| 2026 | GECCO | EvoTS: Evolutionary Transformer Search for Time Series Forecasting. | AbdElRahman ElSaid, Damir Pulatov |
| 2026 | HPDC | Inkly: A Data-Informed and Context-Aware System for HPC Job Execution. | Ryan Vargas, Andrew S. Tupper, AbdElRahman ElSaid, Damir Pulatov |
| 2025 | GECCO | CG-CANTS-N: A Versatile Graph-Based Framework for Scalable and Adaptive Problem Solving Across Domains. | AbdElRahman ElSaid, Travis Desell |
| 2022 | GECCO | Addressing tactic volatility in self-adaptive systems using evolved recurrent neural networks and uncertainty reduction tactics. | Aizaz Ul Haq, Niranjana Deshpande, AbdElRahman ElSaid, Travis Desell, Daniel E. Krutz |
| 2020 | GECCO | Improving neuroevolutionary transfer learning of deep recurrent neural networks through network-aware adaptation. | AbdElRahman ElSaid, Joshua Karns, Zimeng Lyu, Daniel E. Krutz, Alexander Ororbia, Travis Desell |
| 2019 | GECCO | Investigating recurrent neural network memory structures using neuro-evolution. | Alexander Ororbia, AbdElRahman ElSaid, Travis Desell |
| 2019 | ICSE | Is adaptivity a core property of intelligent systems?: it depends. | AbdElRahman ElSaid, Travis Desell, Daniel E. Krutz |
| 2018 | GECCO | Using ant colony optimization to optimize long short-term memory recurrent neural networks. | AbdElRahman ElSaid, Fatima El Jamiy, James Higgins, Brandon Wild, Travis Desell |
| 2017 | GECCO | Optimizing LSTM RNNs using ACO to predict turbine engine vibration. | AbdElRahman ElSaid, Brandon Wild, Fatima El Jamiy, James Higgins, Travis Desell |