Prof. Dr. Yijui Chiu | Deep Learning | Best Innovation Award

Xiamen University of Technology, China

Prof. Dr. Yijui Chiu is a distinguished professor and doctoral supervisor specializing in mechanical engineering, with research spanning vibration, rotor dynamics, digital twin technology, deep learning, biomechanics, molecular dynamics, and applications in elderly assistive devices, semiconductor wafer equipment, and renewable energy vehicles. He has demonstrated exceptional strengths in integrating theoretical, computational, and experimental approaches, evidenced by his extensive contributions to rotor system dynamics, fault detection, and coupled vibration analysis. Dr. Chiu excels in interdisciplinary research, combining machine vision, AI, and digital twin frameworks to address complex engineering challenges, including thermo-elastic rotor coupling, flexible rotor systems, and smart exoskeleton control, reflecting his deep analytical and innovative skills. His leadership in guiding 28 funded projects, both national and industry-based, has fostered cross-strait innovation collaboration and produced a prolific output of 81 publications with 723 citations and an h-index of 16, highlighting his influence in mechanical engineering and related fields. Dr. Chiu’s research skills extend to experimental mechanics, finite element analysis, intelligent system design, machine learning applications, and multi-physics modeling, enabling practical solutions for energy systems, robotics, and industrial machinery. He has also cultivated a strong record of mentorship, supervising graduate students to national awards and doctoral programs at top institutions, reflecting his commitment to academic excellence and knowledge transfer. Areas for potential growth include expanding the application of his methodologies to broader industrial digital twin implementations, integrating renewable energy systems with AI-enhanced control, and exploring more advanced human-robot interaction systems for healthcare and manufacturing. Looking forward, Dr. Chiu has significant future potential to shape smart manufacturing, predictive maintenance, and sustainable mechanical systems by leveraging his interdisciplinary expertise and collaborative networks. His innovative contributions not only advance scientific understanding but also drive practical solutions with societal, industrial, and environmental impact, making him a highly deserving candidate for awards recognizing visionary achievements in engineering research and technology development.

Profiles: Scopus | ORCID

Featured Publications

Hong, W.-B., Chiu, Y.-J., & Yang, J.-Y. (2025). Analysis of double-column stacker structure. In Smart Innovation Systems and Technologies (Vol. 363, pp. 209–218). Springer.

Yao, Y.-H., & Chiu, Y.-J. (2025). Design of lifting equipment of wafer unmanned track carrier. In Smart Innovation Systems and Technologies (Vol. 362, pp. 195–204). Springer.

Gu, Y.-X., Chiu, Y.-J., & Li, M. (2025). Mechanism design of short-distance food transmission robot. In Smart Innovation Systems and Technologies (Vol. 362, pp. 171–182). Springer.

Chiu, Y.-J., Gu, Y.-X., Yang, C.-H., Jian, S.-R., & Chen, D. (2025). Numerical investigation of thermoelastically coupled vibrations of a rapidly rotating rigid-disk rotor system with a blade crack. Journal of Mechanical Science and Technology, 39, 1–14.

Chiu, Y.-J., Yao, Y.-H., Lin, C.-M., Dimitrov, D. Z., Juang, J.-Y., & Jian, S.-R. (2025, October). Unveiling the deformation behaviors of single-crystal LuVO4 using nanoindentation and finite element analysis. Results in Engineering, 18, 107668.

Prof. Dr. Yijui Chiu’s work integrates advanced rotor dynamics, digital twin technology, and AI-driven control systems to revolutionize mechanical engineering, enabling smarter, safer, and more efficient industrial machinery. His research advances scientific understanding while delivering practical solutions for energy, healthcare, and manufacturing industries, fostering global innovation and societal benefit.

Dr. Yunxiang Lu | neural network dynamics | Best Researcher Award

at Nanjing University of Posts and Telecommunications, China.

Dr. Yunxiang Lu is an accomplished scholar in Control Science and Engineering, currently pursuing a combined Master and Ph.D. program at the College of Automation and Artificial Intelligence at Nanjing University of Posts and Telecommunications, China. His research focuses on nonlinear dynamic systems, bifurcation theory, and the application of control systems in ecological and biological networks. Throughout his academic career, Yunxiang has demonstrated his proficiency through numerous publications in high-impact journals and participation in prestigious conferences. His work contributes significantly to the understanding of neural networks, eco-epidemiological systems, and cyber-physical systems. In addition, Yunxiang has industry experience as a technical engineer, applying advanced control theories in real-world projects like smart factories powered by 5G technology.

Profile

Scopus

ORCID

Education

Yunxiang Lu is currently pursuing a combined Master and Ph.D. degree in Control Science and Engineering at Nanjing University of Posts and Telecommunications. His studies cover diverse areas such as matrix theory, bifurcation of nonlinear dynamic systems, and adaptive control. Throughout his education, Yunxiang has excelled in courses like Image Analysis and Understanding, Nonlinear Systems and Chaos Control, and Optimization Methods, reflecting his deep understanding of advanced control theories. His exceptional academic performance includes top grades in Matrix Theory (100), Linear System Theory (95), and Image Analysis and Understanding (95), indicating his strong analytical and mathematical capabilities. His educational background equips him to analyze complex networks and systems, which are fundamental to his research in ecological competition networks and neural systems.

Experience

Yunxiang Lu has gained practical experience through his role as an IT Technical Engineer at China Telecom Corporation’s Nanjing Branch. In this position, he contributed to the 5G+MEC smart factory project, where he applied his knowledge in telecommunications and control systems to enhance smart factory operations. Yunxiang participated in developing a 5G+MEC virtual private network, integrating 5G wireless scanning guns and machine vision systems, which underscores his ability to apply cutting-edge technologies in real-world environments. In academia, Yunxiang presided over the Postgraduate Research and Practice Innovation Program of Jiangsu Province, leading research on bifurcation control in fractional-order ecological networks. His ability to balance academic research with practical engineering projects reflects his diverse expertise and versatility.

Research Interests

Yunxiang Lu’s research is primarily focused on control theory, bifurcation dynamics, and ecological and biological systems. He is particularly interested in the dynamical behavior of complex networks, such as ecological competition networks and neural networks, under various influences like fractional orders and time delays. His work explores how network topology and control strategies affect the stability and evolution of these systems. Yunxiang has also ventured into cyber-physical systems, investigating tipping points and bifurcation mechanisms in networks. His research aims to develop optimized control strategies for managing the dynamics of anomalous diffusion systems, which include neural networks and ecological competition networks, contributing to both theoretical advancements and practical applications in system stability and control.

Awards

Yunxiang Lu has received multiple prestigious awards for his academic excellence. In 2022, he was honored as an Excellent Graduate by Nanjing University of Posts and Telecommunications, a reflection of his outstanding performance throughout his Ph.D. program. He was also recognized as an Excellent Postgraduate in both 2021 and 2020, receiving second prizes in the university’s Postgraduate Academic Scholarship competition during those years. These accolades underscore his dedication to academic success and research excellence. Yunxiang’s continuous recognition over the years highlights his consistency and high academic standards, making him a standout student in the College of Automation and Artificial Intelligence.

Publications

Dr. Yunxiang Lu has contributed extensively to high-impact research in nonlinear systems and control theory. His key publications include:

“Stability and bifurcation exploration of delayed neural networks with radial-ring configuration and bidirectional coupling”, IEEE Transactions on Neural Networks and Learning Systems, 2023, in press.
- Cited by: 10
“A delayed eco-epidemiological competition network with reaction-diffusion terms: Tipping anticipation”, Applied and Computational Mathematics, 2023, accepted.
- Cited by: 7
“Hybrid control synthesis for Turing instability and Hopf bifurcation of marine planktonic ecosystems with diffusion”, IEEE Access, 2021, 9: 111326-111335.
- Cited by: 15
“Hopf bifurcation of biological competition network with independent non-cross propagation characteristics”, Complex System and Complexity Science, 2022, 19(1): 1-11.
- Cited by: 5

Conclusion

Yunxiang Lu, Ph.D., is a strong candidate for the Best Researcher Award, given his extensive contributions to the fields of control science, nonlinear systems, and neural network modeling. His technical expertise, research leadership, and publication record in high-impact journals demonstrate his commitment to advancing scientific knowledge. With a focus on expanding his research’s practical and interdisciplinary impact, he would be a highly deserving recipient of this award.

Yijui Chiu | Deep Learning | Best Innovation Award