Rongshun Chen | Engineering and Technology | Best Researcher Award

Published on by Research Hypothesis

Prof. Rongshun Chen | Engineering and Technology | Best Researcher Award

Prof. Rongshun Chen | Engineering and Technology | Best Researcher Award | Professor | National Tsing Hua University | Taiwan 

Prof. Rongshun Chen is a distinguished academic and accomplished researcher in the field of mechanical and power engineering, currently serving as a Professor in the Department of Power Mechanical Engineering at National Tsing Hua University, Hsinchu, Taiwan. Prof. Chen obtained his Bachelor of Science degree in Mechanical Engineering from the National Taiwan University of Science and Technology, followed by a Master of Science in Power Mechanical Engineering from National Tsing Hua University, and subsequently earned his Doctor of Philosophy in Mechanical Engineering from the University of Michigan, Ann Arbor, USA. Throughout his extensive academic career, Prof. Chen has made significant contributions to the advancement of robotics, control systems, and thermal management technologies, with a focus on developing intelligent sensing mechanisms, adaptive control, and mechatronic system integration. His research interests encompass robotics navigation, sensor technology, deep learning applications in thermal management, and micro-electromechanical systems (MEMS) design. Prof. Chen’s expertise extends across several domains of applied mechanics and computational modeling, enabling the development of efficient systems for industrial automation and energy-efficient engineering applications. His professional experience includes mentoring numerous graduate students, leading innovative research projects, and collaborating with interdisciplinary teams on global initiatives that bridge academia and industry. Prof. Chen has consistently demonstrated outstanding research skills in designing hybrid solvers for multi-agent motion control, developing dual-mode tactile sensors, and implementing deep learning models for predictive thermal management in data centers. His scholarly work has been published in high-impact journals and presented at major international conferences such as IEEE and Elsevier platforms, earning recognition for scientific rigor and innovation. A committed educator and leader, Prof. Chen is also an active member of the IEEE and has served in multiple academic and technical committees, contributing to the broader engineering research community. He has received numerous honors for his outstanding teaching and research achievements and continues to inspire through his leadership in robotics and thermal control engineering. Prof. Rongshun Chen’s career embodies the synergy of technical mastery, visionary thinking, and a lifelong dedication to advancing engineering science for societal benefit. His academic influence, publication record, and international collaborations firmly establish him as a leading scholar committed to advancing the future of intelligent mechanical systems and sustainable innovation through research excellence and mentorship.

Profile: Scopus | Google Scholar

Featured Publications

  1. Chen, R. (2022). Wearable and wireless performance evaluation system for sports science with an example in badminton. Scientific Reports. 7 citations.

  2. Chen, R. (2023). A Dual Spiral-Coils Tactile Sensor with Novel Driving Modes for Inductive Force and Capacitive Proximity Sensing. Conference Paper. 3 citations.

  3. Chen, R. (2023). Implementation of a Monolithic SoC Environmental Sensing Hub Using CMOS-MEMS Technique. Conference Paper. 1 citation.

  4. Chen, R. (2023). Collision-Free Navigation for Multiple Robots in Dynamic Environment. Conference Paper. 2 citations.

  5. Chen, R. (2023). Rack Inlet Temperature Prediction Based on Deep Learning. Conference Paper. 5 citations.

  6. Chen, R. (2023). A Dual Sensing Modes Capacitive Tactile Sensor for Proximity and Tri-Axial Forces Detection. Conference Paper. 12 citations.

 

Lin Hua | Engineering and Technology | Excellence in Innovation Award

Published on by Research Hypothesis

Assoc. Prof. Dr. Lin Hua | Engineering and Technology | Excellence in Innovation Award

Assoc. Prof. Dr. Lin Hua | Engineering and Technology | Deputy Director | School of Naval Architecture | China 

Assoc. Prof. Dr. Lin Hua is a distinguished scholar in the field of marine engineering and structural integrity research. Her work focuses on understanding and predicting the fatigue life of marine structures under corrosive environments. With a strong academic foundation and a commitment to advancing engineering safety, she has become a recognized name for her contributions to pitting corrosion analysis and continuum damage mechanics modeling. Her research aims to bridge the gap between theoretical modeling and industrial applications, thereby improving the design, maintenance, and operational reliability of marine structures.

Professional Profile 

Education

Assoc. Prof. Dr. Lin Hua earned her doctoral degree in structural engineering from a leading university, where she developed expertise in continuum damage mechanics, fatigue analysis, and advanced computational modeling. Her educational background is complemented by rigorous research training, participation in collaborative projects, and specialized courses in marine structural health monitoring. This academic preparation laid the foundation for her groundbreaking work in fatigue crack initiation life prediction and pit morphology quantification.

Experience

Assoc. Prof. Dr. Lin Hua currently serves as an Associate Professor and leads several research initiatives focused on marine structural reliability. She has successfully collaborated with global research institutes, shipbuilding companies, and offshore engineering organizations to develop practical methodologies that improve the safety and performance of critical structures. Her extensive teaching portfolio includes mentoring graduate students and supervising doctoral dissertations, helping nurture the next generation of researchers. In addition, she has served on technical committees, participated in peer-review processes for high-impact journals, and contributed to the organization of international symposia on marine engineering.

Research Interest

Her primary research interests include fatigue life assessment of marine structures, pitting corrosion modeling, structural health monitoring, and life extension strategies for offshore platforms. She integrates theoretical modeling with computational techniques to predict fatigue crack initiation life under complex environmental conditions. Her recent work explores pit morphology parameters—size, shape, irregularity, and spacing—and their effects on structural integrity. By developing reliable mapping models and efficient numerical approaches, she provides industry stakeholders with actionable solutions to reduce maintenance costs, improve safety, and optimize lifecycle management.

Award

Assoc. Prof. Dr. Lin Hua has been recognized for her innovative contributions through institutional and international awards in the field of structural engineering and marine research. Her achievements include excellence awards for research impact, commendations for collaborative projects, and invitations to serve as a reviewer and advisor for prestigious journals. These accolades underscore her role as a leading researcher committed to advancing knowledge and delivering real-world engineering solutions.

Selected Publication

  • “Theoretical Mapping Model for Pit Morphology Parameters and Fatigue Crack Initiation Life” (Published: 2023, Citations: 45)

  • “Continuum Damage Mechanics-Based Numerical Approach for Marine Structure Life Assessment” (Published: 2022, Citations: 39)

  • “Multi-Factor Quantification of Pit Morphology and Its Effect on Fatigue Life” (Published: 2022, Citations: 31)

  • “Rapid Fatigue Life Prediction of Offshore Structural Components under Corrosive Conditions” (Published: 2021, Citations: 28)

Conclusion

Assoc. Prof. Dr. Lin Hua stands out as a pioneering researcher whose work addresses critical challenges in marine engineering and structural health assessment. Her integration of theoretical modeling, computational techniques, and practical validation has advanced understanding of fatigue life under corrosive conditions, providing a framework for safer marine operations. With a proven record of impactful publications, international collaborations, and mentorship, she continues to shape the future of structural engineering. Her dedication to bridging academic research with industrial application makes her a highly deserving candidate for prestigious awards, and her future research promises to further strengthen global standards in marine structural integrity and safety.