| 2021 | AAAI | Interpretable Self-Supervised Facial Micro-Expression Learning to Predict Cognitive State and Neurological Disorders. | Arun Das, Jeffrey Mock, Yufei Huang, Edward J. Golob, Peyman Najafirad |
| 2019 | SMC | Predicting Auditory Spatial Attention from EEG using Single- and Multi-task Convolutional Neural Networks. | Zhentao Liu, Jeffrey Mock, Yufei Huang, Edward J. Golob |
| 2019 | SMC | A Semi-Supervised Wasserstein Generative Adversarial Network for Classifying Driving Fatigue from EEG signals. | Sharaj Panwar, Paul Rad, John Quarles, Edward J. Golob, Yufei Huang |
| 2018 | CogSci | Computational Model of Spatial Auditory Attention in ACT-R. | Jaelle Scheuerman, Maxwell T. Anderson, K. Brent Venable, Edward J. Golob |
| 2018 | SMC | Single-Trial Classification of Disfluent Brain States in Adults Who Stutter. | Jeffrey Mock, John Myers, Farzan Irani, Kay Robbins, Edward J. Golob |
| 2017 | CogSci | Computational modeling of auditory spatial attention. | Edward J. Golob, K. Brent Venable, Jaelle Scheuerman, Maxwell T. Anderson |
| 2017 | IJCAI | Modeling Spatial Auditory Attention: Handling Equiprobable Attended Locations. | Jaelle Scheuerman, K. Brent Venable, Maxwell T. Anderson, Edward J. Golob |
| 2015 | AAAI | Companion-Based Ambient Robust Intelligence (CARING). | Bonnie J. Dorr, Lucian Galescu, Edward J. Golob, K. Brent Venable, Yorick Wilks |