Professor

Wen-Ping Tsai

Assistant Professor

Office：4F 4691

Extension:  63241
Email：wptsai@gs.ncku.edu.tw
NCKU Research

Education：

Ph.D., Bioenvironmental Systems Engineering, National Taiwan University, 2014

Specialties：

Artificial Neural Networks/Machine Learning/Deep Learning, Big Data, Multi-Scale Hydrologic Models, Multi-objective Optimization of Water Resources Management, Eco-hydrology, Water-Food-Energy Nexus

Teaching Courses：

The Application of Remote Sensing and Geographic Information System, Introduction to Disaster Mitigation and Management

Postdoctoral Scholar, Civil and Environmental Engineering, Pennsylvania State University (2017/04-2022/04)
Postdoctoral Scholar, Bioenvironmental Systems Engineering, National Taiwan University (2014/08-2017/04)
Visiting Scholar, Illinois State Geological Survey, University of Illinois at Urbana-Champaign (2012/09-2013/06)
Visiting Scholar, Illinois State Water Survey, University of Illinois at Urbana-Champaign (2012/06-2012/09)

2016, Academic Research Thesis Award, National Taiwan University
2013, Poster Award, Asia-Pacific Economic Cooperation (APEC) Typhoon Symposium (APTS 2013)

  1. Wen-Ping Tsai, Dapeng Fen, Ming Pan, Hylke Beck, Kathryn Lawson, Yuan Yang, Jiangtao Liu, and Chaopeng Shen, 2021. “From calibration to parameter learning: Harnessing the scaling effects of big data in geoscientific modeling”, Nature Communications. 12, 5988.
  2. Kai Ma, Dapeng Feng, Kathryn Lawson, Wen-Ping Tsai, Chuan Liang, Xiaorong Huang, Ashutosh Sharma, Chaopeng Shen, 2021. “Transferring hydrologic data across continents -- leveraging data-rich regions to improve hydrologic prediction in data-sparse regions”, Water Resources Research. 57(5). e2020WR028600.
  3. Wei Zhi, Dapeng Feng, Wen-Ping Tsai, Gary Sterle, Adrian Harpold, Chaopeng Shen, Li Li, 2021. “From hydrometeorology to river water quality: can a deep learning model predict dissolved oxygen at the continental scale?”, Environmental Science & Technology. 55, 4, 2357-2368.
  4. Wen-Ping Tsai, Kuai Fang, Xinye Ji, Kathryn Lawson, Chaopeng Shen, 2020, ”Revealing causal controls of storage-streamflow relationships with a data-centric Bayesian framework combining machine learning and process-based modeling”, Frontiers in Water. 2: 40.
  5. Jia-Hao Hu, Wen-Ping Tsai*, Su-Ting Cheng, Fi-John Chang, 2020, “Explore the Relationship between Fish Community and Environmental Factors by Machine Learning Techniques”, Environmental Research. 184:109262.
  6. Tao Bai, Wen-Ping Tsai*, Yen-Ming Chiang, Fi-John Chang, Wan-Yu Chang, Li-Chiu Chang, Kuang-Chih Chang, 2019, “Modeling and Investigating the Mechanisms of Groundwater Level Variation in the Jhuoshui River Basin of Central Taiwan”, Water. 11(8), 1554.
  7. Wen-Ping Tsai, Chung-Lien Cheng, Tinn-Shuan Uen, Yanlai Zhou, Fi-John Chang, 2019, “Drought Mitigating under Urbanization through an Intelligent Water Allocation System”, Agricultural Water Management. 213: 87-96.
  8. Su-Ting Cheng, Wen-Ping Tsai, Tzu-Chun Yu, Edwin Herricks, and Fi-John Chang, 2018, “Signals of stream fish homogenization revealed by AI-based clusters”, Scientific Reports. 8(1): 15960. DOI:10.1038/s41598-018-34313-x.
  9. Yen-Ming Chiang, Ruo-Nan Hao, Jian-Quan Zhang, Ying-Tien Lin and Wen-Ping Tsai*, 2018, “Identifying the Sensitivity of Ensemble Streamflow Prediction by Artificial Intelligence”, Water. 10(10), 1341.
  10. Chaopeng Shen, Eric Laloy, Amin Elshorbagy, Adrian Albert, Jerad Bales, Fi-John Chang, Sangram Ganguly, Kuo-Lin Hsu, Daniel Kifer, Zheng Fang, Kuai Fang, Dongfeng Li, Xiaodong Li, and Wen-Ping Tsai, 2018, ” HESS Opinions: Incubating deep-learning-powered hydrologic science advances as a community”, Earth Syst. Sci., 22, 5639-5656.
  11. Tinn-Shuan Uen, Fi-John Chang, Yanlai Zhou, Wen-Ping Tsai, 2018, “Exploring synergistic benefits of Water-Food-Energy Nexus through multi-objective reservoir optimization schemes”, Science of the Total Environment. 633:341-351.
  12. Wen-Ping Tsai, Shih-Pin Huang, Su-Ting Cheng, Kwang-Tsao Shao, Fi-John Chang, 2017, “A data-mining framework for exploring the multi-relation between fish species and water quality through self-organizing map”, Science of the Total Environment. 579:474-483.
  13. Wen-Ping Tsai, Yen-Ming Chiang, Jun-Lin Huang, Fi-John Chang, 2016, “Exploring the mechanism of surface and ground water through data-driven techniques with sensitivity analysis for water resources management”, Water Resources Management. 30 (13):4789-4806.
  14. Wen-Ping Tsai, Fi-John Chang, Edwin E. Herricks, 2016, “Exploring the ecological response of fish to flow regime by soft computing techniques”, Ecological Engineering, 87: 9-19.
  15. Su-Ting Cheng, Edwin E. Herricks, Wen-Ping Tsai, Fi-John Chang, 2016, “Assessing the Natural and Anthropogenic Influences on Basin-wide Fish Species Richness”, Science of the Total Environment. 572: 825-836.
  16. Fi-John Chang, Yu-Chung Wang, Wen-Ping Tsai, 2016, “Modelling Intelligent Water Resources Allocation for Multi-users”, Water Resources Management, 30(4):1395-1413.
  17. Yen-Ming Chiang, Ruo-Nan Hao, Wen-Ping Tsai*. 2016 “Progress and practical applications of flood forecasting systems in Taiwan”, Journal of Zhejiang University (Engineering Science). 50(9): 1784-1790.
  18. Wen-Ping Tsai, Li-Chiu Chang, Fi-John Chang, 2016, ‘Sustainable Water Resource Management by Considering Both Human and Ecosystem Needs’, Journal of Water Resources Research, 5(4): 379-390.
  19. Fi-John Chang, Wen-Ping Tsai, Chung-Lien Cheng, 2016, ‘Intelligent Water Resources Management Strategy under Urbanization’, Journal of Water Resources Research, 5(4): 314-325.
  20. Wen-Ping Tsai, Fi-John Chang, Li-Chiu Chang, Edwin E. Herricks, 2015, “AI techniques for optimizing multi-objective reservoir operation upon human and riverine ecosystem demands”, Journal of Hydrology, 530: 634-644.
  21. Fi-John Chang, Wen-Ping Tsai, Hung-kwai Chen, Rita Sau-Wai Yam, Edwin E. Herricks, 2013, “A self-organizing radial basis network for estimating riverine fish diversity”, Journal of Hydrology, 476:280-289.
  22. Fi-John Chang, Wen-Ping Tsai, Tzu-Ching Wu, Hung-kwai Chen, Edwin E. Herricks, 2011, “Identifying Natural Flow Regimes Using Fish Communities”, Journal of Hydrology, 409:328-336.
  23. Fi-John Chang, Tzu-Ching Wu, Wen-Ping Tsai, Edwin E. Herricks, 2009, “Defining the ecological hydrology of Taiwan Rivers using multivariate statistical methods”, Journal of Hydrology, 376:235-242.
  24. Tsai, Wen-Ping and John-Fi Chang, 2009, “A Study of Artificial Neural Networks for Estimating Riverine Biodiversity”, Journal of Taiwan Water Conservancy, 57(4): 1-13.
  25. Fi-John Chang, Meng-Jung Tsai, Wen-Ping Tsai, Edwin E. Herricks, 2008, “Assessing the Ecological Hydrology of Natural Flow Conditions in Taiwan”, Journal of Hydrology, 354:75-89.

Guest Editor: Water (2022)
Director, Taiwan Hydro-Informatics Society (2017~)
International conference staff, PAWEES (2011、2014)