معرفی
Hakan AYDOĞAN is an Assistant Professor in the Department of Forest Industry Engineering at the Faculty of Forestry, Kastamonu University, Turkey, where he also serves as Institute Deputy Director since 2023. Previously, he worked as a Research Assistant at the same institution from 2015-2022.
His educational background includes:
- PhD in Quantitative Methods from Marmara University (2017-2022)
- Master's Degree in Business Administration from Brunel University, England (2013-2014)
- BSc in Forest Industry Engineering from Bartın Faculty of Forestry, Bülent Ecevit University (2005-2009)
Dr. Aydoğan's research focuses on Forest Industry Management, with particular emphasis on optimization techniques, statistical quality control, and time series analysis in the wood products industry. His interdisciplinary work bridges forestry engineering with business administration, applying quantitative methods to solve industry challenges. His publication record demonstrates strong expertise in predictive modeling, particularly using artificial neural networks and regression methods for industrial applications.
His scholarly impact is reflected in citation metrics: 54 citations and h-index of 4 in Google Scholar. His research spans wood product manufacturing, economic growth analysis, heat transfer prediction, and statistical quality control methods, with a recent shift toward renewable energy applications in forestry.
Scientific recognition:
- YLSY Scholarship (1416 Law) from Ministry of National Education (2010)
- Faculty and Department First Place Plaket from Bartin University (2009)
Dr. Aydoğan has successfully led multiple research projects including TÜBİTAK-funded initiatives on data analysis methods in forestry (2023) and thesis proposal training for graduate students (2024). He has established a robust research network with 16 collaborators, most frequently working with Osman Emre Özkan, Mustafa Öncel, and Hasan Vurdu.
His teaching portfolio includes graduate courses in Optimization Techniques, Statistical Quality Control, and Advanced Statistics in Forest Industry, alongside undergraduate courses in Production Planning, Operations Research, and Investment Planning.
