Predictive Analytics for Structural Health Monitoring (Undergraduate Thesis)
Continuous fault monitoring in large machinery using real-time vibration data and Machine Learning, advancing fault detection methodologies.
ML
Supernumerary Robotic Fingers (SRF)
enhancing human hand capabilities for therapeutic recovery using Machine Learning and Control Systems.