
Curriculum Vitae
KE-SHENG CHENG, Ph.D.
Title Professor
Mailing Address
Department of Bioenvironmental Systems Engineering
National Taiwan University, Taipei, Taiwan, R.O.C.
Telephone +886-2-2366-1568
Facsimile +886-2-2363-5854
E-mail rslab@ntu.edu.tw
EDUCATION
Ph.D. – Agricultural and Biological Engineering Department, University of
Florida
M.S. – Agricultural Engineering Department, National Taiwan University
B.S. – Agricultural Engineering Department, National Taiwan University
PROFESSIONAL EXPERIENCE
Professor, Department of Bioenvironmental Systems Engineering,
National Taiwan University (current position)
Associate editor, Terrestrial, Atmospheric and Oceanic Sciences (TAO)
(current position)
Managing Editor, International Journal of Paddy and Water Environment
(PWE) (current position)
Guest Professor, Division of Environmental Science and Technology,
Graduate School of Agriculture, Kyoto University, Japan.
Chairperson, Department of Bioenvironmental Systems Engineering,
National Taiwan University,
Guest Professor, Division of Environmental Science and Technology,
Faculty of Agriculture, Kyoto University, Japan
Visiting Scholar, Department of Geography, University of Southampton,
United Kingdom.
Secretary General of the Chinese Society of Agricultural Engineers
(CSAE-Taiwan)
Associate Professor, Agricultural Engineering Department, National
Taiwan University
Courtesy Professor, Mathematics Department, University of Florida
Division Head, Extension Division, Hydrotech Research Institute,
National Taiwan University
SPECIALIZATIONS
Remote sensing applications to hydrology, water resources management and
environmental monitoring
Stochastic hydrology
Hydrological modeling and design
Spatial statistics and spatial modeling
CURRENT RESEARCH INTERESTS
Evaluation of reservoir water quality and trophic state using satellite imagery.
Landslides identification and landuse change detection using satellite
imagery.
Scaling-up in hydrologic processes using remote sensing and spatial
statistics.
Random field simulation for probabilistic evaluation of lake trophic state.
Identifying zones of heavy metal contamination using multiple support
samples and kriging estimation.
Monitoring network design – comparative study of kriging approach and
information entropy approach.
Design storm hyetograph modeling
Channel network analysis
COURSES TAUGHT
Undergraduate level
Hydrology
Statistics
Applied Hydrology
Computer-Aided Hydrologic Design
Open Channel Hydraulics
Graduate level
Remote Sensing
Remote Sensing in Hydrology
Quantitative Remote Sensing
Bioenvironmental Remote Sensing
Estimation Theories and Their Applications in Hydrology
Time Series Analysis
Geostatistics
Ecological Engineering

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