Md. Ibrahim Khalil

Designation: Lecturer

Department: Department of Computer Science & Engineering

School: South Asia School of Engineering

Mr. Ibrahim Khalil is a Lecturer in the Department of Computer Science at the University of South Asia. He received his M.Sc. in Computer Science from Nanjing University of Science and Technology (NJUST) and completed his B.Sc. in Software Engineering from the same institution. His research interests focus on EEG signal processing, Machine Learning, Artificial Intelligence, and Graph Neural Networks (GNNs). His work primarily explores advanced graph-based deep learning architectures for the analysis and interpretation of brain signals. Through this research, he aims to contribute to enhancing the interpretation and classification of brain signals for applications in neurological disorder detection, brain-computer interfaces, and cognitive state analysis, thereby advancing the effectiveness of pattern recognition and AI-driven decision-making.

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1. “Exploring physical and functional EEG connectivity with multilayer graph transformer convolutional networks for emotion recognition” Frontiers in Human Neuroscience, Published by Frontiers, (January 2026).

2. “A hybrid graph attention network with multi-dimensional features for enhanced EEG-based emotion recognition” Biomedical Physics & Engineering Express, Published by IOP Publishing, (February 2026).

3. “Advancement in Graph Neural Networks for EEG Signal Analysis and Application: A Review” Published by IEEE Access, (January 2025).

4. “Attention-Based Graph Neural Networks” 2023 IEEE 3rd International Conference on Software Engineering and Artificial Intelligence (SEAI), (June 2023).