| 2025 | ICMLA | Predicting Wildfire Spread with Attention U-Net: A Multi-Feature Geospatial Deep Learning Approach. | Khalil I. Almakrami, Rose Atuah, Michael P. McGuire |
| 2025 | SERA | Attention-Driven Separable Convolutional Networks for Efficient and Explainable Forest Fire Detection: ForestFlameNet. | Khalil I. Almakrami, Rose Atuah, Michael P. McGuire |
| 2023 | ICMLA | Tropical Cyclone Intensity Forecasting Using Deep Learning. | Rose Atuah, Martin Pineda, Daniel McKirgan, Qianlong Wang, Michael P. McGuire |
| 2021 | ICMLA | Deep Learning Methods for the Prediction of Information Display Type Using Eye Tracking Sequences. | Yuehan Yin, Yahya Alqahtani, Jinjuan Heidi Feng, Joyram Chakraborty, Michael P. McGuire |
| 2019 | HCI | Understanding How ADHD Affects Visual Information Processing. | Yahya Alqahtani, Michael P. McGuire, Joyram Chakraborty, Jinjuan Heidi Feng |
| 2018 | ER | SQL or NoSQL? Which Is the Best Choice for Storing Big Spatio-Temporal Climate Data? | Jie Lian, Sheng Miao, Michael P. McGuire, Ziying Tang |
| 2018 | ICMLA | Classification of Eye Tracking Data Using a Convolutional Neural Network. | Yuehan Yin, Chunghao Juan, Joyram Chakraborty, Michael P. McGuire |
| 2013 | ICDM | Mining Semantic Time Period Similarity in Spatio-Temporal Climate Data. | Michael P. McGuire, Ziying Tang |
| 2012 | ICDE | TNeT: Tensor-Based Neighborhood Discovery in Traffic Networks. | Yanan Sun, Vandana Pursnani Janeja, Michael P. McGuire, Aryya Gangopadhyay |
| 2008 | KDD | Spatiotemporal Neighborhood Discovery for Sensor Data. | Michael P. McGuire, Vandana Pursnani Janeja, Aryya Gangopadhyay |