معرفی
Hossein Fani is a Professor of Computer Science at the University of Windsor, affiliated with the Faculty of Science. He leads the Graph Neural Network Lab, focusing on AI-driven solutions for team recommendation, graph-structured data analysis, and online grooming detection. His work integrates machine learning, natural language processing, and social network analysis to address challenges in collaborative systems and cybersecurity.
Research Interests:
- Graph Neural Networks
- Expert Team Formation Algorithms
- Query Refinement and Backtranslation Techniques
- Online Safety and Grooming Detection
- Latent Aspect Detection in Text
Key Projects include the Graph Neural Network Lab, where his team applies neural networks to graph-structured data, and the development of tools like RePair and LADy for query refinement and aspect detection. He has advised students such as Christine Wong, Farinam Hemmatizadeh, and Soroush Ziaeinejad on projects involving customer feedback analytics and team recommendation systems. His work has contributed to NSERC-funded grants for research infrastructure in the Faculty of Science.
Labs/Teams:
- Graph Neural Network Lab
- RePair Toolkit Development
- OpeNTF Benchmark Library
