- Name: Myra
- Surname: Spiliopoulou
- Affiliation/Institution: Knowledge Management & Discover Lab (KMD), Faculty of Computer Science, Otto-von-Guericke University Magdeburg
- Last roles in CBMS: PC Chair 2016 2019
MYRA SPILIOPOULOU is Professor of Business Information Systems at the Faculty of Computer Science, Otto-von-Guericke-University Magdeburg, Germany. Her main research is on mining dynamic complex data. Her publications are on mining complex streams, mining evolving objects, adapting models to drift and building models that capture drift. She focusses on two application areas: (a) business, including opinion stream mining and adaptive recommenders, and (b) medical research, including epidemiological mining and learning from clinical studies. In the application domain of medical research, she works on modeling and predicting evolution of study participants with and without the target outcome. In the area of medical research, she is currently involved in the UNITI (2020-2022) EU Project on “Unification of treatments and Interventions for Tinnitus patients”.
Her research on topic monitoring, social network monitoring and analysis of complex dynamic data has been published in renowned international conferences and journals. She is regularly presenting tutorials on different aspects of complex data mining, and recently on medical mining. She is involved as (senior) reviewer in major conferences on data mining and knowledge discovery. In 2016 and 2019, she served as a PC Chair of the IEEE Int. Symposium on Computer-Based Medical Systems (CBMS). In 2021, she served as a Special Sessions Chair of the IEEE DSAA (Data Science And Analytics) conference and as ECML PKDD 2021 Awards Chair.