| 2026 | ICAART | Prefix-Aware Deep Reinforcement Learning for Resource Allocation in Business Processes. | Jeroen Middelhuis, Zaharah Allah Bukhsh, Ivo Adan, Remco M. Dijkman |
| 2025 | BPM | A Rollout-Based Algorithm and Reward Function for Resource Allocation in Business Processes. | Jeroen Middelhuis, Zaharah Allah Bukhsh, Ivo Adan, Remco M. Dijkman |
| 2025 | EDOC | Learning to Allocate: Dynamic Heuristic Selection for Business Processes. | Jeroen Middelhuis, Zaharah Allah Bukhsh, Ivo Adan, Remco M. Dijkman |
| 2024 | BPM | Optimizing Resource Allocation Policies in Real-World Business Processes Using Hybrid Process Simulation and Deep Reinforcement Learning. | Francesca Meneghello, Jeroen Middelhuis, Laura Genga, Zaharah Allah Bukhsh, Massimiliano Ronzani, Chiara Di Francescomarino, Chiara Ghidini, Remco M. Dijkman |
| 2024 | ICAPS | Online Control of Adaptive Large Neighborhood Search Using Deep Reinforcement Learning. | Robbert Reijnen, Yingqian Zhang, Hoong Chuin Lau, Zaharah Allah Bukhsh |
| 2023 | GECCO | Learning to Adapt Genetic Algorithms for Multi-Objective Flexible Job Shop Scheduling Problems. | Robbert Reijnen, Yingqian Zhang, Zaharah Allah Bukhsh, Mateusz Guzek |
| 2023 | ICASSP | On Out-of-Distribution Detection for Audio with Deep Nearest Neighbors. | Zaharah Allah Bukhsh, Aaqib Saeed |
| 2022 | ICAART | Grouping of Maintenance Actions with Deep Reinforcement Learning and Graph Convolutional Networks. | David Kerkkamp, Zaharah Allah Bukhsh, Yingqian Zhang, Nils Jansen |
| 2022 | ICASSP | Contrastive Sensor Transformer for Predictive Maintenance of Industrial Assets. | Zaharah Allah Bukhsh |