Intelligent biomedical systems
A research program exploring AI, biomedical signal processing, intelligent sensing, and emerging computational approaches for non-invasive healthcare technology.
Biomedical signals → ECG → EEG → AI → explainability → uncertainty → quantum-inspired computing → BCI → intelligent sensing.
MedQuantum-NIN
Quantum-Inspired Framework for Uncertainty-Aware ECG Signal Intelligence
Computational framework for ECG interpretation combining biomedical signal processing with uncertainty-aware AI, explainability, and clinical decision support.
MedQuantum-EEG
Intelligent EEG Analysis Platform
Adaptive EEG framework integrating biomedical signal processing, explainable AI, and machine learning for scalable brain-signal interpretation.
NeuroQuantum
Hybrid Quantum-Classical Framework for Adaptive EEG Analysis in BCIs
Investigating hybrid quantum-classical ML for EEG feature representation, model explainability, and adaptive learning in Brain–Computer Interfaces.
NeuroSense-X
AI-Based Cranial Mechanical Resonance Mapping
Portable biomedical research platform for cranial mechanical behavior using bone-conducted vibration, MEMS accelerometers, embedded systems, and AI signal analysis.