Prof. Yong Xie , Xi’an Jiaotong University, China
Prof. Yong Xie is a distinguished professor at Xi’an Jiaotong University, specializing in nonlinear oscillations and neurodynamics 🧠. He earned his B.S., M.S., and Ph.D. in Engineering Mechanics and Vibration from the same university 🎓. His research explores structural vibration modes and neuronal network dynamics with topological variations. Prof. Xie completed a postdoctoral fellowship at the University of Tokyo 🇯🇵 and has over 18 years of academic experience. He received the Excellent Doctoral Thesis Award (2004) and First Prize in Science & Technology from Shaanxi University (2017) 🏅. He remains dedicated to advancing interdisciplinary research in aerospace and neuroscience
Publication Profile
Scopus
💼 Professional Experience
Prof. Yong Xie has accumulated a wealth of academic and research experience over the past two decades 🧑🏫. Since 2006, he has served as an Associate Professor at the School of Aerospace Engineering, Xi’an Jiaotong University, China 🇨🇳. From 2006 to 2008, he was a Postdoctoral Researcher at the Laboratories for Mathematics, Lifesciences, and Informatics, University of Tokyo, Japan 🇯🇵, where he deepened his interdisciplinary expertise 🔬. Earlier in his career, from 2004 to 2005, he held the position of Lecturer at the MOE Key Laboratory for Strength and Vibration, contributing to foundational research in mechanical structures
🎓 Educational Background
Prof. Yong Xie has pursued his entire academic journey at Xi’an Jiaotong University 🇨🇳, building a strong foundation in engineering mechanics and vibration dynamics. He earned his Ph.D. (2000–2004) from the State Key Laboratory for Strength and Vibration of Mechanical Structures, School of Aerospace ✈️. Prior to that, he completed his M.S. (1997–2000) in the same prestigious laboratory 🛠️. His academic path began with a B.S. (1993–1997) from the Department of Engineering Mechanics, where he developed the core expertise that continues to drive his research in nonlinear systems and structural dynamics
🔬 Research Interests
Prof. Yong Xie’s research is centered on nonlinear oscillations and neurodynamics, blending principles of mechanics and neuroscience 🧠⚙️. His work delves into structural vibration modes, exploring how complex physical systems behave under oscillatory motion 🌐. A key focus lies in understanding the mechanisms behind neuronal firing patterns and how these contribute to signal transmission and processing in the brain 🔁. He also investigates the dynamic behavior of neuronal networks with diverse topological structures, aiming to uncover patterns and responses in interconnected neural systems 🧩. His interdisciplinary research bridges aerospace engineering and computational neuroscience effectively
🏆 Honors and Awards
Prof. Yong Xie has been recognized for his exceptional academic and research contributions 🎖️. In 2004, he received the Excellent Doctorate Thesis Award from Xi’an Jiaotong University, a prestigious recognition of his scholarly excellence during his Ph.D. studies 📘🎓. Further cementing his impact in the scientific community, he was honored with the First Prize in the Science and Technology Award by Shaanxi University in 2017 🥇🔬. These accolades reflect his consistent pursuit of innovation and his contributions to both the academic and technological advancement of engineering and neurodynamics in China
🧪 Research Focus
Prof. Yong Xie’s research lies at the intersection of computational physics, neurodynamics, and thermal engineering 🧠🌡️. He specializes in nonlinear systems, focusing on neuronal network modeling, chimera states, and synchronization behavior 🔁. Additionally, his work extends to thermal conductivity modeling in multi-phase and hybrid composite materials, using advanced homogenization techniques 🔬⚙️. His interdisciplinary studies bridge engineering mechanics, material science, and complex systems theory 🧩. These efforts contribute to innovations in aerospace, neuroscience, and applied physics, reflecting a research focus in nonlinear dynamics, materials engineering, and computational modeling
Publication Top Notes
📄 Unified homogenization model for accurate prediction of effective thermal conductivity in multi-phase particle-reinforced composites – Materials Today Communications, 2025 | 📚 Cited by: 0 📅
🧠 Power spectrum based early warning signal of neuronal firing – Wuli Xuebao Acta Physica Sinica, 2025 | 📚 Cited by: 0 📅
🌀 A review on methods for localization of hidden attractors – Journal name not listed, Year not listed | 📚 Cited by: 0 📅
🔥 Modeling of the effective thermal conductivity of multi-phase particle and core-shell hybrid composites by homogenization method – Int. Comm. in Heat and Mass Transfer, 2024 | 📚 Cited by: 1 📅
🧬 Alternating chimera states and synchronization in multilayer neuronal networks with ephaptic intralayer coupling – Cognitive Neurodynamics, 2024 | 📚 Cited by: 0 📅