Welcome to my website

I am an associate professor at the Faculty of Electrical Engineering and Computer Science at the Leibniz University Hannover and member of the L3S Research Center. My research lies in the areas of Data Mining and Machine Learning and can be summarized as developing methods for i) learning over complex data and data stream mining, covering aspects such as adaptive learning, change detection and stability as well as ii) responsible AI, covering aspects such as fairness-aware learning, data quality and proper experimentation. For my current citations, check my Google Scholar profile.

Prior to joining LUH, I was a post-doctoral researcher at LMU, Munich in the group of Prof. Hans-Peter Kriegel. I joined the group in 2010 as a post-doctoral fellow of the Alexander von Humboldt Foundation. I obtained my PhD (2008) from the University of Piraeus, Athens under the supervision of Prof. Yannis Theodoridis. I hold a diploma (2001) and an MSc (2003) in Computer Engineering & Informatics both from the Computer Engineering & Informatics Department (CEID), University of Patras, Greece. In 2007, I co-funded an AI-based news monitoring startup, NeeMo.gr, after winning 1st price in the national 2006 innovation competition. Also, in 2009 I worked as a data mining expert at OTE SA, the national telecommunication provider of Greece.

My work has received several awards, including a Alexander von Humboldt fellowship for postdocts, a best-student paper award at ICBK 2018 and the 1st place in the 2006 innovation competition in Greece. My research is supported by prestigues funding bodies, including the German Research Foundation (DFG), the Volkswagen Foundation and the European Union.


Latest news:
-> October 2019: Our paper ``FAE: A Fairness-Aware Ensemble Framework'' was accepted as short paper at IEEE Big Data 2019. See you in LA.
-> September 2019: I am PC-Chair for KDML'19, co-located with LWDA 2019. The meeting will take place from September 30, 2019 to October 2, 2019, at the Humboldt-Universit├Ąt zu Berlin.
-> August 2019: Our paper ``AdaFair: Cumulative Fairness Adaptive Boosting'' was accepted at CIKM. See you in Beijing.
-> July 2019: Our paper on sentiment analysis on big data streams with limited labels was accepted at KAIS (Knowledge and Information Systems) journal.
-> May 2019: Our European Training Network (ETN) NoBIAS on bias in AI-decision making has been accepted. 15 PhDs to work on this exciting topic. I am the network coordinator and PI.
Exciting news! Tightly connected to our Volkswagen Foundation project on Bias in big data decision making in which I participate as a PI.
-> May 2019: Our paper on adaptive fairness-aware decision tree classifiers was accepted at International Joint Conference on Artificial Intelligence IJCAI 2019.
all news >>

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