Toufique Hasan

Md Toufique Hasan is a Doctoral Researcher at Tampere University focusing on Retrieval-Augmented Generation (RAG), Agentic RAG, and Agentic AI. His research explores how intelligent retrieval and reasoning agents can make LLMs more reliable, transparent, and grounded in real-world information. Toufique’s work combines system engineering, evaluation, and deployment of AI-driven knowledge systems across different domains.

• Retrieval-Augmented Generation (RAG) Systems
• Agentic RAG
• Agentic AI
• Information Retrieval
• AI Agents

Generative AI in Software Engineering

• Hasan, M. T., Waseem, M., Kemell, K.-K., Khan, A. A., Saari, M., & Abrahamsson, P. (2025). Engineering RAG Systems for Real-World Applications: Design, Development, and Evaluation. In D. Taibi & D. Smite (Eds.), Software Engineering and Advanced Applications (pp. 143–158). Lecture Notes in Computer Science, vol. 16082. Springer. https://doi.org/10.1007/978-3-032-04200-2_10
• Khan, A. A., Hasan, M. T., Saari, M., Kemell, K.–K., & Rasku, J. (2025). Why Adapt RAG for Agile? Challenges, Frameworks, and the Role of Evaluator Agent. In Agile Processes in Software Engineering and Extreme Programming – Workshops (Lecture Notes in Business Information Processing, Vol. 561, pp. 22–31). Springer Cham. https://doi.org/10.1007/978-3-032-05799-0_3
• Khan, A. A., Hasan, M. T., Kemell, K.-K., Rasku, J., & Abrahamsson, P. (2024). Developing Retrieval Augmented Generation (RAG) based LLM Systems from PDFs: An Experience Report. arXiv preprint arXiv:2410.15944. https://arxiv.org/abs/2410.15944