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 streams, covering aspects such as adaptive learning, feature space adaptation and forgetting and ii) responsible AI, covering aspects such as fairness-aware learning, data quality and proper experimentation.

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.


Latest news:
-> May 2019: I am co-organizing EDML 2019: 1st Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning co-located with SDM 2019. See you in Alberta, Canada.
-> 22.3.2019: I am presenting the Dagstuhl Perspectives Workshop 18262 to the joint meeting of Dagstuhl’s Scientific Advisory Board and Industrial Curatory Board.
-> 19.3.2019: I am attending the FORSCHUNGS­GIPFEL 2019, focusing this year on AI. Videos are available online.
-> March 2019: Our report from the Dagstuhl perspectives workshop 18262 on 10 years of Web Science - Closing the loop is online, check the workshop details.
-> March 2019: Our article on exploiting neighborhood information for improving predictions in data streams was accepted at the International Journal of Data Science and Analytics JDSA.
-> February 2019: Our paper on exploiting entity-specific information for classification over streams of reviews was accepted at the ACM SAC - Data Streams track SAC-DS.
-> January 2019: Our article on data mining analysis of isotope data from animal and human findings in the alpine reference region accepted at the Archaeometry journal is now online.
all news >>

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