Mr. Zaw Min Tun | Machine design | Best Researcher Award

Published on 09/07/202509/07/2025 by Mechanics Awards

Mr. Zaw Min Tun | Machine design | Best Researcher Award

Electrical Engineer at Khon Kaen University, Thailand.

Zaw Min Tun is a highly skilled electrical engineering researcher and educator with extensive experience in electrical machine design, renewable energy systems, and power system reliability ⚡️. With over five years of research experience and more than a decade of pedagogical expertise in mathematics, Zaw Min Tun has established himself as a leader in his field. His expertise spans academic research, manuscript publication, and organizational leadership, with a proven ability to drive research excellence and operational efficiency 📚.

Professional Profile

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🎓 Education

– *Master of Engineering in Electrical Engineering*: Khon Kaen University, Thailand (2023-2025) 🎓– *Master of Engineering in Electrical Power*: Yangon Technological University, Myanmar (2018-2021) 🎓– *Bachelor of Engineering in Electrical Power*: Thanlyin Technological University, Myanmar (2011-2016) 🎓

💼 Experience

– *Treasurer*: Myanmar Student Association, Khon Kaen University, Thailand (July 2023 – August 2024) 💼– *Mathematics Educator*: Genius Education Centre, Yangon (February 2016 – February 2021) 📚– *Freelance Mathematics Tutor & Consultant*: (March 2011 – February 2021)

🔬 Research Interests

Zaw Min Tun’s research focuses on electrical machine design and optimization, renewable energy systems, and power systems and energy management ⚡️. His work involves designing and developing cost-efficient electrical generators for wind power applications and evaluating operational efficiencies in complex environmental and political contexts.

🏅 Awards

– Achieved GPA 4.0: Exemplifying academic rigor and research excellence throughout postgraduate studies 🏆– *Published two high-impact manuscripts*: In Tier-1 Wiley and Q1 MDPI journals

📚Top Noted Publications

– Electrical Machine Design & Optimization ⚙️
– Renewable Energy Systems & Wind Power Generation 🌞
– Power Systems & Energy Management 💡
– Advanced Simulation & Design Software (ANSYS Maxwell 2D, MATLAB, AutoCAD) 💻
– Academic Research & Manuscript Publication 📚
– Organizational Leadership & Financial Oversight 💼
– Multilingual Communication (English, Burmese, Japanese, Thai)

Conclusion

Mr. Zaw Min Tun’s research experience, publication record, leadership skills, and teaching experience make him a strong candidate for the Best Researcher Award. With some further emphasis on interdisciplinary collaboration and international exposure, Mr. Zaw Min Tun could further solidify his position as a leading researcher in his field.

Vítor Gomes | Fatigue | Best Researcher Award

Published on 24/02/202524/02/2025 by Mechanics Awards

Dr. Vítor Gomes | Fatigue | Best Researcher Award

Vítor M. G. Gomes, Faculty of Engineering of the University of Porto, Portugal

Vítor Gomes is a mechanical engineer specializing in fatigue analysis, structural design, and computational simulations. He holds a PhD in Mechanical Engineering from the Faculty of Engineering at the University of Porto (FEUP), focusing on fatigue performance methodologies for railway suspension systems. His expertise spans finite element analysis (FEA), 3D modeling, and programming, with proficiency in ANSYS, SolidWorks, Python, and C++. Over the years, Vítor has contributed to the development of railway rolling stock, robotic mechanisms, and material characterization through research and industry collaborations. His work includes project management, consulting, and supervising academic research. Currently, he serves as a Research and Development Engineer, optimizing production processes for electric motor components. He has been actively involved in EU-funded railway innovation projects and has authored several scientific papers. Passionate about engineering advancements, Vítor continues to shape the future of mechanical design and railway technology.

Profile.

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🎓 Education

PhD in Mechanical Engineering (2019-2023) – FEUP Thesis: “A Methodology for Fatigue Performance of Leaf Springs Suspensions for Freight Wagons” Dissertation: “Numerical Analysis of the Influence of Taper on Strength of Adhesively Bonded Joints” Project: “Design for a Friction Stir Spot Welding Machine” Master’s in Mechanical Engineering (2013-2016) – FCTUC Bachelor’s in Mechanical Engineering (2010-2013) – ISECVítor’s academic journey has focused on mechanical design, fatigue analysis, and railway structures. His research integrates computational simulations with experimental validation, contributing to innovative methodologies in mechanical engineering.

💼 Professional Experience

🔧 Research & Development Engineer (2024 – Present) – WEG Europe Monitoring and statistical control of production and assembly processes for electric motors and components.

🔬 Research Engineer

Developed, assembled, and tested full-scale railway components. Conducted finite element analysis (FEA) and fatigue assessments. Supervised academic projects and authored scientific publications. Provided consulting services for railway design and engineering projects. Mechanical Design Engineer (2016 – 2017) – TulaLabs Designed vehicle structures, robotic mechanisms, and air-compressed distribution networks. Created technical drawings and reports for engineering projects. 🎓 Intern Assistant Engineer (2014) – WEG Europe Assisted in mechanical design and fatigue testing.

🏆 Awards & Honors

🇵🇹 DB Rail Academy (2023) – Principles of Bogie Technology Certification 🇪🇺 EN 15085 Certification (2023) – Railway Welding of Vehicles and Components 📜 Product Management Certifications (2024-2025) – Agile Methodologies & Applications to Funded Projects 🔧 Computer & Programming Certifications (2021) – Python, C++, VBA Ordem dos Engenheiros (2015) – Ethics & Professional Deontology

🔍 Research Focus

Vítor’s research revolves around fatigue performance, finite element analysis (FEA), and mechanical design, particularly in railway engineering. His PhD focused on fatigue behavior of leaf springs in freight wagons, contributing to safer and more efficient railway suspension systems. He specializes in computational simulations for fatigue, welded joints, and bolted connections, utilizing software like ANSYS, LS-DYNA, and Simpack. His work extends to structural analysis of railway rolling stock, including bogies, wagon platforms, and auxiliary equipment supports. He actively participates in EU-funded projects such as Smart Wagons, Train Solutions, and Ferrovia 4.0, advancing railway innovation through research and consulting.

Publications

Gomes, V. M. G. et al. (2025) Full-Range Probabilistic Fatigue Modelling of 51CrV4 Steel of Parabolic Leaf Springs of Railway Rolling Stock – Metals (Under Review)

Gomes, V. M. G. et al. (2018) Fatigue Assessment of a Rail Profile under Shuttle Moving Loads – NEDCON Project Report

Carlos, (2020) Fatigue Behavior of Cold Roll-Formed Z-Rails for Rack Structures – Master Dissertation, FEUP

Silva, Lucas (2020) Monotonic and Fatigue Behaviour of Double Shear Bolted Joints – Master Dissertation, FEUP

Correia, Maria João (2019) Fatigue Behaviour of Cold-Rolled Profiles: Simulation and Characterization Studies – Master Dissertation, FEUP

Conclusion

Vítor Gomes is a strong candidate for the Best Researcher Award in fatigue analysis and structural durability. His academic background, technical expertise, and research contributions align well with the award criteria. However, enhancing his publication record, international collaborations, and industrial impact would further solidify his standing as a leading researcher in this field.

Zhangcun Yan | automatic vehicle system | Best Researcher Award

Published on 20/02/202520/02/2025 by Mechanics Awards

Dr. Zhangcun Yan | automatic vehicle system | Best Researcher Award

Research fellow,Tongji University, China

Zhangcun Yan is a Research Assistant at Tongji University, specializing in intelligent transportation systems. He earned his Ph.D. in Transportation from Tongji University (2024), an M.Sc. in Transportation Engineering from Southwest Jiaotong University (2018), and a B.Sc. in Transportation from Ningbo University of Technology (2015). As a visiting scholar at the University of Montreal (2023–2024), he expanded his expertise in AI-driven traffic safety solutions. His research focuses on applying computer vision and artificial intelligence to enhance urban mobility, traffic safety, and autonomous systems. Zhangcun has developed novel trajectory reconstruction methods, real-time road friction detection models, and risk assessment frameworks for mixed-traffic environments. His work has been published in top-tier journals such as Expert Systems with Applications and Traffic Injury Prevention. With a citation index of 44, he continues to push the boundaries of intelligent transportation, making significant contributions to reducing accidents and improving urban traffic management.

Profile.

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🎓 Education

Throughout his academic journey, Zhangcun has been dedicated to integrating artificial intelligence with transportation engineering to enhance road safety and efficiency. His doctoral research led to the development of an innovative NONM trajectory reconstruction method, significantly improving vehicle movement analysis in complex traffic environments. His studies also focused on real-time detection of road surface friction coefficients, a crucial factor in preventing weather-related traffic accidents. Zhangcun’s multidisciplinary education bridges the gap between traditional traffic engineering and cutting-edge AI applications.

💼 Experience

Zhangcun Yan has extensive experience in transportation research, focusing on AI applications in intelligent mobility and road safety. At Tongji University, he spearheaded multiple projects, including real-time road friction detection and automated trajectory reconstruction for urban intersections. During his tenure as a visiting scholar in Canada, he collaborated with global experts to enhance traffic risk modeling. His expertise in integrating deep learning with computer vision has led to groundbreaking solutions for vehicle tracking and collision prediction. Zhangcun’s experience spans interdisciplinary research, algorithm development, and data-driven transportation analytics, contributing to next-generation urban mobility solutions.

🏆 Awards and Honors

Zhangcun Yan has received multiple accolades for his pioneering work in AI-driven transportation research. His paper on NONM trajectory reconstruction was recognized as the Best Research Paper at an international conference, reflecting his innovative approach to solving urban mobility challenges. He was also honored for his contributions to intelligent transportation solutions at Tongji University. His ability to bridge AI with real-world traffic safety applications has earned him recognition as one of China’s top emerging transportation researchers. These awards highlight his dedication to making roads safer and more efficient through AI-powered solutions.

🔬 Research Focus

🚗 Trajectory Reconstruction & Analysis – Developed a high-precision NONM method to enhance vehicle trajectory accuracy using social force models and particle filtering.

Road Surface Friction Detection – Created a real-time RSFC detection system using CNN-based vision models, improving road safety in adverse weather.

⚠️ Driving Risk Assessment – Designed an AI-based risk prediction framework for mixed-traffic environments, aiding in proactive accident prevention.

📹 Computer Vision for Traffic Monitoring – Implemented YOLOv7 and DeepSort algorithms for automated vehicle tracking and intersection analysis.

His interdisciplinary work integrates AI, deep learning, and transportation engineering, leading to more efficient urban traffic management and reduced road accidents. Zhangcun’s research continues to drive innovations in autonomous driving, intelligent traffic systems, and urban mobility safety.

Publications

🏎️ “Trajectory Reconstruction Using NONM and Social Force Models” – Expert Systems with Applications

🚦 “AI-Driven Road Surface Friction Estimation in Adverse Weather” – Alexandria Engineering Journal

🚘 “Collision Risk Prediction at Urban Intersections” – Traffic Injury Prevention

🚲 “Analyzing Mixed-Traffic Interactions Using Deep Learning” – Journal of Transportation Engineering

Conclusion

Zhangcun Yan is a strong contender for the Best Researcher Award in mechanics and transportation engineering. His work in computer vision, AI-driven risk modeling, and autonomous safety systems makes a significant contribution to the field. However, improving industry collaborations, patent filings, and professional memberships would further establish his standing as a leading researcher in intelligent transportation systems. If he continues expanding his research outreach and practical applications, he will be an even more influential figure in the domain.

Simon Yishak | Manufacturing Engineering | Academic Excellence in Mechanics Award

Published on 25/01/202525/01/2025 by Mechanics Awards

Mr. Simon Yishak | Manufacturing Engineering | Academic Excellence in Mechanics Award

Lecturer at Arba Minch University, Ethiopia

🌟 Simon Yishak Kolebaye is a passionate academic leader serving as a lecturer and Head of the Automotive Engineering Department at Arba Minch University, Ethiopia, since 2016. 🎓 He earned his BSc in Mechanical Engineering from Mizan Tepi University and an MSc in Manufacturing Engineering and Automation from Arba Minch University. 🛠️ With nine years of professional experience, Simon focuses on bridging academia and industry through innovative research, community engagement, and industry-technology transfer. 🚀 His expertise in advanced manufacturing and process optimization reflects his commitment to Ethiopia’s technological growth. 🌍

Publication Profile

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Education🎓

MSc in Manufacturing Engineering and Automation (2021) – Arba Minch University BSc in Mechanical Engineering, Manufacturing Stream (2015) – Mizan Tepi University Specialized in advanced manufacturing, CNC technology, additive manufacturing, process planning, welding machines, and automation. 🤖 His academic training integrates engineering principles with cutting-edge technologies to enhance manufacturing systems. 🚀

Experience 📌

Head of Automotive Engineering Department at Arba Minch University (2016–present) Led department operations, curriculum development, and student mentorship. Coordinated research projects bridging academic solutions with industry needs. Actively engaged in teaching advanced manufacturing technologies, workshop technology, and process optimization. Contributed to community-focused projects, enhancing education and safety in Ethiopia.

Awards and Honors 🏆

Recognized for exceptional leadership in academic program management. Received grants for innovative research projects funded by Arba Minch University. Honored for community service initiatives improving local education and infrastructure. Acknowledged for excellence in publishing impactful research in advanced manufacturing.

Research Focus 🔬

Focused on additive manufacturing and process optimization for energy storage, graphene composites, and pipeline applications. Specialized in thermoplastic infill patterns, laser scanning for nickel alloys, and biocomposites. Worked on sustainability, utilizing waste-derived materials for manufacturing innovations. Published studies on CNC automation, rapid prototyping, and advanced manufacturing systems. Dedicated to developing scalable, eco-friendly, and cost-effective manufacturing solutions.

Publications 📖

1. Additive Manufacturing (3D Printing)

Graphene Enhanced PETG Optimization:

Title: Fused deposition modeling process parameter optimization on the development of graphene enhanced polyethylene terephthalate glycol

Journal: Scientific Reports (2024, 14(1), 30744)

Focus: Optimizing parameters for FDM using graphene-reinforced PETG.

Citations: 0

Graphene-Reinforced PETG Impeller Production:

Title: Optimizing additive manufacturing parameters for graphene-reinforced PETG impeller production: A fuzzy AHP-TOPSIS approach

Journal: Results in Engineering (2024, 24, 103018)

Focus: Application of multi-criteria decision-making tools for PETG optimization.

Citations: 4

Thermoplastic Polyurethane for Pipeline Applications:

Title: Analysis and Optimization of Thermoplastic Polyurethane Infill Patterns for Additive Manufacturing in Pipeline Applications

Journal: Advances in Polymer Technology (2024)

Focus: Infill pattern optimization in AM applications.

Citations: 0

2. Laser Manufacturing

Nickel-Based Superalloys:

Title: Role of laser power and scan speed combination on the surface quality of additive manufactured nickel-based superalloy

Journal: Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications (2024, 238(6), pp. 1142–1154)

Focus: Investigates laser parameters on the surface quality of nickel alloys.

Citations: 13

3. Composites and Biocomposites

Biocomposites of Jute/Bagasse/Coir/Nano TiO2:

Title: An Investigation on the Activation Energy and Thermal Degradation of Biocomposites of Jute/Bagasse/Coir/Nano TiO2/Epoxy-Reinforced Polyaramid Fibers

Journal: Journal of Nanomaterials (2022)

Focus: Studied thermal degradation of sustainable biocomposites.

Citations: 33

Conclusion

Mr. Simon Yishak demonstrates exceptional qualifications and expertise that align closely with the goals of the Research for Academic Excellence in Mechanics Award. His academic rigor, innovative research, and practical contributions to manufacturing engineering position him as a strong candidate for this prestigious recognition. By focusing on international collaborations, patent development, and expanding his research into emerging fields, Simon could further solidify his candidacy and amplify his contributions to the discipline.

Tianchi Li | nuclear fuel reprocessing | Young Scientist Award

Published on 28/12/202428/12/2024 by Mechanics Awards

Assist. Prof. Dr Tianchi Li | nuclear fuel reprocessing | Young Scientist Award

assistant researchers at China Institute of Atomic Energy , China

Tianchi Li is an Assistant Researcher at the China Institute of Atomic Energy, focusing on nuclear fuel reprocessing. With a solid background in chemical engineering, Li has contributed to advancing China’s nuclear energy sector by participating in five national projects and authoring 13 SCI papers. His expertise lies in the shearing and dissolving processes of spent nuclear fuel, a crucial aspect of sustainable nuclear technology. Li’s innovative approach has led to 17 patent applications, with three successfully authorized. His commitment to scientific excellence is evident through his contributions to cutting-edge nuclear reprocessing techniques.

Publication Profile

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🎓 Education

📘 Bachelor’s Degree (2012-2016): School of Chemical Engineering Master’s Degree (2016-2019): School of Chemical Engineering Research Traineeship (2019-2021): Department of Radiochemistry Assistant Researcher (2021-Present): Department of Radiochemistry

💼 Experience

🎓 Research Trainee (2019-2021): Gained hands-on experience in nuclear radiochemistry. Assistant Researcher (2021-Present): Engaged in nuclear fuel reprocessing with a focus on spent fuel shearing and dissolving. Project Contributions: Participated in five national-level nuclear research projects.

🏆 Awards and Honors

🚀 Patents: Applied for 17 invention patents; 3 authorized. Publications: 13 SCI-indexed journal articles. Projects: Contributor to five national projects advancing nuclear technology. Recognition: Acknowledged for significant contributions to China’s nuclear fuel reprocessing advancements.

🔬 Research Focus

☢️ Primary Focus: Nuclear fuel reprocessing technologies. Key Expertise: Spent fuel shearing and dissolving processes 📊 Project Involvement: Critical role in developing innovative nuclear processing techniques. Impact: Supports sustainable nuclear energy strategies in China.

Publications 📖

Experimental study on the laser cutting process of the stainless steel hexagonal tube of fast reactor simulate assembly
Journal: Nuclear Engineering and Design
Publication Date: February 2025
DOI: 10.1016/j.nucengdes.2024.113788
Co-authors: Zengliang Mo, Jia Zhou, Qi Chen, Zhi Cao, Jianhua Guo, et al.

Kinetics and mechanism of oxidation of simulated spent nuclear fuel segment at 500°C
Journal: Journal of Nuclear Materials
Publication Date: February 2025
DOI: 10.1016/j.jnucmat.2024.155581
Co-authors: Yandong Sun, Zheng Wei, Ying Chen, Fang Liu, Taihong Yan, et al.

Exploration of Optical Fiber and Laser Cutting Head Applications in High-Radiation Environments for Fast Reactor Spent Fuel Reprocessing
Journal: Sensors
Publication Date: December 2024
DOI: 10.3390/s25010031
Co-authors: Qi Chen, Jiarong Zheng, Jia Zhou, Zhengbin Chen, Zengliang Mo, et al.

Experimental study on laser cutting process of simulated fast reactor fuel rods
Journal: Scientific Reports
Publication Date: November 2024
DOI: 10.1038/s41598-024-81161-z
Co-authors: Zengliang Mo, Qi Chen, Jia Zhou, Zhi Cao, Jianhua Guo, et al.

Kinetics of the Dissolution Reaction of the U3O8 Powder in Nitric Acid after Oxidation Volatilization at 850 °C
Journal: ACS Omega
Publication Date: November 2024
DOI: 10.1021/acsomega.4c05400
Co-authors: Ziqian Zhao, Jia Zhou, Yandong Sun, Zonghui Lu, Ting Yu, et al.

Kinetic Study and Process Optimization of Plutonium Barrier Units for Enhanced Plutonium Stripping in the PUREX Process
Journal: Separations
Publication Date: September 2024
DOI: 10.3390/separations11090278
Co-authors: Haowei Zhu, Qi Chen, Chen Zuo, Jieqiong Yuan, et al.

Study on the Deactivation Mechanism of Ru/C Catalysts
Journal: Processes
Publication Date: May 2024
DOI: 10.3390/pr12061138
Co-authors: Zhi Cao, Baole Li, Xiwen Chen, Chen Zuo, et al.

Radiation Damage Mechanisms and Research Status of Radiation-Resistant Optical Fibers: A Review
Journal: Sensors
Publication Date: May 2024
DOI: 10.3390/s24103235
Co-authors: Jicong Li, Qi Chen, Jia Zhou, Zhi Cao, et al.

Dissolution of Mixed Oxide (MOX) Fuel in Nitric Acid: A Review
Journal: Heliyon
Publication Date: March 2024
DOI: 10.1016/j.heliyon.2024.e27502
Co-authors: Fang Liu, Zhou Jia, Fangxiang Luo, Taihong Yan, et al.

Conclusion

Tianchi Li’s robust patent activity, SCI publications, and involvement in national projects establish him as a promising contender for the Young Scientist Award. By enhancing his professional network, increasing citation visibility, and pursuing editorial or leadership roles, he can further strengthen his nomination and future career prospects.

Yuqin Wang | Mechanical system testing and control | Best Researcher Award

Published on 20/12/202420/12/2024 by Mechanics Awards

Prof. Yuqin Wang | Mechanical system testing and control | Best Researcher Award

University teacher at Chaohu University, China

🌟 Yuqin Wang is an associate professor in the School of Mechanical Engineering at Chaohu University, China. 🏫 With a passion for advancing engineering education, he has made significant contributions to the design of virtual simulation systems and mechanical system testing and control. 💻🔧 Yuqin has presided over five teaching and research projects and published multiple SCI-indexed papers that enhance the engineering practice abilities of students. 📚🎓 His innovative “One Body, Two Wings” virtual simulation teaching system combines online and offline resources, fostering student innovation and professional skills in intelligent manufacturing. 🤖✨ Yuqin’s dedication to integrating technology into teaching has made him a leading figure in modern engineering education.

Professional Profiles:

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Education 🎓

Postgraduate Degree in Mechanical Engineering Institution: Chaohu University Yuqin Wang completed his postgraduate studies focusing on mechanical system testing and control. His academic background reflects a strong commitment to integrating technology into traditional engineering disciplines, enabling innovative applications in teaching and research. ✨📚

Experience 💼

Associate Professor: Chaohu University Focused on virtual simulation, mechanical system testing, and control. Implemented advanced teaching methodologies for intelligent manufacturing professionals. Published 10+ SCI-indexed academic papers on engineering education.

Awards and Honors 🏆

Notable Contributions: Recognized for innovative virtual simulation teaching methodologies. Publications: 10 SCI-indexed papers.

Research Focus 📚

Area: Virtual simulation design for intelligent manufacturing. Impact: Enhancing practical and cognitive engineering skills.

✍️Publications Top Note :

Optimization Design of Centrifugal Pump Flow Control System Based on Adaptive Control

Conclusion

Yuqin Wang is a strong contender for the Best Researcher Award due to his dedication to advancing mechanical system testing and virtual simulation. His research has significantly impacted engineering education and professional development. Addressing areas like patents, industry collaborations, and broader outreach can further solidify his position as an innovator and leader in his field.

Kangming Chen | Fatigue performence of intersection joint | Best Researcher Award

Published on 06/12/202406/12/2024 by Mechanics Awards

Mr. Kangming Chen | Fatigue performence of intersection joint | Best Researcher Award

No designation at College of Civil Eng, Fuzhou University Fuzhou, China

🛠️ Dr. Chen Kangming, PhD in Engineering, is a researcher and doctoral supervisor at Fuzhou University’s School of Civil Engineering. Specializing in steel-concrete composite structures and bridge fatigue, he has led 5 vertical and 40+ horizontal projects. Dr. Chen has published over 60 academic papers, with 40+ indexed in SCI/EI, obtained 30+ patents, and received Fujian Science and Technology Progress Awards (2nd and 3rd prizes).

Profile

scopus

Education🎓

PhD in Bridge Engineering (2010–2013): Nagasaki University, Japan.Master’s in Bridge and Tunnel Engineering (2007–2010): Fuzhou University.Bachelor’s in Civil Engineering (2003–2007): Fuzhou University.

Experience👨‍🏫

Researcher, Fuzhou University (2023–present). Associate Researcher, Fuzhou University (2017–2023). Assistant Researcher, Fuzhou University (2013–2017).

Awards and Honors🏆

2020: Fujian Provincial Science and Technology Progress Award (2nd Prize) 2018: Fujian Provincial Science and Technology Progress Award (3rd Prize). 2021: National Postdoctoral Innovation Competition (4th place). 2023: Fuzhou University “Outstanding Young Teacher” Inspirational Award.

Research Focus🔬

Steel-concrete composite structures. Fatigue resistance and design of bridge structures. Durability improvement in prefabricated bridges. Optimization of steel box girders and anchorage designs.

Publication Top Notes

Calculation method of out-of-plane elastic stability bearing capacity for concrete-filled steel tubular arch bridges with circular tube ribs

Journal: Journal of Jilin University (Engineering and Technology Edition), 2024, 54(10), pp. 2930–2940.

Co-authors: Q.-W. Huang, Q.-X. Wu, B.-C. Chen, Z.-W. Ye.

Focus: Analytical method for elastic stability in CFST arch bridges.

Simplified calculation method for suspension bridge deck system under safety limit conditions of suspender fracture

Journal: China Civil Engineering Journal, 2024, 57(10), pp. 57–70.

Co-authors: Q. Wu, J. Luo, J. Lin.

Focus: Suspension bridge deck safety under suspender failure.

Flexural behavior of composite continuous girders with concrete-filled steel tubular truss chords

Journal: Journal of Jilin University (Engineering and Technology Edition), 2024, 54(6), pp. 1665–1676.

Co-authors: H.-H. Huang, Q.-X. Wu.

Focus: Investigates bending performance in CFST girders.

Bending Performance of a Prestressed Concrete Composite Girder Bridge with Steel Truss Webs

Journal: Applied Sciences (Switzerland), 2024, 14(11), 4822.

Co-authors: W. Wang, Y. Liu.

Focus: Experimental and theoretical studies on composite girder bridges.

Fatigue performance experiment of concrete-filled steel tubular-KK joint

Journal: Journal of Traffic and Transportation Engineering, 2024, 24(1), pp. 100–116.

Co-authors: Q.-X. Wu, J.-P. Luo, Y.-L. Yang, C.-Y. Miao, S. Nakamura.

Focus: Fatigue resistance in KK joints.

Research on the torsional behavior of composite girders with CSW-CFST truss chords

Journal: China Civil Engineering Journal, 2023, 56(10), pp. 93–126.

Co-authors: H. Huang, Q. Wu, S. Nakamura, J. Dong.

Focus: Examines torsion resistance in truss chord girders.

Equivalent static calculation method for CFST arch bridges considering hanger fracture dynamics

Journal: China Civil Engineering Journal, 2023, 56(6), pp. 63–74.

Co-authors: Q. Wu, J. Luo, H. Wang.

Focus: Static response analysis for hanger-damage scenarios.

Experimental investigation on composite girders with CSW-CFST truss chords subjected to combined flexure and torsion

Journal: Advances in Structural Engineering, 2023, 26(8), pp. 1468–1485.

Co-authors: H. Huang, Q. Wu, S. Nakamura.

Focus: Studies combined structural load effects.

Calculation Method for Flexural Bearing Capacity of Composite Girders with CFST Truss Chords

Journal: Journal of Bridge Engineering, 2023, 28(5), 04023019.

Co-authors: H. Huang, Q. Wu, S. Nakamura.

Focus: Provides a simplified flexural capacity model for girders.

Fatigue Performance Test and Finite-Element Analysis of CFST K-Joints

Journal: Journal of Bridge Engineering, 2023, 28(3), 04023003.

Co-authors: Q. Wu, H. Huang, Q. Zheng, S. Nakamura.

Focus: Combines experimental and computational methods to study joint fatigue.

Conclusion

Dr. Chen Kangming’s remarkable achievements in bridge engineering, steel-concrete composite structures, and fatigue resistance research make him an excellent candidate for the Best Researcher Award. His extensive research portfolio, innovative contributions, and academic leadership set him apart. Strengthening his global presence, interdisciplinary efforts, and public outreach could elevate his profile further, aligning with the award’s standards for exemplary researchers.

ERHAN BAYSAL | Mechanical Engineering | Best Researcher Award

Published on 05/12/202405/12/2024 by Mechanics Awards

Mr. ERHAN BAYSAL | Mechanical Engineering | Best Researcher Award

Lecturer at Laser Research Centre, Zonguldak Bülent Ecevit Üniversitesi, China

Erhan Baysal is a Lecturer at Bülent Ecevit University, specializing in Mechanical Engineering. With a strong background in materials science and manufacturing processes, particularly in friction welding, he has contributed to numerous academic publications. His academic journey spans various prestigious institutions, and he actively participates in research and academic projects related to material behavior, mechanical design, and welding technologies. 📚🔧👨‍🏫

Profile

scholar

Education 🎓

Master’s in Mechanical Engineering, Bülent Ecevit University, 2019 🎓Bachelor’s in Mechanical Engineering, Fırat University, 2013

Experience 🏫💻

Lecturer, Bülent Ecevit University, 2016–present 🎓Researcher in national projects on manufacturing processes 🛠️Instructor in various courses including Strength of Materials and Manufacturing Processes

Awards and Honors 🏆

Contributor to several peer-reviewed articles in international journalsPublished in prestigious conferences and journals on materials and welding technologies 📑Awarded for his contribution to applied research in friction welding and mechanical design 🌍

Research Focus🔬🔩

Erhan Baysal’s research focuses on materials science, particularly the mechanical behavior and welding of aluminum alloys using friction stir welding. He also explores deformation processes in material shaping and manufacturing optimization.

Publication Top Notes

An Overview of Deformation Path Shapes on Equal Channel Angular Pressing” (2022)

Authors: E. Baysal, O. Koçar, E. Kocaman, U. Köklü

Journal: Metals 12 (11), 1800

Summary: This paper discusses the deformation paths formed during equal channel angular pressing (ECAP). The study focuses on how different processing parameters, such as the angle of the channels, affect the microstructure and mechanical properties of the material.

“Mechanical Behavior of a Friction Welded AA6013/AA7075 Beam” (2022)

Authors: O. Koçar, M. Yetmez, E. Baysal, H.A. Ozyigit

Journal: Materials Testing 64 (2), 284-293

Summary: This research investigates the mechanical properties of beams made from AA6013 and AA7075 aluminum alloys joined via friction welding. The study examines the mechanical behavior of the weld joint, focusing on parameters such as strength, hardness, and fracture toughness.

“A New Approach in Part Design for Friction Stir Welding of 3D-Printed Parts with Different Infill Ratios and Colors” (2024)

Authors: O. Koçar, N. Anaç, E. Baysal

Journal: Polymers 16 (13), 1790

Summary: This paper introduces a novel approach to part design for friction stir welding (FSW) of 3D-printed parts. The study evaluates how different infill ratios and colors in 3D printing affect the welding process, quality, and mechanical properties of the final product.

“Eşit Kanallı Açısal Presleme Yönteminde Kanal Açılarının ve İç Köşe Kavisinin Deformasyona Etkisinin Sonlu Elemanlar Metodu ile İncelenmesi” (2023)

Authors: E. Baysal, O. Koçar, N. Anaç, F. Darıcı

Journal: Çukurova Üniversitesi Mühendislik Fakültesi Dergisi 38 (3), 859-873

Summary: This paper investigates the effect of channel angles and inner corner radii on deformation during equal channel angular pressing (ECAP) using finite element method (FEM) simulations. The research provides insights into how these factors influence material flow and structural integrity.

“Görüntü İşleme Teknikleri ile Rulo Sac Hassas Doğrultmada Silindir Konumlarının Belirlenmesi” (2021)

Authors: O. Koçar, S. Dikici, H. Uçar, E. Baysal

Journal: El-Cezeri 8 (2), 604-617

Summary: This article explores the use of image processing techniques to determine the cylinder positions in precision flattening of rolled sheets. The study demonstrates how computer vision can enhance manufacturing processes, particularly in achieving high precision in material deformation.

“3B Yazıcıda Üretilen Plakaların Sürtünme Karıştırma Kaynak Parametrelerinin YSA ile Tahmini” (2024)

Authors: N. Anaç, O. Koçar, E. Baysal

Journal: Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi 13 (1), 176-187

Summary: This paper presents a prediction model using artificial neural networks (ANN) to estimate the parameters for friction stir welding of 3D-printed plates. The research focuses on optimizing welding conditions to improve the quality and strength of the welded joints.

“Etial 180 Alaşımına İlave Edilen Bakırın Mikroyapı, Sertlik ve Korozyon Üzerindeki Etkisi” (2023)

Authors: E. Kocaman, E. Baysal, O. Koçar, A.S. Güldibi, S. Şirin

Journal: Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi 12 (2), 604-611

Summary: This study investigates the impact of adding copper to Etial 180 alloy, focusing on its effect on microstructure, hardness, and corrosion resistance. The findings highlight the potential improvements in material properties when copper is incorporated into the alloy.

“Barkhausen Noise as A Magnetic Nondestructive Testing Technique”

Authors: Ö. Adanur, O. Koçar, A.S. Güldibi, E. Kocaman, E. Baysal

Journal: Black Sea Journal of Engineering and Science 7 (4), 7-8

Summary: The paper explores the use of Barkhausen noise as a nondestructive testing (NDT) technique to assess the magnetic properties of materials. This method is useful in evaluating the integrity and structural health of components without causing damage.

“AA6013/AA7075 Alüminyum Malzemelerin Sürtünme Kaynağı Yöntemiyle Birleştirilmesi ve Analizi”

Authors: E. Baysal, O. Koçar, M. Yetmez, H.A. Ozyigit

Summary: This research focuses on the friction stir welding (FSW) of AA6013 and AA7075 aluminum alloys, analyzing the mechanical properties, microstructure, and joint quality achieved by this welding method.

Conclusion

Erhan Baysal has shown exceptional dedication to advancing mechanical engineering through his research and teaching. His focus on cutting-edge manufacturing technologies, coupled with his broad publication history, makes him a strong candidate for the Best Researcher Award. With further interdisciplinary integration and industry collaborations, he could significantly elevate the practical applications of his research, solidifying his role as a leading figure in the field. His ongoing work promises to continue shaping the future of mechanical engineering.

Abid Afsan Hamid | Engineering | Best Researcher Award

Published on 05/11/202405/11/2024 by Mechanics Awards

Mr. Abid Afsan Hamid | Engineering | Best Researcher Award

Part Time Lecturer at Khulna University, Bangladesh

Abid Afsan Hamid is a passionate and dedicated scholar from Jashore, Bangladesh. Born on July 10, 1999, he is currently pursuing his MSc in Computer Science and Engineering at Khulna University, where he maintains a perfect CGPA of 4.00. Abid is known for his quick learning abilities and thrives under pressure, making him a valuable asset in any research team. His research interests lie in artificial intelligence and software engineering, particularly focusing on software evolution and maintenance. With a solid academic foundation, he aims to contribute significantly to the field of computer science.

Publication Profile

scholar

Education📚

Abid completed his BSc in Computer Science and Engineering at Khulna University, graduating with distinction and a CGPA of 3.86. He is currently pursuing an MSc at the same institution, achieving a remarkable CGPA of 4.00 over two terms. Prior to his university education, Abid excelled in his Higher Secondary Certificate (HSC) with a GPA of 5.00 and similarly achieved a GPA of 5.00 in his Secondary School Certificate (SSC). His strong academic performance reflects his dedication and commitment to his studies.

Experience 💼🔍

Abid has significant research experience through his undergraduate and graduate theses. His undergraduate thesis focused on software engineering, proposing a Composite Ranking mechanism for co-change candidates using programmer sensitivity. In his graduate thesis, he improved the suggestion-making accuracy of the FLeCCS technique by integrating semantics, resulting in a new model called iFLeCCS. Abid’s hands-on approach to research has equipped him with practical skills in software development and analysis, making him proficient in addressing real-world software challenges.

Awards and Honors🏆

Abid has consistently demonstrated academic excellence throughout his educational journey, earning recognition for his outstanding performance. His distinction in the BSc program at Khulna University is a testament to his hard work and dedication. Additionally, his contributions to software engineering research have been acknowledged by his professors and peers, further establishing his reputation as an emerging talent in the field. Abid’s commitment to continuous learning positions him for future accolades and achievements. 🏅🎖️

Research Focus🤖💻

Abid’s research interests lie primarily in artificial intelligence and software engineering, with a particular focus on software evolution and maintenance. His work aims to enhance software systems’ adaptability and functionality through innovative methodologies, such as the development of the iFLeCCS model. By combining theoretical insights with practical applications, Abid seeks to contribute to advancements in the field of software engineering, ultimately improving the efficiency and reliability of software systems.

Publication Top Notes

Title: Ranking co-change candidates suggested by FLeCCS using programmer sensitivity

Authors: AA Hamid, MF Haque, M Mondal

Journal: Science of Computer Programming

Volume: 240

Article Number: 103216

Year of Publication: 2025

Conclusion

Abid Afsan Hamid demonstrates significant promise as a researcher in the field of computer science and engineering. His academic excellence, coupled with innovative research in software engineering, positions him as a strong candidate for the Best Researcher Award. While there are areas for improvement, particularly in expanding his research experience and publication record, his commitment to continuous learning and impressive academic achievements strongly support his candidacy. With further development and broader engagement in the research community, Abid is poised to make impactful contributions to the field of computer science.

Weifeng Sun | Structural Health Monitoring | Best Researcher Award

Published on 10/09/202410/09/2024 by Mechanics Awards

Mr. Weifeng Sun | Structural Health Monitoring | Best Researcher Award

Lecturer Chang’an University, China

Weifeng Sun 👨‍🔬, a doctor of engineering, hails from Yanling County, Henan Province. He is a lecturer and master’s supervisor at Chang’an University’s College of Geology and Engineering 🏫. As a member of the Chinese Society for Rock Mechanics and Engineering 🧗‍♂️ and the Communist Party of China 🇨🇳, he has published nearly 20 academic papers 📚 and holds over 40 patents and software copyrights 💻. His work is focused on geological engineering, both in teaching and research

Publication Profile

Orcid

Education 🎓

Weifeng Sun completed his Doctorate in Engineering 🎓 with a focus on geotechnical materials and geological engineering 📊. His educational journey involved rigorous research 🧠 into the deformation and failure mechanisms of geotechnical materials, stability of soil slopes 🌱, and intelligent monitoring technologies 🖥️. His academic foundation provides a strong framework for his innovative research into geotechnical engineering 🔨, making significant contributions to both academia and practical applications in the field 🏗️.

Experience 👨‍🏫

Dr. Weifeng Sun’s professional journey spans across teaching 📘 and research 🔬 at the College of Geology and Engineering, Chang’an University 🏛️. As a lecturer and master’s supervisor 👨‍🏫, he mentors aspiring geologists and engineers while advancing his research in geotechnical engineering 🏞️. With 20+ publications and over 40 patents and software copyrights 📝, he is actively involved in cutting-edge research on geological materials and monitoring systems. His expertise extends to in-situ testing 🧪 and geotechnical project management 🚧.

Awards and Honors 🏆

Dr. Weifeng Sun’s pioneering work in geotechnical engineering has earned him numerous accolades , including recognition for his patents and contributions to the field 📜. As a member of prestigious organizations like the Chinese Society for Rock Mechanics and Engineering 🏅, his innovative research has been acknowledged both nationally and internationally 🌍. His patents 💡 and research papers 📖 reflect his commitment to advancing geotechnical engineering 🏗️, establishing him as a respected figure in the academic and professional communities 🎖️.

Research Focus 🔍.

Weifeng Sun’s research interests lie in the deformation and failure mechanisms of geotechnical materials 🧱, plant-based control on shallow soil slopes stability 🌳, intelligent monitoring for geotechnical structures 🖥️, and in-situ testing of geotechnical materials 🧪. His work aims to improve the safety and efficiency of geotechnical engineering projects 🌐 by leveraging advanced monitoring techniques and developing sustainable engineering solutions 🌱. His multidisciplinary approach addresses both macroscopic and microscopic geotechnical challenges 🔍.

Publications Top Notes

“A Statistical Damage Model for the Soil–Structure Interface Considering Interface Roughness and Soil Shear Area”
Construction and Building Materials, 2024-06
DOI: 10.1016/j.conbuildmat.2024.136606

“Effect of Dry-Wet Cycles and Freeze-Thaw Cycles on the Antierosion Ability of Fiber-Reinforced Loess”
Advances in Materials Science and Engineering, 2021-01
DOI: 10.1155/2021/8834598

“Deformation of Geogrid-Reinforced Segmental Retaining Wall Due to Insufficient Compaction of the Loess Backfill: Case Study in Shaanxi Province, China”
Journal of Performance of Constructed Facilities, 2019-09-18
DOI: 10.1061/(ASCE)CF.1943-5509.0001346

“Failure Models of a Loess Stacked Dam: A Case Study in the Ansai Area (China)”
Bulletin of Engineering Geology and the Environment, 2019-09-06
DOI: 10.1007/s10064-019-01605-z

“A Dry Soil Crushing and Screening Device in Geotechnical Test”
Patent ZL201821116361.2 (2019-01-18)

“A Soil Sensor Installation Device”
Patent ZL201821109384.0 (2019-01-04)

“A Rebar Meter Used to Monitor Force of Anchor Embed in Rock and Soil”
Patent ZL201721579552.8 (2018-08-10)

“A Comprehensive Geotechnical Test Platform for Geological Model Tests of Complex Slopes”
Patent ZL201710480631.1 (2017-08-29)

Conclusion

Dr. Weifeng Sun is a highly qualified candidate for the Best Researcher Award due to his substantial contributions to geological engineering, including a robust portfolio of publications and patents. His research addresses critical issues in the field, and his role as an educator further underscores his impact. With improvements in global collaboration and broader dissemination of his work, Dr. Sun could further elevate his stature in the international research community. Overall, his innovative approaches and commitment to advancing geological engineering make him a strong contender for the award.