Jiankang Wang | Intelligent Manufacturing | Best Researcher Award

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Dr. Jiankang Wang | Intelligent Manufacturing | Best Researcher Award

Dr. Jiankang Wang – School of engineers, Beijing Institute of Petrochemical Technology, China.

Dr. Jiankang Wang is a dedicated researcher and academic in the field of intelligent manufacturing and electrochemical machining. Originally from China, he has pursued an international academic path, earning his Ph.D. in Engineering from Tokyo University of Agriculture and Technology in Japan. Currently, he is serving as a researcher at the Beijing Institute of Petrochemical Technology (BIPT). Dr. Wang has demonstrated consistent academic and research excellence, contributing innovative methods to electrochemical and electrical discharge machining. His work has earned him numerous prestigious scholarships and awards in Japan, underscoring his commitment to pioneering advancements in precision manufacturing technologies.

Publication Profile

Scopus

🎓 Education Background

Dr. Jiankang Wang began his academic journey at the China University of Geosciences (Wuhan), where he obtained his Bachelor of Engineering in Mechanical Design, Manufacturing, and Automation (2012–2016). He then moved to Japan, earning his Master of Engineering in Management of Technology from Yamagata University (2017–2019). Building on this foundation, he pursued a Ph.D. in Mechanical Systems Engineering at the Tokyo University of Agriculture and Technology (2019–2022). His academic progression reflects a strong commitment to mechanical engineering, with a focus on applying electrochemical and intelligent manufacturing techniques for precision engineering.

🏢 Professional Experience

Since October 2023, Dr. Jiankang Wang has been a researcher at the Beijing Institute of Petrochemical Technology (BIPT), where he focuses on intelligent manufacturing applications. His career includes a robust academic background in Japan, where he engaged in high-impact research during his postgraduate studies. Dr. Wang has worked on developing corrosion-free electrochemical machining methods using novel material-absorption technologies. He also has experience simulating and verifying machining processes. With a foundation built across both Chinese and Japanese academic institutions, his professional trajectory reflects a blend of practical experimentation and theoretical rigor in engineering science.

🏆 Awards and Honors

Dr. Wang’s academic and research excellence has been consistently recognized through prestigious awards. He received scholarships from the Tohoku Mirai Scholarship and JEES Employment Promotion during his time at Yamagata University (2017–2018). The Rotary Yoneyama Memorial Foundation also honored him (2018–2019). He earned the TUAT FLOuRISH Research Incentive (2021–2022) and a JKA Machinery Promotion Grant (2021). His outstanding contributions to electrochemical machining earned him the 2022 Mazak Advanced Production System Excellent Paper Award and the Numata Memorial Paper Award from the Japan Society for Precision Engineering, showcasing his impact in advanced manufacturing.

🔬 Research Focus

Dr. Wang specializes in Electrochemical Machining (ECM) and Electrical Discharge Machining (EDM), with an emphasis on intelligent manufacturing techniques. His doctoral research revolved around developing a novel stray-corrosion-free surface texturing method using electrolyte absorbed in a porous solid ball. This innovation enhances precision and minimizes surface damage. At BIPT, he continues to expand this work by applying ECM and EDM principles to modern manufacturing systems. His focus lies in optimizing machining mechanisms, reducing defects, and integrating sustainable materials into the manufacturing process, positioning him as a forward-thinking contributor in precision engineering and green technology.

🔚 Conclusion

Dr. Jiankang Wang emerges as a promising and accomplished researcher in the field of electrochemical and intelligent manufacturing. His academic and professional journey reflects a commitment to scientific innovation and applied engineering. With a background spanning leading institutions in China and Japan, and a research portfolio rich with groundbreaking techniques, Dr. Wang is well-positioned to contribute significantly to future advancements in precision manufacturing. His ongoing work at BIPT continues to address critical challenges in ECM and EDM, while his past accolades validate his research excellence and potential for broader industrial impact.

📚 Top Publications with Notes

  1. Stray-Corrosion-Free Dimple Texturing Through Electrochemical Machining with Electrolyte Absorbed in a Porous Solid Ball

    • Journal: Journal of Manufacturing Processes, 2022

    • Cited by: 18 articles

  2. Simulation and verification of electrochemical machining with electrolyte collected and confined by a porous solid ball

    • Journal: CIRP Journal of Manufacturing Science and Technology, 2022

    • Cited by: 11 articles

  3. Mechanism and characteristics of electrochemical machining using electrolyte absorbed in solid porous ball

    • Journal: Precision Engineering, 2022

    • Cited by: 9 articles

  4. Investigating characteristics of electrochemical machining through electrolyte absorbed with porous solid material

    • Journal: Journal of Manufacturing Systems, 2022

    • Cited by: 7 articles

  5. Preparation and evaluation of electromagnetic wave absorbing material by injection molding using plant-derived carbon powder

    • Journal: Composite Structures, 2021

    • Cited by: 5 articles

 

Marco Mosca | Plant Engineering | Best Researcher Award

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Assoc. Prof. Dr. Marco Mosca | Plant Engineering | Best Researcher Award

Associate Professor, Genoa University, Italy

Dr. Marco Mosca is a distinguished researcher and academic in the field of mechanical, energy, and industrial engineering with a keen focus on Industry 4.0 applications, artificial intelligence, and sustainable manufacturing. Currently serving as a Researcher at the University of Genoa, Italy, he has contributed significantly to the advancement of digital transformation in industrial and healthcare systems. His work integrates smart technologies, automation, and innovative management strategies to enhance efficiency and sustainability in production and logistics.

Publication Profile

🎓 Education

Dr. Marco Mosca has pursued advanced studies in mechanical and industrial engineering, equipping him with profound expertise in the optimization of manufacturing processes, AI-driven production, and Industry 4.0 methodologies. His academic journey has shaped his contributions to the fields of engineering management and smart technologies, paving the way for groundbreaking research and practical implementations in industry.

💼 Experience

With over a decade of academic and research experience, Dr. Mosca has held multiple roles at the University of Genoa, contributing extensively to the Department of Mechanical, Energy, Industrial, and Transport Engineering. His tenure includes positions as a Researcher (2019-present), an external and autonomous personnel member (2017-2018), and an assigned researcher in earlier years. His research focuses on digital transformation in industrial processes, AI-based automation, and sustainable manufacturing solutions, impacting both academia and industry.

🏆 Awards and Honors

Dr. Mosca has been recognized for his pioneering work in Industry 4.0 applications, supply chain management, and AI-driven industrial processes. His research contributions have gained wide recognition in high-impact journals and international conferences, positioning him as an influential figure in smart manufacturing, automation, and digital transformation.

🔬 Research Focus

Dr. Mosca’s research spans multiple domains, with key contributions in Industry 4.0, artificial intelligence in manufacturing, sustainable supply chains, and digital transformation in healthcare and industrial processes. His work aims to integrate smart technologies, optimize production efficiency, and improve economic and environmental sustainability.

📚 Publications

A Bibliometric Analysis on Artificial Intelligence in the Production Process of Small and Medium Enterprises (2025) – AI Journal

Exploring Industry 4.0’s Role in Sustainable Supply Chains: Perspectives from a Bibliometric Review (2025) – Logistics Journal

Personal Protective Equipment Management and Maintenance. An Innovative Project Conducted in a Major Italian Manufacturing Company  (2023) – WSEAS TRANSACTIONS ON SYSTEMS

Full Sanitization of Buildings with Industry 4.0 Management and Economic Advantages (2023) – WSEAS TRANSACTIONS ON BUSINESS AND ECONOMICS

An Innovative 4.0 System to Prevent the Spreading of Diseases Which Threaten the Globalized World (2023) – Health and Technology

Advanced 4.0 Bed Management System (2023) – ResearchSquare

An Application of Engineering 4.0 to Hospitalized Patients (2023) – Lecture Notes in Networks and Systems

Ansaldo Energia Progetto LHP (OR6.3): Proper Management of PPE (Personal Protective Equipment)  (2023) – Lecture Notes in Networks and Systems

🔍 Conclusion

Dr. Marco Mosca is a leading researcher and academic innovator in Industry 4.0, AI-driven industrial processes, and sustainable supply chain management. His groundbreaking work has significantly impacted both academia and industry, fostering advancements in automation, digital transformation, and smart manufacturing systems. With numerous high-impact publications and research contributions, he continues to shape the future of mechanical and industrial engineering. 🚀

Babar Ashfaq | Manufacturing | Best Researcher Award

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Dr. Babar Ashfaq | Manufacturing | Best Researcher Award 

Research Assistant, GiKI, Pakistan

Babar Ashfaq is a passionate researcher and educator specializing in Additive Manufacturing, Computational Mechanics, and Design Optimization. Currently pursuing a PhD in Mechanical Engineering at the Ghulam Ishaq Khan Institute, he has a strong foundation in high-velocity impact on composites from his MS at the International Islamic University. Babar is dedicated to advancing engineering through innovative research and teaching.

Publication Profile

Google scholar

Education

Babar holds a PhD in Mechanical Engineering from the Ghulam Ishaq Khan Institute of Engineering Sciences & Technology, where he has maintained a CGPA of 3.50. He also completed his MS and BS in Mechanical Engineering at the International Islamic University, with CGPAs of 3.80 and 3.52, respectively. His educational background equips him with a solid understanding of mechanical principles and advanced manufacturing techniques. 📚🎓

Experience

As a Graduate Research Assistant at the Ghulam Ishaq Khan Institute, Babar assists faculty with academic and administrative duties and teaches various courses, including Stress Analysis and Additive Manufacturing. He has also served as a Lab Engineer at the University of Lahore and a Visiting Lecturer at the International Islamic University, enriching his teaching and engineering experience. 🛠️👨‍🏫

Research Focus

Babar’s research focuses on Additive Manufacturing and Computational Mechanics, particularly in the development of innovative auxetic structures and the mechanical characterization of 3D printed materials. His work aims to enhance structural performance through geometric optimization and advanced material modeling techniques. 🔬💡

Awards and Honours

Babar has been actively involved in organizing conferences and workshops, including the 2nd International Conference on Modern Technologies in Mechanical & Material Engineering (MTME 2024) and various symposiums on materials technology. His contributions have been recognized through his participation as a speaker and moderator at prestigious events. 🏆🎤

Publication Top Notes

Babar Ashfaq has authored several noteworthy publications, including:

A novel design of mono and bi-cells based hybrid auxetic structures and assessment of their compressive properties. Journal of Materials Research and Technology, 2024. Link

Mechanical Characterization of Innovative 3D-printed Auxetic (NPR) Structures: Role of Considering Anisotropy on Accuracy of Numerical Modelling. Journal of Materials Research and Technology, 2024. Link

Geometric optimization of additively manufactured hybrid auxetic structures for enhanced compression performance via Taguchi approach. Additive Manufacturing, 2024. (Submitted)

Enhancing Structural Design: Anisotropic Material Modeling for Additively Manufactured Auxetic Structures. Scientific Reports, 2024. (Submitted)

Impact Resistance of GLARE Composites in Aerospace: A Finite Element Analysis of Bird Strike Scenarios. Journal of Advanced Mechanical Design Systems and Manufacturing, 2024. (Submitted)