Dr. Georgia Koutrika has worked as a senior research scientist at HP Labs in Palo Alto, CA, USA (2012-2016). Prior to that, she worked at IBM Research-Almaden in San Jose, CA, USA (2010-2012), and as a post-doctoral research fellow at the Computer Science Dept., Stanford University, USA (2006-2009). She was a visiting collaborator at HP Labs in Palo Alto, CA, USA (2007-2009). She has received the PhD, MSc, and BSc degrees in Computer Science from the Department of Informatics and Telecommunications, University of Athens, Greece. She has been awarded the first award scholarship from the Greek State Scholarship’s Foundation (IKY) for her PhD studies and a first award scholarship from the Greek State Scholarship’s Foundation (IKY) for her undergrad studies.
Dr. Koutrika’s research is in the broader area of big data and in the intersection of databases, information retrieval, machine learning, and data mining, and includes: (a) personalization and recommendation systems, (b) user profiling and user analytics, (c) large-scale information extraction, entity resolution and information integration, (d) query and data exploration paradigms, including keyword search and natural language interfaces for databases.
Her work has been incorporated in commercial products, has been described in 6 granted patents and 20 patent applications in the US and worldwide, and has been published in more than 80 research papers in top-tier conferences and journals. She has two ACM SIGMOD Best Demo Awards.
An ACM and IEEE member, and ACM SIGMOD Associate Information Director, Dr. Koutrika is actively serving the scientific community. She has served as a General Co-Chair for ACM SIGMOD 2016, Industrial Track PC Chair for EDBT 2016, and Workshop and Tutorial Co-Chair for IEEE ICDE 2016. She is currently Demo PC co-chair for ACM SIGMOD 2018. She serves in the program committees of conferences including ACM SIGMOD, PVLDB, ACM SIGKDD, WWW, IEEE ICDE, and EDBT, and she has organized several focused workshops in databases.