Fausto Pedro García Márquez

University of Castile-La Mancha

Fausto works at UCLM as Full Professor (Accredited as Full Professor from 2013), Spain, Honorary Senior Research Fellow at Birmingham University, UK, Lecturer at the Postgraduate European Institute, and he has been Senior Manager in Accenture (2013-2014). He obtained his European PhD with a maximum distinction. He has been distinguished with the prices: Runner Prize for Management Science and Engineering Management Nominated Prize (2020), and Advancement Prize (2018), First International Business Ideas Competition 2017 Award (2017); Runner (2015), Advancement (2013) and Silver (2012) by the International Society of Management Science and Engineering Management (ICMSEM); Best Paper Award in the international journal of Renewable Energy (Impact Factor 3.5) (2015). He has published more than 150 papers (65 % ISI, 30% JCR and 92% internationals), some recognized as: 'Applied Energy” (Q1, as 'Best Paper 2020”), 'Renewable Energy” (Q1, as 'Best Paper 2014”); 'ICMSEM” (as 'excellent”), 'Int. J. of Automation and Computing” and 'IMechE Part F: J. of Rail and Rapid Transit” (most downloaded), etc. He is author and editor of 31 books (Elsevier, Springer, Pearson, Mc-GrawHill, Intech, IGI, Marcombo, AlfaOmega,…), and 5 patents. He is Editor of 5 Int. Journals, Committee Member more than 40 Int. Conferences. He has been Principal Investigator in 4 European Projects, 6 National Projects, and more than 150 projects for Universities, Companies, etc. His main interests are: Artificial Intelligence, Maintenance, Management, Renewable Energy, Transport, Advanced Analytics, Data Science. He is being expert in the European Union in AI4People (EISMD), and ESF. He is Director of Ingenium Research Group

10books edited

10chapters authored

Latest work with IntechOpen by Fausto Pedro García Márquez

Application of Decision Science in Business and Management is a book where each chapter has been contributed by a different author(s). The chapters introduce and demonstrate a decision-making theory to practice case studies. It demonstrates key results for each sector with diverse real-world case studies. Theory is accompanied by relevant analysis techniques, with a progressive approach building from simple theory to complex and dynamic decisions with multiple data points, including big data, lot of data, etc. Computational techniques, dynamic analysis, probabilistic methods, and mathematical optimization techniques are expertly blended to support analysis of multi-criteria decision-making problems with defined constraints and requirements. The book provides an interface between the main disciplines of engineering/technology and the organizational, administrative, and planning abilities of decision making. It is complementary to other sub-disciplines such as economics, finance, marketing, decision and risk analysis, etc.

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