| 2025 | CoDIT | Data-Driven Bed Assignment for Emergency Patients Using Supervised Learning. | Hela Jedidi, Hajer Ben Romdhane, Issam Nouaouri, Saoussen Krichen |
| 2025 | CoDIT | Clustering-Based Optimization for Emergency Patient Bed Assignment Problem. | Hela Jedidi, Hajer Ben Romdhane, Issam Nouaouri, Saoussen Krichen |
| 2024 | CoDIT | Min-Conflict Heuristic Approach for Elective Patient Bed Assignment Problem. | Hela Jedidi, Issam Nouaouri, Hajer Ben Romdhane, Saoussen Krichen |
| 2024 | KES | A two-stage approach combining machine learning and optimization for the hospital patient bed assignment problem in emergencies. | Hela Jedidi, Hajer Ben Romdhane, Issam Nouaouri, Saoussen Krichen |
| 2019 | KES | A Hybrid Simulated Annealing Approach for the Patient Bed Assignment Problem. | Khouloud Dorgham, Issam Nouaouri, Hajer Ben Romdhane, Saoussen Krichen |
| 2017 | GECCO | A new evolutionary approach using pre-post testing to trigger exploration and exploitation in DOPs. | Hajer Ben Romdhane, Enrique Alba, Saoussen Krichen |
| 2014 | ICORES | Online Knapsack Problem with Items Delay. | Hajer Ben Romdhane, Saoussen Krichen |
| 2014 | MDAI | A Dynamic Approach for the Online Knapsack Problem. | Hajer Ben Romdhane, Sihem Ben Jouida, Saoussen Krichen |