GAIR Lab
The homepage of the Laboratory for Generative AI Solutions for Information Retrieval Applications (GAIR 🍀) at the School of Computing Science, University of Glasgow. GAIR-Lab is led by Prof. Joemon Jose.
GAIR Lab is committed to researching generative artificial intelligence solutions for multimedia tasks, including Information Retrieval (multi-modal recommendation, multi-modal retrieval, efficient multi-modal representation, etc.) and Social Media Analytics (multi-modal sentiment analysis, event detection from social streams, expression recognition, etc.), etc.
Our lab is actively seeking self-motivated Ph.D. students with a strong background in AI. If you’re interested, please don’t hesitate to reach out via email.
Latest News:
Our lab will organize EReL@MIR Workshop in WWW2025, the submissions are welcome!
The website link is at https://erel-mir.github.io/,
the submission link is https://easychair.org/conferences/?conf=erelmir2025.
Information Retrieval
We investigate intelligent solutions to information retrieval problems, including information retrieval/recommendations and multi-modal retrieval/recommendations.
Current Research themes
We focus on exploring generative AI solutions to various information problems, including:
- Recommendation, with a special emphasis on Multimodal Recommendation
- Multimodal LLMs
- Image sentence retrieval
- Facial Action Units recognition
- Facial Expression detection
- Conflict Detection on social media
- Legal Prediction & Judgement Generation
Overall, our approach is centred around leveraging Large Language Models to address such research problems.
Our team
GAIR Lab is now recruiting self-motivated Ph.D. students with strong AI backgrounds.