| 2025 | AIME | ML-EvalPro: Machine Learning Evaluation Profiler for Supervised Tasks. | Mohamed Maher, Reem Ayman, Sondos Akram, Omar Marie, Radwa El Shawi |
| 2025 | EDBT | FedForecaster: An Automated Federated Learning Approach for Time-series Forecasting. | Mohamed Maher, Osama Fayez Oun, Mahmoud Saeed Mesmeh, Radwa El Shawi |
| 2024 | EDBT | GizaML: A Collaborative Meta-learning Based Framework Using LLM For Automated Time-Series Forecasting. | Esraa Sayed, Mohamed Maher, Omar Sedeek, Ahmed Eldamaty, Amr Kamel, Radwa El Shawi |
| 2022 | AMTA | Language Tokens: Simply Improving Zero-Shot Multi-Aligned Translation in Encoder-Decoder Models. | Muhammad N. ElNokrashy, Amr Hendy, Mohamed Maher, Mohamed Afify, Hany Hassan |
| 2021 | EDBT | The impact of Auto-Sklearn's Learning Settings: Meta-learning, Ensembling, Time Budget, and Search Space Size. | Hassan Eldeeb, Oleh Matsuk, Mohamed Maher, Abdelrhman Eldallal, Sherif Sakr |
| 2021 | ICMLA | Instance-based Label Smoothing For Better Calibrated Classification Networks. | Mohamed Maher, Meelis Kull |
| 2019 | EDBT | SmartML: A Meta Learning-Based Framework for Automated Selection and Hyperparameter Tuning for Machine Learning Algorithms. | Mohamed Maher, Sherif Sakr |
| 2019 | EDBT | MINARET: A Recommendation Framework for Scientific Reviewers. | Sherif Sakr, Mohamed Ragab, Mohamed Maher, Ahmed Awad |
| 2011 | IRI | Service composition recovery using formal concept analyst & WordNet similarity. | Mohamed Maher, Haitham S. Hamza, Ramadan Moawad Mohamed |