Mattingley Lab Website: Cognitive Neuroscience at UQ

Sepideh Kilani

PhD Student

Supervisors

Current Research

My PhD addresses the challenge of tracking information flow between brain regions. Traditional methods often miss intricate multidimensional interactions and fail to capture what is exchanged between areas. My research aims to bridge this gap by developing new methods to reveal transferred information without assumptions.

Research interests

Multidimensional interactions

Publications

Kilani, S., Aghili, S. N., Fathi, Y., & Sburlea, A. I. (2024). Optimization of transfer learning based on source sample selection in Euclidean space for P300-based brain-computer interfaces. Frontiers in Neuroscience, 18. https://doi.org/10.3389/fnins.2024.1360709

Kilani, S., Aghili, S. N., Hulea, M. (2023). Enhancing P300-Based Brain-Computer Interfaces with Hybrid Transfer Learning: A Data Alignment and Fine-Tuning Approach. Applied Sciences, 13(10‏‏). https://doi.org/10.3390/app13106283

Aghili, S. N., Kilani, S., Khushaba, R. N., & Rouhani, E. (2023). A spatial-temporal linear feature learning algorithm for P300-based brain-computer interfaces. Heliyon, 9(4). https://doi.org/10.1016/j.heliyon.2023.e15380

Aghili, S. N., Kilani, S., Rouhani, E., & Akhavan, A. (2023). A Novel Fast ICA-FBCCA Algorithm and Convolutional Neural Network for Single-Flicker SSVEP-Based BCIs. IEEE Access. https://doi.org/10.1109/ACCESS.2023.3347336

Conference Papers

Kilani, S., Kordmahale, S. N. A., Ghassemlooy, Z., Hulea, M., & Wu, Q. (2022, July). Reducing calibration time using novel hybrid transfer-learning for P300-based BCI applications. In 2022 13th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP) (pp. 401-405). IEEE.‏ https://doi.org/10.1109/CSNDSP54353.2022.9908000

Kordmahale, S. N. A., Kilani, S., Ghassemlooy, Z., Wu, Q., & Maleki, A. (2022, July). A novel artifact removal method for the SSVEP signal using hybrid CCA-DWT and comparative analysis for feature selection and classification in the P300 signal. In 2022 13th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP) (pp. 390-394). IEEE.‏ https://doi.org/10.1109/CSNDSP54353.2022.9907961

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