Dr. Changxin Huang | Geotechnical Engineering | Best Researcher Award
Doctoral student | Shandong University | China
The research fields of Dr. Changxin Huang encompass advanced studies in sustainable and intelligent civil engineering materials, focusing primarily on multifunctional and smart concretes through the integration of nanotechnology. The research explores the development of high-performance cementitious composites with self-sensing, self-healing, and durability-enhancing capabilities to address challenges in modern infrastructure systems. Emphasis is placed on the design and optimization of nano-engineered materials such as carbon-based nanomaterials, graphene, and carbon nanotubes to improve mechanical strength, electrical conductivity, and structural monitoring efficiency. Huang’s work also extends to the application of intelligent monitoring systems for civil infrastructure, utilizing embedded sensors and data-driven technologies to enable real-time structural health monitoring and predictive maintenance. Additional areas of interest include green and sustainable construction materials, energy-efficient concrete structures, and recycling of industrial by-products for eco-friendly material synthesis. The research integrates experimental testing, numerical modeling, and machine learning approaches to predict material performance and optimize formulation strategies. Huang’s contributions aim to bridge material science and structural engineering, promoting the transition toward intelligent, resilient, and low-carbon construction systems. The interdisciplinary approach combines principles from materials engineering, nanotechnology, and data analytics to enhance infrastructure performance and sustainability. Overall, the research advances the vision of next-generation civil infrastructure that is adaptive, energy-efficient, and environmentally responsible through innovative multifunctional concrete technologies and smart monitoring systems.
Featured Publications:
A stepwise calculation method for grouting penetration in rough rock fracture based on fracture segment division. (2025). Tunnelling and Underground Space Technology.