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 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.
Network
Projects
- 2 Active
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STABILITY : Sustainable Circular Life Extension Strategies for Inner-City Bridges and Quay Walls
3/12/22 → 2/12/26
Project: Research direct
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CERTIF-AI: CERTIFication of production process quality through Artificial Intelligence
Dijkman, R. M., Dijkman, R. M., Bukhsh, Z., Adan, I. J. B. F. & Middelhuis, J.
1/11/20 → 15/02/25
Project: Research direct
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Deep Reinforcement Learning for Adaptive Parameter Control in Differential Evolution for Multi-Objective Optimization
Reijnen, R., Zhang, Y., Bukhsh, Z. & Guzek, M., 2022, (Accepted/In press) The 2022 IEEE Symposium Series on Computational Intelligence (IEEE SSCI) . IEEE PressResearch output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile22 Downloads (Pure) -
Grouping of Maintenance Actions with Deep Reinforcement Learning and Graph Convolutional Networks
Kerkkamp, D., Bukhsh, Z., Zhang, Y. & Jansen, N., 2022, Proceeding of the 14th International Conference on Agents and Artificial Intelligence. SciTePress Digital Library, Vol. 2. p. 574-585 12 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile179 Downloads (Pure) -
A multiobjective decision‐making model for risk‐based maintenance scheduling of railway earthworks
Stipanovic, I., Bukhsh, Z. A., Reale, C. & Gavin, K., 1 Feb 2021, In: Applied Sciences. 11, 3, 18 p., 965.Research output: Contribution to journal › Article › Academic › peer-review
Open Access5 Citations (Scopus) -
Damage detection using in-domain and cross-domain transfer learning
Bukhsh, Z., Jansen, N. & Saeed, A., Dec 2021, In: Neural Computing and Applications. 33, 24, p. 16921-16936 16 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile10 Citations (Scopus)24 Downloads (Pure) -
A systematic literature review on requirement prioritization techniques and their empirical evaluation
Bukhsh, F. A., Bukhsh, Z. A. & Daneva, M., Mar 2020, In: Computer Standards & Interfaces. 69, 18 p., 103389.Research output: Contribution to journal › Review article › peer-review
31 Citations (Scopus)
Prizes
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Best Student Paper Award of ICAART 2022
Kerkkamp, David (Recipient), Bukhsh, Zaharah (Recipient), Zhang, Yingqian (Recipient) & Jansen, Nils (Recipient), 2022
Prize: Other › Career, activity or publication related prizes (lifetime, best paper, poster etc.) › Scientific