Climate Change

The Climate Change group addresses real problems related to climate and environment by using mathematical and statistical tools. Current research interest includes studying the impacts of climate change at local spatial scales and at fine time resolution and also extreme events. This entails exploring the various methodologies of downscaling meteorological variables from global climate models (GCM) or regional climate models (RCM). Among the methods used are regression-based statistical downscaling methods (SDSM), canonical correlation analysis (CCA), artificial neural networks.

Fadhilah Yusof

Associate Professor

Head of Research Group

Expertise: applied statistics

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Samira Albati Kamaruddin

Senior Lecturer

Member

Expertise: water resources; hydrology and hydraulic engineering; surface water hydrology; groundwater hydrology; environmental issues

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Norzaida Abas

Senior Lecturer

Member

Expertise: statistical modelling; statistical application in hydrology; applied mathematics; statistical modeling in hydrology; agriculture; dengue cases. extreme rainfall projections

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Nor Eliza Alias

Senior Lecturer

Member

Expertise: extreme rainfall; tsunami; disaster; statistical analysis; probable maximum precipitation

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Shariffah Suhaila Syed Jamaludin

Senior Lecturer

Member

Expertise: applied statistics; environmental and hydrological statistics

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Norhaiza Ahmad

Senior Lecturer

Member

Expertise: statistics

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Norazlina Ismail

Senior Lecturer

Member

Expertise: -NA-

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Muhammad Fauzee Hamdan

Senior Lecturer

Member

Expertise: statistics; functional data analysis

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Ani Shabri

Senior Lecturer

Member

Expertise: artificial intelligence and time seriesy analysis

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