| Position: | UD |
| Room: | MF 7.068 |
| Tel (internal): | |
| Links: | |
| External links: | Google Scholar page Scopus page TU/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 committed to providing fair, compliant, and transparent solutions to process-related challenges. His research pursuits are centered around two complementary areas: first, he focuses on designing process mining methods that deliver complete transparency over organizational processes and enable process stakeholders to identify and characterize critical process issues; second, he develops responsible machine learning approaches that provide ethical and accountable solutions to these process-related problems. Through this dual research focus, Gyunam aims to bridge the gap between technical process analysis capabilities and the practical need for responsible, transparent process management solutions.
For more information about Gyunam, visit https://www.gyunam.com.
Recent awards
- Best Paper Award for Gyunam Park - Gyunam Park has received the Best Paper Award at the BPM 2026 conference with his contribution titled “Compiling Constraint Knowledge into Prescriptive Process Analytics via Neuro-symbolic Outcome Distillation”, which has appeared under the tile “Neuro-Symbolic Prescriptive Process Analytics: Learning Compliant and Effective Process Recommendations Through Constraint Distillation” in the proceedings of the conference. Congratulations to Read More ...
Recent courses
- 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 ...
- 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
Recent external assignments
Recent assignments
- 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 ...