Projects per year
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 deep reinforcement learning. She focuses on developing learning-based optimization methods and tools to improve, solve, and optimize operational challenges, including resource utilization, cost optimization, planning, and scheduling. Her research interest also extends to the area of process mining to monitor and improve operational processes.
Academic background
Zaharah earned her MSc (2015) in Information Systems Engineering and her PhD in Operations Research (2019) from the University of Twente. Her PhD research focused on developing data-driven decision support methods for the optimal maintenance planning of transport infrastructure. Her PhD research work was characterized by a strong collaborative spirit, having partnered with (inter)national industry leaders, such as Rijkswaterstaat and IrishRail, and renowned academic institutions, including ETH Zurich, Trinity College Dublin, and TU Delft. The H2020 research projects DESTination RAIL and COST ACTION TU1406 funded her PhD project. Before joining TU/e in 2021, she contributed to the PrimaVera (NWO) project as a post-doc researcher at the Software Science Department, Radboud University.
Fingerprint
- 1 Similar Profiles
Collaborations and top research areas from the last five years
-
STABILITY : Sustainable Circular Life Extension Strategies for Inner-City Bridges and Quay Walls
Bukhsh, Z. (Project Manager), Zhang, Y. (Project member), van Remmerden, J. (Project member), Bukhsh, Z. (Project Manager), Zhang, Y. (Project member) & van Remmerden, J. (Project member)
9/01/23 → 8/01/27
Project: Second tier
-
CERTIF-AI: CERTIFication of production process quality through Artificial Intelligence
Dijkman, R. M. (Project Manager), Bukhsh, Z. (Project member), Middelhuis, J. (Project member) & Adan, I. J. B. F. (Project member)
1/05/20 → 15/02/25
Project: Second tier
-
Deep Multi-Objective Reinforcement Learning for Utility-Based Infrastructural Maintenance Optimization
van Remmerden, J. (Corresponding author), Kenter, M., Roijers, D. M., Andriotis, C., Zhang, Y. & Bukhsh, Z., 10 Jan 2025, (E-pub ahead of print) In: Neural Computing and Applications. XX, XResearch output: Contribution to journal › Article › Academic › peer-review
Open Access -
Graph neural networks for job shop scheduling problems: A survey
Smit, I. G., Zhou, J., Reijnen, R., Wu, Y. (Corresponding author), Chen, J., Zhang, C., Bukhsh, Z., Zhang, Y. & Nuijten, W. P. M., Apr 2025, In: Computers and Operations Research. 176, 16 p., 106914.Research output: Contribution to journal › Review article › peer-review
Open AccessFile1 Citation (Scopus)7 Downloads (Pure) -
Learning policies for resource allocation in business processes
Middelhuis, J. (Corresponding author), Lo Bianco, R., Sherzer, E., Bukhsh, Z., Adan, I. & Dijkman, R., Feb 2025, In: Information Systems. 128, 13 p., 102492.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile15 Downloads (Pure) -
Graph Neural Networks for Job Shop Scheduling Problems: A Survey
Smit, I. G., Zhou, J., Reijnen, R., Wu, Y., Chen, J., Zhang, C., Bukhsh, Z., Nuijten, W. P. M. & Zhang, Y., 20 Jun 2024, arXiv.org, 42 p.Research output: Working paper › Preprint › Academic
Open AccessFile146 Downloads (Pure) -
Learning Efficient and Fair Policies for Uncertainty-Aware Collaborative Human-Robot Order Picking
Smit, I. G., Bukhsh, Z., Pechenizkiy, M., Alogariastos, K., Hendriks, K. & Zhang, Y., 9 Apr 2024, arXiv.org, 38 p.Research output: Working paper › Preprint › Academic
Open AccessFile25 Downloads (Pure)
Prizes
-
Best Student Paper Award of ICAART 2022
Kerkkamp, D. (Recipient), Bukhsh, Z. (Recipient), Zhang, Y. (Recipient) & Jansen, N. (Recipient), 2022
Prize: Other › Career, activity or publication related prizes (lifetime, best paper, poster etc.) › Scientific
-
Winner MLVRP2023 GECCO competition
Reijnen, R. (Recipient), Song, Y. (Recipient), Abouelrous, A. (Recipient), Zhang, Y. (Recipient), Bukhsh, Z. (Recipient) & Bliek, L. (Recipient), 19 Jul 2023
Prize: Other › Career, activity or publication related prizes (lifetime, best paper, poster etc.) › Scientific
File
Activities
- 2 Workshop, seminar, course or exhibition
-
Workshop on Trustworthy Sequential Decision-making and Optimization (ECAI2024)
Baier, H. (Organiser), Bliek, L. (Organiser), Bukhsh, Z. (Organiser), Grau Garcia, I. (Organiser), Wu, Y. (Organiser) & Zhang, Y. (Organiser)
19 Oct 2024 → 20 Oct 2024Activity: Participating in or organising an event types › Workshop, seminar, course or exhibition › Scientific
-
17th Learning and Intelligent Optimization Conference, LION17
Zhang, Y. (Contributor), Bliek, L. (Contributor), Grau Garcia, I. (Contributor), Bukhsh, Z. (Contributor) & Baier, H. (Contributor)
2023Activity: Participating in or organising an event types › Workshop, seminar, course or exhibition › Scientific