Evangelos Kanoulas’s research focuses on building artificial intelligence agents to process, analyse, mine and understand the natural language in texts, and serve users with the right information at the right time.

As professor at the UvA, Kanoulas will focus on data-driven decision making, by effectively automating laborious and error-prone manual work on text processing.   

Kanoulas has worked as an assistant professor at the UvA’s Informatics Institute since 2014. From 2010 to 2012, he held a postdoctoral research position at Google Research. Prior to this, he worked as a Marie-Curie fellow at the University of Sheffield.

Kanoulas is the recipient of various grants and awards, including an NWO Smart Culture Grant, a COMMIT Shallow Grant, and two Google Faculty Research Awards. Kanoulas has published extensively in several leading peer-reviewed journals and conferences, including the Journal of Information Retrieval, ACM SIGIR, ACM KDD, AAAI and others.