Employment and Education
Postdoctoral Fellow
Centre for Neuroscience Studies, Queen's University | Kingston, Canada
April 2025 - October 2026
- Developing reasoning-enabled multimodal language models to enhance explainability and fairness for time series.
- Implementing AI-based arterial spin labeling MRI pipeline for epilepsy detection and presurgical decision-making.
- Developing foundational AI models for neurological disease detection and prediction for clinical use in hospitals.
- Collaborating on hippocampal sclerosis asymmetry size calculation in epileptic patients.
Postdoctoral Fellow
Department of Electrical and Computer Engineering and Ingenuity Labs Research Institute, Queen's University | Kingston, Canada
April 2023 - April 2025
- Developed a hierarchical uniformity-tolerance latent balancing model for time-series representation learning.
- Collaborated on a multi-domain EEG representation learning model for cognitive load classification.
- Analyzed temporal and spatial characteristics of time-series data for prediction and anomaly detection.
- Conducted bio-signal and medical signal analysis with multimodal fusion.
Postdoctoral Fellow
KNU-LG Electronics Convergence Research Center, AI Institute of Technology | Daegu, South Korea
September 2021 - March 2023
- Developed a Transformer-based model for predicting mortality and length of stay using ICU data.
- Created AI algorithms to predict neurological prognosis in critically ill patients, enhancing critical care outcomes.
- Established a patient-specific big data infrastructure and developed an AI-based clinical decision support system.
- Implemented long-tailed data distribution learning model, addressing challenges in low-shot medical data samples.
- Applied self-supervised model distillation techniques to manage long-tailed imbalanced data distributions.
Education
PhD in Electronic and Electrical Engineering
Kyungpook National University (KNU) | Daegu, South Korea
September 2016 - August 2021
- GPA: 97.8/100
- Served as a research and teaching assistant; recipient of a full graduate scholarship from the School of Engineering.
- PhD Thesis: "Low-Shot Imbalanced Data Regularizations for Long-Tailed Image Classification and Medical Series Prediction," supervised by Prof. Giljin Jang and Prof. Minho Lee.
- Awarded Best PhD Thesis
Master's in Electronics Engineering
Kyungpook National University (KNU) | Daegu, South Korea
April 2014 - August 2016
- GPA: 95.2/100
- Research assistant with a full KINGS graduate scholarship from the School of Engineering.
- Master's Thesis: "Sensitivity and Robustness Regularizations in Convolutional Neural Networks," supervised by Prof. Minho Lee.