Authored over 38 publications, including journal articles, conferences, and patents, featured in venues like NeurIPS, IEEE Transactions, and Elsevier, accumulating 830+ citations, with an h-index of 16. Contributed to securing research funding and grants, supporting the expansion and development of innovative projects. Co-supervised 12 researchers (4 PhD and 8 MSc students), providing mentorship to support their academic and professional development.
Research Experience
1. Postdoctoral Fellow at Queen’s University’s Centre for Neuroscience Studies & Ingenuity Labs Research Institute, developing AI pipelines for epilepsy detection and presurgical decision-making using arterial spin labeling MRI and foundational models for neurological disease prediction.
2. Postdoctoral Fellow in ECE & Ingenuity Labs at Queen’s since Apr 2023, working on hierarchical time-series representation learning and multi-domain EEG modeling for cognitive-load classification.
3. At KNU-LG Convergence Research Center in South Korea from Sept 2021–Mar 2023, building Transformer-based ICU outcome predictors and AI clinical-decision support systems.
Education
Ph.D. (with Best Thesis Award) in Electronic & Electrical Engineering from Kyungpook National University, August 2021. Advisor information not provided.
Background
Research interests include deep learning and foundation models, medical and biomedical AI, long-tailed and low-shot learning, multimodal fusion, computer vision and imaging, and applied machine learning. Focused on advancing technical expertise in artificial intelligence and contributing actively to the research community.