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

 

Prof. Annalina Sarra | Integration | Best Research Award

Prof. Annalina Sarra | Integration | Best Research Award

University “G.d’Annunzio” of Chieti-Pescara, Italy

Annalina Sarra is an accomplished Associate Professor of Statistics at the University “G. d’Annunzio” of Chieti-Pescara . With over two decades of experience in academia and research, she is widely recognized for her contributions to spatial models, functional data analysis, and Bayesian methods. Her scholarly journey is marked by deep engagement in national and international projects spanning the fields of environment, education, and social sciences. Passionate about teaching innovation and scientific dissemination, she brings a vibrant mix of academic rigor and creativity to both the classroom and her research endeavors. 🌍📊

Publication Profile

🎓 Education Background

Annalina Sarra earned her Ph.D. in Statistics from the University “G. d’Annunzio” in 2003 🎓, following her MSc in Economics and Commerce from the same university with full marks (110/110) 🏅. She also enriched her academic path as a visiting student at the University of Lancaster, UK, in 2001 🇬🇧, where she cultivated an international perspective in statistical methodologies.

💼 Professional Experience

Currently serving as an Associate Professor (since 2023), Annalina has been part of the University “G. d’Annunzio” since 2005. She advanced from Postdoctoral Research Fellow to Tenure-Track Researcher (RTD-B) between 2005 and 2023. Her teaching portfolio includes a wide range of courses such as Marketing Statistics, Statistics of Education, and Introduction to R, reflecting her dedication to applied and theoretical aspects of statistics 📚👩‍💻.

🏆 Awards and Honors

She holds dual National Academic Qualifications as Associate Professor in both Statistics (13/D1) and Demography & Social Statistics (13/D3), valid until 2027 🏅. These qualifications underscore her scholarly excellence and recognized expertise in her fields.

🔬 Research Focus

Annalina’s research interests span functional data analysis, spatial and spatio-temporal models, IRT and multilevel models, hierarchical Bayesian approaches, and machine learning techniques such as topic mining 🤖. She is especially engaged in research around educational assessment and analyzing dropout risks using advanced statistical tools. Her involvement in projects like ENCLOSE, TOLERANT, and Boost for Excellence highlights her contribution to contemporary issues like online hate, educational inequality, and social analysis.

🔚 Conclusion

With over 100 publications, a dynamic teaching profile, and a solid footprint in collaborative research, Annalina Sarra stands out as a key figure in statistical research and pedagogy in Italy and beyond 🌐📈. Her work continues to shape the fields of applied statistics and education through innovation, impact, and inclusivity.

📚 Top Publications 

High dimensional variable selection through group Lasso for multiple function-on-function linear regression: A case study in PM10 monitoring
Published in: Environmetrics, 2025
Cited by: 1

How do we study misogyny in the digital age? A systematic literature review using a computational linguistic approach
Published in: Computers in Human Behavior, 2024
Cited by: 8

A Functional approach for constructing dynamic Composite Indicators
Published in: Statistical Methods and Applications, 2024
Cited by: 0

Looking for patterns of change amid pandemic period in students’ evaluation of academic teaching
Published in: Quality and Quantity, 2023
Cited by: 2