燕海南，南京大学建筑学博士，新加坡国立大学建成环境系联合培养博士，江南大学环境设计系讲师。

主要研究方向为人工智能辅助建成环境数据分析，聚焦于建筑性能多目标协同优化，基于多模态大模型的建筑性能预测与评估等领域。长期致力于将人工智能算法、性能模拟与建筑设计相结合，探索数据驱动下的建筑性能优化设计方法以及建成环境领域知识图谱构建。目前以第一作者身份在《Building and Environment》、《Building Simulation》、《Journal of Building Engineering》等中科院SCI一区/二区TOP期刊发表论文多篇，并有多篇论文入选国际会议论文集（CAADRIA、eCAADe、CDRF等）。出版专著《Grasshopper参数化技术:从基础建模到数字设计》。主持两项江苏省研究生科研创新计划项目，参与国家自然科学基金面上项目及文旅部重点实验室开放课题等科研项目。担任多个SCI期刊审稿人，并受邀担任Frontiers in Built Environment专刊客座编辑。

教育背景

2019.09-2026.03，南京大学建筑与城市规划学院建筑系，博士

2016.09-2019.06，苏州大学建筑学院风景园林系，硕士

2012.09-2016.06，苏州大学建筑学院风景园林系，本科

代表性论文

-Yan H., Ji G, Yan K. Data-driven prediction and optimization of residential building performance in Singapore considering the impact of climate change[J]. Building and Environment, 2022, 226: 109735.（中科院一区SCI期刊论文）

-Yan H., Yan K, Ji G.Optimization and prediction in the early design stage of office buildings using genetic and XGBoost algorithms[J]. Building and Environment, 2022, 218: 109081.（中科院一区SCI期刊论文）

-Yan, H., Ji, G., Cao, S. et al. Developing an integrated prediction model for daylighting, thermal comfort, and energy consumption in residential buildings based on the stacking ensemble learning algorithm. Build. Simul. (2024).（中科院一区SCI期刊论文）

-Yan H, Lu L, Li Y, et al. Multimodal generative adversarial networks for accelerated daylight prediction in residential buildings[J]. Journal of Building Engineering, 2025: 113946.（中科院二区SCI期刊论文）

-Yan, H.; Zhang, L.; Ding, X.; Zhang, Z.; Qi, Z.; Jiang, L.; Bu, D. Multi-Objective Optimization of Outdoor Thermal Comfort and Sunlight Hours in Elderly Residential Areas: A Case Study of Beijing, China. Buildings 2024, 14, 3770.（中科院三区SCI期刊论文）

-Yan H., Ji G., et al. An Investigation on the Deviation of Microclimate Simulation Based on ENVI-met - Taking Suzhou Industrial Park as a Case Study[C]. Proceedings of the 25th CAADRIA Conference - Volume 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 527-536.（EI会议论文）

-Yan H.Ji G., et al. A rapid prediction framework for carbon emissions in residential buildings based on the multi-modal vision transformer model[C]. Proceedings of the 30th CAADRIA Conference - Volume 1, Tokyo University, Tokyo, Japan, 5-6 June 2025, pp. 302-315.（EI会议论文）

-Yan H., Zhang Y., Liu S., Cheung K.M., Ji G. (2022) Optimization of Daylight and Thermal Performance of Building Façade: A Case Study of Office Buildings in Nanjing. In: Yuan P.F., Chai H., Yan C., Leach N. (eds) Proceedings of the 2021 DigitalFUTURES. CDRF 2021. Springer, Singapore.

-燕海南,吉国华.老旧社区公共空间活力评价研究——以南京主城区3个老旧社区为例[J].华中建筑,2020,38(05):38-42.

书籍出版

-燕海南,杨艳,曹雅男,王军. Grasshopper参数化技术：从基础建模到数字设计[M].武汉:华中科技大学出版社.