Projects per year
Personal profile
Biography
Duong Nhu is a Research Fellow at the AIM lab, Faculty of Information Technology. Duong's research is primarily centred around the implementation of deep learning techniques for the purposes of diagnosing and monitoring epilepsy, as well as developing customized anti-seizure medication management strategies. Given the complex nature of epilepsy, Duong also explores the potential benefits of incorporating multimodal approaches to improve patient outcomes. Through his work, Duong aims to advance our understanding of epilepsy and ultimately improve the lives of those affected by this condition.
Duong was selected as one of 200 participants at the prestigious Heidelberg Laureate Forum in 2022.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Deep learning, Doctor of Philosophy, Deep learning for epilepsy monitoring and diagnosis, MONASH UNIVERSITY
2019 → 2023
Award Date: 2 Mar 2023
Computer Science and Software Engineering, Bachelor of Science (Computer Science and Software Engineering), Swinburne University of Technology
2012 → 2014
Award Date: 1 Dec 2019
Computer Science, Bachelor of Computer Science (Honours), Swinburne University of Technology
2015
Award Date: 1 Dec 2015
Research area keywords
- epilepsy, seizure, EEG, semiology
- Deep Learning
- Wearable technology
- Signal Processing
- Health Informatics
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
Projects
- 1 Finished
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Machine learning for physiological monitoring and epilepsy diagnosis
Nhu, D., Kuhlmann, L., Kwan, P., Gilligan, A. & Skouteris, H.
Epworth Foundation (trading as Epworth HealthCare), Alfred Health
9/10/19 → 8/10/22
Project: Research
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Moving the field forward: detection of epileptiform abnormalities on scalp electroencephalography using deep learning - clinical application perspectives
Janmohamed, M. M. A., Nhu, D., Kuhlmann, L., Gilligan, A., Tan, C. W., Perucca, P., O'Brien, T. J. & Kwan, P., 29 Aug 2022, In: Brain Communications. 4, 5, 15 p., fcac218.Research output: Contribution to journal › Review Article › Research › peer-review
Open Access5 Citations (Scopus) -
Preprocessing code example for searching
Nhu, D. & Chua, C., 28 Sept 2015, Proceedings of the ASWEC 2015 24th Australasian Software Engineering Conference. Kuo, F-C., Shen, H., Ali Babar, M., Marshall, S. & Stumptner, M. (eds.). 2 ed. Association for Computing Machinery (ACM), Vol. 15. p. 28-32 5 p. (ACM International Conference Proceeding Series; vol. 28-September-2015).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
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Automated interictal epileptiform discharge detection from scalp EEG using scalable time-series classification approaches
Nhu, D., Janmohamed, M. M. A., Shakhatreh, L. I. K., Gonen, O., Perucca, P., Gilligan, A., Kwan, P., O'Brien, T. J., Tan, C. W. & Kuhlmann, L., 5 Jan 2023, In: International Journal of Neural Systems. 33, 1, 19 p., 2350001.Research output: Contribution to journal › Article › Research › peer-review
5 Citations (Scopus) -
Deep learning for automated epileptiform discharge detection from scalp EEG: a systematic review
Nhu, D., Janmohamed, M. M. A., Antonic-Baker, A., Perucca, P., O'Brien, T. J., Gilligan, A., Kwan, P., Tan, C. W. & Kuhlmann, L., 19 Oct 2022, In: Journal of Neural Engineering. 19, 5, 31 p.Research output: Contribution to journal › Review Article › Research › peer-review
12 Citations (Scopus) -
Preferences and User Experiences of Wearable Devices in Epilepsy: A Systematic Review and Mixed-Methods Synthesis
Sivathamboo, S., Nhu, D., Piccenna, L., Yang, A., Antonic-Baker, A., Vishwanath, S., Todaro, M., Yap, L. W., Kuhlmann, L., Cheng, W., O'Brien, T. J., Lannin, N. A. & Kwan, P., 27 Sept 2022, In: Neurology. 99, 13, p. e1380-e1392 14 p.Research output: Contribution to journal › Review Article › Research › peer-review
11 Citations (Scopus)
Prizes
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Monash Institute of Medicine and Engineering PhD support funding
Nhu, Duong (Recipient), 2019
Prize: Prize (including medals and awards)
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Most outstanding poster presentation at the 1st Monash Young MedTech Innovators Symposium
Nhu, Duong (Recipient), 2 Oct 2019
Prize: Prize (including medals and awards)
Press/Media
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Epilepsy diagnosis fast-tracked with Monash machine learning technology
8/10/20
1 Media contribution
Press/Media: Research