Research Interest: Computational Intelligence for –
1) Computational Neuroscience, Brain Functional Connectivity Study, Autism Spectrum Disorder, Schizophrenia
2) Gene Expression, Cancer Expression Data, Pathway Analysis
Research
Publications
Copyright
Conference Presentation
- “Explainable Deep Learning for Personalized Prediction of Brain Behaviour and Neuropsychiatric Disorders from Brain Connectivity Networks”
PhD Scholar @ School of Information Technology, Monash University Malaysia
October 2022 – April 2026
Supervisory Team: A/Prof Ting Chee Ming (Main), A/Prof David Dowe, A/Prof Adeel Razi, Prof Raphaël Phan - “Identifying Neuropsychiatric Disorders from Brain Functional Networks Using Deep Learning”
Research Assistant @ School of Information Technology, Monash University Malaysia
April 2021 – September 2021
Supervisor: A/Prof. Ting Chee Ming - “Convolutional Autoencoder Producing Latent Representation For Functional Connectivity Study of Autism Spectrum Disorder”
Undergraduate Student Researcher @ Brain Mapping Unit, Department of Psychiatry, University of Cambridge
September 2019 – January 2020
Director of Research: Dr. John Suckling - “Elastic SCAD SVM Cluster For The Selection of Informative Functional Connectivity in Autism Spectrum Disorder Classification”
Undergraduate Final Year Project @ Universiti Teknologi Malaysia
February 2019 – August 2020
Supervisor: Dr. Weng Howe Chan
Indexed Journal
- S.Y. Yap and W.H. Chan (2021) ‘Elastic SCAD SVM Cluster for The Selection of Significant Functional Connectivity in Autism Spectrum Disorder Classification’, Academia of Fundamental Computing Research, 1(2), pp. 1–8. Available at: http://excelligentacademia.com/journal/index.php/AFCR/article/view/49.
Conference Publications
- S.Y. Yap and W.H. Chan, “Poster: Elastic SCAD SVM Cluster For The Selection Of Informative Functional Connectivity In Autism Spectrum Disorder Classification”. The 19th International Conference on Bioinformatics (InCoB 2020), 2020. Conference proceedings available at:https://incob.apbionet.org/incob20/wp-content/uploads/2021/01/Abstract-Book-InCoB-2020_FinalVersion.pdf
- S.Y. Yap, W.H. Chan, H.W. Nies and A.A. Samah, “Identification of Informative Functional Connectivity in Autism Spectrum Disorder using Penalized SVM Cluster”. International Conference on Applied Computing 2021. Conference website: https://engineering.utm.my/computing/alias/icac-home/
- “A Penalized SVM based cluster method for identifying significant region of interests in fMRI data. “
Ref No: L Y2020006347
Funding Type: Fundamental Research Grant Scheme
Funding Source: Ministry of Education, Government
© 2021 Universiti Teknologi Malaysia – All Rights Reserved.
- “Poster: Elastic SCAD SVM Cluster For The Selection of Informative Functional Connectivity in Autism Spectrum Disorder Classification”
Evaluation: Strong Accept
The 19th International Conference On Bioinformatics (InCob 2020)
Organizer: Asia Pacific Bioinformatics Network (APBioNet)
