| 2025 | WSC | TESO: Tabu-Enhanced Simulation Optimization for Noisy Black-Box Problems. | Bulent Soykan, Sean C. Mondesire, Ghaith Rabadi |
| 2025 | WSC | Graph-Enhanced Deep Reinforcement Learning for Multi-Objective Unrelated Parallel Machine Scheduling. | Bulent Soykan, Sean C. Mondesire, Ghaith Rabadi, Grace M. Bochenek |
| 2024 | WSC | Optimizing Job Shop Scheduling Problem Through Deep Reinforcement Learning and Discrete Event Simulation. | Bulent Soykan, Ghaith Rabadi |
| 2023 | ICMLA | Optimizing Multi Commodity Flow Problem Under Uncertainty: A Deep Reinforcement Learning Approach. | Bulent Soykan, Ghaith Rabadi |
| 2023 | WSC | Chances and Challenges of ChatGPT and Similar Models for Education in M&S. | Andreas Tolk, Philip Barry, Margaret L. Loper, Ghaith Rabadi, William T. Scherer, Levent Yilmaz |
| 2016 | WSC | A discrete event simulation for the logistics of Hamad's container terminal of Qatar. | Mariam Kotachi, Ghaith Rabadi, Mohamed Kais Msakni, Mohammad Al-Salem, Ali H. Diabat |
| 2005 | WSC | Minimizing the total weighted completion time on unrelated parallel machines with stochastic times. | Jean-Paul M. Arnaout, Ghaith Rabadi |
| 2003 | SMC | A multiagents approach for the Job Shop Scheduling problem with earliness and tardiness. | Leonardo B. Valencia, Ghaith Rabadi |
| 2002 | WSC | Methods and tools for aerospace operations modeling and simulation: modeling the space shuttle. | Grant R. Cates, Martin J. Steele, Mansooreh Mollaghasemi, Ghaith Rabadi |
| 2002 | WSC | Methods and tools for aerospace operations modeling and simulation: generic simulation models of reusable launch vehicles. | Martin J. Steele, Mansooreh Mollaghasemi, Ghaith Rabadi, Grant R. Cates |