused on functional data analysis.

Soumaya Elkantassi

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

Joaquin Ortega Sanchez

Instructional Professor, Statistics
Joaquín Ortega Sánchez is an instructional professor of statistics whose work has focused on stochastic processes, specifically Gaussian processes and time series, and more recently, functional data analysis.

Hiroyuki Kuwahara

Hiroyuki Kuwahara got his Ph.D. degree in Computer Science from the University of Utah in 2008. He was then a junior researcher at Microsoft Research - Trento during 2007 and 2009. During 2009 and 2012, he was a Ray and Stephanie Lane Fellow at the School of Computer Science at Carnegie Mellon University. Since 2012, he joined the SFB group as a Research Scientist. Research Interests ​Hiroyuki's area of research is broadly in computational systems and synthetic biology. His main research focus is on the theoretical understanding of how various uncertainties contribute to the relation between

Daniel Wilson-Nunn

Daniel Wilson-Nunn was a Visiting B.S. Student in the CTL. Selected Publications D. G. Wilson-Nunn, H. Zenil, “On the Complexity and Behaviour of Cryptocurrencies Compared to Other Markets” November 2014 arXiv preprint arXiv:1411.1924 Education BSc MMathStat in Mathematics and Statistics (integrated Masters), University of Warwick, UK (October 2012 – Present). Scientific and Professional Memberships Student Member of SIAM Awards Finalist for KAUST WEP 2015 International Undergraduate Poster Competition (January 2015) Selected to present research at British Conference of Undergraduate Research