Ir. Prof. Dr. Huang Yuk Feng
Funding in UTAR
- trends in rainfall pattern and spatial variation - case study: langat river basin., UTARRF, May 2012 - April 2013.
- modelling water resources and stormwater management strategies for large scale dual-function rainwater tanks incorporating climate change and urbanisation scenarios, MOSTI SCIENCE FUND, January 2012 - September 2014.
- assessment of water resources vulnerability to climate change in highland region: a case study in cameron highlands, UTARRF, July 2014 - June 2015.
- meteorological drought forecasting for peninsular malaysia under climate change impacts, UTARRF, August 2015 - July 2016.
- stochastic weather generator for rainfall and its spatial-temporal variation analysis in an era of varying climate, MOHE - ERGS, June 2013 - October 2016.
- development of climate change decision support system for cameron highlands using driver, pressure, state, impact and response (dpsir) framework, UTARRF, February 2016 - January 2017.
- improving the performance of streamflow forecasting models using different data-preprocessing techniques: a case study in dungun river basin, terengganu, UTARRF, December 2016 - December 2017.
- the development of region specific urban rainfall-runoff prediction model, UTARRF, December 2016 - December 2017.
- reliability assessment of regional climate model (rcm) based on special report on emission scenarios (sres) for peninsular malaysia, UTARRF, July 2018 - June 2019.
- big data artificial intelligence models for drought
forecasting in a changing climate in malaysia, UTARRF, July 2018 - June 2019.
- potential evapotranspiration estimation in a changing climate in malaysia using machine learning along with data fusion techniques, UTARRF, December 2018 - December 2019.
- an integrated 3dimensional geo-database, flood inundation map and damage curve, and building information modeling (bim) data model, for risk assessment in oasis damansara areas, MOA - BRUNSFIELD ENGINEERING SDN BHD, June 2017 - June 2020.
- data mining and machine learning approaches in investigation of climate change impacts on reservoir storage changes, UTARRF, August 2020 - July 2021.
- reliability assessment of regional climate model based on representative concentration pathway for peninsular malaysia, MOHE FRGS, September 2019 - August 2021.
- advanced study on transport mechanism of the fine sediments in water bodies, UTARRF, December 2020 - December 2021.
- big data artificial intelligence models for sustainable dam water resources management, MOHE FRGS, January 2018 - December 2021.
- water quality index prediction using long short-term memory (lstm) deep learning method with signal preprocessing, UTARRF, December 2020 - December 2021.
- development of decision support framework for sustainability assessment and management in malaysia, UTARRF, December 2022 - December 2023.
- error analysis and machine learning-based blending of high resolution satellite precipitation estimations for extreme floods in malaysia, UTARRF, December 2022 - December 2023.
- a stochastic bi-objective fleet planning approach with victim behavior modeling for flood evacuation, MOHE FRGS, September 2022 - August 2024.
- long-term reference evapotranspiration forecasting by correlating remote sensing imagery with ground data via deep learning approach, MOHE FRGS, September 2022 - August 2025.
- two-dimensional deep learning long-term reservoir inflow forecasting considering the vagaries of climate change, MOHE FRGS, September 2022 - August 2025.
- integration of error analysis and machine learning technique in satellite precipitation estimations for extreme floods in malaysia, MOHE FRGS, October 2023 - September 2025.
Funding not in UTAR
- uncertainty analysis of climate
change impacts on components of
the hydrologic cycle and on water
resources policies, MOSTI SCIENCE FUND, April 2012 - December 2014.
- statistical analysis of potential evapotranspiration in malaysia, UCSI UNIVERSITY, August 2019 - July 2021.
- elucidating the underlaying role of input data uncertainty on the accuracy of drought farecasting models, MOHE FRGS, September 2021 - September 2023.