Research Outcomes
Criticality of Ten-Minute Precipitation Resolution for Enhancing Flood Inundation Simulations in Rapidly Responding Basins.
Journal of Hydrology: Regional Studies, (under review)
A Statistically Integrated Approach for Assessing Typhoon-Induced Rainfall in Taiwan under Climate Change Scenarios.
Journal of Hydrology: Regional Studies, (revised)
Combining satellite imagery and digital elevation models to create flood depth maps for urban areas.
Taiwan Water Conservancy, accepted. (EI)
Using Physically Estimated Temperatures as Inputs to Enhance the Performance of an LSTM Model for Predicting Water Temperatures in Fishponds.
Smart Agricultural Technology, 101563. (N/M=4/126=3.17%, AGRONOMY, 2023)
Water, 17(18), 2739. (N/M=40/128=31.25%, WATER RESOURCES, 2023)
Water 2025, 17(7), 1055. (N/M=40/128=31.25%, WATER RESOURCES, 2023)
Smart Agricultural Technology, 100561. (N/M=4/126=3.17%, AGRONOMY, 2023)
Application of Parallel Computing on Hybrid Inundation Model, Case Study: Chiayi County Flood 23-24 August 2018.
In IOP Conference Series: Earth and Environmental Science (Vol. 1343, No. 1, p. 012017). IOP Publishing. (EI)
In IET Conference Proceedings CP868 (Vol. 2023, No. 45, pp. 41-43). Stevenage, UK: The Institution of Engineering and Technology. (EI)
中國土木水利工程學刊，第三十五卷 第六期。(EI)
未來氣候變遷條件下之漁業損失與調適措施成效
土木水利，第五十卷 第三期，DOI: 10.6653/MoCICHE.202306_50(3).0007。(EI)
Methods X, 10, 102202. (N/M=58/135=42.96%, MULTIDISCIPLINARY SCIENCES, 2021)
Exploring the Feasibility of Mitigating Flood Hazards by an Existing Pond System in Taoyuan, Taiwan.
Drones, 7, 1. (N/M=14/63=22.22% REMOTE SENSING, 2023)
Development of an Artificial Neural Network Algorithm Embedded in an On-Site Sensor for Water Level Forecasting.
Sensors, 22(21), 8532. (N/M=19/64=29.69%, INSTRUMENTS & INSTRUMENTATION, 2021)
Improvement of an Cellular Automata Model for Urban Flood Modeling.
Japan Geoscience Union Meeting 2026, 24-29 May 2026, Chiba, Japan.
Three Pathways for Physics Integration in Deep Learning: A Case Study on Fishpond Temperature Prediction.
Japan Geoscience Union Meeting 2026, 24-29 May 2026, Chiba, Japan.
Three Pathways for Physics Integration in Neural Network: A Case Study on Fishpond Temperature Prediction.
AI & Sustainability Forum: Exploring AI Across Sustainability Domains, 10 April 2026, Taipei, Taiwan.
Physics-Informed and Regular LSTM Model Performance for Fishpond Temperature Prediction.
2025 ICEO&SI Conference, 3-4 July 2025, Miaoli, Taiwan.
Combining GenAI and IoT for Efficient Early Flood Warnings at the Community Level.
2025 ICEO&SI Conference, 3-4 July 2025, Miaoli, Taiwan.
Using Synthetic Information from Numerical Models as Inputs for Artificial Intelligence to Produce Detailed Flood Map: A Preliminary Study.
Japan Geoscience Union Meeting 2025, 25-30 May 2025, Chiba, Japan.
Using a Bayesian network model for typhoon rainfall prediction.
Japan Geoscience Union Meeting 2025, 25-30 May 2025, Chiba, Japan.
A Method for Evaluating the Impact of Typhoon-Induced Rainfall in Taiwan under Climate Change Scenarios Based on Statistic Models
The 3rd International Seminar on Earth Sciences and Technology 2024, 18-19 September 2024, Bandung, Indonesia.
Development of An Early Cold Snap Warning System for Inland Fish Farming
2024 ICEO&SI Conference, June 29, 30 2024, Taoyuan-, Taipei. Taiwan.
From Observation to Impact: Flood Damage Assessment Tools Developed for Urban Areas.
Japan Geoscience Union Meeting 2024, 26-31 May 2024, Chiba, Japan.
Using the Bayesian theorem to assess flood damage in industrial areas in Taiwan.
Japan Geoscience Union Meeting 2024, 26-31 May 2024, Chiba, Japan.
Develop edge computing-based sensory networks to mitigate the effects of natural disasters.
The 11th International Symposium on Water Environment Systems—– with Perspective of Global Safety, 16-17 November 2023, Sendai Japan.
Application of Parallel Computing on Hybrid Inundation Model, Case Study: Chiayi County Flood 23-24 August 2018.
The 8th HYDRAULICS ENGINEERING INTERNATIONAL SEMINAR (HEIS), 2023, November, Jakarta, Indonesia.
Flood depth estimation for urban area using google earth engine and digital elevation based hydroprocessing models.
2023 AOGS, 2023, August, Singapore.
Managing flood risk during building construction process: A case study of Taichung International Convention and Exhibition Center.
2023 AOGS, 2023, August, Singapore.
Detailed flood mapping using Sentinel-1 images and digital elevation model.
2023 ICEO & SI Conference, 2023, June, Taipei, Taiwan.
Improvement of an Cellular Automata Model for Urban Flood Modeling.
Japan Geoscience Union Meeting 2026, 24-29 May 2026, Chiba, Japan.
Three Pathways for Physics Integration in Deep Learning: A Case Study on Fishpond Temperature Prediction.
Japan Geoscience Union Meeting 2026, 24-29 May 2026, Chiba, Japan.
Three Pathways for Physics Integration in Neural Network: A Case Study on Fishpond Temperature Prediction.
AI & Sustainability Forum: Exploring AI Across Sustainability Domains, 10 April 2026, Taipei, Taiwan.
Criticality of Ten-Minute Precipitation Resolution for Enhancing Flood Inundation Simulations in Rapidly Responding Basins.
Journal of Hydrology: Regional Studies, (under review)
A Statistically Integrated Approach for Assessing Typhoon-Induced Rainfall in Taiwan under Climate Change Scenarios.
Journal of Hydrology: Regional Studies, (revised)
Combining satellite imagery and digital elevation models to create flood depth maps for urban areas.
Taiwan Water Conservancy, accepted. (EI)
Using Physically Estimated Temperatures as Inputs to Enhance the Performance of an LSTM Model for Predicting Water Temperatures in Fishponds.
Smart Agricultural Technology, 101563. (N/M=4/126=3.17%, AGRONOMY, 2023)
Water, 17(18), 2739. (N/M=40/128=31.25%, WATER RESOURCES, 2023)
Physics-Informed and Regular LSTM Model Performance for Fishpond Temperature Prediction.
2025 ICEO&SI Conference, 3-4 July 2025, Miaoli, Taiwan.
Combining GenAI and IoT for Efficient Early Flood Warnings at the Community Level.
2025 ICEO&SI Conference, 3-4 July 2025, Miaoli, Taiwan.
Using Synthetic Information from Numerical Models as Inputs for Artificial Intelligence to Produce Detailed Flood Map: A Preliminary Study.
Japan Geoscience Union Meeting 2025, 25-30 May 2025, Chiba, Japan.
Using a Bayesian network model for typhoon rainfall prediction.
Japan Geoscience Union Meeting 2025, 25-30 May 2025, Chiba, Japan.
Water 2025, 17(7), 1055. (N/M=40/128=31.25%, WATER RESOURCES, 2023)
Smart Agricultural Technology, 100561. (N/M=4/126=3.17%, AGRONOMY, 2023)
A Method for Evaluating the Impact of Typhoon-Induced Rainfall in Taiwan under Climate Change Scenarios Based on Statistic Models
The 3rd International Seminar on Earth Sciences and Technology 2024, 18-19 September 2024, Bandung, Indonesia.
Development of An Early Cold Snap Warning System for Inland Fish Farming
2024 ICEO&SI Conference, June 29, 30 2024, Taoyuan-, Taipei. Taiwan.
Using the Bayesian theorem to assess flood damage in industrial areas in Taiwan.
Japan Geoscience Union Meeting 2024, 26-31 May 2024, Chiba, Japan.
From Observation to Impact: Flood Damage Assessment Tools Developed for Urban Areas.
Japan Geoscience Union Meeting 2024, 26-31 May 2024, Chiba, Japan.
Application of Parallel Computing on Hybrid Inundation Model, Case Study: Chiayi County Flood 23-24 August 2018.
In IOP Conference Series: Earth and Environmental Science (Vol. 1343, No. 1, p. 012017). IOP Publishing. (EI)
Develop edge computing-based sensory networks to mitigate the effects of natural disasters.
The 11th International Symposium on Water Environment Systems—– with Perspective of Global Safety, 16-17 November 2023, Sendai Japan.
Application of Parallel Computing on Hybrid Inundation Model, Case Study: Chiayi County Flood 23-24 August 2018.
The 8th HYDRAULICS ENGINEERING INTERNATIONAL SEMINAR (HEIS), 2023, November, Jakarta, Indonesia.
A Novel Multimodal Large Language Model-Based Approach for Urban Flood Detection Using Open-Access Closed Circuit Television in Bandung, Indonesia
・Water, 17(18), 2739. (N/M=40/128=31.25%, WATER RESOURCES, 2023)
・Water, 17(18), 2739. (N/M=40/128=31.25%, WATER RESOURCES, 2023)
Using Physically Estimated Temperature as Inputs to Enhance the erformance of the LSTM Model for Predicting Water Temperature in Fishponds
・Smart Agricultural Technology
・Smart Agricultural Technology
Combination of Large Language Models and Portable Flood Sensors for Community Flood Response: A Preliminary Study
・Water 2025, 17(7), 1055. (N/M=40/128=31.25%, WATER RESOURCES, 2023)
・Water 2025, 17(7), 1055. (N/M=40/128=31.25%, WATER RESOURCES, 2023)
