My research interests include   

• Noisy & High-Dimensional Data Processing 

• Ensemble Learning & Medical Classification 
•  Adaptive Feature Weighting 
•  Graph Neural Networks (GNNs) & Relation Topology 

• Python & PyTorch: I leverage these for end-to-end machine learning development—from data preprocessing and  neural network architecture design for deep learning and ensemble models. 
• MATLAB: I utilize MATLAB for numerical analysis, algorithm prototyping, and—most critically—for signal processing. It was essential in my ECG work for filtering, feature extraction, and initial data exploration.