Prof. Pornchai Supnithi received Ph.D. in electrical Engineering from Georgia Institute of Technology, USA. He is currently a full professor in the Telecommunication Engineering Department, School of Engineering, at King Mongkut's Institute of Technology Ladkrabang, Thailand. His research interests are in the areas of Telecommunications, Ionospheric study and GNSS, Data storage and Engineering Education. Dr. Ercha Aa obtained his Ph.
D. from Peking University. Currently he is a Research Scientist at the National Space Science Center, Chinese Academy of Sciences, Beijing. His research interests are on the physics of the Earth&s ionosphere and thermosphere and space weather. He has studied ionosphere-thermosphere storm effects, multi-scale ionospheric plasma irregularities and traveling ionospheric disturbances, ionospheric empirical modeling and data assimilation, subauroral and mid-latitude ionospheric dynamics through a combination of space-borne and ground-based observations. He has extensive experience with a number of space missions, including but not limited to GOLD, ICON, C/NOFS, COSMIC, Swarm, DMSP, and CHAMP, and ground-based instruments such as GNSS network, Ionosonde, incoherent/coherent scatter radar, Fabry-Perot Interferometers, as well as magnetometers. Dr. Septi Perwitasari obtained her Ph.
D. from Tohoku University, Japan. Currently she is a Senior Researcher at the National Institute of Information and Communications Technology, Japan. He research interest is on data analysis, simulation, and algorithm development using image and movie data taken by satellite and ground-based instruments such as GPS, airglow imager, and ionosonde. Dr. Lin Min Min Myint is currently a lecturer at the School of International and Interdisciplinary Engineering, School of Engineering, King Mongkut&s Institute of Technology Ladkrabang, Thailand. He received his doctoral degree in Information Technology from Shinawatra University, Thailand. His research interests include signal processing for data storage and Global Navigation Satellite Systems (GNSS), as well as the application of machine learning in space weather studies.