Projects

Human-Centered AI and Interactive Machines Lab / Ingenuity Labs Research Center

Ongoing Research Projects | 2025-Present

Implementing AI algorithms for pre-surgical decision-making for neurological diseases and in particular for epilepsy.
Analyzing the pipelines and monitoring systems in the hospital in order to develop programming code to make the processes more efficient.
Improving the algorithms designed to precisely detect hippocampal sclerosis measurements and MRI arterial spin labeling asymmetry detection (Kingston General Hospital Project).

Ongoing Research Projects | 2023-2025

Developed AI and ML models for time-series forecasting and anomaly detection applications (Bank of Montreal Project).
Identified critical research gaps and created multi-domain data systems using self-supervised learning techniques.
Authored scientific manuscripts, protocols, and grant applications, collaborating with researchers to ensure clarity, accuracy, and impactful delivery.

Research Assistant: Projects Overview | 2014 - 2023

Applied self-supervised contrastive learning with label information for low-rank, sparse, and orthogonal data representations using Lagrangian multipliers.
Developed an ECG prediction model for arrhythmia detection (including atrial fibrillation and myocardial infarction) using a resampling technique with orthogonality constraints (Kyungpook Hospital project).
Built a document translation system for high-cursive ancient documents for the Korean National Library, integrating detection, recognition, and translation modules (Korean National Cultural Project).
Implemented a low-shot image recognition model for blurry, noisy environments, focusing on edge-based representations for intra- and inter-features distinction for images at long stand-offs (LG project).
Created a contactless, robust palm-print recognition model using a deep convolutional network (Human-Robot Interaction project).
Developed a regularized, low-shot attention transfer model with t-normalization for classifying and translating ancient documents.

Research Assistant: Projects Overview | 2010 - 2013

Performed clustering on medical datasets, including breast cancer and ECG data, by integrating K-Means with evolutionary optimization algorithms such as the Imperialist Competitive Algorithm (ICA).
Implemented evolutionary algorithms (Imperialist Competitive Algorithm and Particle Swarm Optimization) in conjunction with conventional controllers.