Changkyu Choi

Changkyu Choi is a Postdoctoral Fellow in Machine Learning at the Department of Physics and Technology, UiT The Arctic University of Norway. He is affiliated with the Machine Learning Group in Forskningsparken 1 B201.

His research focuses on applying deep learning and machine learning to marine acoustics, with an emphasis on semisupervised learning, explainability, and underwater exploration. Key trends in his work include information-theoretic approaches, metric learning, and autonomous systems for marine data analysis.

Choi has published extensively on topics like target classification in echosounder data, visual explanations for document QA, and entropy regularization in distributed learning. His collaborations span institutions in Canada, Europe, and Norway.

He contributes to projects such as "Developing and deploying machine learning methods for acoustic data" (2022) and is involved in workshops like the COGMAR/CRIMAC event on fisheries acoustics.