Harun Gokce | Mechanical | Best Mechanical Engineering Award

Assoc. Prof. Dr. Harun Gokce | Mechanical
| Best Mechanical Engineering Award

Gazi University | Turkey

Assoc. Prof. Dr. Harun Gokce Research activities focus on advanced structural and mechanical system design, optimization, and virtual manufacturing, integrating computer-aided engineering, experimental mechanics, and intelligent simulation techniques. Work emphasizes the development of 3D simulation environments for CNC machine tools, virtual machining, and automated process optimization to improve manufacturing accuracy, efficiency, and cost performance. Significant contributions have been made to additive manufacturing, including the design of bio-inspired microstructures and bone scaffolds, enabling improved biomechanical performance in tissue engineering applications. Research also addresses multi-objective optimization of mechanical components such as gearboxes, spur gears, hydrostatic thrust bearings, and diffusers through advanced algorithms including Taguchi methods and grey wolf optimization. Additional studies involve the numerical and experimental investigation of cutting forces, thermal behavior, and tool geometries in high-precision machining processes, contributing to enhanced surface quality and tool life. Expertise in CAD/CAE platforms supports integrated modeling, analysis, and validation of complex assemblies for aerospace, automotive, and defense applications, including guided systems, aerodynamic components, and structural platforms. By combining simulation, reverse engineering, rapid prototyping, and optimization methodologies, this body of work advances smart manufacturing, lightweight design, and digitally driven engineering solutions for high-performance and mission-critical systems.

 Profile: Google Scholar

Featured Publications

Top, N., Şahin, İ., & Gökçe, H. (2021). Computer-aided design and additive manufacturing of bone scaffolds for tissue engineering: State of the art. Journal of Materials Research, 36(1), 3725–3745.

Dörterler, M., Şahin, İ., & Gökçe, H. (2018). A grey wolf optimizer approach for optimal weight design problem of the spur gear. Engineering Optimization, 51(1), 1–15.

Yavuz, M., Gökçe, H., Çiftci, I., Yavaş, C., & Şeker, U. (2020). Investigation of the effects of drill geometry on drilling performance and hole quality. International Journal of Advanced Manufacturing Technology, 106(1), 4623–4633.

Top, N., Şahin, İ., & Gökçe, H. (2023). The mechanical properties of functionally graded lattice structures derived using computer-aided design for additive manufacturing. Applied Sciences, 13(21), 1–21

Aytac Aydın | Data Science | Best Researcher Award

Assoc. Prof. Dr. Aytac Aydın | Data Science
| Best Researcher Award

Karadeniz Technical University | Turkey

Assoc. Prof. Dr. Aytac Aydın Research contributions focus on advancing quality management and performance appraisal within the forest products and wood-based materials industry through the systematic application of statistical analysis and artificial intelligence techniques. The work integrates process optimization, quality control modeling, and ergonomics to enhance productivity, material efficiency, and workplace safety across manufacturing environments. Multiple completed and ongoing research projects have addressed critical challenges in the evaluation of production performance, defect reduction, operational efficiency, and sustainable resource utilization. Innovative methodologies, including multi-criteria decision-making models, predictive analytics, and machine learning algorithms, have been applied to improve decision accuracy in material selection, process planning, and quality inspection. Published studies in SCI-indexed journals contribute valuable data-driven insights to both academia and industry, strengthening standards in forest industrial engineering and promoting evidence-based operational strategies. Research outcomes support environmentally responsible production while increasing economic efficiency in wood-based manufacturing systems. In addition, contributions extend to guiding postgraduate and doctoral-level research focused on quality systems, process improvement, and industrial performance metrics. These efforts collectively strengthen the scientific foundation of forest industry management, drive technological advancement, and support sustainable and intelligent manufacturing practices with a long-term impact on both regional and international forestry-based production sectors.

 Profile: Orcid | Scopus 

Featured Publications

Aydın, A., Temel, B. A., Semercioğlu, İ. N., Başağa, H. B., Toğan, V., & Ağcakoca, E. (2025). Evaluating performance appraisal effects on employee motivation and productivity: Insights from the Turkish construction industry via covariance-based structural equation modeling. Buildings. https://doi.org/10.3390/buildings15224040

Tiryaki, S., Aydın, A., & Ondaral, S. (2025). Process monitoring with individual measurements: A case study in corrugated cardboard industry. Artvin Çoruh Üniversitesi Orman Fakültesi Dergisi. https://doi.org/10.17474/artvinofd.1722824

Tiryaki, S., & Aydın, A. (2024). Orta yoğunlukta liflevha üretiminde çekme direncinin iki aşamalı izlenmesi. Düzce Üniversitesi Orman Fakültesi Ormancılık Dergisi. https://doi.org/10.58816/duzceod.1563540

Aydın, A., & Nemli, G. (2023). Yonga levha endüstrisinde zımparalama sorunlarının ve çözüm önerilerinin belirlenmesine yönelik bir çalışma. Düzce Üniversitesi Orman Fakültesi Ormancılık Dergisi. https://doi.org/10.58816/duzceod.1394936