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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Mozhgan Vazifehdoostirani,Laura Genga,Remco M. Dijkman
Encoding High-Level Control-Flow Construct Information for Process Outcome Prediction
(2022) -
Sicui Zhang,Laura Genga,Lukas Dekker,Hongchao Nie,Xudong Lu,Huilong Duan,Uzay Kaymak
Fuzzy multi-perspective conformance checking for business processes
Applied Soft Computing (2022) -
Laura Genga,Luca Allodi,Nicola Zannone
Association Rule Mining Meets Regression Analysis: An Automated Approach to Unveil Systematic Biases in Decision-Making Processes
Journal of Cybersecurity and Privacy (2022) -
Murat Firat,Tugce G. Martagan,Laura Genga
Optimizing the workload of production units of a make-to-order manufacturing system
Computers & Operations Research (2022) -
Amirreza Farahani,Laura Genga,Remco Dijkman
Online Multimodal Transportation Planning using Deep Reinforcement Learning
2021 IEEE International Conference on Systems, Man and Cybernetics, IEEE SMC 2021 (2022)
Current Educational Activities
Ancillary Activities
No ancillary activities