Jiankang Wang | Intelligent Manufacturing | Best Researcher Award

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

 

Mr. Federico Briatore | Industry 4.0 | Best Researcher Award

Mr. Federico Briatore | Industry 4.0 | Best Researcher Award

University of Genoa, Italy

Federico Briatore is a dynamic researcher and consultant from Italy, specializing in Industry 4.0, Artificial Intelligence, and Healthcare. With a strong background in engineering and business administration, he has worked on optimizing industrial processes, implementing AI-driven solutions, and advancing digital transformation in various sectors. His expertise spans economic analysis, digital transformation, predictive modeling, and automation. Federico has also contributed significantly to academia with numerous research publications in top-tier journals and conferences.

Publication Profile

🎓 Education

Federico holds a Ph.D. in Engineering of Models, Machines, and Systems for Energy, Environment, and Transportation (expected in 2025). He has also earned a Master’s Degree (Level II) in Artificial Intelligence and Blockchain, an MBA (Level II) with honors, and a Master’s Degree in Management Engineering. Additionally, he is a certified engineer in both the Industrial and Information sectors. His educational foundation is further strengthened by a Bachelor’s Degree in Industrial and Management Engineering and a High School A-level diploma in Administration, Finance, and Marketing.

💼 Experience

Federico has extensive experience across multiple industries, including consultancy roles at Regione Liguria, Covim SPA, and OM3 Engineering SRL, where he optimized production processes and digital transformation strategies. His expertise in AI was further honed at Metakol S.r.l., where he trained AI models for insurance fraud detection and maritime forecasting. He has also served as a high school professor, teaching Mathematics, Computer Science, and Physics. His work spans market analysis, financial statement analysis, process optimization, and AI-driven solutions for industrial and healthcare applications.

🏆 Awards and Honors

Federico has been recognized for his academic excellence, securing 110/110 in his Master’s degrees and an MBA with honors (110 con lode/110). His innovative projects in Industry 4.0 and Healthcare AI have been acknowledged through publications in prestigious journals and conferences. His engineering and technological solutions have contributed to advancements in sustainable supply chains, hospital management, and industrial automation.

🔬 Research Focus

Federico’s research interests revolve around Industry 4.0, Artificial Intelligence, and Healthcare Systems. His work integrates IoT, Cyber-Physical Systems, and AI-driven predictive modeling to optimize industrial and medical processes. He has conducted bibliometric analyses on sustainable supply chains, developed AI models for maritime forecasting, and worked on Engineering 4.0 applications to combat hospital infections and enhance bed management systems.

🔎 Conclusion

Federico Briatore is a multidisciplinary expert in Industry 4.0, AI, and digital transformation, contributing both academically and professionally to technological advancements in healthcare and industrial sectors. His diverse research, consultancy, and teaching experiences make him a key figure in modern engineering and business innovations. 🚀

📖 Publications

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

Advanced 4.0 Bed Management System, embedded with IoT, Digital Twins, and Cyber-Physical System (2024) – TechRxiv

Personal Protective Equipment Management and Maintenance: An Innovative Project Conducted in a Major Italian Manufacturing Company (2023) – WSEAS Transactions on Systems

A Literature Review on Applied AI to Public Administration: Insights from Recent Research and Real-Life Examples (2023) – Book Chapter

An Application of Engineering 4.0 to Hospitalized Patients (2023) – SysInt 2022 Conference

Fighting Hospital Infections with Engineering 4.0 (2023) – SysInt 2022 Conference

Artificial Intelligence for Supporting Forecasting in the Maritime Sector (2022) – Summer School Francesco Turco Proceedings

Engineering Solutions 4.0 in the Fight Against the Spread of COVID-19 (2022) – Summer School Francesco Turco Proceedings