广东工业大学生态环境与资源学院暨环境生态工程研究院 特聘教授 博导
一、基本信息
杨盼，国家级高层次青年引进人才，香港科技大学（HKUST）博士，伊利诺伊大学香槟分校（UIUC）博士后，广东工业大学特聘教授。
二、研究方向
水环境系统分析，水文大数据处理，“水-能-粮”耦合系统分析
三、教育经历
2014.08-2018.08，香港科技大学，土木工程专业，获工学博士学位
2011.09-2014.07，北京师范大学，环境工程专业，获工学硕士学位
2007.09-2011.06，武汉理工大学，环境工程专业，获工学学士学位
四、工作经历
2022.05至今，广东工业大学，生态环境与资源学院，特聘副教授
2018.09-2022.03，伊利诺伊大学香槟分校，土木与环境工程学院，博士后研究员
五、学术兼职
1. 国际期刊Frontiers in Water编委
2. 国际期刊Water客座编辑
3. Nature Sustainability、Water Resources Research等领域内顶级刊物审稿人
五、科研项目
1. 国家自然科学基金委青年项目，缓解城市内涝风险目标下的绿色屋顶精准推广政策研究，2023-2025，主持
2. 国家重点研发计划，粤港澳大湾区复合生态系统减污降碳协同调控技术，2022-2026，参与（子课题负责人）
3. 国家重点研发计划，珠江流域关键生源要素多介质溯源与协同管控，2022-2026，参与（子课题负责人）
4.香港特别行政区大学教育资助委员会，Adaptive Management with Forecasting of Non-Stationary Water Supply System (GRF No. 617012)，2014-2018，参与
5.美国能源部，Center for Advanced Bioenergy and Bioproducts Innovation (DE-SC0018420)，2018-2022，参与
6.美国自然科学基金会，The Urban Flooding Open Knowledge Network (UF-OKN): Delivering Flood Information to AnyOne, AnyTime, AnyWhere (NSF 2033607)，2020-2022，参与
六、荣誉获奖
1.中国产学研合作创新成果奖一等奖，2021
2.中国发明协会全国发明展览会金奖，2021
3. 3rd Biennial Symposium of International Society for River Science，最佳学生海报
七、科研成果
目前已在国际主流SCI期刊发表学术论文二十余篇，其中第一/通讯作者SCI论文15篇，发表于Water Resources Research，Environmental Science & Technology，Renewable & Sustainable Energy Reviews等水资源/水环境领域顶级期刊。已授权专利3项。
18. Yang, B., Yang, P.*, Golub, E., & Cai, X.* (2023). The role of social support on midwestern farmers’ willingness to grow perennial bioenergy crops. Biomass and Bioenergy, 175, 106898.
17. Zhang, Q.F., Hu, T.S.*, Zeng, X., Yang, P.*, Wang, X., Exploring the Effects of Physical and Social Networks on Urban Water System’s Supply-Demand Dynamics through a Hybrid Agent-based Modeling Framework, Journal of Hydrology, 167C, 129108.
16. Yang, P., Cai, X.*, Hu, X., Zhao, Q., Lee, Y., Khanna, M., ... Iutzi, F. (2022). An agent-based modeling tool supporting bioenergy and bio-product community communication regarding cellulosic bioeconomy development. Renewable and Sustainable Energy Reviews, 167, 112745.
15. Yang, P.†, Piao, X.†, Cai, X.* (2022). Water Requirement for Biorefinery to Meet the Renewable Fuel Standard in the Contagious United States. Environmental Science & Technology, 56(6), 3748–3757; †共同一作.
14. Yang, P.*, & Ng, T. L. (2022). Quantifying uncertainty in multivariate quantile estimation of hydrometeorological extremes via copula: A comparison between bootstrapping and Markov chain Monte Carlo. International Journal of Climatology, 42(9), 4621-4638.
13. Yang, P., Cai, X.*, Leibensperger, C., & Khanna, M. (2021). Adoption of perennial energy crops in the US Midwest: Causal and heterogeneous determinants. Biomass and Bioenergy, 155, 106275.
12. Niu, G., Yang, P.*, Zheng, Y.*, Cai, X., & Qin, H. (2021). Automatic quality control of crowdsourced rainfall data with multiple noises: A machine learning approach. Water Resources Research, 57(11), e2020WR029121.
11. Yang, P., Cai, X*, and Khanna, M. (2021). Farmers’ Heterogeneous Perceptions of Marginal Land for Biofuel Crops in US Midwestern States Considering Biophysical and Socio-economic Factors. Global Change Biology Bioenergy, 13(5): 849-861.
10. Leibensperger, C.†, Yang, P.†, Zhao, Q., Hu, X., Wei, S., and Cai, X*. (2021). The Synergy Between Stakeholders for Biofuel Development -- Perspectives, Opportunities, and Barriers. Renewable & Sustainable Energy Reviews, 137: 110613; †共同一作.
9. Yang, P., Zhao, Q., and Cai, X.* (2020). Machine Learning Based Estimation of Land Productivity in the Contiguous US Using Biophysical Predictors. Environmental Research Letters, 15(7): 074013.
8. Yang, P., Ng, T. L.*, and Cai, X.* (2019). Reward-based Participant Management for Crowd-Sourcing Rainfall Monitoring: An Agent-Based Model Simulation. Water Resources Research, 55(10): 8122-41.
7. Yang, P. and Ng, T. L.* (2019). Fast Bayesian Regression Kriging Method for Real‐Time Merging of Radar, Rain Gauge, and Crowdsourced Rainfall Data. Water Resources Research, 55(4): 3194-3214.
6. Yang, P. and Ng, T. L.* (2017). Gauging through the Crowd: A Crowd-Sourcing Approach to Urban Rainfall Measurement and Stormwater Modeling Implications. Water Resources Research, 53(11): 9462-9478.
5. Yang, P. and Ng, T. L.* (2016). Fuzzy Inference System for Robust Rule-Based Reservoir Operation under Nonstationary Inflows. Journal of Water Resources Planning and Management, 04016084.
4. Yang, P., Yin, X. A.*, Yang, Z. F., and Tang, J. (2014). A Revised Range of Variability Approach Considering the Periodicity of Hydrological Indicators. Hydrological Processes, 28(26): 6222-6235.
3. 杨盼，包申旭，等，一种基于空间统计学的多来源降雨数据融合算法及装置， (ZL 202110253540.0)
2. 包申旭，杨盼，等，一种基于贝叶斯回归的多来源降雨数据融合算法及装置， (ZL 202110251215.0)
1. 包申旭，杨盼，等，一种暴雨洪水管理模型软件的数据输入方法及装置， (ZL 202110246199.6)
八、联系方式
以杨志峰院士为核心的研究团队长期招收环境、生态、水利、计算机、经济管理等专业背景的硕士、博士研究生及博士后，欢迎对人工智能、统计分析、优化算法、数值模拟等感兴趣的优秀学生加入！
地址：广州市番禺区广州大学城外环西路100号生态环境与资源学院，科技南楼603-3
邮编：510006
Email: pyangac@gdut.edu.cn
