September 23: I successfully defended my dissertation proposal defense and passed my comprehensive exam. Dissertation title: Enhancing Cognitive Load Prediction Using Deep Learning Leveraging Multimodal Representations of EEG
September 16: Our Manuscricript "Deep Learning Framework for Modeling Cognitive Load from Small and Noisy EEG data" has been accepted for publication in the IEEE Transactions on Cognitive and Developmental System
2022
December 22: Our Manuscricript "Unraveling Spatial-Spectral Dynamics of Speech Categorization Speed Using Convolutional Neural Networks" has been accepted for publication in the journal of Brain Sciences
2021
December 06: I successfully defended my Master's thesis in Computer Engineering at the University of Memphis. Thesis title: A Deep Generative and Discriminative Approach in Modelling Spatial-spectral Dynamics of Varying Cognitive Load from EEG Recordings
December 13: I Attended and presented my recent work at 20th International Conference on Machine Learning and Applications
September 09: Our Manuscript " Predicting Cognitive Load using Parameter-optimized CNN from Spatial-Spectral Representation of EEG Recordings" has been accepted as a conference paper at 20th International Conference on Machine Learning and Applications