Als u wijzigingen in Pure hebt gemaakt, zullen deze hier binnenkort zichtbaar zijn.

Persoonlijk profiel

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, decision theory methods, and evolutionary algorithms. She focuses on developing learning-based decision support methods and tools to improve, solve and optimize operational problems, 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.

Vingerafdruk

Verdiep u in de onderzoeksgebieden waarop Zaharah Bukhsh actief is. Deze onderwerplabels komen uit het werk van deze persoon. Samen vormen ze een unieke vingerafdruk.
  • 6 Soortgelijke profielen

Netwerk

Recente externe samenwerking op landenniveau. Duik in de details door op de stippen te klikken.
Als u wijzigingen in Pure hebt gemaakt, zullen deze hier binnenkort zichtbaar zijn.