One of my research interest centres around tropical cyclones, their trends, intensities, and structures, with a focus on utilizing advanced microwave remote sensing technology, involving an altimeter, scatterometer and radiometer. Microwave remote sensing offers unique advantages in monitoring tropical cyclones, particularly during adverse weather conditions when other sensing methods may be limited. I investigate long-term trends of tropical cyclones to identify changes in frequency, intensity, and behaviour, contributing to our understanding of climate change impacts. Additionally, I am in developing an improved wind speed model to estimate cyclone intensity and maximum wind speeds to gain insights into cyclone dynamics. Through this research, it can offer a crucial and unique perspective on analyzing tropical cyclones that can be used to revisit long-term trend activity.

My research works also focused on the captivating and interrelated topics of El Niño and La Niña phenomena, through their ocean-atmosphere interactions, and their implications on climate dynamics. In this research scope, I delve into the distinct characteristics and impacts of El Niño and La Niña events specifically over the Northwest Pacific Ocean, using historical records to explore the underlying mechanisms driving these phenomena. Additionally, I investigate sea level anomalies and the thermosteric effect, which contribute to sea level variability during ENSO events, based on their relationships between El Niño/La Niña and sea surface temperature patterns in the marginal South China Sea region. Through this study, I am dedicated to investigating the effects of this event on the localized consequences and broader Earth's climate system.

In a more local context, I am also exploring the complex interplay of ocean-atmospheric phenomena and its impact on water sustainability in Malaysia. Through comprehensive research, I investigate the combined effects of El Niño-Southern Oscillation (ENSO), Madden-Julian Oscillation (MJO), Indian Ocean Dipole (IOD), monsoon systems, and Pacific Decadal Oscillation (PDO) on rainfall patterns using machine learning techniques. By developing reliable climatic models, my work aims to aid water resource management, disaster planning, and agricultural strategies. By considering the combined effects of ENSO, MJO, IOD, monsoon systems, and PDO, this research aims to estimate a more holistic rainfall patterns influenced by these climatic events in Malaysia. The significance of this research lies in its potential contributions to addressing water sustainability challenges and climate change impacts in Malaysia, providing valuable insights for government agencies and decision-makers in the field.