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Mykola Pechenizkiy is a Full Professor in the Department of Mathematics and Computer Science at Eindhoven University of Technology (TU/e), where he holds the Data Mining Chair. His research interests encompass data science, knowledge discovery in data mining, responsible analytics, and ethics related to discrimination awareness. He focuses on context-aware predictive analytics and the handling of concept drift in evolving contexts alongside automation feature construction for analytics in dynamic networks. His core expertise involves predictive analytics and knowledge discovery, specifically aimed at addressing real-world problems across various sectors including industry, medicine, and education. He leads the Customer Journey interdisciplinary research program at the Data Science Center Eindhoven, which aims to develop techniques for informed responsible analytics grounded in real-world applications. Mykola has co-authored over 100 peer-reviewed publications and is actively involved in organizing successful conferences and thematic workshops. He regularly serves on program committees for leading conferences in data mining and AI, as well as editorial boards for various journals. Additionally, he is the President of the International Educational Data Mining Society (IEDMS).
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