| 2025 | ICDM | Can a Large Language Model Win a Kaggle Competition? | Illya Gordyy, Estevan Rendon, Niful Islam, Mohammad Wardat, Huirong Fu |
| 2025 | ICSE | Mock Deep Testing: Toward Separate Development of Data and Models for Deep Learning. | Ruchira Manke, Mohammad Wardat, Foutse Khomh, Hridesh Rajan |
| 2025 | ICSE | $\mu \text{PRL}$: A Mutation Testing Pipeline for Deep Reinforcement Learning Based on Real Faults. | Deepak-George Thomas, Matteo Biagiola, Nargiz Humbatova, Mohammad Wardat, Gunel Jahangirova, Hridesh Rajan, Paolo Tonella |
| 2022 | ICSE | The Art and Practice of Data Science Pipelines: A Comprehensive Study of Data Science Pipelines In Theory, In-The-Small, and In-The-Large. | Sumon Biswas, Mohammad Wardat, Hridesh Rajan |
| 2022 | ICSE | DeepDiagnosis: Automatically Diagnosing Faults and Recommending Actionable Fixes in Deep Learning Programs. | Mohammad Wardat, Breno Dantas Cruz, Wei Le, Hridesh Rajan |
| 2021 | ICSE | DeepLocalize: Fault Localization for Deep Neural Networks. | Mohammad Wardat, Wei Le, Hridesh Rajan |
| 2018 | INFOCOM | Cloud data centers revenue maximization using server consolidation: Modeling and evaluation. | Mohammad Wardat, Mahmoud Al-Ayyoub, Yaser Jararweh, Abdallah A. Khreishah |
| 2014 | AICCSA | Topical search engine for Internet of Things. | Mosab Faqeeh, Mahmoud Al-Ayyoub, Mohammad Wardat, Ismail Hmeidi, Yaser Jararweh |