DBL Data Challenge (JBG030) 2026-2027

Objectives Non Bachelor Data Science wanting to register for this course should reach out to program management via mcs.academic.advisor.bds@tue.nl for formal approval After taking the course, students are able to Content Non Bachelor Data Science wanting to register for this course should reach out to program management via mcs.academic.advisor.bds@tue.nl for formal approval

Seminar Process Analytics (2IMI00) 2026-2027

Objectives This seminar combines teaching research methods (in preparation for a Master project) with providing students with recent and ongoing research in the area of event data analysis and process analysis. We study recent research articles, book chapters, and Master theses on topics along the entire analysis life-cycle. Through presentation and group discussions, we work Read More …

Vacancy: PhD in Process-Aware AI Agents for Autonomous Manufacturing

Are you fascinated by the intersection of probabilistic reasoning, process modelling, and artificial intelligence grounded in contextual knowledge? Do you want to develop AI agents that can autonomously reason, plan, and act in complex manufacturing environments based on knowledge graphs? Join a European research consortium and help shape the future of intelligent manufacturing. Job Description Read More …

DBL Data Challenge (JBG030) 2025-2026

Objectives Non Bachelor Data Science wanting to register for this course should reach out to program management via mcs.academic.advisor.bds@tue.nl for formal approval After taking the course, students are able to Content Non Bachelor Data Science wanting to register for this course should reach out to program management via mcs.academic.advisor.bds@tue.nl for formal approval

Neuro-Symbolic Learning for Responsible Process Analytics

Highlights Background Business process management has evolved from manual workflow documentation to sophisticated data-driven systems that leverage machine learning for process optimization, anomaly detection, and predictive monitoring. Organizations across healthcare, finance, manufacturing, and logistics generate massive amounts of event logs that capture detailed execution traces of their operational processes. While deep learning approaches have shown remarkable success Read More …

Gyunam Park

Position: UD Room: MF 7.068 Tel (internal): Links: External links: Google Scholar pageScopus pageTU/e page Gyunam is an Assistant Professor at the Process Analytics Cluster in the Department of Mathematics and Computer Science at Eindhoven University of Technology. He completed his Ph.D. in Computer Science from RWTH Aachen University, Germany, in 2024. Gyunam is deeply Read More …