Sonain Jamil is currently a PhD student at the University of Technology Sydney, Australia. He holds two master’s degrees: a master’s degree in Electronics Engineering with a major in Image Processing from Sejong University, Republic of Korea, completed in 2023, and an Erasmus Mundus Joint Master Degree in Computational Colour and Spectral Imaging (COSI), completed in 2025 through NTNU, Université Jean Monnet Saint-Étienne, and the University of Eastern Finland.
During his academic journey, he gained research experience across multiple international institutions. He worked as a Graduate Research Assistant in the Image Processing Lab at Sejong University, where he contributed to research in image processing, computer vision, deep learning, machine learning, image compression, JPEG Snack, JPEG AI, colour coordinate conversion, unmanned aerial systems, non-terrestrial networks, autonomous vehicles, and federated learning. He also worked for six months at the LIUM Laboratory, Le Mans University, France.
He has been an active reviewer for reputed journals including Elsevier Engineering Applications of Artificial Intelligence. His research interests include image processing, computer vision, machine learning, deep learning, wireless communication, next-generation networks, image compression, non-terrestrial networks, colour and spectral imaging, and medical image processing.
Sonain Jamil is currently a PhD student at the University of Technology Sydney, Australia. He holds two master’s degrees: a master’s degree in Electronics Engineering with a major in Image Processing from Sejong University, Republic of Korea, completed in 2023, and an Erasmus Mundus Joint Master Degree in Computational Colour and Spectral Imaging (COSI), completed in 2025 through NTNU, Université Jean Monnet Saint-Étienne, and the University of Eastern Finland.
During his academic journey, he gained research experience across multiple international institutions. He worked as a Graduate Research Assistant in the Image Processing Lab at Sejong University, where he contributed to research in image processing, computer vision, deep learning, machine learning, image compression, JPEG Snack, JPEG AI, colour coordinate conversion, unmanned aerial systems, non-terrestrial networks, autonomous vehicles, and federated learning. He also worked for six months at the LIUM Laboratory, Le Mans University, France.
He has been an active reviewer for reputed journals including Elsevier Engineering Applications of Artificial Intelligence. His research interests include image processing, computer vision, machine learning, deep learning, wireless communication, next-generation networks, image compression, non-terrestrial networks, colour and spectral imaging, and medical image processing.