- Program Committee member of: SIGMOD 2025, VLDB 2025, VLDB 2024, ICDE 2023, etc.
- Regularly review for a number of international journals: ACM Transactions on Database Systems (TODS), The International Journal on Very Large Data Bases (VLDB Journal), etc.
Research Experience
- A Linked Data Science Knowledge Graph Platform
- A GNN- and LLM- Enabled Knowledge Graph Platform
- An LLM-based Chatbot Platform for Knowledge Graphs
- Automating Data Preparation and Feature Discovery Pipelines
- A Cyber Threats Hunting Platform Powered by Graph Neural Networks
Background
Associate professor in the Department of Computer Science and Software Engineering at Concordia University in Montreal and the head of the Cognitive Data Science (CoDS) lab. Research program focuses on developing systems for Linked Data Science on federated and big datasets. Research interests are in the broad areas of knowledge graphs, graph neural networks, large language models, parallel/distributed systems, and data management.