一、基本信息
杨盼，1990年生，香港科技大学（HKUST）博士，广东工业大学“青年百人计划”A类引进人才，特聘副教授。
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
2007.09-2011.06，武汉理工大学，环境工程专业，获工学学士学位；
2011.09-2014.07，北京师范大学，环境工程专业，获工学硕士学位；
2014.08-2018.08，香港科技大学，土木工程专业，获工学博士学位。
四、工作经历
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
2022.05至今，广东工业大学，生态环境与资源学院，特聘副教授；
五、科研项目
1.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
2.美国能源部，Center for Advanced Bioenergy and Bioproducts Innovation (DE-SC0018420)，2018-2022，参与
3.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20篇，其中第一/通讯作者SCI论文13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。
24.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.
23.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.
22.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.
21.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.
20.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.
19.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.
18. 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.
17.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.
16.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.
15.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.
14.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.
13.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.
12.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.
11.Khanna, M.*, Chen, L., Basso, B., Cai, X., Field, J. L., Guan, K.,Yang, P., & Zipp, K. Y. (2021). Redefining marginal land for bioenergy crop production. GCB Bioenergy, 13(10), 1590-1609.
10.Zhou, Y.*, Zhang, D., Zhou, P., Wang, Z.,Yang, P., Jin, J., ... & Ning, S. (2021). Copula‐Based Bivariate Return Period Analysis and Its Implication to Hydrological Design Event. JAWRA Journal of the American Water Resources Association.
9. Luo, Y., Bao, S.*, Yang, S., Zhang, Y., Ping, Y., Lin, C., & Yang, P. (2021). Characterization, Spatial Variation and Management Strategy of Sewer Sediments Collected from Combined Sewer System: A Case Study in Longgang District, Shenzhen. International Journal of Environmental Research and Public Health, 18(14), 7687.
8. Xu, Z., Yu, C., Liao, L., Yang, P., and Yang, Z*. (2021). Optimizing Reservoir Operations for Tradeoffs Between Economic Objectives and Legacy Phosphorus Management. Resources, Conservation and Recycling, 167: 105413.
7. Zheng, F.*, Tao, R., Maier, H. R., See, L., Savic, D., Zhang, T., Chen, Q. W., Assumpção, T. H., Yang, P., …, and Popescu, I. (2018). Crowdsourcing methods for data collection in geophysics: state of the art, issues, and future directions. Reviews of Geophysics, 56(4): 698-740.
6. Tang, J., Yin, X. A.,Yang, P.,and Yang, Z. F.*(2015). Climate‐induced Flow Regime Alterations and Their Implications for the Lancang River, China. River Research and Applications, 31(4): 422-432.
5. Tang, J., Yin, X. A.,Yang, P., andYang, Z. F.*(2014). Assessment of Contributions of Climatic Variation and Human Activities to Streamflow Changes in the Lancang River, China. Water Resources Management, 28(10): 2953-2966.
4.Yang, P.and Ng, T. L.*(2015, October). Fuzzy Inference Decision Rule for Optimal Reservoir Operation. In 2015 IEEE International Conference on Systems, Man, and Cybernetics (pp. 2239-2243). IEEE.
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)
七、联系方式
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
邮编：510006
Email: pyangac@gdut.edu.cn
