题 目： Aerodynamic technologies and AI for wind-safe and energy efficient low-altitude transport
报告人：Bernd R. Noack Shenzhen University
时间：2026 年10 月19 日星期一上午09:30
地点：上海大学延长校区力学所200 学术报告厅
专家简介
Bernd R. Noack, Fellow of the American Physical Society, is National Talent and Distinguished Professor at Shenzhen University with secondary affiliations at Shenzhen Technology University, Harbin Institute of Technology, TU Berlin and University Carlos III of Madrid. Prof. Noack has written over 350 refereed publications, including 3 patents, 6 books and over 180 journal articles. His work has been awarded with many dozens of national and international awards. His work includes 36 citation classics and enjoys over 21,000 citations with over 3000 citations per year (extrapolated for 2026). ScholarGPS rates him a top fluid dynamicist in China and top 6 in the world. Mendeley/Stanford lists him as highly cited scientists among the top aeronautics/aerospace scientists in China.
Bernd R. Noack 教授是美国物理学会会士（Fellow of the American Physical Society），现任深圳大学国家级人才、特聘教授，同时兼任深圳技术大学、哈尔滨工业大学、柏林工业大学（TU Berlin）以及西班牙马德里卡洛斯三世大学的相关学术职务。Noack 教授已发表350余项经过同行评审的学术成果，包括3项专利、6部著作以及180余篇期刊论文。其研究工作获得了数十项国内外奖项。他的研究成果中，有36篇被列为高被引经典文献（Citation Classics），累计引用次数超过21,000次。按照2026年的外推估算，其年引用次数超过3,000次。根据 ScholarGPS 的评价，Noack 教授是中国排名前列的流体动力学科学家，并位列全球流体动力学领域前六名。Mendeley/Stanford 的相关榜单也将其列为高被引科学家，并认为他是中国航空航天科学领域的顶尖学者之一。
摘要信息
The rapidly evolving low-altitude economy transforms mankind into an aerial society: Drones and air taxis allow unprecedented transport and mobility overcoming traffic jams in congested metropolises and reaching remote rural destinations. Yet, drones and air taxis are far from aerodynamically optimized. More importantly, steady winds and wind gusts challenge the safety of air taxi and delivery drone operation in urban environments. In this talk, we report on aerodynamic technologies and artificial intelligence addressing these wind safety challenges and improving aerodynamic performance for multicopter drones and air taxis. Topics include emulating atmospheric flow conditions in our aerial city lab, digitial twins of drones and air taxis, aerodynamic optimization for cruise and windaware flight control for take-off and landing.
快速发展的低空经济正在推动人类社会向空中交通社会转型。无人机和空中出租车带来了前所未有的运输与出行方式，不仅能够缓解人口密集大都市的交通拥堵问题，还能够实现对偏远乡村地区的便捷通达。然而，目前无人机和空中出租车的气动设计仍远未达到最优。更为重要的是，持续风和阵风对城市环境中空中出租车及物流配送无人机的安全运行构成了严峻挑战。本次报告将介绍我们在气动技术与人工智能领域的相关研究成果，重点探讨如何应对上述风环境安全挑战，并提升多旋翼无人机和空中出租车的气动性能。报告内容主要包括：在我们的空中城市实验室中模拟大气流动条件、构建无人机与空中出租车的数字孪生模型、开展巡航状态下的气动优化，以及研究考虑风环境影响的起飞与着陆飞行控制技术。
