Dr. John Soo grew up in Kluang, Johor. Since young, he always loved astronomy, and gets really excited when learning about the planets, stars and the mysteries of the universe. After STPM, he obtained a bachelor’s degree in physics at the National University of Singapore, and later a PhD in physics and astronomy at University College London, UK. Currently Dr. John is a senior lecturer at the School of Physics, USM, where he teaches courses on astronomy and a co-curricular course on AI literacy. He is a heavy user of machine learning methodologies to solve research problems in astrophysics (photometric redshifts, galaxy morphology).
Dr. Syarawi specializes in oceanography and microwave remote sensing, studying extreme phenomena like tropical cyclones, extreme rainfall, heatwaves, and climate variations, including El Niño/La Niña, the Indian Ocean Dipole, monsoons, and the Madden-Julian Oscillation, with a focus on the South China Sea. His research advances understanding of ocean-atmosphere dynamics and climate science using satellite data, MATLAB, and machine learning.
Dr. Omar specializes in Computational Nuclear Physics, using the Monte Carlo method to simulate muon spin dynamics and neutron transport. He leads the collaborative research between USM and RIKEN on integrating Machine Learning into muon spin spectroscopy.
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