| 2026 | DBSEC | Where LLM-Assisted Cyberattacks Break Down: A Stage-Level Analysis of Workflow Execution Boundaries. | Gabby Campos, Tam Nguyen, Chetraj Pandey, Prashnna Gyawali, Robin Chataut |
| 2025 | ICDM | Uncertainty-Aware Solar Flare Regression. | Jinsu Hong, Chetraj Pandey, Berkay Aydin |
| 2025 | ICDM | Enhancing Explainability in Solar Energetic Particle Event Prediction: A Global Feature Mapping Approach. | Anli Ji, Pranjal Patil, Chetraj Pandey, Manolis K. Georgoulis, Berkay Aydin |
| 2025 | ICDM | Ordinal Encoding as a Regularizer in Binary Loss for Solar Flare Prediction. | Chetraj Pandey, Jinsu Hong, Anli Ji, Rafal A. Angryk, Berkay Aydin |
| 2024 | DaWaK | Towards Hybrid Embedded Feature Selection and Classification Approach with Slim-TSF. | Anli Ji, Chetraj Pandey, Berkay Aydin |
| 2024 | DSAA | Embedding Ordinality to Binary Loss Function for Improving Solar Flare Forecasting. | Chetraj Pandey, Anli Ji, Jinsu Hong, Rafal A. Angryk, Berkay Aydin |
| 2023 | DaWaK | Beyond Traditional Flare Forecasting: A Data-driven Labeling Approach for High-fidelity Predictions. | Jinsu Hong, Anli Ji, Chetraj Pandey, Berkay Aydin |
| 2023 | DIS | Explainable Deep Learning-Based Solar Flare Prediction with Post Hoc Attention for Operational Forecasting. | Chetraj Pandey, Rafal A. Angryk, Manolis K. Georgoulis, Berkay Aydin |
| 2023 | DSAA | Exploring Deep Learning for Full-disk Solar Flare Prediction with Empirical Insights from Guided Grad-CAM Explanations. | Chetraj Pandey, Anli Ji, Trisha Nandakumar, Rafal A. Angryk, Berkay Aydin |
| 2023 | ICMLA | An Innovative Solar Flare Metadata Collection for Space Weather Analytics. | Jinsu Hong, Chetraj Pandey, Anli Ji, Berkay Aydin |
| 2023 | ICMLA | Unveiling the Potential of Deep Learning Models for Solar Flare Prediction in Near-Limb Regions. | Chetraj Pandey, Rafal A. Angryk, Berkay Aydin |