Publons/WoS profile | Scopus profile | ORCID profile | Google Scholar profile | 台北科大學術資源網 | PURE (Test) | PURE
Publons/WoS profile | Scopus profile | ORCID profile | Google Scholar profile | 台北科大學術資源網 | PURE (Test) | PURE
Prof. Walter Chen holds multiple academic degrees from prestigious institutions in Taiwan (ROC) and the United States: a B.S. in Civil Engineering from Taiwan University, an M.S. in Geotechnical Engineering from Purdue University, an M.S. in Computer and Information Science from Purdue University, and a Ph.D. in Geotechnical Engineering from Purdue University.
Before transitioning to academia, Prof. Chen gained extensive professional experience in both construction and software development. He contributed to the Taipei Metro project as part of the Joint Venture of TPE and RODIO and later worked in software development at re:Member Data Services in Indianapolis. He subsequently joined the National Taipei University of Technology, where he has made significant contributions as a researcher, educator, and innovator.
Since his academic appointment, Prof. Chen has undertaken numerous research projects, earned three patents, and published extensively in diverse fields. His research spans seismic pipeline analysis, soil bioengineering applications, slope stability optimization using particle swarm optimization (PSO), and soil erosion modeling using machine learning. Among his notable contributions are:
Pioneering the integration of particle swarm optimization (PSO) into slope stability analysis.
Identifying and correcting a pervasive error in soil erosion research involving the misuse of rainfall erosivity (R) equations based on the Modified Fournier Index (MFI). A thorough literature review uncovered 125 papers, published since 1989 in reputable journals, that used 28 incorrect R equation formulations. These studies, predominantly from Asia (China and India), have been collectively cited over 3,300 times, making this one of the most widespread and unnoticed errors in soil erosion studies for more than 33 years.
Revising the Sediment Delivery Distributed (SEDD) Model to develop and publish the Revised Sediment Delivery Distributed (RSEDD) Model.
Utilizing machine learning techniques to predict soil erosion depth.
Collaborating with over 60 internationally recognized experts in soil erosion to develop the Global Applications of Soil Erosion Modeling Tracker (GASEMT) database.
Applying the slope unit method to soil erosion analysis for the first time.
Conducting the first comprehensive computation and analysis of island-wide soil erosion rates in Taiwan.
Employing the Unit Stream Power-based Erosion Deposition (USPED) model to study soil erosion and deposition in Taiwanese watersheds.
Evaluating the impacts of climate change on global vegetation growth.
Enhancing the assessment of the cover management factor through the application of the Synthetic Minority Oversampling Technique (SMOTE).
Innovating the use of internet news-based data to assess rockfall hazards across Taiwan’s road systems.
Prof. Chen has also contributed to academic publishing as a guest co-editor for special issues of Ecological Engineering (2010), Remote Sensing (2020, 2022), Sustainability (2021), ISPRS International Journal of Geo-Information (2022), and Materials (2022). His dedication to teaching and mentorship has earned him numerous accolades, including the University’s Best Mentor Award (2012), the Outstanding Teacher Award (2016), and another Best Mentor Award (2016).
In addition to his academic career, Prof. Chen served as a visiting scholar at the University of Memphis and the University of Maine during the summers of 2001 and 2002, respectively.
Prof. Walter Chen, Ph.D. (陳偉堯)
Department of Civil Engineering, National Taipei University of Technology
1 Sec. 3 Chung-Hsiao E. Rd., Taipei 10608, Taiwan ROC
E-mail: waltchen (at) ntut.edu.tw
Tel: 886-2-2771-2171 Ext. 2628
國立臺北科技大學土木工程系陳偉堯老師誠徵博士後研究員1名
應徵資格:
具土木水利、大地工程、水土保持、遙感探測、環境科學、地理科學、空間統計或相關理工領域博士學位者。
工作內容:
運用機器學習與深度學習,進行土壤沖蝕、地滑、落石、野溪流速等相關研究與分析;協助研究計畫執行、計畫書與期刊論文撰寫,並協助指導研究生論文。
所需專長:
具良好統計分析能力,熟悉GIS軟體操作,具遙測影像分析經驗者尤佳;具機器學習或深度學習模型開發經驗者佳;熟悉R與Python程式語言。
工作時間:
週一至週五,日班,每日工作9小時(含休息1小時)。
工作待遇:
依本校博士後研究員薪資標準表支薪,並依《國立臺北科技大學奬助研究績優教師聘任研究人員辦法》辦理。每年進行績效考核,並須協助績優教師達成論文發表點數。
工作地點:
國立臺北科技大學土木工程學系陳偉堯老師研究室。
應徵文件(電子檔):
履歷表、自傳、大學及研究所成績單、大學及研究所畢業證書、博士論文、兩位推薦人聯絡方式(不需附推薦信),以及其他有利於應徵之資料。
聯絡方式:
即日起請將應徵資料寄至waltchen(at)ntut.edu.tw,郵件主旨請註明:「應徵博士後研究員-您的姓名」。本職缺採隨到隨審,合適者將通知面試。
Nguyen, K. A., & Chen*, W. (2026). Scenario-Based Analysis of Rainfall Erosivity Trends in Taiwan. https://doi.org/10.1016/j.indic.2026.101232