Gokhan Basar | Mechanical Engineering | Best Researcher Award

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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

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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 Strategies“ – Water 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.

 

 

 

Ralston Pinto | Mechanical Engineering Award | Best Innovation Award

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Mr Ralston Pinto | Mechanical Engineering Award | Best Innovation Award

Mr Ralston Pinto, Robert Bosch GmbH,  Germany

Ralston Pinto, born on October 31, 1994, in India, is a mechanical engineer specializing in modeling and simulation of Solid Oxide Fuel Cell (SOFC) contacts. Currently pursuing a PhD at RWTH Aachen University in collaboration with Robert Bosch GmbH and Forschungszentrum Jülich, he focuses on predicting contact mechanics in manufactured cells. Ralston’s expertise extends to finite element methods, material subroutines, and automation using Python and MATLAB. He has also worked on process influences on sensing elements during his master’s thesis at Bosch and has substantial experience in project management from his tenure at Hamon Group in India. Ralston is driven by the challenge of solving real-time engineering problems and values environments that foster innovative thinking and professional growth.

Publication Profile

Orcid 

Education

Ralston Pinto is currently pursuing his PhD in Mechanical Engineering at RWTH Aachen University, with a project focused on modeling and simulation of SOFC contacts in collaboration with Robert Bosch GmbH and Forschungszentrum Jülich. He holds a Master of Science in Mechanical Engineering from Rheinwaal University of Applied Sciences, where he studied process engineering, materials, and simulation, earning a final grade of 1.8. His master’s thesis focused on understanding process influences on crack failure modes in exhaust gas sensors. Ralston completed his Bachelor of Engineering in Mechanical Engineering from the University of Mumbai, specializing in structural mechanics, fluid mechanics, simulation and CAD, thermodynamics, and process engineering. His bachelor’s thesis involved designing and assembling a pedal-powered water purification vehicle to address water scarcity in rural India.

Experience 

Ralston Pinto is currently engaged in doctoral research at Robert Bosch GmbH in Bamberg, Germany, focusing on the modeling and simulation of SOFC contacts using finite element methods. His work involves investigating the pressures on Solid Oxide Cell contacts and developing material subroutines for anisotropic plasticity. Previously, he completed a master’s thesis at Bosch in Stuttgart, Germany, exploring crack failure modes in exhaust gas sensors. Ralston also interned at Bosch, working on developing protective coatings for sensor elements. His early career includes a position as an Assistant Project Engineer at Hamon Group in Mumbai, India, where he coordinated national-level power sector projects, managed resource allocation, and controlled production processes. His diverse experiences have equipped him with a unique understanding of both project management and hands-on engineering tasks.

Awards and Honors

Ralston Pinto has been recognized for his academic excellence and professional contributions. He received the Deutschland Stipendium from the Bundesministerium für Bildung und Forschung, awarded for his outstanding academic performance at Rheinwaal University of Applied Sciences. This prestigious scholarship is given to students who demonstrate exceptional academic achievements and social commitment. During his tenure at Bosch, Ralston was involved in significant research projects that led to the implementation of his findings in the field. His contributions to the modeling and simulation of SOFC contacts and process influences on sensor failure modes have been well-received in the scientific community. Ralston’s dedication to solving real-world engineering problems and his innovative approach to research have earned him accolades and recognition from both academic and professional circles.

Research Focus 

Ralston Pinto’s research primarily focuses on the modeling and simulation of Solid Oxide Fuel Cell (SOFC) contacts. His doctoral thesis at RWTH Aachen University, in collaboration with Robert Bosch GmbH and Forschungszentrum Jülich, aims to predict the contact mechanics of manufactured cells, incorporating non-ideal aspects like tolerance distributions and uneven profiles. Ralston employs finite element methods, homogenization techniques, and anisotropic plasticity subroutines in his simulations. He also integrates Python and MATLAB for automation and data generation, utilizing machine learning methods for optimization. His master’s research at Bosch involved understanding process influences on crack failure modes in exhaust gas sensors, where he developed experimental methods and analyzed empirical data. Ralston’s broad research interests include computational fluid dynamics (CFD), materials science, process engineering, and the development of innovative solutions for real-world engineering challenges.

Publication Top Notes

A constitutive model for homogenized solid oxide cell contacts with dimensional tolerances

Homogenization of fuel cell interconnects to determine the contacting configuration in a stack

Ruixi Zhang | Mechanical Engineering Award | Best Researcher Award

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Assist Prof Dr Ruixi Zhang | Mechanical Engineering Award | Best Researcher Award

Assist Prof Dr Ruixi Zhang, Nagoya University, Japan

Dr. Zhang Ruixi is an Assistant Professor in the Department of Micro-Nano Mechanical Science and Engineering at Nagoya University, Japan 🇯🇵. He earned his B.S. from Northeastern University, China 🇨🇳 in 2017, his M.S. from Nagoya University in 2020, and his Ph.D. from The University of Tokyo in 2023. His research focuses on carbon-based materials like Diamond-like Carbon (DLC) coatings and carbon nanotubes, exploring their tribological properties and structural characteristics 🧪. Dr. Zhang is a member of The Japan Society of Mechanical Engineers and the Japanese Society of Tribologists 🏅.

Publication Profile

Scopus

Education

Dr. Zhang Ruixi completed his B.S. in Mechanical Engineering and Automation at Northeastern University, Shenyang, China 🇨🇳, from September 2013 to July 2017. He then pursued his M.S. in the Department of Micro-Nano Mechanical Science and Engineering at Nagoya University, Japan 🇯🇵, from April 2018 to March 2020. Following this, he earned his Ph.D. in Bioengineering from The University of Tokyo, Japan 🇯🇵, from April 2020 to March 2023. Dr. Zhang’s academic journey reflects a strong commitment to advancing his expertise in engineering and nanotechnology 🧪.

Experience

Since April 2023, Dr. Zhang Ruixi has been serving as an Assistant Professor in the Department of Micro-Nano Mechanical Science and Engineering at Nagoya University, Japan 🇯🇵. In this role, he continues to contribute to advanced research in the fields of nanotechnology and engineering, focusing on the development and application of carbon-based materials 🧪. His position allows him to mentor students, lead cutting-edge projects, and collaborate with other experts in the field, fostering innovation and academic excellence 🌟.

Research Focus

Dr. Zhang Ruixi’s research primarily focuses on the development and characterization of carbon-based materials, particularly Diamond-like Carbon (DLC) coatings 🧪. His work investigates the tribological properties, such as friction and wear, of these materials under various conditions, including high temperatures. He also explores the synthesis and structural properties of one-dimensional hetero-nanotubes, such as boron nitride nanotubes. By employing advanced techniques like in situ reflectance spectroscopy, Dr. Zhang aims to enhance the performance and application of these materials in various engineering fields 🌟. His research contributes significantly to advancements in nanotechnology and materials science 🏅.

 

Publication Top Notes

Fabricating one-dimensional van der Waals heterostructures on chirality-sorted single-walled carbon nanotubes by Zhang, R. et al., Carbon, 2022, 199, pp. 407–414 📚 (Cited by 3)

In situ Observation of the Formation of MoDTC-Derived Tribofilm on a Bearing Steel with Different Surface Roughness by Using a Reflectance Spectroscopy and Its Effects on Friction by Hashizume, N. et al., Tribology Letters, 2024, 72(1), 17 📚 (Cited by 0)

The Effect of Carbon Structure of DLC Coatings on Friction Characteristics of MoDTC-Derived Tribofilm by Using an In Situ Reflectance Spectroscopy by Hashizume, N. et al., Tribology Letters, 2024, 72(1), 30 📚 (Cited by 1)