| 2026 | FlAIRS | Multi-Stream Fusion of Spatial, Frequency, and Attention Features for Robust Deepfake Detection in Low-Resolution Images. | Vaishnavi Sen, Cody Laurie, Rashida Hasan |
| 2026 | FlAIRS | HARD-Xception - A Hybrid Adversarially Robust Deepfake Detection Framework Using Frequency Decomposition and Feature Consistency Learning. | Dhruv Vagadiya, Vaishnavi Sen, Rashida Hasan |
| 2026 | ICPRAM | Going beyond Majority Vote: Composite-Aware Soft Voting in Random Forest. | Cody Laurie, Martin Ha, Elijah Sagaran, Rashida Hasan |
| 2026 | ICPRAM | Real-Time Proactive Anomaly Detection via Forward and Backward Forecast Modeling. | Luis Olmos, Rashida Hasan |
| 2025 | ICDM | A Multi-Snapshot Sketching Framework for Anomaly Detection in Streaming Graphs. | Luis Olmos, Rashida Hasan |
| 2025 | ICDM | A Comparative Analysis of Object Detection Models for Plant Leaf Counting Under Overlapping Foliage Conditions. | Elijah Sagaran, Martin Ha, Olena Molla, Shanlin Qian, Rahi Misra, Mario Giraldo, Rashida Hasan, Li Liu, Xunfei Jiang |
| 2025 | ICMLA | An Autoencoder-based Feature Selection with Optimized Reconstruction Loss and Feature Scoring. | Monitha Davuluri, Manish Vikrama, Rashida Hasan |
| 2025 | ICMLA | A Feature-based Linguistic and Statistical Framework for AI-Generated Text Detection. | Vaishnavi Sen, Rashida Hasan |
| 2024 | SAC | A Heterogeneous Ensemble Method for Handling Class Noise in Supervised Machine Learning. | Rashida Hasan, Chee-Hung Henry Chu |
| 2022 | ICPRAM | Noise in Datasets: What Are the Impacts on Classification Performance? | Rashida Hasan, Chee-Hung Henry Chu |