Proceedings of the 9th International Conference on Space Science and Communication

Dr. Mohd Fais Bin Mansor is an associate professor at Universiti Kebangsaan Malaysia (UKM), focusing on antenna technology, RF circuits, metamaterials, and radio wave propagation. With a Ph.D. in Antennas and Propagation from the University of Surrey, UK, his work has advanced MIMO systems, particularly in the field of wireless and satellite communications.Dr. Mohd Hafiz Baharuddin obtained his Ph.D. in Electrical and Electronic Engineering with the University of Nottingham, UK.  He is currently working as a senior lecturer in the Department of Electrical, Electronic, and Systems Engineering, Universiti Kebangsaan Malaysia. His research interests include modeling and experimental methods in electromagnetic compatibility focusing on the characterization of the stochastic electromagnetic fields in the near field, metamaterials and microwave imaging. Prof. Mohammad Tariqul Islam is currently a professor with the Department of Electrical, Electronic, and Systems Engineering, Universiti Kebangsaan Malaysia (UKM), and a visiting professor with the Kyushu Institute of Technology, Japan. His research interests include communication antenna design, metamaterial, satellite antennas, and microwave imaging. Dr. Siti Aminah Bahari is a researcher officer at the Space Science Centre (ANGKASA), Institute of Climate Change, Universiti Kebangsaan Malaysia (UKM). Her research focuses on the impacts of space weather on Global Positioning System (GPS) and ionospheric disturbances, with particular emphasis on Total Electron Content (TEC) studies. She holds a Ph.D. and master’s in Electrical, Electronic, and System Engineering, as well as a bachelor’s in physics.

• 1. Monitoring the Impacts of Active Region 3664: A G5-Class Geomagnetic Storm Event Observed from Malaysia in May 2024.- 2. Deep Learning Recurrent Neural Network for Low-Latitude Geomagnetically Induced Current Prediction with Imputation and Rare-Event Detection.- 3. Comparative Analysis of Machine Learning Algorithms for Classifying Geomagnetic Storm Severity Using the SYM-H Index.- 4. Comparison of Meteorological Data from Principal Stations and Automated Weather Stations (AWS) in Malaysia: A Case Study Approach.- 5. CNN-LSTM for Classifying Pi2 Pulsation Occurrences from Raw Geomagnetic Data.- 6. Observation of Equatorial Plasma Bubbles using Geostationary Beidou Satellites and All-sky Imager.- 7. The Relationship of the EEJ Current on a Buried Gas Pipeline Impressed Current Cathodic Protection System.- 8. Train Localization Using GNSS – An Introduction of concept Study for Malaysian Railway System.