| 2024 | SIGCSE | CAET: Code Analysis and Education Tutor. | Colin Glynn, Emily Hed, Abbigail Pexa, Tyler Pohlmann, Imad Rahal, Robert Hesse |
| 2021 | FlAIRS | Efficient Algorithmic Music Composition Using Neural Networks. | Imad Rahal, Ryan Strelow, Jeremy Iverson |
| 2016 | FlAIRS | Parallelizing Instance-Based Data Classifiers. | Imad Rahal, Emily Furst, Ramzi A. Haraty |
| 2015 | FlAIRS | Data Preprocessing via Polynomial Fitting to Improve Clustering of Spoken Arabic Digits. | Imad Rahal, Preston Hardy, Kelsey Weiers |
| 2008 | CAINE | Towards Efficient Source Code Plagiarism Detection: An N-gram-based Approach. | Imad Rahal, Joseph Degiovanni |
| 2008 | ICDM | Parallel Hierarchical Clustering on Market Basket Data. | Baoying Wang, Qin Ding, Imad Rahal |
| 2008 | SIGCSE | Undergraduate research experiences in data mining. | Imad Rahal |
| 2007 | ICDM | WC-Clustering: Hierarchical Clustering Using the Weighted Confidence Affinity Measure. | Baoying Wang, Imad Rahal |
| 2005 | SAC | Incremental interactive mining of constrained association rules from biological annotation data with nominal features. | Imad Rahal, Dongmei Ren, Amal Perera, Hassan Najadat, William Perrizo, Riad Rahhal, Willy Valdivia Granda |
| 2004 | CATA | Efficient Ranking of Keyword Queries Using P-trees. | Fei Pan, Imad Rahal, Yue Cui, William Perrizo |
| 2004 | CIKM | A vertical distance-based outlier detection method with local pruning. | Dongmei Ren, Imad Rahal, William Perrizo, Kirk Scott |
| 2004 | ICTAI | Mining Confident Minimal Rules with Fixed-Consequents. | Imad Rahal, Dongmei Ren, Weihua Wu, William Perrizo |
| 2004 | ICTAI | A Vertical Outlier Detection Algorithm with Clusters as By-Product. | Dongmei Ren, Imad Rahal, William Perrizo |
| 2004 | SAC | An optimized approach for KNN text categorization using P-trees. | Imad Rahal, William Perrizo |
| 2004 | SIGMOD | DataMIME™. | Masum Serazi, Amal Perera, Qiang Ding, Vasiliy Malakhov, Imad Rahal, Fei Pan, Dongmei Ren, Weihua Wu, William Perrizo |
| 2003 | CATA | Accelerating Multilevel Secure Database Queries using P-Tree Technology. | Imad Rahal, William Perrizo |