The Artificial Intelligence and Machine Learning (AIML) group, lead by Prof. Dr. Eirini Ntoutsi, focuses on researching and developing intelligent algorithms that address real-world data challenges and contribute to social good. Three fundamental questions drive our work: How can we build intelligent machines for the real world? Equally important, what kind of intelligence do we aspire to build? And, can AI exhibit creativity?

Our ongoing research includes:

  • Continuous learning over evolving data and data streams.
  • Responsible AI with a focus on fairness-aware machine learning and explainable AI.
  • Generative AI for improving data quality for AI and generating new data and solutions.

Our methods cover a diverse array of application fields, including education, social networks, banks, agriculture, manufacturing, and engineering.

We are part of Research Institute CODE for cybersecurity and smart data and the Department of Computer Science at the Bundeswehr University Munich (UniBwM). Previously, we have been working at the Freie Universität Berlin and Leibniz Universität Hannover/L3S Research Center.



Eirini and Arjun attended the AI Fairness Cluster Inaugural Conference & Workshop on AI Bias and gave a talk on AI fairness and Multi-dimensional Discrimination in ML.


Eirini attended the kick-off meeting of the DFG scientific network “Digital Bioethics” in Hannover and gave a talk on responsible AI.


Our paper “Towards Cohesion-Fairness Harmony - Contrastive Regularization in Individual Fair Graph Clustering” has been accepted at PAKDD 2024. Congrats Siamak!


CFP for the Research Track of ECML PKDD is out! Please share and submit!


During the winter trimester we offer a lecture on AI and a seminar on AI/ML focusing on AI in games!

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