Jiankang Wang | Intelligent Manufacturing | Best Researcher Award

Published on by Computer Scientists Awards

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

 

JINHO CHA | Operations Management | Best Researcher Award

Published on by Computer Scientists Awards

Dr. JINHO CHA | Operations Management | Best Researcher Award

Dr. JINHO CHA , Adjunct Faculty, Gwinnett Technical College, United States.

Dr. Jinho Cha is an accomplished academic and researcher with a strong foundation in industrial engineering and computer science. He currently serves as an Adjunct Faculty member in the Department of Computer Science at Gwinnett Technical College, GA, USA. With a Ph.D. from Clemson University, his career spans teaching, research leadership, and applied data science across military and academic sectors. His research projects focus on leveraging AI, smart contracts, and data-driven optimization to address real-world problems. Dr. Cha’s cross-disciplinary expertise bridges technical innovation and practical application, significantly contributing to educational innovation, defense analytics, and public health systems.

Publication Profile

Scopus

ORCID

Google Scholar

🎓 Education Background

Dr. Cha holds a Ph.D. in Industrial Engineering from Clemson University (2015), where his dissertation focused on truncated normal distributions. Prior to this, he earned two master’s degrees—one in Industrial Engineering (Operations Research) from the University of Florida (2012), and another in Industrial Engineering (Quality & Statistics) from Texas A&M University (2007). His academic journey began at the Korea Military Academy, where he earned his B.S. in Electronic Engineering in 1999. This diverse educational foundation underpins his strong analytical skills and interdisciplinary approach in solving complex engineering and data challenges.

💼 Professional Experience

Dr. Cha currently serves as an Adjunct Faculty in Computer Science at Gwinnett Technical College, where he also leads innovative research programs. Previously, he was a Data Scientist and analytics leader at the Korea Research Institute for Defense Technology, applying AI and statistical methods to military logistics and R&D. From 2017 to 2021, he was an Assistant Professor at the Korea Military Academy, delivering mathematics and engineering courses with top-rated evaluations. Earlier, he was a Teaching Assistant at Clemson University, enhancing his instructional depth. His professional roles reflect a blend of academia, applied research, and technical leadership.

🏅 Awards and Honors

Dr. Cha has received multiple prestigious recognitions for his service and contributions. In 2025, he was honored with the Presidential Commendation for enhancing national defense capabilities. In 2023, he earned the Ministerial Commendation for his work in logistics requirements, and in 2019, the Chief of Staff Commendation acknowledged his role in Army innovation. His 2017 Chairman of the Joint Chiefs of Staff Commendation highlighted his impactful data analysis work. These accolades affirm Dr. Cha’s excellence in combining research, technology, and public service for national and educational advancement.

🔬 Research Focus

Dr. Cha’s research spans Supply Chain Management, Smart Contracts, Operations Research, and Machine Learning, with deep specialization in statistical modeling under uncertainty. His current efforts include AI-driven educational platforms, healthcare policy analytics, and blockchain applications in procurement systems. His publications explore topics like airline scheduling, inverse optimization, and deep learning for diagnostics. Dr. Cha also leads open-source development to democratize computing education, especially in two-year colleges. He integrates theory with practice, using data science to innovate across industries—from national defense logistics to public health outcomes and smart education tools.

🔚 Conclusion

With a career marked by cross-sector impact and academic excellence, Dr. Jinho Cha stands out as a dynamic leader in applied research and education. He merges technical expertise with a mission-driven approach, advancing innovations in data analytics, smart systems, and digital learning environments. His contributions have garnered recognition at the national level and left a significant mark on military analytics, computer science education, and global health research. Dr. Cha’s interdisciplinary reach and vision for equitable access to technology underscore his value as both a scholar and a changemaker in the digital age.

📚 Top Publications 

  1. Mobile Banking Customer Satisfaction and Loyalty: The Roles of Technology Readiness
    Journal: Journal of Risk and Financial Management, 2025
    Cited by: 2 articles

  2. A study on developing ROK ammunition container
    Journal: Journal of Korea Academia-Industrial Cooperation Society, 2024
    Cited by: 1 article

  3. A study on recognition of Korea armed forces nursing academy
    Journal: Journal of Korea Academia-Industrial Cooperation Society, 2023
    Cited by: 0 articles

  4. Methodology of AI learning model construction for intelligent coastal surveillance
    Journal: Journal of Korea Internet Computing and Service, 2022
    Cited by: 3 articles

  5. Big data analysis to derive improvement direction for military mental force education
    Journal: Journal of Korea Spiritual & Mental Force Enhancement, 2021
    Cited by: 4 articles

  6. Future tactical communication system development plan through Army TIGER information distribution capability analysis
    Journal: Journal of Korea Convergence Security Association, 2021
    Cited by: 2 articles

  7. Convolutions of truncated normal and truncated skew normal distributions
    Journal: Journal of Statistical Theory and Practice, 2017
    Cited by: 15 articles

  8. Zipping and re-zipping methods to improve precision and accuracy of manufacturing processes
    Journal: International Journal of Experimental Design and Process Optimization, 2015
    Cited by: 9 articles

  9. Rethinking the truncated normal distribution
    Journal: International Journal of Experimental Design and Process Optimization, 2013
    Cited by: 18 articles