If you made any changes in Pure these will be visible here soon.

Personal profile

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 external collaboration on country/territory level. Dive into details by clicking on the dots or
  • Best Student Paper Award of ICAART 2022

    Kerkkamp, David (Recipient), Bukhsh, Zaharah (Recipient), Zhang, Yingqian (Recipient) & Jansen, Nils (Recipient), 2022

    Prize: OtherCareer, activity or publication related prizes (lifetime, best paper, poster etc.)Scientific