楊盼

太阳成集团tyc234cc暨環境生态工程研究院 特聘教授 博導

郵箱:pyangac@gdut.edu.cn

基本信息

楊盼,國家級高層次青年引進人才,香港科技大學(HKUST)博士,伊利諾伊大學香槟分校(UIUC)博士後,太阳成集团tyc234cc特聘教授。

研究方向

水環境系統分析,水文大數據處理,“水-能-糧”耦合系統分析

教育經曆

2014.08-2018.08,香港科技大學,土木工程專業,獲工學博士學位

2011.09-2014.07,北京師範大學,環境工程專業,獲工學碩士學位

2007.09-2011.06,武漢理工大學,環境工程專業,獲工學學士學位

工作經曆

2022.05至今,太阳成集团tyc234cc,太阳成集团tyc234cc,特聘副教授

2018.09-2022.03,伊利諾伊大學香槟分校,土木與環境工程學院,博士後研究員

學術兼職

1. 國際期刊Frontiers in Water編委

2. 國際期刊Water客座編輯

3. Nature Sustainability、Water Resources Research等領域内頂級刊物審稿人

科研項目

1. 國家自然科學基金委青年項目,緩解城市内澇風險目标下的綠色屋頂精準推廣政策研究,2023-2025,主持

2. 國家重點研發計劃,粵港澳大灣區複合生态系統減污降碳協同調控技術,2022-2026,參與(子課題負責人)

3. 國家重點研發計劃,珠江流域關鍵生源要素多介質溯源與協同管控,2022-2026,參與(子課題負責人)

4.香港特别行政區大學教育資助委員會,Adaptive Management with Forecasting of Non-Stationary Water Supply System (GRF No. 617012),2014-2018,參與

5.美國能源部,Center for Advanced Bioenergy and Bioproducts Innovation (DE-SC0018420),2018-2022,參與

6.美國自然科學基金會,The Urban Flooding Open Knowledge Network (UF-OKN): Delivering Flood Information to AnyOne, AnyTime, AnyWhere (NSF 2033607),2020-2022,參與

榮譽獲獎

1.中國産學研合作創新成果獎一等獎,2021

2.中國發明協會全國發明展覽會金獎,2021

3. 3rd Biennial Symposium of International Society for River Science,最佳學生海報

科研成果

目前已在國際主流SCI期刊發表學術論文二十餘篇,其中第一/通訊作者SCI論文15篇,發表于Water Resources Research,Environmental Science & Technology,Renewable & Sustainable Energy Reviews等水資源/水環境領域頂級期刊。已授權專利3項。

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.楊盼,包申旭,等,一種基于空間統計學的多來源降雨數據融合算法及裝置, (ZL 202110253540.0)

2. 包申旭,楊盼,等,一種基于貝葉斯回歸的多來源降雨數據融合算法及裝置, (ZL 202110251215.0)

1. 包申旭,楊盼,等,一種暴雨洪水管理模型軟件的數據輸入方法及裝置, (ZL 202110246199.6)

聯系方式

 

 

以楊志峰院士為核心的研究團隊長期招收環境、生态、水利、計算機、經濟管理等專業背景的碩士、博士研究生及博士後,歡迎對人工智能、統計分析、優化算法、數值模拟等感興趣的優秀學生加入!

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Email: pyangac@gdut.edu.cn

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