Mohd Halim Mohd Noor, Dr.

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  Senior Lecturer

  Email : This email address is being protected from spambots. You need JavaScript enabled to view it.

  Tel : +604 653 4757
  Fax : +604 653 3335
  Room : 610
  
  School of Computer Sciences, Universiti Sains Malaysia, 11800 USM, Pulau Pinang

  Research Cluster

  Data To Knowledge

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  Research Interest

  Machine learning and deep learning for computer vision and pervasive computing.

  Specialization

  Machine Learning and Deep Learning

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Qualifications

BEng, Computer and Information Engineering
MSc, Electrical and Electronic Engineering
PhD, Computer Systems Engineering

Research Interests

My research is in the fields of machine learning and deep learning for computer vision and pervasive computing. Currently, I am focusing on problems in human activity recognition and medical image analysis such as segmentation, feature learning, and prediction.

For more information, please visit https://halimnoor.com.

ORCID: 0000-0002-3300-3270
Scopus: 36656106400
Web of Science ResearcherID: J-9700-2013
Scholar: OSxzfFkAAAAJ

Projects

Deep Learning Image Segmentation for Medical Image Analysis, Fundamental Research Grant Scheme, KEMENTERIAN PENGAJIAN TINGGI (FRGS) - Principal Investigator (Oct 2023 - Sep 2026)

Machine Learning Model Development Including Execution for Computer Vision System, Dyson Malaysia - Principal Investigator (May 2023 - Dec 2023)

Use of Artificial Intelligence to Improve Accuracy in Triage System of Emergency Department, USM Research University Grant - Co-Investigator, (May 2021 - Oct 2024)

Image Data Analytics for Industry 4.0, COLLABORATIVE RESEARCH IN ENGINEERING, SCIENCE AND TECHNOLOGY CENTER (CREST) - Co-Investigator (Jan 2020 - Dec 2023)

Enhancing Piecewise Aggregate Approximation for Data Dimensionality Reduction in Wearable Health Devices, KEMENTERIAN PENGAJIAN TINGGI (FRGS) - Principal Investigator (Sep 2019 - May 2022)

Shaping Pro-Environment Behaviours: Awareness Apps, KEMENTERIAN PENGAJIAN TINGGI (LRGS) - Principal Investigator (Mar 2019 - Jun 2023)

Real-time Physical Activity Recognition using Wearable Inertial Sensors, USM (SHORT TERM) - Principal Investigator (Aug 2018 - Nov 2020)

USM's Machine Learning for Academic Governance Group - Member (Oct 2020 - Present)

USM's Data Analytic Group for Analysing the Potential of Institutes and Centers of Excellence - Member (Nov 2020 - Jan 2021)

SELECTED Publications

Please visit https://halimnoor.com/publications/ for a complete list of publications.

Noor M.H.M., Ige A.O. A Survey on Deep Learning and State-of-the-art Applications (2024) arXiv preprint. [read]

Ige A.O., Noor M.H.M. A Deep Local-Temporal Architecture with Attention for Lightweight Human Activity Recognition (2023) Applied Soft Computing. DOI: 10.1016/j.asoc.2023.110954. [read]

Al-Qablan T. A., Noor M. H. M., Al-Betar M. A. and Khader A. T., A Survey on Sentiment Analysis and Its Applications (2023) Neural Computing and Applications, , pp. . DOI: 10.1007/s00521-023-08941-y [read]

Baraka A., Noor M.H.M. Similarity Segmentation Approach for Sensor-based Activity Recognition (2023) IEEE Sensors Journal. DOI: 10.1109/JSEN.2023.3295778 [read]

Ige A. O., Tomar N. K., Aranuwa F. O., Oriola O., Akingbesote A. O., Noor M. H. M., Mazzara M., Aribisala B. ConvSegNet: Automated Polyp Segmentation from Colonoscopy using Context Feature Refinement with Multiple Convolutional Kernel Sizes (2023) IEEE Access, , pp. . DOI: 10.1109/ACCESS.2023.3244789. [read]

Nordin N., Zainol Z., Noor M.H.M. Lai Fong C. An Explainable Predictive Model for Suicide Attempt Risk using An Ensemble Learning and Shapley Additive Explanations (SHAP) Approach (2023) Asian Journal of Psychiatry, 79, pp. 103316. DOI: 10.1016/j.ajp.2022.103316. [read]

Abdu H., Noor M.H.M. A Survey on Waste Detection and Classification using Deep Learning (2022) IEEE Access. DOI: 10.1109/ACCESS.2022.3226682. [read]

Jimale A.O., Noor M.H.M., Fully Connected Generative Adversarial Network For Human Activity Recognition (2022) IEEE Access. DOI: 10.1109/ACCESS.2022.3206952. [read]

Ige A.O., Noor M.H.M. A Survey on Unsupervised Learning for Wearable Sensor-based Activity Recognition (2022) Applied Soft Computing. DOI: 10.1016/j.asoc.2022.109363. [read]

Noor M.H.M., Tan S.Y., Wahab M.N.A. Deep Temporal Conv-LSTM for Activity Recognition (2022) Neural Processing Letter. DOI: 10.1007/s11063-022-10799-5. [read]

Jimale A.O, Noor M.H.M. Subject Variability in Sensor-based Activity Recognition (2021) Journal of Ambient Intelligence and Humanized Computing. DOI: 10.1007/s12652-021-03465-6. [read]

Noor, M.H.M. Feature Learning using Convolutional Denoising Autoencoder for Activity Recognition (2021) Neural Computing and Applications, 33, pp. 10909–10922. DOI: 10.1007/s00521-020-05638-4 [read]

Chan, M.H., Noor, M.H.M. A unified generative model using generative adversarial network for activity recognition (2020) Journal of Ambient Intelligence and Humanized Computing, 12, pp. 8119–8128. DOI: 10.1007/s12652-020-02548-0 [read]

Supervision

Graduated
Ph.D.
Ali Olow Jimale, Enhanced Conditional Generative Adversarial Network for Handling Subject Variability In Human Activity Recognition, Main Supervisor
Ige Ayokunle Olalekan, Deep Local-Temporal Architecture Towards Lightweight Deep Learning Activity Recognition, Main Supervisor
Nor Aizam Muhamed Yusof, Pavement Distress Analysis using Deep Learning, Co-supervisor

MS.c.
Chan Mang Hong, Data Generation using Generative Adversarial Network for Human Activity Recognition, Main Supervisor
Jodene Ooi Yen Ling, Predicting Freezing of Gait in Parkinson's Disease with Autoencoder-based Representation Learning, Main Supervisor
Loh Jing Zhi, MobileNet-SVM: A Hybrid, Light-weight Deep Learning Architecture for Human Activity Recognition, Main Supervisor
Yap Kah Liong, Signal Segmentation using You Only Look Once Network for Human Activity Recognition, Main Supervisor
Lim Chin Tiong, Comparative Study of Deep Learning-based Object Detection Algorithms on Real-time Embedded System, Main Supervisor
Tan Sen Yan, Deep Temporal Conv-LSTM for Human Activity Recognition, Main Supervisor
Xu Ziyue, Data Augmentation using Improved Generative Adversarial Network for Lung Image Classification, Main Supervisor
Jwaber Safa Alaa Hussein, Improved Rotation Pretext with Sorting Operation for Self-Supervised Visual Feature Learning, Main Supervisor
Ammar Nayeef Makki Al-Khafaji, Adaptation of Attention Separable Convolution Residual in the U-Net Architecture for Lung Nodule Segmentation, Main Supervisor
Al-Battat Asaad Qasim Mahdi, Improved ResNet-50 Model with Multiscale Feature Representation for Cancer Classification in Histopathological Image, Main Supervisor

On-going
Ph.D.
Noratikah Nordin, 2018-Present, Co-supervisor
Haruna Abdu, 2019-Present, Main Supervisor
Raid S. A. Basheer, 2019-Present, Main Supervisor
Abdulrahman M A Baraka, 2020-Present, Main Supervisor
Fathi Said Emhemed Shaninah, 2020-Present, Main Supervisor
Hadeel Sameer Mohd Al Tahainah, 2020-Present, Main Supervisor
Al Tabrawee Hussein Allawi Hasan, 2020-Present, Main Supervisor
Sani Tijjani, 2020-Present, Main Supervisor
Tamara Amjad Abdelkarim Alqablan, 2020-Present, Main Supervisor
Al Kadhmawee Ahmed Adil Abdulwahid, 2021-Present, Main Supervisor
Itriq Mariam Abed Alfattah Ali, 2022-Present, Main Supervisor
Loh Swee Kuan, 2023-Present, Main Supervisor
Zhao Haojun, 2023-Present, Main Supervisor
Idlibi Anas, 2023-Present, Main Supervisor
Maqsood Iqra, 2023-Present, Main Supervisor

Master
Liau Wei Jie Brigitte, 2021-Present, Main Supervisor
Hazqeel Afyq Athaillah Kamarul Aryffin, 2022-Present, Main Supervisor

Teaching

(1) CDS503 Machine Learning, (2) CDS501 Principles & Practices of Data Science & Analytics, (3) CPC251 Machine Learning and Computational Intelligence

Recognition

Peer Review
Pervasive and Mobile Computing
Knowledge-based Systems
IEEE Access
Journal of Ambient Intelligence and Humanized Computing
Plos One
Medical and Biological Engineering & Computing
International Journal of Imaging Systems and Technology
Health Informatics Journal

Training & Consultancy
Coordinator & Trainer, Professional Certification in Data Science  - Kulim Advanced Technologies Sdn. Bhd. (2020-current)
Trainer, Data Science Module - Tropical Data Science School with Universidad Politechnica de Madrid, Spain (2021)
Trainer, Workshop on Introduction to Machine Learning by Python - USM (2021)
Trainer, Introduction to Machine Learning in Python - Sophic Automation (2020)
Trainer, TVET Workshop on Embedded System and 3D Printing Design - SIRIM (2020)
Trainer, Introduction to Python - PPKT, Universiti Sains Malaysia (2020)
Trainer, MDEC Intel AI Academy (2019)