Dongju Chen | Engineering | Best Researcher Award

Prof. Dongju Chen | Engineering | Best Researcher Award

university professor from Beijing University of Technology, China

Dongju Chen is a distinguished professor and doctoral supervisor at the College of Mechanical & Energy Engineering, Beijing University of Technology. With a Ph.D. in mechanical engineering from the University of Gombigne, France, and Harbin Institute of Technology, she has made significant contributions to precision machining and mechanical systems. She serves as an assistant director at the Institute of CNC Precision Machining Technology and has been recognized through multiple prestigious talent programs, including the “Rixin Talents” Training Program and the “Qingbai Talents” Hundred Talents Program. As a senior member of CMES, IEEE fellow, and Secretary of the Production Engineering Society of China, she plays a crucial role in advancing the field of mechanical engineering. Her research primarily focuses on ultra-precision machine tools, micro-nano processing, and hydrostatic spindle mechanics. She is an esteemed reviewer for several high-impact journals and an active participant in national research initiatives. Dongju Chen has authored numerous influential publications, contributing to advancements in manufacturing technology and precision machining.

Professional Profile

Education

Dongju Chen holds a Ph.D. in mechanical engineering, earned through a joint program between the University of Gombigne in France and Harbin Institute of Technology in China. This dual-degree program provided her with an extensive foundation in advanced mechanical systems and manufacturing technologies. Her academic journey has been instrumental in shaping her expertise in ultra-precision machining, fluid mechanics, and micro-nano-scale processing. The rigorous training at these prestigious institutions equipped her with a deep understanding of both theoretical and applied aspects of mechanical engineering. Throughout her education, she actively engaged in research projects that explored error identification in machine tools and the influence of micro-scale fluids on machining performance. Her commitment to academic excellence led to numerous collaborations with international research teams and further strengthened her expertise in manufacturing technology.

Professional Experience

Dongju Chen has had a remarkable professional career, contributing significantly to academia and research in mechanical engineering. Since completing her Ph.D. in 2010, she has been a faculty member at Beijing University of Technology, serving as a professor and doctoral supervisor at the College of Mechanical & Energy Engineering. She is also an assistant director at the Institute of CNC Precision Machining Technology, where she leads research on precision machining techniques. Throughout her career, she has held key positions in professional societies, including Secretary of the Production Engineering Society of China and a senior CMES member. As a recognized expert, she has contributed to evaluating research projects for institutions like the National Natural Science Foundation of China and the Zhejiang Natural Science Foundation. Her role as a reviewer for prestigious journals, such as the Journal of Manufacturing Science and Technology (JMST) and Measurement and Advanced Manufacturing Technology (AMT), further highlights her influence in the field.

Research Interests

Dongju Chen’s research is centered on precision machining, ultra-precision machine tools, and fluid-structure interactions in mechanical systems. She is particularly interested in error identification and detection technologies for ultra-precision machine tools, investigating the dynamic behavior of hydrostatic spindles and their interactions with micro-scale fluids. Another key area of her research focuses on the influence of micro-nano-scale fluid mechanics on the performance of machine tool components. Additionally, her studies extend to the dynamic contact mechanisms of hydrostatic spindle-solid coupling under the influence of slip, contributing to enhanced machining accuracy and efficiency. She has also explored micro-nano-scale processing techniques and their implications in advanced manufacturing. Her work plays a crucial role in improving machining precision, enhancing industrial manufacturing processes, and developing innovative solutions for high-precision engineering applications.

Research Skills

Dongju Chen possesses a diverse set of research skills that have enabled her to make substantial contributions to mechanical engineering. Her expertise includes numerical simulation techniques, computational fluid dynamics (CFD), and finite element analysis (FEA) to study machining processes at micro and nano scales. She has extensive experience in error identification and detection methodologies, crucial for optimizing the performance of ultra-precision machine tools. Additionally, her skills in molecular dynamics simulations allow her to investigate the rheological performance of lubricant oils in machining applications. Her proficiency in tribology, hydrostatic spindle mechanics, and fluid-structure interactions further strengthen her research capabilities. Beyond computational methods, she has expertise in experimental techniques for evaluating spindle dynamics and machining accuracy. Her interdisciplinary approach, combining theoretical modeling with experimental validation, has been instrumental in advancing precision machining technologies.

Awards and Honors

Dongju Chen has received several prestigious awards in recognition of her contributions to mechanical engineering. She was selected for the “Rixin Talents” Training Program of Beijing University of Technology in 2012, highlighting her exceptional research potential. In 2016, she was honored as a “New Star of Science and Technology” in Beijing, acknowledging her impact on technological advancements in manufacturing. The same year, she was inducted into the “Qingbai Talents” Hundred Talents Program of Beijing University of Technology, further solidifying her status as a leading researcher in the field. Her contributions have also been recognized through memberships in esteemed professional societies, including IEEE fellowship and senior membership in CMES. Her publications in top-tier journals have received widespread acclaim, further affirming her influence and expertise in precision machining and advanced manufacturing technologies.

Conclusion

Dongju Chen is a highly accomplished researcher and professor in the field of mechanical engineering, with a strong focus on ultra-precision machining and fluid-structure interactions. Her contributions to research, education, and professional organizations have positioned her as a leading expert in precision engineering. Through her extensive academic background, numerous publications, and leadership roles, she has significantly influenced the development of advanced manufacturing technologies. Her commitment to innovation and excellence continues to drive progress in the field, making her a valuable asset to both academia and industry. As a mentor and educator, she plays a vital role in shaping the next generation of engineers, ensuring the continued advancement of precision machining technologies.

Publication Top Notes

  1. A study of the influence of speed effect on the kinematic behavior of aerostatic spindles

    • Authors: D. Chen, X. Du, J. Fan, K. Sun, H. Wang
    • Year: 2025
  2. Study on the mechanism of correlation between surface quality and tissue properties of Ti6Al4V alloy formed by selective laser melting

    • Authors: D. Chen, G. Li, P. Wang, Y. Tang
    • Year: 2025
  3. Optimization of multi-axis laser shock peening process for nickel alloy components based on workpiece curvature and equipment dynamic performance

    • Authors: R. Pan, Y. Xing, R. Wang, K. Sun, P. Gao
    • Year: 2024
  4. The tribological properties of nano-lubricants and their application on bearings: recent research progress

    • Authors: J. Li, D. Chen, H. Zhang, J. Fan, Y. Tang
    • Year: 2024
    • Citations: 2
  5. Tool inclination angle designing for low-deformation and high-efficiency machining of thin-wall blade based on edge-workpiece-engagement

    • Authors: D. Chen, S. Wu, J. Wu, J. Fan, Y. Tang
    • Year: 2024
  6. A systematic review of micro-texture formation based on milling: from mechanism, existing techniques, characterization to typical applications

    • Authors: Z. Jiang, D. Chen, K. Sun, J. Fan, Y. Tang
    • Year: 2024
  7. Coupling effect of partial composite texture and thermal effect on the performance of hydrostatic bearing

    • Authors: D. Chen, Y. Cui, K. Sun, J. Fan, K. Cheng
    • Year: 2024
  8. Ball-end milling stability and force analysis in the presence of inclination angles through a new algorithm with numerical chip thickness in edge-workpiece engagement

    • Authors: S. Wu, D. Chen, J. Fan, Y. Tang
    • Year: 2024
  9. Unbalanced vibration suppressing for aerostatic spindle using sliding mode control method and piezoelectric ceramics

    • Authors: D. Chen, X. Zhang, H. Wang, J. Fan, D. Liang
    • Year: 2024
  10. Analysis of the impact of graphene nano-lubricating oil on thermal performance of hydrostatic bearing

  • Authors: D. Chen, Y. Zhao, K. Sun, R. Pan, J. Fan
  • Year: 2024
  • Citations: 2

Tran Thi Bich Chau Vo | Engineering | Innovation Excellence Award

Ms. Tran Thi Bich Chau Vo | Engineering | Innovation Excellence Award

Ph.D Candidate of National Kaohsiung University of Science and Technology, Taiwan.

Tran Thi Bich Chau Vo is a lecturer at Can Tho University, Vietnam, specializing in Industrial Engineering and Management. She has a diverse professional background, including her role as Head of Research and Development at Thanhcong Textile Garment Investment Trading JSC and as a staff member at Garment Fashion Limited. Currently pursuing a Ph.D. at the National Kaohsiung University of Science and Technology in Taiwan, her research focuses on improving process efficiency through workflow reengineering and value stream mapping. She holds a Master’s degree in Industrial and Systems Engineering and a Bachelor’s in Garment Technology and Fashion. Tran has expertise in lean manufacturing, production planning, and optimization, contributing to various research projects and publications. Her work has been recognized in fields such as waste management, aquaculture, and smart manufacturing. Additionally, she has served as a reviewer for international journals and participated in multiple research grants.

Profile

Education

Tran Thi Bich Chau VO is currently pursuing her Ph.D. in Industrial Engineering and Management at the National Kaohsiung University of Science and Technology, Taiwan, with an expected completion date in December 2024. Her Ph.D. research focuses on enhancing processing efficiency through workflow process reengineering, simulation, and value stream mapping. Prior to this, she earned a Master of Engineering in Industrial and Systems Engineering from the Ho Chi Minh City University of Technology, Vietnam National University, in 2014. Her master’s thesis investigated the effects of lean manufacturing on a garment production line. She also holds a Bachelor of Engineering in Garment Technology and Fashion from Ho Chi Minh City University of Technology and Education, which she completed in 2011. Her undergraduate thesis explored improved patterns for production processes. Tran Thi Bich Chau VO’s educational background demonstrates her expertise in industrial management and lean manufacturing practices, positioning her well for academic and industrial leadership.

Professional Experience

Tran Thi Bich Chau VO is a dedicated academic and industry professional with extensive experience in both academia and industrial management. Since August 2014, she has been a Lecturer at the Faculty of Industrial Management at Can Tho University in Vietnam, where she has focused on educating students in production planning, lean manufacturing, and facility layout. Prior to her academic role, she held significant industry positions, including Head of the Research & Development Department at Thanhcong Textile Garment Investment Trading Joint Stock Company from 2012 to 2014. She also worked as a staff member in the Work Study Department at Garment Fashion Limited, honing her skills in industrial systems and operations management. Her professional journey reflects a strong background in industrial engineering and management, with practical experience in improving production efficiency and applying lean methodologies in various sectors.

Research Interest

Tran Thi Bich Chau VO’s research interests focus on industrial engineering, lean manufacturing, and supply chain optimization. She has a keen interest in improving processing efficiency through techniques like workflow process reengineering, value stream mapping, and simulation modeling. Her work primarily explores lean production technologies in various industries, including garment manufacturing, aquaculture processing, and fishery product supply chains. Additionally, she is passionate about environmental sustainability, evidenced by her research on green waste management, smart manufacturing, and material flow cost accounting. Tran has also contributed significantly to digital transformation, particularly in developing digital twin platforms for smart agents in manufacturing. Her research endeavors highlight a strong focus on enhancing operational productivity while reducing waste, aligning with both industrial and environmental goals. Through her academic and practical projects, she aims to bridge the gap between theoretical frameworks and real-world applications, driving innovation in industrial management and sustainable development.

Research Skills

Tran Thi Bich Chau VO demonstrates a wide range of research skills, particularly in industrial engineering, workflow optimization, and lean manufacturing. Her expertise includes the use of advanced simulation tools like Arena, Matlab, Lingo, and Minitab, which she applies to reengineering processes and improving efficiency. Her research projects, such as value stream mapping and genetic algorithm-based optimization, highlight her ability to solve complex problems in supply chain management and production systems. Additionally, her proficiency in interdisciplinary areas like aquaculture and environmental management, evidenced by her work on material flow cost accounting and green waste management, showcases her versatility. She has contributed to numerous publications in top journals, further emphasizing her ability to conduct impactful research. Her skills in reviewing scientific papers and her involvement in international research collaborations reflect her strong analytical capabilities and dedication to advancing both academic and practical applications in industrial engineering.

Award and Recognition

Tran Thi Bich Chau VO has garnered significant recognition for her contributions to industrial engineering, particularly in the fields of workflow process reengineering, simulation, and value stream mapping. She has served as a lead researcher on numerous projects, such as improving the efficiency of Pangasius fillet production and optimizing supply chains in Vietnam’s aquaculture industry. Her expertise has led to her publications being featured in prestigious journals, including Business Process Management Journal, Engineering Management Journal, and Aquaculture. In addition to her academic achievements, Tran Thi Bich Chau has actively contributed to industrial innovations, particularly in the implementation of lean production technologies in various companies. Her role as a reviewer for well-known journals further highlights her standing in the research community. Tran Thi Bich Chau’s leadership in research projects and extensive publication record exemplify her as an innovative and influential figure in industrial engineering and supply chain management.

Conclusion

Tran Thi Bich Chau VO is a strong candidate for the Research for Innovation Excellence Award. Her leadership in innovative projects, extensive research contributions, and interdisciplinary expertise position her well for this honor. Expanding her research into cutting-edge technologies and gaining broader international recognition could further solidify her candidacy.

Publication Top Notes

  1. A comprehensive review of aeration and wastewater treatment
    • Authors: N.T. Nguyen, T.S. Vo, P.L. Tran-Nguyen, K. Kim, T.T.B.C. Vo
    • Year: 2024
    • Citations: 0
  2. A comprehensive review of laser processing-assisted 2D functional materials and their specific applications
    • Authors: T.S. Vo, B. Jeon, V.P.T. Nguyen, T.T.B.C. Vo, K. Kim
    • Year: 2024
    • Citations: 0
  3. Recent Trends of Bioanalytical Sensors with Smart Health Monitoring Systems: From Materials to Applications
    • Authors: T.S. Vo, T. Hoang, T.T.B.C. Vo, V.H. Nguyen, K. Kim
    • Year: 2024
    • Citations: 3
  4. Advances in aeration and wastewater treatment in shrimp farming: emerging trends, current challenges, and future perspectives
    • Authors: N.T. Nguyen, P.L. Tran-Nguyen, T.T.B.C. Vo
    • Year: 2024
    • Citations: 1
  5. Improving processing efficiency through workflow process reengineering, simulation and value stream mapping: a case study of business process reengineering
    • Authors: C.-N. Wang, T.T.B.C. Vo, H.-P. Hsu, N.T. Nguyen, N.-L. Nhieu
    • Year: 2024
    • Citations: 0
  6. Improvement of Manufacturing Process Based on Value Stream Mapping: A Case Study
    • Authors: C.-N. Wang, T.T.B.C. Vo, Y.-C. Chung, Y. Amer, L.T. Truc Doan
    • Year: 2024
    • Citations: 0
  7. Optimal microgrid design and operation for sustainable shrimp farming
    • Authors: N.N. Tien, V.T.T.B. Chau, P.V. Hoan
    • Year: 2023
    • Citations: 0
  8. Risk priority and risk mitigation approach based on house of risk: A case study with aquaculture supply chain in Vietnam
    • Authors: N.T.L. Thuy, V.T.T.B. Chau, H.T. Phong, T.T. Tham
    • Year: 2023
    • Citations: 0
  9. Optimizing New Product Development through a Systematic Integration of Design for Six Sigma (DFSS) and Theory of Inventive Problem Solving (TRIZ)
    • Authors: Y. Amer, L.T.T. Doan, T.T.B.C. Vo
    • Year: 2023
    • Citations: 0
  10. Improving Inventory Time in Production Line through Value Stream Mapping: A Case Study
    • Authors: N.T. Nguyen, T.T.B.C. Vo, P.H. Le, C.-N. Wang
    • Year: 2023
    • Citations: 2