Assistant Professor
Laura Genga
Department / Institute
Industrial Engineering and Innovation Sciences
Group
EAISI Health
RESEARCH PROFILE
Laura Genga is an Assistant Professor in Information Systems at Eindhoven University of Technology (TU/e). Her research revolves around data-driven process analysis and enhancement. In particular, her work falls within the process mining discipline, the goal of which consists in turning event data collected by any sort of logging system, e.g., enterprise information systems, into insights on the corresponding processes. Her core topics involve automated discovery and analysis of flexible processes, process compliance analysis, and on-line and monitoring and prediction to support process managers in taking decisions regarding current process executions, e.g., to react to potentially undesired situations.
Recent Publications
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A historical perspective of biomedical explainable AI research
Patterns (2023) -
A historical perspective of biomedical explainable AI research
Patterns (2023) -
Interactive Multi-interest Process Pattern Discovery
(2023) -
Encoding High-Level Control-Flow Construct Information for Process Outcome Prediction
(2022) -
Fuzzy multi-perspective conformance checking for business processes
Applied Soft Computing (2022)
Ancillary Activities
No ancillary activities