Mykola Pechenizkiy is a Full Professor at the department of Mathematics and Computer Science, Eindhoven University of Technology (TU/e), where he holds the Data Mining Chair. His research interests include data science, knowledge discovery and data mining, responsible analytics, including ethics/discrimination-awareness, context-aware predictive analytics, handling concept drift and reoccurring contexts, automation of feature construction and analytics on evolving networks. His core expertise and research interests are in predictive analytics and knowledge discovery from evolving data, and in their application to real-world problems in industry, medicine and education. At the Data Science Center Eindhoven, he leads the Customer Journey interdisciplinary research program aiming at developing techniques for informed and responsible analytics.
Mykola Pechenizkiy received his PhD from the Computer Science and Information Systems department at the University of Jyväskylä, Finland in 2005. In addition to his work at TU/e, he is an Adjunct Professor in Data Mining for Industrial Applications at the Department of Mathematical Information Technology the University of Jyväskylä. He has also been a visiting researcher at several universities, including Aalto University, University of Bournemouth, Columbia University, University of Cordoba, New York University, University Porto, University of Technology Sydney, Trinity College Dublin, and the University of Ulster. Mykola has co-authored more than 100 peer-reviewed publications. He has been involved in organizing several successful conferences, thematic workshops and special issues with journals. He regularly serves on several program committees of leading data mining and AI conferences, including AAAI, IJCAI, ECMLPKDD, EDM, LAK, IDA, DSAA, DS, AISTATS, NIPS, SDM and editorial boards of DAMI, IEEE TLT and JEDM journals. He serves as the President of IEDMS, the International Educational Data Mining Society.
Multi-strategy differential evolution21st International Conference on the Applications of Evolutionary Computing (EvoApplications 2018) (2018)
Clustering-structure representative sampling from graph streams6th International Conference on Complex Networks and Their Applications (COMPLEX NETWORKS 2017) (2018)
The nutcracker framework for ensemble interpretability16th International Symposium on Intelligent Data Analysis (IDA 2017), October 26-28, 2017, London, UK (2017)
Towards proximity tracking and sensemaking for supporting teamwork and learning17th IEEE International Conference on Advanced Learning Technologies (ICALT 2017), July 3-7, 2017, Timisoara, Romania (2017)
Modelling embodied mobility teamwork strategies in a simulation-based healthcare classroom25th International Conference on User Modeling, Adaptation, and Personalization (UMAP 2017) (2017)
- Web analytics
- Data mining
- Capita selecta Data Mining
- Seminar Data Mining
- Web information retrieval and data mining
No ancillary activities