Gokhan Basar | Mechanical Engineering | Best Researcher Award

Dr. Gokhan Basar | Mechanical Engineering | Best Researcher Award

Research Assistant at Industrial Engineering, Turkey

Dr. Gokhan Basar is a dedicated researcher and assistant professor in the Department of Industrial Engineering at Osmaniye Korkut Ata University, Turkey. Born on January 1, 1989, in Tarsus, Turkey, he has developed a strong academic and professional foundation in mechanical engineering. Dr. Basar holds a PhD in Mechanical Engineering, specializing in the production of reinforced aluminum matrix composites. He has contributed significantly to the field through his research on friction stir welding and optimization techniques, establishing himself as an expert in machinability and mechanical properties of materials. His commitment to advancing engineering knowledge is evident in his numerous publications and active participation in national and international conferences.

Profile:

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Strengths for the Award:

  1. Diverse Research Areas: Dr. Basar has an extensive range of research interests including Friction Stir Welding, machinability of materials, and optimization techniques. This diversity reflects a strong capability to contribute to various fields within engineering.
  2. Academic Qualifications: With a PhD in Mechanical Engineering and multiple relevant master’s and bachelor’s degrees, Dr. Basar possesses a solid educational foundation that underpins his research.
  3. Significant Contributions: His published works, including book chapters and numerous journal articles, indicate active engagement in research. The citation metrics (42 citations and an H-index of 4) highlight that his work is recognized and valued by the academic community.
  4. Research Methodology Expertise: Dr. Basar’s proficiency in experimental design and optimization methods, particularly the Taguchi Method and Grey Relational Analysis, showcases his ability to apply advanced statistical techniques to real-world engineering problems.
  5. Active Conference Participation: Regular attendance at national and international conferences demonstrates a commitment to staying updated with the latest developments in his field and sharing his findings with the broader scientific community.
  6. Journal Refereeing: Serving as a referee for multiple reputable journals illustrates his involvement in the academic process and recognition by peers.

Areas for Improvement:

  1. Increased Collaboration: While Dr. Basar has a solid publication record, collaboration with researchers from diverse fields could enhance the breadth and impact of his research.
  2. Enhancing Citation Impact: Although his citation metrics are commendable, focusing on publishing in high-impact journals could further increase his visibility and citation rate.
  3. Broader Public Engagement: Engaging with industry stakeholders and public forums could help translate his research findings into practical applications, increasing societal impact.
  4. Exploration of Emerging Technologies: Staying abreast of emerging technologies in materials science and mechanical engineering could provide new avenues for research and innovation.

Education:

Dr. Gokhan Basar’s educational journey began with a Bachelor’s degree in Mechanical Engineering, which laid the groundwork for his advanced studies. He earned his MSc in Mechanical Engineering from Iskenderun Technical University (2013-2016), where he focused on optimizing welding parameters in friction stir welding. His research culminated in a thesis that highlighted his proficiency in practical applications of engineering principles. Dr. Basar continued his academic pursuit at Osmaniye Korkut Ata University, where he completed his PhD in Mechanical Engineering (2017-2023). His doctoral research investigated the production of SiC and B4C particle-reinforced aluminum matrix composites through powder metallurgy, further showcasing his ability to innovate in materials engineering. Throughout his academic career, Dr. Basar has demonstrated a strong commitment to educational excellence and research development.

Experience:

Dr. Gokhan Basar has amassed extensive experience in academia, starting his career as a Research Assistant in the Department of Mechanical Engineering at Iskenderun Technical University from 2013 to 2016. His responsibilities included conducting research, assisting in teaching, and engaging in various engineering projects. In 2016, he transitioned to Osmaniye Korkut Ata University, where he currently serves as a Research Assistant in the Department of Industrial Engineering. In this role, Dr. Basar has focused on advancing knowledge in the fields of friction stir welding, materials machinability, and optimization methods. He has participated in numerous conferences, enhancing his professional network and contributing to the scientific community. His dedication to research and education has positioned him as a prominent figure in mechanical engineering, with a strong emphasis on innovative practices and experimental design.

Research Focus:

Dr. Gokhan Basar’s research focuses primarily on advanced welding techniques, particularly Friction Stir Welding (FSW), and the machinability and mechanical properties of materials. His expertise extends to optimization methods, including the Taguchi Method, Response Surface Methodology, and Grey Relational Analysis, enabling him to develop effective strategies for improving material performance and process efficiency. He is particularly interested in the production of composite materials, investigating the use of SiC and B4C particles in aluminum matrices to enhance their mechanical properties. His research also includes the design of experiments and multi-response optimization, providing insights into surface quality and operational parameters in various manufacturing processes. Dr. Basar’s commitment to innovation in mechanical engineering drives his work to address contemporary challenges and contribute to the evolution of engineering practices.

Publications Top Notes:

  1. Optimization of machining parameters in face milling using multi-objective Taguchi technique 📄
  2. Modeling and optimization of face milling process parameters for AISI 4140 steel 📄
  3. Determination of the optimum welding parameters for ultimate tensile strength and hardness in friction stir welding of Cu/Al plates using Taguchi method 📄
  4. Optimization of cutting parameters in hole machining process by using multi-objective Taguchi approach 📄
  5. Modeling and optimization for fly ash reinforced bronze-based composite materials using multi-objective Taguchi technique and regression analysis 📄
  6. Multi-response optimization in drilling of MWCNTs reinforced GFRP using grey relational analysis 📄
  7. Delik İşleme Prosesinde Kesme Parametrelerin Taguchi Metodu ve Regresyon Analiz Kullanılarak Modellenmesi ve Optimizasyonu 📄
  8. Kolemanit ve Boraks Takviyeli Fren Balatalarının Sürtünme Performansı 📄
  9. Sıcak presleme yöntemi ile üretilmiş uçucu kül takviyeli bronz matrisli fren balata malzemelerinin sürtünme-aşınma özellikleri üzerine kolemanit miktarının etkisi 📄
  10. Mathematical Modeling and Optimization of Milling Parameters in AA 5083 Aluminum Alloy 📄
  11. 316L Paslanmaz Çeliklerin Frezeleme işlemindeki Yüzey Pürüzlülüğün ANFIS ile Modellenmesi 📄
  12. Bronz Esaslı Kompozit Sürtünme Malzemelerin Üç Nokta Eğme Mukavemetinin Taguchi Metodu ile Optimizasyonu 📄
  13. Statistical Investigation of the Effect of CO2 Laser Cutting Parameters on Kerf Width and Heat Affected Zone in Thermoplastic Materials 📄
  14. A new hybrid meta-heuristic optimization method for predicting UTS for FSW of Al/Cu dissimilar materials 📄
  15. Prediction of surface hardness in a burnishing process using Taguchi method, fuzzy logic model and regression analysis 📄
  16. Multi-objective optimization of cutting parameters for polyethylene thermoplastic material by integrating data envelopment analysis and SWARA-based CoCoSo approach 📄
  17. Kompozit Malzemelerin Delme İşleminde İtme Kuvvetinin Taguchi Metodu ile Optimizasyonu ve Regresyon Analizi ile Tahmini 📄
  18. Tepki yüzeyi metodolojisi kullanılarak nanokompozitin delinmesinde oluşan itme kuvvetinin modellenmesi ve analizi 📄
  19. Analysis and Optimization of Ball Burnishing Process Parameters of AA 7075 Aluminium Alloy with Taguchi Method 📄
  20. The Effect of Colemanite and Borax Reinforced to the Friction Performance of Automotive Brake Linings 📄

Conclusion:

Dr. Gokhan Basar exemplifies the qualities of a strong candidate for the Research for Best Researcher Award. His extensive research experience, educational background, and contributions to the field of engineering position him as a noteworthy researcher. By focusing on collaboration, increasing his publication impact, and engaging with the broader community, he could further enhance his profile as a leading researcher. His commitment to advancing knowledge in his areas of expertise makes him a deserving candidate for this prestigious award.

Sihao Han | Mechanical Engineering Award | Best Researcher Award

Dr Sihao Han | Mechanical Engineering Award | Best Researcher Award

Dr Sihao Han , South China University of Technology , China

Publication profile 

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Education and Experience

Sihao Han is currently pursuing his PhD in Mechanics at South China University of Technology, building upon his Bachelor’s degree in Mechanical Engineering from Southwest Jiaotong University. His academic journey is marked by a commitment to excellence and a passion for pushing the boundaries of knowledge in his field.

Academic Achievements 

Sihao’s research is centered on solid mechanics, with a keen focus on understanding the wave characteristics and impact behavior of acoustic/mechanical metamaterials. Additionally, he is dedicated to advancing the development of multifunctional metamaterials. His goal is to leverage the power of artificial intelligence to revolutionize the application of metamaterials in demanding engineering contexts.

 

Research Focus

Sihao Han’s research centers on the innovative field of metamaterials, with a particular emphasis on their applications in energy absorption, vibration insulation, and wave propagation. His work involves the design and optimization of re-entrant honeycomb metamaterials and phononic crystals, leveraging advanced techniques like deep learning and reinforcement learning. Sihao’s studies aim to enhance the performance of these materials in demanding engineering applications, contributing to areas such as impact mitigation and load-bearing capacity. Through his interdisciplinary approach, Sihao bridges mechanical engineering with artificial intelligence to push the boundaries of materials science. 🚀🛠️

Publication Top Notes
  1. 📚 “Hierarchical re-entrant honeycomb metamaterial for energy absorption and vibration insulation” – N Ma, Q Han, S Han, C Li, International Journal of Mechanical Sciences 250, 108307, 2023 (47 citations)
  2. 📚 “Design and reinforcement-learning optimization of re-entrant cellular metamaterials” – S Han, Q Han, N Ma, C Li, Thin-Walled Structures 191, 111071, 2023 (10 citations)
  3. 🧠 “Deep-learning-based inverse design of phononic crystals for anticipated wave attenuation” – S Han, Q Han, C Li, Journal of Applied Physics 132 (15), 2022 (9 citations)
  4. 🧠 “Inverse design of phononic crystals for anticipated wave propagation by integrating deep learning and semi-analytical approach” – S Han, Q Han, T Jiang, C Li, Acta Mechanica 234 (10), 4879-4897, 2023 (8 citations)
  5. 🔄 “Complex dispersion relations and evanescent waves in periodic magneto-electro curved phononic crystal plates” – S Han, Q Han, T Jiang, C Li, Applied Mathematical Modelling 119, 373-390, 2023 (3 citations)
  6. 📐 “Design and optimization of the dual-functional lattice-origami metamaterials” – T Jiang, S Han, Q Han, C Li, Composite Structures 327, 117670, 2024 (2 citations)
  7. ⚡ “Parametric electro-mechanical dispersive behaviors of guided waves in the functionally graded piezoelectric annular plate” – C Li, D Xiao, S Han, Q Han, ZAMM-Journal of Applied Mathematics and Mechanics/Zeitschrift für Angewandte, 2023 (1 citation)
  8. 🛠️ “Machine learning-based optimal design of an acoustic black hole metaplate for enhanced bandgap and load-bearing capacity” – S Han, N Ma, Q Han, C Li, Mechanical Systems and Signal Processing 215, 111436, 2024
  9. 📏 “Compressive response and optimization design of a novel hierarchical re-entrant origami honeycomb metastructure” – N Ma, S Han, W Xu, Q Han, C Li, Engineering Structures 306, 117819, 2024
  10. 📏 “Design and compressive behaviors of the gradient re-entrant origami honeycomb metamaterials” – N Ma, S Han, Q Han, C Li, Thin-Walled Structures 198, 111652, 2024
  11. 🔧 “A novel multi-resonator honeycomb metamaterial with enhanced impact mitigation” – H Zheng, S Han, S Li, Q Han, C Li, European Journal of Mechanics-A/Solids, 105272, 2024