Projects
Selected research, software, and intelligent-system projects spanning manufacturing, healthcare, agriculture, biomedical signal analysis, and engineering decision support.
Distributionally Constrained Visual Measurement with UOT-DETR
A computer-vision framework that integrates unbalanced optimal transport with DETR training to improve wood-chip detection and size-distribution estimation for manufacturing quality monitoring.
Knowledge-Informed Constrained Learning for Extracapsular Extension Assessment
A knowledge-informed 3D medical-imaging framework that embeds lymph-node anatomy into representation learning and classification, combines mask-guided feature aggregation with self-supervised pretraining, and produces clinically grounded ECE predictions under limited supervision.
Wood-Chip Monitor: Real-Time Edge-AI Quality Evaluation
A portable NVIDIA Jetson and TensorRT platform that converts streaming RGB imagery into physical chip measurements, size-distribution analytics, oversize alerts, moisture estimates, and operator-facing decision support for biomass manufacturing.
PlantLife365: Multimodal Plant Health Monitoring and Decision Support
An IoT-enabled research platform connecting ESP32 environmental sensing and optional imaging with authenticated data ingestion, user-scoped monitoring, historical visualization, alerts, data export, exploratory machine-learning analytics, and an optional local AI assistant.
Graph-Based Polysomnography Analysis for Sleep-Stage-Specific ADHD Biomarkers
A graph-based machine-learning workflow that transforms multichannel polysomnography recordings into sleep-stage-specific connectivity features and evaluates their value for distinguishing ADHD and control participants.
P-DARTS Architecture Transferability for Skin Lesion Diagnosis
A controlled study of architecture-level transfer across dermoscopic, smartphone, and benchmark skin-lesion datasets using Progressive Differentiable Architecture Search.
Dynamic Building Risk Analysis
An interactive multi-hazard dashboard for exploring potential damage, expected annual risk, discounted cumulative exposure, and geospatial context for configurable building scenarios.