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:

Google Scholar

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.

Ahmed Deabs | Mechanical Engineering | Best Researcher Award

Assoc Prof Dr. Ahmed Deabs | Mechanical Engineering | Best Researcher Award

Production Engineering and Mechanical Design, Faculty of Engineering, Shebin Elkom, Menoufia University, Egypt

Ahmed Deabs is a dedicated academic and mechanical engineer with a strong background in production engineering and mechanical design. Currently, he serves as a Lecturer at the Faculty of Engineering, Menofia University, and an Adjunct Lecturer at Delta Technological University, Egypt. Ahmed’s expertise spans across CAD, FEM, machine design, and vibration signal processing, making him a versatile educator and researcher in the field.

Publication Profile

 

Strengths for the Award:

  1. Academic and Teaching Excellence: Ahmed Deabs has a strong academic background with significant teaching experience in various engineering disciplines. His ability to teach over 20 different courses, ranging from “Machine Tool Design” to “Engineering Mechanics,” highlights his versatility and expertise in Production Engineering and Mechanical Design.
  2. Research Contributions: He has several publications in reputable journals and conferences, showcasing his research in areas like CAD, FEM, and parallel robots. His work on topics like “Computer Aided Design of Multi-Stage Gearboxes” and “Optimizing Vertical Pump Reliability” demonstrates his commitment to advancing engineering knowledge.
  3. Industrial and Practical Experience: Ahmed’s involvement in industrial projects, including the design and supervision of mechanical systems like renewable electricity generation systems and industrial production lines, underscores his practical skills and ability to apply research in real-world scenarios.
  4. Technological Proficiency: His proficiency in various engineering and computer tools like SOLIDWORKS, AUTOCAD, MATLAB, and his certifications (e.g., CSWP, CSWA) further bolster his technical capabilities, making him a well-rounded candidate for the award.
  5. Community and Educational Outreach: Ahmed’s initiative in creating and managing free educational resources, including YouTube channels and forums, reflects his dedication to sharing knowledge and supporting the engineering community.

Areas for Improvement:

  1. Research Impact: While Ahmed has a solid number of publications, there could be a focus on increasing the impact and citation of his research. Engaging in more collaborative research projects and targeting high-impact journals could further elevate his academic profile.
  2. International Exposure: Expanding his research collaborations and academic presence internationally could enhance his recognition. Participation in more global conferences and partnerships with international researchers would be beneficial.
  3. Grant Acquisition: Increasing his involvement in competitive research projects and securing grants would demonstrate his capability to lead large-scale research initiatives, further supporting his candidacy for the award.

 

🎓 Education

Ahmed Deabs holds a solid academic foundation in engineering, beginning as a Demonstrator in the Production Engineering and Mechanical Design Department at Menofia University in 2012. He advanced to Assistant Lecturer in 2016 and became a Lecturer in 2022. He also began serving as an Adjunct Lecturer at Delta Technological University in 2023, broadening his teaching experience.

🛠️ Experience

Ahmed has an extensive teaching portfolio, having taught over 20 different courses across various engineering disciplines. His experience includes supervising laboratories, contributing to accreditation projects, and participating in continuous improvement initiatives at Menofia University. His industrial work includes freelance mechanical design and supervising machine fabrication processes for Egyptian and Arabic companies.

🔍 Research Focus

Ahmed’s research interests are diverse, including Computer-Aided Design (CAD), Finite Element Method (FEM), machine design, and parallel robots. He also explores advanced topics like artificial neural networks, deep learning, and vibration signal processing, contributing to the evolution of mechanical engineering.

🏆 Awards and Honors

Ahmed has been recognized for his contributions to engineering education and research, particularly through his involvement in continuous improvement projects and his role in updating laboratory instruments at Menofia University. He also holds several certifications, including SOLIDWORKS and AUTOCAD, reflecting his commitment to professional development.

📄 Publications

“Computer Aided Design of Multi-Stage Gearboxes”International Journal of Advanced Engineering and Global Technology (IJAEGT), Vol. 2, Issue 12, 2014. Cited by 11 articles Link to Publication

“Structural Modifications of 1K62 Engine Lathe Gearbox Casing”International Journal of Advanced Engineering and Global Technology (IJAEGT), Vol. 3, Issue 2, 2015. Cited by 9 articles Link to Publication

“Parallel Robot – Review Article”Journal of Engineering Science and Technology Review, 2021. Cited by 6 articles Link to Publication

“Assessment of Parallel Robot Dynamic Characteristics Using Experimental Modal Analysis and Finite Elements”The First International Conference in Technological University Education and its Role in Industry, Energy and Environmental Conservation (ICCTU 2022), 2022. Cited by 3 articles Link to Publication

Optimizing Vertical Pump Reliability: Investigating Main Shaft Challenges through Integrated Design and Testing StrategiesWater Science, 2024. Cited by 5 articles Link to Publication

 

Conclusion:

Ahmed Deabs is a strong candidate for the Researcher Award, given his extensive academic, research, and industrial contributions. His commitment to education, both in the classroom and through online platforms, alongside his technical expertise, makes him a well-rounded and deserving nominee. Focusing on increasing the impact of his research and expanding his international collaborations could further strengthen his candidacy. Overall, his achievements and contributions make him a suitable contender for the award.