Projecten per jaar
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, 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.
Vingerafdruk
- 1 Soortgelijke profielen
Samenwerkingen en hoofdonderzoeksgebieden uit de afgelopen vijf jaar
Projecten
- 2 Actief
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STABILITY : Sustainable Circular Life Extension Strategies for Inner-City Bridges and Quay Walls
3/12/22 → 2/12/26
Project: Onderzoek 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: Onderzoek 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., 30 jan. 2023, The 2022 IEEE Symposium Series on Computational Intelligence (IEEE SSCI) . Ishibuchi, H., Kwoh, C-K., Tan, A-H., Srinivasan, D., Miao, C., Trivedi, A. & Crockett, K. (redactie). Institute of Electrical and Electronics Engineers, blz. 804-811 8 blz. 10022227Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review
Open AccessBestand2 Citaten (Scopus)84 Downloads (Pure) -
Learning to Adapt Genetic Algorithms for Multi-Objective Flexible Job Shop Scheduling Problems
Reijnen, R., Bukhsh, Z., Zhang, Y. & Guzek, M., 2023, (Geaccepteerd/In druk) Proceedings of The Genetic and Evolutionary Computation Conference (GECCO 2023). ACM PressOnderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review
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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. blz. 574-585 12 blz.Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review
Open AccessBestand276 Downloads (Pure) -
Operator Selection in Adaptive Large Neighborhood Search using Deep Reinforcement Learning
Reijnen, R., Zhang, Y., Lau, H. C. & Bukhsh, Z., 1 nov. 2022, In: arXiv. 2022, 8 blz., 2211.00759.Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic
Open AccessBestand28 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 blz., 965.Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic › peer review
Open Access7 Citaten (Scopus)
Prijzen
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Best Student Paper Award of ICAART 2022
Kerkkamp, David (Ontvanger), Bukhsh, Zaharah (Ontvanger), Zhang, Yingqian (Ontvanger) & Jansen, Nils (Ontvanger), 2022
Prijs: Anders › Werk, activiteit of publicatie gerelateerde prijzen (lifetime, best paper, poster etc.) › Wetenschappelijk
Activiteiten
- 1 Workshop, seminar, cursus of expositie
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17th Learning and Intelligent Optimization Conference, LION17
Yingqian Zhang (Bijdrager), Laurens Bliek (Bijdrager), Isel Grau Garcia (Bijdrager), Zaharah Bukhsh (Bijdrager) & Hendrik Baier (Bijdrager)
2023Activiteit: Types deelname aan of organisatie van een evenement › Workshop, seminar, cursus of expositie › Wetenschappelijk