doc. dr. Seyed Ahmad Hosseini

58 Dvorec Lanthieri Vipava
05 6205 830
By appointment
Course principal:
  • Statistics, 2. year
    Bachelor's degree programme Engineering and Management (first cycle)
  • 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)

Asst. Prof. Dr. Hosseini

Theoretical and Applied Operational Research (OR)
Industrial Engineering || Mathematical Optimization || Data Analytics

  • 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, System Engineering, Forestry Planning, Logistics, Electrical Engineering, Viticulture and Enology, Linguistics, and Biology. Reported by Scopus, over 75% of these contributions have been published in the top 25% journals by SJR, consistently ranking within the top Q1 category.

  • Specifically, his expertise encompasses modeling and application of Combinatorial and Industrial Optimization Problems, as well as professional Data Analysis. 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 complex 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. In addition to his academic pursuits, he has assumed diverse roles within the business world, serving as operations manager, logistics manager, data analyst, and supply chain consultant, providing opportunities for him to actively interact with the industry.

  • Keywords: Operations Research (OR) · Industrial Engineering · Mathematical Programming · Combinatorial Optimization · Robust Optimization · Discrete Optimization · Optimization Algorithms · Network Flow Algorithms Heuristics · Transportation · Uncertainty · Statistics · Decision Analysis · Machine Learning Algorithms · Data Science · Data Analysis · IBM SPSS Statistics · Minitab · R (Programming Language) · XLSTAT · SIMCA · Weka · Microsoft Power BI · GraphPad Prism · JMP Pro · Tableau · Origin Pro · Gephi · PanelCheck · GAMS