Ahmed Sabir

Ahmed Sabir is a postdoctoral researcher at the Institute of Computer Science, University of Tartu, focusing on AI Ethics (biases, fairness, and explainability in Large Language Models). He earned his Ph.D. in Computer Science from Universitat Politècnica de Catalunya (BarcelonaTech) in 2020 and an MSc from Kanagawa Institute of Technology under the Masuda AI lab.

• Current Research: Biases in LLMs, Explainable AI, Multimodal Fact-Checking
• Past Work: Gesture recognition, OCR correction via visual semantics, Image captioning

Research Interests span Natural Language Processing, Computer Vision, and their intersection in Vision-Language Models and AI Ethics. His work emphasizes

• Context-aware multimodal learning
• Bias measurement and mitigation
• Efficient post-processing techniques

Scientific Contributions include 15+ peer-reviewed publications at venues like ACL, EMNLP, CVPRW, and COLING, with datasets and re-ranking frameworks for vision-language tasks. Notable achievements:

• Driven advancements in semantic relatedness for OCR correction
• Developed visual grounding techniques for captioning
• Created benchmark datasets for text spotting
• Explored gender bias in genderless languages

Technical Expertise includes

• Measurement electronics for industrial tools
• LaTeX thesis template development
• Participated in 48-hour Mobility Hackathon (2017)