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Department of Electrical, Electronic and Systems Engineering

Predictive Analytic Research

Slider

Machine Learning, Deep Neural Network, Intelligent Systems, Iot Related Healthcare Technology, Medical Image Analysis

The Predictive Analytic Research Group is a part of the Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia. This group aims to undergo research in making and improvising predictions about future outcomes based on statistical modelling and algorithm from predictive modelling, machine learning and data mining. The science of predictive analytic can go beyond knowing what the best appraisal is to produce future insight with the significant degree of precision.

PEOPLE

Name

Position

Expertise

Email

Assoc. Prof. Dr. Wan Mimi Diyana Wan Zaki

Head of Group

Biomedical Imaging

Digital Image Processing

wmdiyana [at] ukm.edu.my

Prof. Dr. Aini Hussain

Academic Staff

Pattern Recognition

Computer Vision

Machine learning

Computational Intelligence & Signal Processing

Power Quality

draini [at] ukm.edu.my

Assoc. Prof. Ir. Dr. Nazrul Anuar Nayan

Academic Staff

Biomedical Instrumentation & Signal Processing

Application of Graphene

nazrul [at] ukm.edu.my

Dr. Aqilah Baseri Huddin

Academic Staff

Image Processing

Artificial Intelligence

Deep Learning Network

aqilah [at] ukm.edu.my

Dr. Noraishikin Zulkarnain

Academic Staff

Control System

Biomedical Engineering (Image Processing)

Vehicle Dynamics

shikinzulkarnain [at] ukm.edu.my

Aziah Ali

PhD Student

TBA

P84141 [at] siswa.ukm.edu.my

Laily Azyan Ramlan

Master Student

TBA

P102323 [at] siswa.ukm.edu.my

Marwah Mohammed Mosa

Master Student

TBA

P102064 [at] siswa.ukm.edu.my

Assyareefah Hudaibah Saad

Master Student

TBA

P106549 [at] siswa.ukm.edu.my

Asma' Amirah Nazarudin

Master Student

Combinatorial Collinear and Triangle Equations for Ovarian Ultrasound Image Segmentation to identify Follicle

p102835@siswa.ukm.edu.my

Nurul Syahira Mohamad Zamani

Research Assistant

TBA

P94556 [at] siswa.ukm.edu.my

ReSEARCH

Current research projects :

  1. Kaedah Penggredan Katarak Secara Automatik menggunakan Imej Mata Terangkum Hadapan
  2. Pengesanan Automatik Buah Pinggang Kronik Menggunakan Pengukuran Vaskular Imej Retina
  3. Kaedah Kombinatori Hutan Rawak dengan Penuras Frangi dan B-Cosfire untuk Pengesanan Salur Darah Retina
  4. Pembangunan Kaedah Automasi Bioimej Unit Pembentuk Koloni Sel Stem
  5. myMata: A Connected Ocular Disease Screening System
  6. Combinatorial Collinear and Triangle Equations for Ovarian Ultrasound Image Segmentation to identify Follicle

Recent Publications

Article Information

Authors

Automated Pterygium Detection Using Deep Neural Network.

N Syahira M Zamani, W Mimi Diyana W Zaki, Aqilah Baseri Huddin, Aini Hussain, Haliza Abdul Mutalib, Aziah Ali.

Keratoconus Detection Using The Fusion Features Of Anterior And Lateral Segment Photographed Images. 

Marizuana M. Daud, W. Mimi Diyana W. Zaki, Aini Hussain And Haliza A. Mutalib.

Stem Cell Imaging Through Convolutional Neural Networks Current Issues and Future Directions in Artificial Intelligence Technology.

Ramanaesh Rao Ramakrishna,Zariyantey Abd Hamid,Wan Mimi Diyana Wan Zaki, Aqilah Baseri Huddin,Ramya Mathialagan. 

Hybrid Automatic Lung Segmentation on Chest Ct Scans.

Tao Peng, Thomas Canhao Xu, Yihuai Wang, Hailing Zhou, Sema Candemir, Wan Mimi Wan Mimi Diyana Wan Zaki, Shano-Jang Ruan, Jing Wang, Xinijian Chen.

A Fast-Specular Reflection Removal Based On Pixels Properties Method.

Shahrizan Jamaludin, Nasharuddin Zainal, W. Mimi Diyana W. Zaki. 

Automated Corneal Segmentation of Anterior Segment Photographed Images Using Centroid-Based Active Contour Model.

Marizuana M. Daud, W. Mimi Diyana W. Zaki , Aini Hussain, Haliza Mutalib, M. Hanif Md Saad, Aishah Razak

Denoising of Hydrogen Evolution Acoustic Emission Signal Based on Non-Decimated Stationary Wavelet Transform

May, Z., Alam, M. K., Rahman, N. A. A., Mahmud M. S., Nayan, N. A.

Cardiovascular Disease Prediction from Electrocardiogram by using Machine Learning

Nayan, N. A., A. Hamid, H. et. al.

Automated Pterygium Detection in Anterior Segment Photographed Images Using Deep Convolutional Neural Network

Assyareefah Hudaibah Saad, N Syahira M Zamani, W Mimi Diyana W Zaki, Aqilah Baseri Huddin, Aini Hussain

CBIRDSN: Integrating Clustering and Retrieval Platforms for Disk Space Narrowing Degradation Assessment, Multimedia Tools and Applications

Aouache Mustapha, Aini Hussain, Wan Siti Halimatul Munirah Wan Ahmad, Wan Mimi DiyanaWan Zaki, Hamzaini Abdul Hamid,

An implementation of Otsu thresholding and the Chan–Vese method on the PCO segmentation of ultrasound images

AA Nazarudin, N Zulkarnain, SS Mokri, WMDW Zaki, A Hussain

Review on automated follicle identification for polycystic ovarian syndrome

A A Nazarudin, Noraishikin Zulkarnain, A. Hussain, S. S. Mokri, I. N. A. M. Nordin

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