Junyu Li | Engineering | Best Researcher Award

Dr. Junyu Li | Engineering | Best Researcher Award

Dr. Junyu Li | Huazhong University of Science and Technology | China

Dr. Junyu Li is an accomplished engineer whose career has been devoted to advancing the control of mechanical vibrations and mitigating noise through cutting-edge materials and acoustic designs. Their work stands at the intersection of engineering innovation and practical application, especially in underwater acoustics and metamaterial-based noise control. Driven by a pursuit of both fundamental understanding and impactful outcomes, Li has combined theoretical insight with experimental verification to develop solutions that address longstanding challenges in acoustic insulation. Known for a collaborative spirit and a clear vision, Li’s contributions span laboratory prototypes to peer-reviewed studies that have resonated within the scientific community. This profile reflects a professional deeply committed to excellence, interdisciplinary collaboration, and the transformative potential of intelligent acoustic control.

Profile

Orcid

Education

Dr. Junyu Li earned the highest degree in engineering, focusing on intelligent approaches to controlling mechanical vibration and noise, as well as acoustic metamaterials and underwater acoustics. Their academic path integrated rigorous coursework, advanced theoretical training, and hands-on experimental work in acoustics engineering. From foundational studies through doctoral research, Li mastered methods of designing and analyzing metamaterial structures, acoustic insulation devices, and underwater wave control systems. This educational journey fostered not only technical depth but also creative problem-solving skills, nurturing the ability to design novel materials with tailored acoustic properties. Such preparation underpins Li’s capacity to contribute both to the scientific literature and to practical engineering applications.

Experience

Dr. Junyu Li has engaged in diverse roles that merge research, teaching, and engineering design. They have led laboratory projects exploring the behavior of rubber-based membranes, vibration-based phononic structures, and shaped mass-loaded metamaterials. Collaborating with colleagues from materials science, mechanical engineering, and acoustics, Li has developed prototypes and conducted experimental validations that have informed both academic publications and inventive solutions. Their experience includes presenting findings at conferences, supervising student researchers, and guiding experimental setups across interdisciplinary teams. Through these experiences, Li has cultivated strong leadership, clear communication, and the ability to translate complex acoustic theories into functional designs that advance both knowledge and practical outcomes.

Research Interests

Dr. Junyu Li’s primary research interests center on intelligent control of mechanical vibration and noise through acoustic metamaterials, with particular emphasis on membrane-based designs, phononic crystal structures, and underwater acoustics. They explore how particle-reinforced membranes can enhance transmission loss, how composite vibrator arrays can yield predictable band gaps, and how mass-loaded membranes of varied shapes and densities can improve sound insulation. Li is motivated by the challenge of engineering materials that can selectively block or attenuate sound in targeted frequency ranges while maintaining structural feasibility and adaptivity to dynamic environments. This line of inquiry holds promise for quieter machinery, stealthier underwater platforms, and noise mitigation systems that are both efficient and tunable.

Publication Top Notes

Hypothesis of Polymer Molecular Networks: Predicting Underwater Mechano-Acoustic Properties

Journal: International Journal of Mechanical Sciences
Authors: Jun-Yu Li,  Jia-xuan Wang, Zhuang Li, Qi-Bai Huang, Zhi-Fu Zhang

A Cross-Scale Acoustic Computational Approach for Micro-Macro Mode Mapping to Facilitate the Development of High-Performance Underwater Two-Phase Composites

Journal: Journal of Materials Research and Technology
Authors: Jun-Yu Li, Qi-Bai Huang

Theory and Optimization of Double-Walled Carbon Nanotube Reinforced Rubber Composites for Underwater Sound Absorption

Journal: Results in Engineering
Authors: Junyu Li, Xiaomeng Li, Siyang Li, Shande Li, Zhifu Zhang

Optimization Design of Multi-Blade Centrifugal Fan Based on Variable Weight PSO-BP Prediction Model and Multi-Objective Beluga Optimization Algorithm

Journal: Applied Sciences
Authors: Wenyang Jin, Jiaxuan Wang, Junyu Li, Ren Xu, Ming Zhou, Qibai Huang

Sound Insulation Prediction and Band Gap Characteristics of Four Vibrators Acoustic Metamaterial with Composite Phononic Crystal Structure

Journal: Materials Today Communications
Authors: Junyu Li, Xiaowen Wu, Chenlin Wang, Qibai Huang

Conclusion

Dr. Junyu Li’s career embodies a rare combination of theoretical depth, innovative experimentation, and practical relevance in the field of acoustic metamaterials and noise control. Through a comprehensive educational foundation, diversified experience, and a clear research vision, Li has produced scholarly work that not only advances fundamental understanding but also points toward real-world engineering applications. Their publications reflect a consistent trajectory of originality, technical rigor, and interdisciplinary impact. Awarding Dr. Li would recognize not just past achievements but also the potential for continued leadership in developing intelligent acoustic materials that address critical challenges in mechanical vibration, noise mitigation, and underwater acoustics. Their trajectory merits such recognition and support as they continue to shape the future of acoustic engineering.

Haowei Zhang | Engineering | Best Researcher Award

Dr. Haowei Zhang | Engineering | Best Researcher Award

Ph.D student, The University of Hong Kong, Hong Kong.

👨‍🔬 Haowei Zhang is a dynamic researcher specializing in structural health monitoring, concrete structure damage detection, and computer vision-based bridge Weight-In-Motion (WIM) systems. With a Ph.D. in progress at The University of Hong Kong, he has made significant contributions through cutting-edge research and impactful publications in top-tier journals. Haowei’s work spans deep learning, machine learning, and advanced imaging techniques for infrastructure health assessment, making him a standout researcher in civil engineering.

Profile

Google Scholar

Education 🎓

Dr. Haowei Zhang is a current Ph.D. student in Civil Engineering at The University of Hong Kong, under the supervision of Prof. Ray Kai Leung Su. His doctoral research builds on his expertise in bridge safety performance and vehicle non-contact weigh-in-motion (WIM) technology. He holds a Master’s degree in Civil Engineering from Southeast University, where he focused on the safety performance of bridges, supervised by Prof. Gang Wu and Prof. Kang Gao. Prior to that, he earned his Bachelor’s degree from Northeastern University in China, with a thesis on experimental building design supervised by Prof. Zhechao Wang. During his undergraduate studies, he also attended a summer training program at the University of Oxford, where he explored micromechanics and its applications in liquid metal 3D printing.

Experience 💼

Dr. Haowei Zhang is currently pursuing a Ph.D. in Civil Engineering at The University of Hong Kong, supervised by Prof. Ray Kai Leung Su. He holds a Master’s degree in Civil Engineering from Southeast University, where his research focused on vehicle non-contact weigh-in-motion (WIM) technology and the safety performance of bridges. Additionally, he earned his Bachelor’s degree from Northeastern University, specializing in experimental building design.

Professionally, Dr. Zhang serves as a Junior Researcher at Dongqu Intelligent Transportation Infrastructure Technology (2023-present), where he contributes to the development of computer vision models and equipment for transportation infrastructure. He has also led research projects on bridge monitoring, concrete structure damage detection, and deep learning algorithms for weight identification. During his master’s studies, he worked as a part-time college psychological counselor at Southeast University, providing psychological support and managing data files for graduate students.

His work uniquely combines civil engineering, intelligent transportation systems, and mental health advocacy.

Research Interests 🔬

Haowei Zhang’s research interests lie in structural health monitoring, computer vision-based WIM systems, deep learning, machine learning applications in civil engineering, and non-contact vehicle weight identification. His work focuses on developing innovative solutions for monitoring the integrity of concrete structures and enhancing safety through advanced image processing and data analysis.

Awards 🏆

International Exhibition of Inventions of Geneva – Silver Prize (2024)
Honor of Individual Academic Innovation – Southeast University (2023)
First-Class Academic Scholarship – Southeast University (2021)
Outstanding Undergraduate Student of Liaoning Province (2021)
National Scholarship (2020)

Publications Top Notes 📄

Automatic crack detection on concrete and asphalt surfaces using semantic segmentation network with hierarchical Transformer, Engineering Structures, 2023 Cited by: 45. link

Non-contact vehicle weight identification method based on explainable machine learning models and computer vision, Journal of Civil Structural Health Monitoring, 2023 Cited by: 20. link

Fully decouple convolutional network for damage detection of rebars in RC beams, Engineering Structures, 2023 Cited by: 25. link

A machine learning and game theory-based approach for predicting creep behavior of recycled aggregate concrete, Case Studies in Construction Materials, 2022 Cited by: 35. link