Associate Professor Dr. Harsa Amylia Mat Sakim

Infografik Harsa Amylia Mat Sakim 2021

Last Updated on 29.03.2021

Personal Info

Universiti Sains Malaysia (USM).

Newcastle Upon Tyne, United Kingdom


Tel : +604 5995821
Fax : +604 5996909
Email : Alamat emel ini dilindungi dari Spambot. Anda perlu hidupkan JavaScript untuk melihatnya. 
Personal Website

Researcher Identifiers
Researcher ID : E-9190-2012
ORCID : 0000-0002-8284-2054
Scopus Author ID: 6504280814
Google Scholar ID: 7qPzx_sAAAAJ
USM Expertise Link : amylia/usmexpertise

Last Updated on 29.03.2021


Biomedical Engineering
Medical Electronics & Instrumentation

Research Interest

Biomdeical engineering embodies an interdisciplinary specialization which emerged from the needs of applying engineering knowledge, principles and techniques to the medical field. In this field, the design and problem solving skills of engineering are combined with medical and biological sciences to improve healthcare diagnosis and treatment; thus management of healtcare. The researches conducted range from basic to aplication which directs to the improvement of healthcare in general.

Selected Publications

Al-Azzawi, N.A, Mat Sakim, H.A., Abdullah ,W.A.K.W., Mohd Yacob, Y. (2011). Efficient Feature-Based Registration for CT-MR Images Based on NSCT and PSO. International conference on Computer, Electrical, and System Sciences, and Engineering. February 22-24, Penang (ICCESSE 2011) organized by World Academy of Science Engineering and Technology (WASET).

Al-Azzawi, N., Mat Sakim, H.A., Wan Abdullah, W.A.K., Ibrahim, H. (2009). Medical Image Fusion Scheme Using Complex Contourlet Transform based on PCA. Proceedings of the 31st Annual Int. Conference of the IEEE on Engineering in Medicine and Biology Society. Paper 457.

Mat Sakim, H.A., N. Mohd Salleh, M. R. Arshad, N. H. Othman. (2009). Evaluation of Morphological Features for Breast Cells Classification Using Neural Networks. Tools and Applications with Artificial Intelligence (Studies In Computational Intelligent). Springer-Verlag, Berlin Heidelberg. 166. 1-9.

Saidin, N., Mat Sakim, H. A., Ngah, U.K., Shuaib, I. L. (2011). Performance Evaluation of Density based Graph Cuts Segmentation Technique of Mammograms. International Conference on Informatics Engineering & Information Science (ICIEIS2011), 16-17 November 2011. Universiti Teknologi Malaysia, Kuala Lumpur.

Mohd Yacob, Y., Mat Sakim, H. A., Mat Isa, N. A. (2011). A Discretization Algorithm Based On Extended Gini Criterion. 3rd International Conference on Machine Learning and Computing, ICMLC 2011, February 26‐28. Singapore.

Al-Azzawi, N. A., Mat Sakim, H. A., Abdullah, W. A. K. W. (2010). Fast free-form registration Based on Kullback- Leibler Distance for Multimodal Medical Image. IEEE Symposium on Industrial Electronics and Applications. 3-5 October 2010. Penang, Malaysia.

Al-Azzawi, N. A., Mat Sakim, H. A., Abdullah, W. A. K. W. (2010). MR image Monomodal registration based on the nonsubsampled contourlet transform and mutual information. International Conference on Computer Applications & Industrial Electronics, ICCAIE 2010, 5-8 December. Kuala Lumpur, Malaysia.
Mohd Salleh, N., Mat Sakim, H.A., Osman, N.H. (2008). Neural Networks to Evaluate Morphological Features for Breast Cells Classification. IJCSNS International Journal of ComputerScience and Network Security.8(9).

Md Yusof, N., Mat Isa, N.A., Mat Sakim, H.A., (2007). Computer-aided Detection and Diagnosis for Microcalcifications in Mammogram: A Review. International Journal of ComputerScience and Network Security.202-208.

Naguib, R.N.G., Mat Sakim, H.A., Lakshmi, M.S., Wadehra, V., Lennard, T.W.J., Bhatavdekar, J., Sherbet, G.V. (1999). DNA Ploidy and Cell Cycle Distribution of Breast Cancer Aspirate Cells Measured By Image Cytometry And Analyzed by Artificial Neural Networks for their Prognostic Significanse. IEEE Information Technology in Biomedicine. 3(1). 61-69.

Mat Sakim, H.A., Naguib, R.N.G., Lakshmi, M.S., Wadehra, V., Lennard, T.W.J., Bhatavdekar, J., Sherbet, G.V. (1998). Analysis of Image Cytometry Data of Fine Needle Aspirated Cells of Breast Cancer Patiens: A Comparison Between Logistic Regression and Artificial Neural Networks. Anticancer Research (International Journal of Cancer Research and Treatment). 18. 2723-2726.


Title Development Of Intelligent Diagnostic Tools For Endoscopic Gastritis
Amount RM164,513
Researchers Harsa Amylia Mat Sakim(leader),
Lee Yeong Yeh, Nor Ashidi Mat Isa
Duration 1 May 2010 - 30 April 2013

New! Postgraduate Opportunity

Full Time Postgraduate Candidate

Research Title : Segmentation of Coronary Angiography Images Using Deep Learning Techniques.
Field : Electronic Engineering / Medical Image Processing 
Lecturer : AP Dr. Harsa Amylia Mat Sakim

Interested candidates can send their CV (together with the names and contact details of TWO referees) and Cover Letter to Assoc. Prof. Dr. Harsa Amylia Mat Sakim (Alamat emel ini dilindungi dari Spambot. Anda perlu hidupkan JavaScript untuk melihatnya.).