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Mohammad Abu Baker Siddique Akhonda IRTA Fellow, NIA @ NIH Biomedical Research Center Baltmore, MD, 21224 email: akhondams@nih.gov, mo32@umbc.edu Profiles:LinkedIn, Google Scholar, ReseachGate Updated_Resume |
Reseach Interests: Neuroimaging/FMRI/EEG/MEG, Brain Signal Processing, Data Fusion, Machine Learning, Statistical Signal Processing, Brain Computer Interface, Mental Health
Updates:
- 08-19-2022: Ph.D. degree awarded
- 05-24-2022: Ph.D. thesis defended
- Received best student paper award in 2021 IEEE Data Science and Learning Workshop (DSLW)
- Received Best Ph.D. research paper award in 2018 UMBC CSEE research symposium
Publications and presentations:
Journal Publications:- T. Adali, F. Kantar, M.A.B.S. Akhonda, S. Strother, V. Calhoun, and E. Acar ,"Reproducibility in Matrix and Tensor Decompositions: Focus on Model Match, Interpretability, and Uniqueness,"IEEE Signal Processing Magazine, vol. 39, no. 4, pp. 8-24, July 2022.
- M.A.B.S. Akhonda, Y. Levin-Schwartz, V. Calhoun, and T. Adali,"Association of Neuroimaging Data with Behavioral Variables: A Class of Multivariate Methods and Their Comparison Using Multi-Task FMRI Data,"Sensors, vol. 22(3), 1224, Feb 2022.
- M.A.B.S. Akhonda, B. Gabrielson, S. Bhinge, V. Calhoun, and T. Adali, "Disjoint Sub-spaces for Common and Distinct Component Analysis: Application to the Fusion of Multi-task fMRI Data," Journal of Neuroscience Methods, vol. 358, pages 109214, July 2021.
- C. Jia, M. A. B. S. Akhonda, Y. Levin-Schwartz, Q. Long, V. D. Calhoun, and T. Adali, "Consecutive Independence and Correlation Transform for Multimodal Data Fusion: Discovery of One-to-Many Associations in Structural and Functional Imaging Data," Applied Sciences, vol. 11, no. 18, p. 8382, Sep. 2021.
- B. Gabrielson, M. A. B. S. Akhonda, S. Bhinge, J. Brooks, Q. Long, and T. Adali, "Joint-IVA for identification of discriminating features in EEG: Application to a driving study," Biomedical Signal Processing and Control, vol. 61, pages 01948, Aug 2020.
- R. Jin, K. K. Dontaraju, S. J. Kim, M. A. B. S. Akhonda, and T. Adali, "Dictionary Learning-Based fMRI Data Analysis for Capturing Common and Individual Neural Activation Maps," IEEE Journal of Selected Topics in Signal Processing, vol. 14, no. 6, pp. 1265-1279, Oct. 2020.
- T. Adali, M. A. B. S. Akhonda and V. D. Calhoun, "ICA and IVA for Data Fusion: An Overview and a New Approach Based on Disjoint Subspaces," IEEE Sensors Letters, vol. 3, no. 1, pp. 1-4, Jan. 2019.
- H. Yang, M. A. B. S. Akhonda, F. Ghayem, Q. Long, V. D. Calhoun and T. Adali, "Independent Vector Analysis Based Subgroup Identification from Multisubject fMRI Data," in International Conference on Acoustics, Speech and Signal Processing (ICASSP), Singapore, Singapore, 2022, pp. 1471-1475.
- R. Borsoi, I. Lehmann, M. A. B. S. Akhonda, V. D. Calhoun, K. Usevich, D. Brie and T. Adali, "Coupled CP tensor decomposition with shared and distinct components for multi-task fMRI data fusion," arXiv preprint, arXiv:2211.14253, 2022.
- I. Lehmann, E. Acar, T. Hasija, M.A.B.S. Akhonda, V. D. Calhoun, P. J. Schreier, T. Adali, "Multi-Task fMRI Data Fusion Using IVA and PARAFAC2," in International Conference on Acoustics, Speech and Signal Processing (ICASSP), Singapore, Singapore, 2022, pp. 1466-1470.
- M. A. B. S. Akhonda, Q. Long, S. Bhinge, V. D. Calhoun, and T. Adali, "Disjoint Subspaces for Common and Distinct Component Analysis: Application to Task FMRI Data ," in Annual Conference on Information Sciences and Systems (CISS), Baltimore, MD, 2019, pp. 1-6.
- B. Gabrielson, M. A. B. S. Akhonda, Z. Boukouvalas, S. J. Kim and T. Adali, "ICA with Orthogonality Constraint: Identifiability and A New Efficient Algorithm," in International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021, pp. 3720-3724.
- M. A. B. S. Akhonda, Y. Levin-Schwartz, S. Bhinge, V. D. Calhoun and T. Adali, "Consecutive Independence and Correlation Transform for Multimodal Fusion: Application to EEG and fMRI Data," in International Conference on Acoustics, Speech and Signal Processing (ICASSP), Calgary, AB, 2018, pp. 2311-2315.
- M. A. B. S. Akhonda, B. Gabrielson, V. D. Calhoun and T. Adali, "Complete Model Identification Using Independent Vector Analysis: Application to the Fusion of Task FMRI Data," in IEEE Data Science and Learning Workshop (DSLW),Torento, Canada, 2021, pp. 1-6.
- Z. Luo, Q. Long, S. Bhinge, M. A. B. S. Akhonda and T. Adali, "Identification of Subgroup Differences Using IVA: Application to fMRI Data Fusion," in 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2020, pp. 1683-1686.
- C. Jia, M. A. B. S. Akhonda, Q. Long, V. D. Calhoun, S. Waldstein and T. Adali, "C-ICT for Discovery of Multiple Associations in Multimodal Imaging Data: Application to Fusion of fMRI and DTI Data," in 53rd Annual Conference on Information Sciences and Systems (CISS), 2019, pp. 1-5.
- K. Dontaraju, S. Kim, M. A. B. S. Akhonda and T. Adali, "Capturing Common and Individual Components in fMRI Data by Discriminative Dictionary Learning," in 52nd Asilomar Conference on Signals, Systems, and Computers, 2018, pp. 1351-1356
