Projects per year
Personal profile
Biography
Jessica Monaghan started her scientific career reading Natural Sciences at the University of Cambridge, specialising in Physics. There she completely her Masters research project into how the principles of human listening might be applied to improve automatic speech recognition by machines at the Centre for the Neural Basis of Hearing (CNBH). After working at the CNBH for a year as a research assistant, she undertook her PhD studies at the UK Medical Research Council’s Institute for Hearing Research, where she developed an algorithm to improve the ability of cochlear implant users to localise sounds in rooms. As a postdoctoral researcher at the University of Southampton, she developed noise-reduction algorithms for hearing aids and cochlear implants using state-of-the-art machine learning techniques such as neural network and sparse coding. In 2015 she moved to Australia to work as a Research Fellow at Macquarie University, where she is researching the ability of people with normal hearing to understand speech in noisy environments, and using this knowledge to develop the next generation of hearing devices.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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HEaring Impairment Data Infrastructure (HEIDI) Study: Data Analytics for Better Hearing Health Care
Gopinath, B., Coiera, E., McMahon, C., Tran, Y., Berkovsky, S., Gu, T., Monaghan, J., Mitchell, R. & Tang, D.
25/03/22 → 25/03/25
Project: Research
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Speech Enhancement in Humans and Machines
Monaghan, J., Goehring, T., Bleeck, S. & McMahon, C.
13/03/17 → …
Project: Research
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Listen and Learn - Statistical Learning and the Adapting Auditory Brain
McAlpine, D., Badcock, N., Sowman, P., Chait, M., Todd, J., Monaghan, J., Undurraga Lucero, J. & Harper, N. S.
28/05/18 → 27/05/21
Project: Other
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International Networking Between Research Centres
Undurraga Lucero, J., McAlpine, D., Monaghan, J., Bowen Moreno, M., Zañartu, M., Prado, P., El-Deredy, W. & R. Paul, D.
1/02/18 → 1/02/20
Project: Research
Research Outputs
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Deep factor learning for accurate brain neuroimaging data analysis on discrimination for structural MRI and functional MRI
Ke, H., Chen, D., Yao, Q., Tang, Y., Wu, J., Monaghan, J., Sowman, P. & McAlpine, D., 2024, In: IEEE/ACM Transactions on Computational Biology and Bioinformatics. 21, 4, p. 582-595 14 p.Research output: Contribution to journal › Article › peer-review
7 Citations (Scopus) -
The neural representation of an auditory spatial cue in the primate cortex
Undurraga, J. A., Luke, R., Van Yper, L., Monaghan, J. J. M. & McAlpine, D., 20 May 2024, In: Current biology : CB. 34, 10, p. 2162-2174, e1–e5 19 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile30 Downloads (Pure) -
Cross-modal functional connectivity supports speech understanding in cochlear implant users
Fullerton, A. M., Vickers, D. A., Luke, R., Billing, A. N., McAlpine, D., Hernandez-Perez, H., Peelle, J. E., Monaghan, J. J. M. & McMahon, C. M., 1 Apr 2023, In: Cerebral Cortex. 33, 7, p. 3350–3371 22 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile12 Citations (Scopus)67 Downloads (Pure) -
Disentangled and side-aware unsupervised domain adaptation for cross-dataset subjective tinnitus diagnosis
Li, Y., Liu, Z., Yao, L., Monaghan, J. J. M. & McAlpine, D., 1 Jan 2023, In: IEEE Journal of Biomedical and Health Informatics. 27, 1, p. 538-549 12 p.Research output: Contribution to journal › Article › peer-review
2 Citations (Scopus) -
Functional connectivity learning via Siamese-based SPD matrix representation of brain imaging data
Tang, Y., Chen, D., Wu, J., Tu, W., Monaghan, J. J. M., Sowman, P. & Mcalpine, D., Jun 2023, In: Neural Networks. 163, p. 272-285 14 p.Research output: Contribution to journal › Article › peer-review
2 Citations (Scopus)
Datasets
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The neural representation of an auditory spatial cue in primate cortex
Undurraga Lucero, J. (Owner), Luke, R. (Contributor), Van Yper, L. (Contributor), Monaghan, J. (Contributor) & McAlpine, D. (Contributor), Macquarie University, 5 May 2024
DOI: 10.25949/25585946.v2
Dataset