Graph ML
Graph Intelligence
Ontology-aware heterogeneous GNNs for incomplete archaeological ceramics.
98.33% accuracy
Project archive
Graph ML
Ontology-aware heterogeneous GNNs for incomplete archaeological ceramics.
98.33% accuracy
LLM / RAG
Benchmarking sparse vs dense retrieval and local LLM grounding.
100 test queries
Computer Vision
Video-based sprint velocity estimation using YOLOv8, MediaPipe, and homography calibration.
5 Markers planar calibration
Recommendation
Heterogeneous GNNs with reinforcement learning.
Personalized ranking
Software
Gym management system with biometric access control.
Member tracking