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Resume (English only)
Academic Achievements
Published paper 'WATT-EFFNet: A Wider ATTention EFFicientnet for Effective and Efficient Aerial Imagery Disaster Classification' and achieved SOTA performance on the AIDER dataset.
Research Experience
Applied contrastive learning for effective and efficient dehazing; proposed WATT-EffNet model for efficient classification of disaster images captured by UAVs.
Education
Ph.D. candidate, School of Electrical and Electronic Engineering (EEE) and Air Traffic Management Research Institute (ATMRI), Nanyang Technological University (NTU), Singapore.
Background
Ph.D. candidate in the School of Electrical and Electronic Engineering (EEE) and the Air Traffic Management Research Institute (ATMRI) at Nanyang Technological University (NTU), Singapore. Main research interests include computer vision and image processing, with a focus on addressing problems arising from low-data availability.
Miscellany
Runs a blog discussing various machine and deep learning ideas and principles; enjoys photography, as evidenced by a sunset photo taken in Kyoto, Japan.