Projects per year
Personal profile
Biography
FUAD M. NOMAN received the PhD degree in Biomedical engineering from Universiti Teknologi Malaysia, Skudai, Johor, in 2019. He obtained his M.Sc degree in Electronics Engineering (Telecommunication System) from Universiti Teknikal Malaysia Melaka in 2011 and his B.Sc degree in Electronics from University of Sudan for Science and Technology. He was a postdoctoral fellow in the Institute of Sustainable Energy (ISE), University Tenaga National (UNITEN). His research interests include signals and biosignals processing, machine learning applications, and biometrics.
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
Biomedical Engineering, PhD, Universiti Teknologi Malaysia (University of Technology Malaysia)
17 Dec 2014 → 17 Apr 2019
Award Date: 17 Apr 2019
Research area keywords
- Biomedical Engineering
- Artificial Intelligence
- Signal Processing
- Deep learning
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
- 2 Active
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Deriving Functional MRI Equivalent Biomarkers in Friedreich Ataxia Solely Using Brain Structure Data
Saha, S., Cao, T., Naeije, G., Noman, F., Georgiou-Karistianis, N. & Fornito, A.
Friedreich's Ataxia Research Alliance (United States of America)
1/09/24 → 31/08/25
Project: Research
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Æinstein: Adversarial AI amongst Materials Discovery Domains
Phan, R., Pal, A., Rajanala, S., Ting, C., Krishnasamy, G., Noman, F., Shu Min, L., Liu, J., Rudolph, C., Steinfeld, R., Siang Piao, C., Tumian, A. & Nik Hashim, N. N. W.
1/06/24 → 31/05/26
Project: Research
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A Deep Probabilistic Spatiotemporal Framework for Dynamic Graph Representation Learning with Application to Brain Disorder Identification
Yap, S-Y., Loo, J. Y., Ting, C-M., Noman, F., Phan, R. C. W., Razi, A. & Dowe, D. L., 2024, Proceedings of the 33rd International Joint Conference on Artificial Intelligence, IJCAI 2024. Larson, K. (ed.). Marina del Rey CA USA: Association for the Advancement of Artificial Intelligence (AAAI), p. 5353-5361 9 p. (IJCAI International Joint Conference on Artificial Intelligence).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
Open Access -
Graph autoencoders for embedding learning in brain networks and major depressive disorder identification
Noman, F., Ting, C. M., Kang, H., Phan, R. C. W. & Ombao, H., Mar 2024, In: IEEE Journal of Biomedical and Health Informatics. 28, 3, p. 1644-1655 12 p.Research output: Contribution to journal › Article › Research › peer-review
8 Citations (Scopus) -
A unified framework for static and dynamic functional connectivity augmentation for multi-domain brain disorder classification
Tan, Y-F., Ting, C. M., Noman, F., Phan, R. C. W. & Ombao, H., 2023, 2023 IEEE International Conference on Image Processing, Proceedings. Ngo, C-W. & See, J. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 635-639 5 p. (Proceedings - International Conference on Image Processing, ICIP).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
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A brief review of computation techniques for ECG signal analysis
Hussain, S. S., Noman, F., Hussain, H., Ting, C-M., bin Hamid, S. R. G. S., Sh-Hussain, H., Jalil, M. A., Ahmad, A. Z., Rizvi, S. Z. H., Kipli, K., Jacob, K., Ray, K., Shamim Kaiser, M., Mahmud, M. & Ali, J., 28 Feb 2022, Proceedings of the Third International Conference on Trends in Computational and Cognitive Engineering, TCCE 2021. Kaiser, M. S., Ray, K., Bandyopadhyay, A., Jacob, K. & Long, K. S. (eds.). Singapore Singapore: Springer, p. 223-234 12 p. (Lecture Notes in Networks and Systems; vol. 348).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other › peer-review
2 Citations (Scopus) -
Classification of ECG ventricular beats assisted by Gaussian parameters’ dictionary
Salleh, S. H., Noman, F., Hussain, H., Ting, C-M., Hamid, S. R. B. G. S., Sh-Hussain, H., Jalil, M. A., Zubaidi, A. L. A., Rizvi, S. Z. H., Kipli, K., Jacob, K., Ray, K., Kaiser, M. S., Mahmud, M. & Ali, J., 28 Feb 2022, Proceedings of the Third International Conference on Trends in Computational and Cognitive Engineering, TCCE 2021. Kaiser, M. S., Ray, K., Bandyopadhyay, A., Jacob, K. & Long, K. S. (eds.). Singapore Singapore: Springer, p. 533-548 16 p. (Lecture Notes in Networks and Systems; vol. 348).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research