PhD
Seyed Ahmad Hosseini
no.:
57501 
researcher – active in research organisation
E-mail
ahmad.hosseini
ung.si
| Code |
Science |
Field |
Subfield |
| 1.07.02 |
Natural sciences and mathematics |
Computer intensive methods and applications |
Optimisations |
| 1.01.06 |
Natural sciences and mathematics |
Mathematics |
Probability and statistics |
| Code |
Science |
Field |
| P001 |
Natural sciences and mathematics |
Mathematics |
| T003 |
Technological sciences |
Transport technology |
| P160 |
Natural sciences and mathematics |
Statistics, operations research, programming, actuarial mathematics |
| B430 |
Biomedical sciences |
Sylviculture, forestry, forestry technology |
| P170 |
Natural sciences and mathematics |
Computer science, numerical analysis, systems, control |
Operations Research (OR) and Applications, Computational Optimization, Data Science, Data Analytics, Data Mining, Statistics, Uncertainty Theory, Forestry Engineering, Supply Chains, Logistics, Transportation
Data for the last 5 years (citations for the last 10 years) on
April 15, 2024;
A3 for period
2018-2022
(update for tender in 2023:
NO)
| Database |
Linked records |
Citations |
Pure citations |
Average pure citations |
| WoS |
17 |
78 |
50 |
2.94 |
| Scopus |
19 |
109 |
81 |
4.26 |
Doctoral dissertations and other final papers
Show
ARIS research and infrastructure programmes
Legend
Ahmad H., Ph.D. Theoretical and Applied Operational Research (OR)
Industrial Engineering || Mathematical Optimization || Data Analytics
Dr. Hosseini is primarily interested in interdisciplinary research at the intersection of Industrial Engineering, Operational Research (OR), Computer Science, and Mathematical Optimization, with a focus on theory, design, and implementation. Specifically, he possesses a strong inclination towards the modeling and applications of Combinatorial and Industrial Optimization Problems. His expertise lies in formulating complex problems across diverse domains, enabling effective problem-solving through mathematical programming techniques. In the realm of research, he predominantly focuses on leveraging optimization techniques and network optimization algorithms, and a fusion of heuristics/metaheuristics with exact/approximation/stochastic optimization methodologies to tackle intricate challenges and provide effective solutions that bridge theoretical concepts with practical applications.
With a foundation in Engineering, Optimization, and Mathematics, coupled with extensive international work experiences, he has actively participated in numerous research projects and collaborated with various international top-tier scientists in a wide array of application domains. His contributions have been impactful in critical areas such as Transportation, Supply Chains, System Engineering, Forestry Planning and Engineering, Logistics, Electrical Engineering, Viticulture and enology, Linguistics, and Biology.
Furthermore, with a keen focus on Data Science and 10+ experience in Data Analysis, he also excels in extracting meaningful insights from data across various scientific fields and industries. His proficiency in utilizing advanced Statistical Methods and Data Analytics tools contributes to a comprehensive understanding of phenomena, supporting evidence-based decision-making in both scientific research and industrial applications. Apart from academia, he has also taken different roles in the business world and acted as an operations manager, logistics manager, data analyst, and supply chain consultant at different companies.
We were not given permission by the researcher to publish data.
