Research

I am particularly interested in building machine learning systems that are not only effective but also interpretable, resource-efficient, and deployable in real-world settings.

Research Interests

—Computer Vision

—Explainable Artificial Intelligence

—Reinforcement Learning

—Foundation Models

—Geospatial Intelligence

—Biomedical Signal Processing

—Human-AI Interaction

—Edge AI

Publications

XAI-Driven sEMG Feature Analysis for Hand Gestures2024

2024 Third International Conference on Power, Control and Computing Technologies (ICPC2T)

This work investigates the use of Explainable AI techniques to understand machine learning models used for hand gesture recognition from surface electromyography signals. The research combines feature engineering, ensemble learning, and interpretability methods to create transparent classification systems for biomedical applications.