Dr. Zhengwu Long was born in Zhuzhou, Hunan, China, in October 1995. He received his B.E. and M.E. degrees in Civil Engineering from Xiangtan University in 2018 and 2021, respectively, and completed his Ph.D. in Civil Engineering at Huazhong University of Science and Technology in 2026. His doctoral dissertation focused on the aging mechanisms and regeneration methods of asphalt materials based on generative AI and machine learning force fields. In September 2026, he began postdoctoral research at Harbin Institute of Technology. Dr. Long’s research interests include knowledge- and data-driven characterization, prediction, and inverse design of material performance; eco-friendly pavement technologies and materials; molecular simulation of pavement materials; AI-assisted material design; and multiscale modeling and experimental verification of asphalt and asphalt mixtures. His work covers interface interactions, aging, rejuvenation, self-healing, sustainable pavement materials, and nanomechanical properties under environmental erosion such as chloride salt and sea salt. He has participated in multiple research projects, including those supported by the Hubei Provincial Natural Science Foundation and Hunan Provincial Natural Science Foundation. He has published more than 25 SCI papers in journals such as Cell Reports Physical Science, Carbon, Journal of Colloid and Interface Science, Construction and Building Materials, Journal of Chemical Information and Modeling, Energy & Fuel