ai-health AI-Driven Light Exposure Classification ML framework for circadian health phenotyping from wearable sensors PrimeKG-RGCN Drug-Disease Link Prediction Graph neural networks for computational drug discovery Machine Learning Biomarkers for Suicide Risk Assessment in Depression Identifying NR3C1a and HSPA1B as genetic biomarkers for suicide risk in MDD using machine learning and gene expression analysis U-Net for Skin Lesion Segmentation Complete implementation with LabelMe annotation, model training, validation, and PyQt5 GUI wearable-sensing Wearable Optical Sweat Analytics Microfluidics and RGB colorimetry for biomarker detection Microfluidic Concentration Gradient Chip for Drug Susceptibility Dean vortex secondary flow mixing for high-throughput biochemical applications signal-processing Multi-Parameter Physiological Monitoring System Real-time monitoring of ECG, SpO2, respiration, temperature, and blood pressure with Qt/QML desktop and web interfaces Android Sleep Quality Monitoring System BEng thesis, 80% accurate sleep quality monitoring using phone sensors with volunteer validation instrumentation Fluorescence-Based Fire Safety Monitoring System Smart monitoring system using fluorescence sensing for temperature, humidity, and fire detection in buildings and tunnels Thermal Cycling Device for Fluorescence Quantitative PCR Research project on thermal cycling system design for qPCR instrumentation other Quantitative Investment Strategies in Cryptocurrency Markets Research on profitability of different investment strategies in cryptocurrency trading