Research publications
Kauttonen, J.; Khan, U. A. and Kudryavtsev, D. (2026). CURACT: A Curation-Anchored Framework for Generative-AI Report Writing in Knowledge-Intensive Expert Work. In Proceedings of the 18th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management – Volume 2, ISSN 2184-3228, pages 905-914. In press.
Kudryavtsev, D.; Kantosalo, A.; Khan, U. A. and Leskinen, A. (2026). Towards LLM-Powered AI Help Desks for EDIHs: A Service-Orchestration and Knowledge-Access Artefact for Networked Organisations. In Proceedings of the 18th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management – Volume 2: KMIS; ISBN 978-989-758-868-6; ISSN 2184-3228, SciTePress, pages 750-759. DOI: 10.5220/0015378600004985
Maslov I., Kudryavtsev, D., Khan, U.A., Simonofsky A. (2026). A BPMN-Centered Method for Process-Based Knowledge Management with Generative AI. The Pacific Asia Conference on Information Systems (PACIS) 2026. July 4-8, 2026.
Khan, U.A., Kudryavtsev, D., Kauttonen, J. , Leskinen A., Remes, J. (2026). From Unstructured Inputs to Structured Knowledge: A Modular LLM-Based Approach for Enterprise Knowledge Extraction. 21st International Forum on Knowledge Asset Dynamics (IFKAD). July 1-3, 2026. pp. 930-939. [Slides]
Kudryavtsev, D., Khan, U.A., Remes, J., Kauttonen, J. (2026). From Collaboration to Toolkit: Applying eDSR in a Generative AI Knowledge Management Project. In: Chatterjee, S., Gregor, S., Kipping, G., Mansingh, G. (eds) Design for Better Futures: Beyond the Science of the Artificial. Prototypes and Research-in-Progress. DESRIST 2026. Lecture Notes in Computer Science, vol 16607. Springer, Cham. [Slides]
Kudryavtsev, D., Khan, U. A., Remes J., Kauttonen J. (2026). Reuse and guidance for generative AI solution development and implementation: Knowledge management perspective. In: Barateiro, J., Rivkin, A., Zdravkovic, J., Borbinha, J., Mira da Silva, M. (eds) Enterprise Design, Operations, and Computing. EDOC 2025 Workshops . EDOC 2025. Lecture Notes in Business Information Processing, vol 571. Springer, Cham. https://doi.org/10.1007/978-3-032-16234-2_5 [Slides] [Presentation at AI Day 2025]
Kudryavtsev, D., Khan, U. A., Kauttonen, J., Kaski, T., Remes, J., Wuokko, A., Yangarber, R., Pivovarova, L., Wu, Y., Seppänen, M., Myllärniemi, J., & Sorri, K. (2025). Building a Generative AI toolkit for leveraging knowledge processes: The GAIK project report. 26th European Conference on Knowledge Management (ECKM 2025), Lahti, Finland. pp. 1317-1321. [Poster]
Khan, U. A., Kudryavtsev, D., Kauttonen, J., Joutsenniemi, A., Leskinen, A., Remes, J., Yangarber, R., Pivovarova, L., & Wu, Y. (2025). Evaluating generative AI technology choices and software frameworks for developing AI solutions in business. 26th European Conference on Knowledge Management (ECKM 2025), Lahti, Finland. pp. 1289-1294. [Poster]
Kudryavtsev D., Khan U. and Kauttonen J. (2024). Transforming Knowledge Management Using Generative AI: From Theory to Practice. In Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management – Volume 3: KMIS; ISBN 978-989-758-716-0, SciTePress, pages 362-370. [Poster]
Thesis projects
Saastamoinen, V. (2026) Successful adoption of GenAI from a knowledge management perspective. Master thesis. University of Tampere.
He, X. (2026) Evaluation Metrics for Business Value of Generative AI-Driven Knowledge Management. Master thesis. Haaga-Helia University of Applied Sciences.
Practical publications
Khan, U. A. (2026, May). How to accurately extract structured data from complex documents using AI. AI Advances
Khan, U. A. (2026, April). How to accurately extract everything from documents using AI. AI Advances.
Khan, U. A. (2026, April). How I improved speech-to-text accuracy with a 2-pass LLM pipeline. AI Advances.
Khan, U. A. (2025). Building a generic knowledge extraction AI agent that allows the creation of flexible, organizationspecific use cases [Medium article]. Data Science Collective.
Khan, U. A. (2025). Creating a knowledge extraction AI agent: Using Llama Extract to extract structured knowledge from unstructured documents. Data Science Collective.
Khan, U. & Kudryavtsev, D. (2024). Transforming Knowledge Management in Business with Generative AI: Opportunities and Challenges. eSignals PRO.
Khan, U. & Kudryavtsev, D. (2024). Transforming Knowledge Management in Business with Generative AI: Alternative Solutions, Risks and Regulatory Considerations. eSignals PRO.
Khan, U., Kudryavtsev, D. & Kauttonen, J. (2024) Enhancing generative AI for accessing enterprise knowledge. eSignals PRO.