doc. dr. Seyed Ahmad Hosseini
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Experimental design and analysis, 1. year
Master’s study programme Viticulture and Enology -
Statistics, 2. year
Bachelor's degree programme Engineering and Management (first cycle)
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Experimental design and analysis, 1. year
Master’s study programme Viticulture and Enology -
Project 1, 1. year
Master's degree programme Engineering and Management (second cycle) -
Statistics, 2. year
Bachelor's degree programme Engineering and Management (first cycle)
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Decision support models and systems, 1. year
Master's degree programme Engineering and Management (second cycle) -
Decision support models and systems, 2. year
Master's degree programme Engineering and Management (second cycle) -
Experimental design and analysis, 1. year
Master’s study programme Viticulture and Enology -
Digital resource & document management, 1. year
Bachelor's degree programme Engineering and Management (first cycle) -
Introduction to Computer and Information Science, 1. year
Bachelor's programme in Viticulture and Enology (first cycle) -
Business information systems, 2. year
Bachelor's degree programme Engineering and Management (first cycle) -
Individual research project 2, 2. year
Master's degree programme Engineering and Management (second cycle)
Doc. Dr. A. Hosseini
Operational Research (OR) || Data Analysis || Machine Learning
Industrial Engineering || Mathematical Optimization || Biostatistics
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Dr. Hosseini is primarily interested in interdisciplinary research at the intersection of Operational Research (OR), Industrial Engineering, Mathematical Optimization, Computer Science, and Data Analytics, with a focus on theoretical foundations, design methodologies, and practical implementation. With a foundation in Engineering and Mathematics, coupled with extensive international work experiences, he has actively participated in numerous interdisciplinary projects and collaborated with various international top-tier scientists in a wide array of application domains. His contributions have been impactful in areas such as Transportation, Supply Chains, Logistics, System Engineering, Forestry Planning, Electrical Engineering, Viticulture and Enology, Linguistics, and Biology.
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Specifically, his expertise encompasses modeling and application of Combinatorial and Industrial Optimization Problems. His research predominantly relies on effectively leveraging mathematical programming techniques and network optimization algorithms, and a fusion of heuristics/metaheuristics with exact/approximation/stochastic optimization methodologies to formulate problems across diverse domains and tackle intricate challenges, ultimately bridging theoretical concepts with practical applications. Furthermore, with a keen focus on Data Science and 10+ experience in Data Analysis, he also excels in extracting meaningful insights from data across scientific fields and industries. His proficiency in utilizing Statistical Methods, Machine Learning Algorithms, and Data Analytics tools and his experience in combining theory and practice of statistics contributes to a comprehensive understanding of phenomena, supporting evidence-based decision-making in both scientific research and industrial applications.
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Keywords: Operations Research (OR) · Industrial Engineering · Mathematical Programming · Combinatorial Optimization · Network Flows · Optimization Algorithms · Robust Optimization · Transportation Networks · Heuristics · Biostatistics · Applied Statistics · Machine Learning · Data Mining · Data Analysis · Uncertainty · Decision Analysis · Decision Support Systems · HTML · Weka · Minitab · Matlab · Linear Program Solver (LiPS IDE) · IBM SPSS Statistics · Power BI · R (Programming Language) · SIMCA · XLSTAT · GraphPad Prism · Gephi · Tableau · JMP Pro · Origin Pro ·PanelCheck · MetaboAnalyst · GAMS · OPL · AIMMS · SQL · DEXi · Web-HIPRE