ai-health AI-Driven Light Exposure Classification ML framework for circadian health phenotyping from wearable sensors Multimodal Depression Detection via Smartphone Sensing Machine learning biomarker discovery for depression using passive smartphone sensor data PrimeKG-RGCN Drug-Disease Link Prediction Graph neural networks for computational drug discovery Multi-Omics Integration with Autoencoders and Graph Neural Networks Open-source framework for extreme-scale multi-omics data integration 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 ai-tools LitScribe - Autonomous Academic Synthesis Engine Multi-agent literature review system using Model Context Protocol for deep cross-paper synthesis and gap analysis 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