معرفی
Arijit Khan is an Associate Professor in the Department of Computer Science at Aalborg University, Denmark. He leads the Data Engineering, Science and Systems group and is affiliated with the Technical Faculty of IT and Design. His research focuses on Graph Neural Networks, Blockchain, Data Management, and AI interpretability. He is the Principal Investigator (PI) of a major project on Data Management, Fundamental Algorithms, and Machine Learning for Emerging Problems in Large Networks (2022–2027).
Research Interests:
- Graph Data Management & Machine Learning
- Blockchain Transaction Analysis
- Large Language Model + Knowledge Graph Synergies
- Healthcare AI (e.g., ICU glucose prediction)
- Explainable AI for Graph Neural Networks
Research Trends: His publications emphasize neuro-symbolic systems, uncertain graph analysis, and AI-driven blockchain insights. Recent work bridges large language models with knowledge graphs and explores GPU performance optimization via shader code analysis.
Awards & Grants: No explicit awards listed, but his active research grants include a 5-year project on large network analysis with interdisciplinary applications in life and health sciences. Funding emphasizes algorithmic innovation and data science integration.
Labs/Teams: Head of the Data Engineering, Science and Systems research group, focusing on AI for societal impact ('AI for the People') and scalable graph data systems. Collaborations span blockchain analytics, healthcare informatics, and GPU architecture design.
