Jose Antonio Marmolejo Saucedo

Jose Antonio Marmolejo SaucedoDr. Jose Antonio Marmolejo Saucedo is a Professor at Panamerican University, Mexico. His research is on large-scale optimization techniques, computational techniques, analytical methods for planning, operations, and control of electric energy and logstic systems, sustainable supply chain design, and digital twins in supply chains. He received his PhD in Operations Research (Hons) at National Autonomous University of Mexico. He is a member of the Network for Decision Support and Intelligent Optimization of Complex and Large Scale Systems, Mexican Society for Operations Research and System Dynamics Society. He is the author/editor of Computational Intelligence for Covid-19 and Future Pandemics, Springer; Modeling, Simulation, and Optimization, Springer; Data Analysis and Optimization for Engineering and Computing Problems, Springer; Artificial Intelligence for Renewable Energy and Climate Change, Wiley; Intelligent Computing and Optimization, Springer; and Innovative Computing Trends and Applications, Springer; among others. Read More Read Less

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Explainable Artificial Intelligence (XAI) in Healthcare48 %
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Computational Modeling Applications for Climate Crisis45 %
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Best Practices in Green Supply Chain Management41 %
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Computational Intelligence for COVID-19 and Future Pandemics37 %
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Data Analysis and Optimization for Engineering and Computing Problems37 %
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Computational Intelligence for COVID-19 and Future Pandemics37 %
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Data Analysis and Optimization for Engineering and Computing Problems37 %
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Best Practices in Green Supply Chain Management49 %
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Human Agro-Energy Optimization for Business and Industry3 % NR
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Human Agro-Energy Optimization for Business and Industry3 % NR
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8th EAI International Conference on Computer Science and Engineering in Health Services3 % NR
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Computer Science and Engineering in Health ServicesNR
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Computer Science and Health Engineering in Health ServicesNR
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