Nijat Mehdiyev

Nijat Mehdiyev is a Researcher at the Institute for Business Information Systems at the German Research Center for Artificial Intelligence (DFKI). He actively contributes to interdisciplinary projects at the intersection of artificial intelligence, human-computer interaction, and business process modeling. His work focuses on enhancing AI systems with explainability and uncertainty quantification for practical industrial applications.

• Projects: UNICORN (human-centered dialogue systems), EVIDENT (AI battery optimization), ExPro (ML forecasting for production planning), KOSMOX (counterfactual explanations), MES4SME (MES data-driven production optimization)

His research integrates explainable AI (XAI) methods with cognitive modeling and human-computer interaction principles to develop practical AI solutions for process intelligence. Recent work explores large language models (LLMs) for conversational business process modeling and uncertainty-aware predictive monitoring systems.

Key article themes include:

• Application of LLMs to business process modeling
• Uncertainty quantification in predictive process monitoring
• Counterfactual explanations for scheduling optimization
• Cognitive modeling in AI explanation design
• Human-AI collaboration frameworks
• Industrial applications of ML forecasting