Her main research interest lies in databases, big data and data mining, with a focus on spatial and/or temporal data. She mainly applies her research in the fields of transportation, environment, universe science and health. She has supervised 16 graduate Ph.D. students. She has co-authored over 120 peer-reviewed journal and conference papers. Her research is funded by national grants and multi-partners projects, bilateral research collaboration programs, and by the European Union’s Horizon 2020 research and innovation program. She regularly serves as a PC member in international conferences in the field of (spatial) databases and data mining, machine learning and as a reviewer for national and international journals in these domains. She has (co-)chaired several conferences and workshops national and international wise.