Zaharah Bukhsh
Department / Institute
RESEARCH PROFILE
Zaharah A. Bukhsh is an Assistant Professor in the Information Systems group at Eindhoven University of Technology (TU/e). Her research interests lie in the area of data-driven decision support technologies, mainly artificial Intelligence, interpretable data modeling, deep reinforcement learning, and decision theory methods. She focuses on developing learning-based decision support methods and tools to improve, solve and optimize operational challeneges, including resource utilization, cost optimization, planning, and scheduling. Her research interest also extends to the area of process mining to monitor and improve the operational processes.
ACADEMIC BACKGROUND
Zaharah received her MSc (2015) in Information Systems Engineering and her PhD in Operations research (2019) from the University of Twente. Her PhD research was about developing data-driven decision support methods for the optimal maintenance planning of transport infrastructure. She has collaborated nationally and internationally with industry, e.g., Rijkswaterstaat, IrishRail, etc., and academic partners, e.g., ETH, Trinity College Dublin, and TU Delft. Her PhD project was funded by the H2020 research project DESTination RAIL and COST ACTION TU1406. Before joining TU/e in 2021, she contributed to the PrimaVera (NWO) project as a post-doc researcher at the Software Science department of Radboud University.
Recent Publications
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Robbert Reijnen,Zaharah Bukhsh,Yingqian Zhang,Mateusz Guzek
Learning to Adapt Genetic Algorithms for Multi-Objective Flexible Job Shop Scheduling Problems
(2023) -
Zaharah Bukhsh,Aaqib Saeed
On Out-of-Distribution Detection for Audio with Deep Nearest Neighbors
(2023) -
Robbert Reijnen,Yingqian Zhang,Zaharah Bukhsh,Mateusz Guzek
Deep Reinforcement Learning for Adaptive Parameter Control in Differential Evolution for Multi-Objective Optimization
(2023) -
Robbert Reijnen,Yingqian Zhang,Hoong Chuin Lau,Zaharah Bukhsh
Operator Selection in Adaptive Large Neighborhood Search using Deep Reinforcement Learning
arXiv (2022) -
David Kerkkamp,Zaharah Bukhsh,Yingqian Zhang,Nils Jansen
Grouping of Maintenance Actions with Deep Reinforcement Learning and Graph Convolutional Networks
(2022)
Ancillary Activities
No ancillary activities