Modelling Stochastic Uncertainties: From Monte Carlo Simulations to Game Theory

Author:   Mohammed Elmusrati
Publisher:   De Gruyter
ISBN:  

9783111584706


Pages:   332
Publication Date:   18 November 2024
Format:   Paperback
Availability:   Not yet available   Availability explained
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Modelling Stochastic Uncertainties: From Monte Carlo Simulations to Game Theory


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Author:   Mohammed Elmusrati
Publisher:   De Gruyter
Imprint:   De Gruyter
ISBN:  

9783111584706


ISBN 10:   3111584704
Pages:   332
Publication Date:   18 November 2024
Audience:   College/higher education ,  Tertiary & Higher Education
Format:   Paperback
Publisher's Status:   Forthcoming
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

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Dr. Mohammed S. Elmusrati, Senior Member of IEEE, began his academic journey at the University of Benghazi, Libya, where he earned his B.Sc. degree with Honors in 1991 and his M.Sc. degree with High Honors in 1995. He continued his pursuit of excellence at Aalto University in Finland, obtaining a Licentiate of Science in Technology with Distinction in 2002 and a Doctor of Science in Technology (D.Sc.) in Automation and Control Engineering in 2004. Currently, Dr. Elmusrati is a Full Professor of Communication, Automation, and Smart Systems at the School of Technology and Innovations, University of Vaasa, Finland. Dr. Elmusrati has made significant contributions to international academic programs, including the development of Communication and Systems Engineering, Wireless Automation, and Industrial Digitalization programs. He also heads the international program for Sustainable and Autonomous Systems (SAS). His research interests are diverse, covering wireless communications, artificial intelligence, machine learning, biotechnology, data analysis, stochastic systems, smart grids, and game theory. With an extensive publication record, Dr. Elmusrati has authored over 180 papers, books, and book chapters. He has supervised more than 120 master's theses and 12 Ph.D. students. His innovative contributions were recognized when he was awarded the Inventor of the Year 2024 at the University of Vaasa.

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