Scholar
Mir Nafis Sharear Shopnil
Google Scholar ID: pZ70qSoAAAAJ
Queen Mary University of London
Citations & Impact
Citations
11
H-index
2
i10-index
0
Publications
4
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Paper on agentic framework for misinformation detection with rationale generation submitted to ACM Web Conference 2026; Paper on evidence-grounded multimodal misinformation detection submitted to ACL ARR; Published 'Demystifying Black-box Learning Models of Rumor Detection from Social Media Posts' at IEEE UEMCON, 2021.
Research Experience
- AI Engineer at Technovative Solutions, leading agentic AI for EU climate projects. Research Fellow with the Fatima Fellowship, designed agentic multimodal misinformation detection pipeline orchestrating large vision-language models with web and reverse-image search.
Education
- MSc in Artificial Intelligence from Queen Mary University of London; BSc in Computer Science from BRAC University.
Background
- An AI researcher and engineer interested in understanding how models coordinate, reason, and make decisions. His work involves building multi-agent systems with large language models, developing interpretable AI architectures, and training foundation models for real-world applications.
Miscellany
- Interests include overcoming imposter syndrome and understanding causal model induction in neural networks for interpretability.
Co-authors