Niels Martin is an Associate Professor affiliated with the Research Group Business Informatics. Within the research group, he is currently leading the research line 'Process Analytics in Healthcare'. This research line develops innovative methods that enable care organisations to understand and improve their processes in a data-driven way.
Prof. dr. Niels MARTIN
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Prof. dr. Niels MARTIN
Associate Professor
Prof. dr. Niels MARTIN
Membership
Research
Discipline codes: Business information management (05020601), Mathematical and quantitative methods not elsewhere classified (05020899), Business administration (05020202), Workflow, process and database management (01020507), Other health sciences not elsewhere classified (03039999), Data mining (01020102), Health informatics (01020401), Operations research and mathematical programming (01010311), Artificial intelligence not elsewhere classified (01020199), Management information systems (05020608), Human information behaviour (01020402), Decision support and group support systems (01020504), Computer science (01010304), Hospital science and management (03030108)
Supervised PhDs
Caring about the caregivers: novel methods to streamline work processes in healthcare using process execution data
An Vanthienen for the title Doctor of Business Economics (doctorate in progress)
Supervised as Promotor
Exploring expert behavior of process analysts
Jessica Van Suetendael for the title Doctor of Business Economics (doctorate in progress)
Supervised as Copromotor
Understanding and improving the interpretability of process mining outputs
Femke Pieters for the title Doctor of Business Economics (doctorate in progress)
Supervised as Promotor
Unlocking the power of automatically recorded task execution data to support nurses as they generate work organization improvement ideas: novel methods and insights
Haroon Tharwat for the title Doctor of Business Economics (doctorate in progress)
Supervised as Promotor
Using process mining to connect process orientation and data-driven decision-making in healthcare – current state and bringing new data sources to the fore
Maxim Riebus for the title Doctor of Business Economics (doctorate in progress)
Supervised as Promotor
Data-driven identification of causes resulting in desirable or undesirable process states
Eline Schouteden for the title Doctor of Business Economics (doctorate in progress)
Supervised as Copromotor
Causal Optimization of Data-Driven Heatlhcare
Alessandro Marchese for the title Doctor of Business Economics (doctorate in progress)
Supervised as Promotor
STATISTICAL VALIDATION AND INTERCONNECTION IN HEALTHCARE PROCESS MINING
Jimmy Komalceh for the title Doctor of Biomedical Sciences (doctorate in progress)
Supervised as Copromotor
Advancing Business Process Insights: A New Approach to Causal Analysis and a Study of Event Log Abstraction in Process Mining
Greg Van Houdt for the title Doctor of Business Economics in 2026
Supervised as Copromotor
The Challenging Road of Process Mining Pre-Analysis: Foundations of Tasks, Expertise, and Data
Shameer Kumar Pradhan for the title Doctor of Business Economics in 2026
Supervised as Copromotor
Bringing healthcare professionals to the forefront in process mining
Emmelien De Roock for the title Doctor of Business Economics in 2025
Supervised as Promotor
Leveraging Data-Driven Process Simulation to Support Capacity Management Decisions in Healthcare
Gerhardus van Hulzen for the title Doctor of Business Economics in 2023
Supervised as Promotor
Projects
17 research projects have been found
Unlocking the power of automatically recorded task execution data to support nurses as they generate work organisation improvement ideas: novel methods and insights (Research)
01/01/2024 - 31/12/2027
Process mining in healthcare from the perspective of healthcare professionals (Research)
01/10/2023 - 30/09/2027
Understanding and improving the interpretability of process mining outputs (Research)
16/09/2023 - 15/09/2027
Process Analytics in Healthcare: zorgorganisaties in staat stellen om hun processen beter te begrijpen en te verbeteren op een datagedreven manier (Research)
01/10/2021 - 30/09/2026
Event Data Analytics: Feature Engineering and Diagnostic Analysis in a Hybrid Data Source Setting (Research)
01/09/2019 - 11/01/2024
HICSS-57: Process mining using Electronic Health Records data - quo vadis? Reflections from observing nurses' activities and data registration behavior (Research)
03/01/2024 - 06/01/2024
Logicare AI: AI as driver for more efficiency healthcare logistics processes (Research)
01/10/2021 - 30/09/2023
Interactive Data-Driven Process Simulation for Capacity Management in Healthcare (Research)
01/09/2019 - 31/08/2023
Providing hospitals with richer insights in their processes: an enhanced methodology for data-driven root-cause analysis using an improved event log (Research)
01/10/2019 - 30/09/2022
Credit for participation in a conference abroad at the Winter Simulation Conference, Göteborg Sweden 09-12 / 12/2018 (Research)
09/12/2018 - 12/12/2018
Credit for participation in a conference abroad at the International Conference on Business Process Management, Sydney Australia 09-14 / 09/2018. (Research)
09/09/2018 - 14/09/2018
Education
Involved in the following courses
Academic year 2026 - 2027
Academic year 2026 - 2027
Academic year 2025 - 2026
Academic year 2025 - 2026
Niels MARTIN
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