Research
Dr. Jin's research applies advanced analytics methods involving semantic computing and machine learning across several interdisciplinary domains.
Medical Image Analysis
Machine learning and deep learning for medical diagnostics — organ segmentation on CT/MRI scans, automated hepatocellular carcinoma detection via LI-RADS classification, and reinforcement-learning-based health recommendation systems.
AI in Education
Generative AI tools for computing instruction — GPT-empowered personalized eLearning for programming languages, LLM benchmarking for educational use, and VR-based programming environments. Investigating how ChatGPT functions as a programming tutor.
Semantic Computing & Graph Analytics
Graph-based OLAP, influence maximization in social networks, and network analysis methods. Research into how semantic computing and big data technologies intersect to enable smarter analytical platforms.
Software Engineering for Intelligent Systems
Software architectures for ML model development and deployment, autonomous systems with MAPE-K feedback loops, and mobile application offloading patterns for service-based architectures.