Ongoing core research projects, intelligent systems development, and open-source scientific tools.
Investigating parameterized quantum circuits and data re-uploading techniques for high-sensitivity medical imaging anomalies. Applying Variational Quantum Classifiers (VQC) to improve MRI brain tumor classification and detection performance.
A web-based dataset collection and management platform built for our BDT (Bangladeshi Taka) note research — streamlining the process of gathering, labeling, and organizing image datasets for computer vision model training.
Designing highly efficient algorithms, custom edge computational runtime orchestration pipelines, and low-latency IoT frameworks to address physical deployment challenges in healthcare, precision agriculture, and autonomous industrial systems.
