Biao Hu 编辑 at IgMin Research
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简历
Dr. Biao HU is currently an Assistant Professor at the College of Civil and Transportation Engineering, Shenzhen University, P.R. China. He obtained his Ph.D. from the City University of Hong Kong in 2017. His main research focuses on composite materials & structures, structural retrofitting, and sustainable construction materials. He has published more than 40 technical papers in international journals and conference proceedings (including 41 SCI papers), and these works received more than 970 citations recorded in Google Scholar. He is the principal investigator of 4 research projects and the co-investigator of more than 10 research projects. He serves as the editorial board member of several journals (Journal of Civil, Construction and Environmental Engineering, Building Technology Research and Construction Progress) and the guest editor of two SCI journals. He is a regular reviewer of more than 30 peer-reviewed international SCI journals. He received the Moisseiff Award from the American Society of Civil Engineers (ASCE) in 2018. He received the IAAM Scientist Medal Award (2023) from the International Association of Advanced Materials (IAAM) and selected as a Fellow of IAAM (Junior) in 2023.
研究兴趣
Composite materials & structures, structural retrofitting, and sustainable construction materials.
Editor
工作详情
Assistant Professor
Shenzhen University
College of Civil and Transportation
China
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研究文章
- Efficient Room Temperature Ethanol Vapor Sensing by Unique Fractal Features of Tin Oxide
- Use of Augmented Reality as a Radiation-free Alternative in Pain Management Spinal Surgeries
- Lunar-Derived Propellants for Fueling Mars-Bound Spacecraft in Cis-Lunar Space
- Gaussian-Transform for the Dirac Wave Function and its Application to the Multicenter Molecular Integral Over Dirac Wave Functions for Solving the Molecular Matrix Dirac Equation
- DNA Genetics and UHPLC-Q-TOF-MS Analysis of Phytochemicals for Asparagus racemosus Roots
- From Traditionalism to Algorithms: Embracing Artificial Intelligence for Effective University Teaching and Learning
