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Mr. Li Xilai, a 25-year-old postgraduate student at Nanjing University of Aeronautics and Astronautics, is pursuing a Master’s degree in Mechanical Engineering at the School of Aeronautics, following his Bachelor’s degree in Aircraft Manufacturing Engineering from the Civil Aviation University of China. His academic foundation covers a wide range of aeronautical subjects, including theoretical mechanics, fluid mechanics, structural dynamics, computational aerodynamics, aeroengine principles, and aeronautical systems engineering. He has developed strong technical expertise in advanced engineering software such as ABAQUS, OPENFAST, VABS, BECAS, Bladed, MATLAB, CAD, SolidWorks, and Origin, along with proficiency in programming languages including Python, MATLAB, and FORTRAN. His research interests center on nonlinear blade modeling, aeroelastic response, and vibration suppression in large-scale wind turbines. He has actively contributed to projects such as offshore wind power integrated numerical simulation software evaluation and flow control simulations for blades and airfoils. His innovative research has resulted in two patent applications related to vibration reduction in wind turbine systems and floating platforms. He has also shared his work at prestigious conferences, presenting on topics such as tuned mass-damper inertia systems for vibration control and the influence of control parameters on flutter boundaries in wind turbines. Recognized as an excellent graduate student and outstanding research leader, he combines strong analytical ability with leadership and teamwork. Optimistic, adaptable, and highly motivated, he demonstrates a strong commitment to advancing renewable energy technologies, particularly in offshore wind engineering, while contributing innovative solutions to future challenges in aerospace and energy systems.
Li Xilai. Numerical Optimization of Tuned Mass-Damper Inertia Systems for Vibration Control in Wind Turbines. China Aerodynamics Conference Proceedings, cited by 8 articles.
Li Xilai. Influence of Control Parameters on Flutter Boundary of Large Horizontal-Axis Wind Turbines. Mechanics & Renewable Energy Forum Proceedings, cited by 5 articles.
Dr. Alejandro Medina Santiago is a Mexican researcher in Electrical Engineering, specializing in VLSI integrated circuit design, neural networks, fuzzy logic, intelligent systems, and Industry 4.0 technologies. He earned his Doctor of Science and Master of Science degrees in Electrical Engineering from the Center for Research and Advanced Studies of the National Polytechnic Institute (CINVESTAV-IPN), where his doctoral research focused on the design of arithmetic cells using multi-input floating gate devices for reconfigurable circuits in image processing and pattern recognition, and his master’s thesis concentrated on neural network-based classification systems for analog signals. He also holds a degree in Electronics Engineering from the Technological Institute of Tuxtla Gutiérrez. Since 2017, he has been a Researcher at the National Institute of Astrophysics, Optics, and Electronics (INAOE) and is a member of Mexico’s National System of Researchers (SNI Level 1, 2021–2025). His areas of expertise include signal processing, IoT, cybersecurity, deep learning, automotive ecosystem diagnostics, and circuit design. Dr. Medina Santiago has directed and participated in numerous projects, including deep neural networks for automotive systems, automotive embedded platforms, IoT educational initiatives, and agricultural disease detection through georeferenced image processing. He has authored more than 20 indexed journal articles, published a book, and holds four patents in process. Additionally, he contributes as a reviewer and editorial board member for IEEE, MDPI, Springer, and Elsevier. A committed educator, he teaches both undergraduate and postgraduate courses on IoT, artificial intelligence, machine learning, electronics, and intelligent control, while actively mentoring future engineers and researchers.
Medina-Santiago, A., et al. (2025). Machine Learning-Powered IDS for Gray Hole Attack Detection in VANETs. World Electric Vehicle Journal, 16(9), 526. [DOI: 10.3390/wevj16090526]
Orozco Torres, J. A., Medina Santiago, A., et al. (2025). A Data-Driven Approach Using Recurrent Neural Networks for Material Demand Forecasting in Manufacturing. Logistics, 9(3), 130. [DOI: 10.3390/logistics9030130]
Aguilar-González, A., Medina Santiago, A. (2025). Road Event Detection and Classification Algorithm Using Vibration and Acceleration Data. Algorithms, 18(3), 127. [DOI: 10.3390/a18030127]
Orozco Torres, J. A., Medina Santiago, A., et al. (2024). Multilayer Fuzzy Inference System for Predicting the Risk of Dropping Out of School at the High School Level. IEEE Access, 12, 3425548. [DOI: 10.1109/ACCESS.2024.3425548]
Bermúdez Rodríguez, J. I., Medina Santiago, A., et al. (2024). Fault Diagnosis for Takagi-Sugeno Model Wind Turbine Pitch System. IEEE Access, 12, 3361285. [DOI: 10.1109/ACCESS.2024.3361285]
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.
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.
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.
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.
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
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.