At the Department of Data Science and Engineering at ELTE, we partner with industrial, academic, and public organizations to co-develop data-centric technologies and analytical solutions. Our collaborations span early exploration, applied research, and innovation projects that address real operational challenges and advance the state of the art.

How We Collaborate

We work with organizations on shared research questions, technology evaluations, proof-of-concepts, and scalable solutions. Our work is grounded in ELTE’s academic excellence and focuses on engineering robust, trustworthy, and scalable AI and data systems.

Core Areas of Expertise

We bring deep technical and research expertise in areas that are driving transformation across industries:

• Agentic AI & LLM-Based Systems
  Engineering agentic AI workflows and language-model-based solutions that integrate with enterprise data and processes.

• Process Mining & Process Intelligence
  Understanding and optimizing real operational processes with object-centric and event-based process analytics.

• Data Engineering & Scalable AI Infrastructure
  Building reproducible, containerized data and AI pipelines that work from edge to cloud.

• Trustworthy, Explainable & Sustainable AI
  Developing responsible AI systems with transparency, accountability, and energy-aware design.

• AI Evaluation, Benchmarking & Validation
  Systematic assessment of models and analytics systems for performance, robustness, and reliability.

• Secure & Federated Data Spaces
  Research and design of governed, cross-organizational data sharing infrastructures.

Contact

We welcome discussions about potential collaboration opportunities or concrete challenges you are exploring. Please contact our head of department:

Prof. Dr. István Koren
korenistvan@inf.elte.hu