Conference and Journal Publications
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1. Havugimana, Felix, Kazi Ashraf Moinudin, and Mohammed Yeasin. "Deep learning framework for modeling cognitive load from small and noisy eeg data." IEEE Transactions on Cognitive and Developmental Systems (2023)
2. Havugimana, F., Muhammad, M. B., Moinudin, K. A., & Yeasin, M. (2021, December). Predicting Cognitive Load using Parameter-optimized CNN from Spatial-Spectral Representation of EEG Recordings. In 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA) (pp. 710-715). IEEE.
3. Moinuddin, K. A., Havugimana, F., Al-Fahad, R., Bidelman, G. M., & Yeasin,M. (2022). Unraveling Spatial-Spectral Dynamics of Speech Categorization Speed Using Convolutional Neural Networks. Brain Sciences, 13(1), 75
4. Havugimana, F. (2021). A DEEP GENERATIVE AND DISCRIMINATIVE APPROACH IN MODELLING SPATIAL-SPECTRAL DYNAMICS OF VARYING COGNITIVE LOAD FROM EEG RECORDINGS (Thesis, The University of Memphis)
Poster Presentations
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1. Gabriel, D. B. K., Havugimana, F., Liley, A. E., Aguilar, I., Minnes, G., Johnson, G. R., Yeasin, M., & Simon, N. W. (2021). Neuronal activity in lateral orbitofrontal cortex predicts risk of punishment during decision making in rats. Society for Neuroscience.
2. Gabriel, D. B. K., Havugimana, F., Liley, A. E., Aguilar, I., Minnes, G., Yeasin, M., & Simon, N. W. (2021). Neuronal activity in lateral orbitofrontal cortex signals risk parameters and predicts choice during risky decision-making. University of Memphis Cajal Club