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, IIUM, Malaysia.
MSc, USM, Malaysia.
PhD, University of Auckland, New Zealand.

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

Projects

Image Data Analytics for Industry 4.0, COLLABORATIVE RESEARCH IN ENGINEERING, SCIENCE AND TECHNOLOGY CENTER (CREST), RM206,500 - Co-Investigator

Enhancing Piecewise Aggregate Approximation for Data Dimensionality Reduction in Wearable Health Devices, KEMENTERIAN PENGAJIAN TINGGI (FRGS), RM74,700.00 - Principal Investigator.

Shaping Pro-Environment Behaviours: Awareness Apps, KEMENTERIAN PENGAJIAN TINGGI (LRGS), RM186,400 - Principal Investigator.

Real-time Physical Activity Recognition using Wearable Inertial Sensors, USM (SHORT TERM), RM39,488.40 - Principal Investigator.

USM's AI for Academic Governance Group - Member (ongoing)

USM's Data Analytic Group - Member (completed)

Publications

2023

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]

2022

Ige A.O., Noor M.H.M. A Lightweight Deep Learning with Feature Weighting for Activity Recognition (2022) Computational Intelligence. DOI: 10.1111/coin.12565. [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]

Abdu H., Noor M.H.M., Domestic Trash Classification with Transfer Learning Using VGG16 (2022) IEEE 12th International Conference on Control System, Computing and Engineering (ICCSCE2022). DOI: 10.1109/ICCSCE54767.2022.9935653.

Ige A.O., Noor M.H.M. Unsupervised Feature Learning in Activity Recognition using Convolutional Denoising Autoencoders with Squeeze and Excitation Networks (2022) 2022 5th International Conference on Information and Communications Technology (ICOIACT). DOI: 10.1109/ICOIACT55506.2022.9972095.

Nordin N., Zainol Z., Noor M.H.M., Lai Fong C. Explainable Machine Learning Models for Suicidal Behavior Prediction (2022) 6th International Conference on Medical and Health Informatics (ICMHI2022). DOI: 10.1145/3545729.3545754.

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]

Nordin N., Zainol Z., Noor M.H.M., Lai Fong C. Suicidal Behaviour Prediction Models using Machine Learning Techniques: A Systematic Review (2022) Artificial Intelligence in Medicine. DOI: 10.1016/j.artmed.2022.102395. [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]

Baraka A., Noor M.H.M. Weakly-supervised Temporal Action Localization: A Survey (2022) Neural Computing and Applications. DOI: 10.1007/s00521-022-07102-x. [read]

2021

Wahab M.N.A., Ren A.T.Z., Nazir A., Noor M.H.M, Akbar M.F., Mohamed A.S.A. EfficientNet-Lite and Hybrid CNN-KNN Implementation for Facial Expression Recognition on Raspberry Pi (2021) IEEE Access, , pp. . DOI: 10.1109/ACCESS.2021.3113337. [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, Nazir A., Wahab M.N.A, Ooi J.Y.L. Detection of Freezing of Gait using Unsupervised Convolutional Denoising Autoencoder (2021) IEEE Access, 9, pp. 115700-115709. DOI: 10.1109/ACCESS.2021.3104975. [read]

Aminu M., Ahmad N.A., Noor M.H.M. Covid-19 Detection via Deep Neural Network and Occlusion Sensitivity Maps (2021) Alexandria Engineering Journal, 60, pp. 4829-4855. DOI: 10.1016/j.aej.2021.03.052. [read]

Nordin N., Zainol Z., Noor M.H.M., Lai Fong C. A comparative study of machine learning techniques for suicide attempts predictive model (2021) Health Informatics Journal, 27(1), pp. 1-16. DOI: 10.1177/1460458221989395 [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]

Abdu H., Noor, M.H.M. An Efficient Multi-sensor Positions Human Activity Recognition: Elderly Peoples in Rural Areas in Focus, International Conference on Emerging Applications and Technologies for Industry 4.0 (EATI’2020), 2020, Lecture Notes in Networks and Systems, vol 254. DOI: 10.1007/978-3-030-80216-5_15

2020

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]

2019

Noor, M.H.M., Ahmadon, M.A., Osman, M.K. Activity recognition using deep denoising autoencoder (2020) Proceedings - 9th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2019, , pp. 188-192. DOI: 10.1109/ICCSCE47578.2019.9068571

Yusof, N.A.M., Osman, M.K., Hussain, Z., Noor, M.H.M., Ibrahim, A., Tahir, N.M., Abidin, N.Z. Automated Asphalt Pavement Crack Detection and Classification using Deep Convolution Neural Network (2020) Proceedings - 9th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2019, , pp. 215-220. DOI: 10.1109/ICCSCE47578.2019.9068551

Yusof, N.A.M., Ibrahim, A., Noor, M.H.M., Tahir, N.M., Yusof, N.M., Abidin, N.Z., Osman, M.K. Deep Convolution Neural Network for Crack Detection on Asphalt Pavement (2019) Journal of Physics: Conference Series, Vol. 1349. No. 1. IOP Publishing. DOI: 10.1088/1742-6596/1349/1/012020

2018

Yusof, N.A.M., Osman, M.K., Noor, M.H.M., Ibrahim, A., Tahir, N.M., Yusof, N.M. Crack detection and classification in asphalt pavement images using deep convolution neural network (2019) Proceedings - 8th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2018, , pp. 227-232. DOI: 10.1109/ICCSCE.2018.8685007

Noor, M.H.M., Salcic, Z., Wang, K.I.-K. Ontology-based sensor fusion activity recognition (2018) Journal of Ambient Intelligence and Humanized Computing, 11(8), pp. 3073-3087. DOI: 10.1007/s12652-017-0668-0

2017

Noor, M.H.M., Salcic, Z., Wang, K.I.-K. Adaptive sliding window segmentation for physical activity recognition using a single tri-axial accelerometer (2017) Pervasive and Mobile Computing, 38, pp. 41-59. DOI: 10.1016/j.pmcj.2016.09.009

2016

Noor, M.H.M., Salcic, Z., Wang, K.I.-K. Enhancing ontological reasoning with uncertainty handling for activity recognition (2016) Knowledge-Based Systems, 114, pp. 47-60. DOI: 10.1016/j.knosys.2016.09.028

2015

Noor, M.H.M., Salcic, Z., Wang, K.I.-K. Dynamic sliding window method for physical activity recognition using a single tri-axial accelerometer (2015) Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015, , pp. 102-107. DOI: 10.1109/ICIEA.2015.7334092

2014

Boudville, R., Hussain, Z., Yahaya, S.Z., Noor, M.H.M. New FES-assisted knee swinging ergometer for stroke patient: A design and simulation study (2014) Elektronika ir Elektrotechnika, 20 (1), pp. 63-66. DOI: 10.5755/j01.eee.20.1.6168

2013

Ahmad, F., Isa, N.A.M., Noor, M.H.M., Hussain, Z. Intelligent breast cancer diagnosis using hybrid GA-ANN (2013) Proceedings - 5th International Conference on Computational Intelligence, Communication Systems, and Networks, CICSyN 2013, , pp. 9-12. DOI: 10.1109/CICSYN.2013.67

Ahmad, A.R., Hussain, Z., Ahmad, F., Noor, M.H.M., Yahaya, S.Z. Gel electrophoresis image segmentation with kapur method based on particle swarm optimization (2013) Proceedings - 5th International Conference on Computational Intelligence, Communication Systems, and Networks, CICSyN 2013, , pp. 393-396. DOI: 10.1109/CICSYN.2013.60

2012

Abdullah, M.F., Madzhi, N.K., Khuan, L.Y., Mohd Noor, M.H., Ahmad, K.A., Ahmad, A., Zulkeply, N. A miniaturization using Surface Mount Technology of potentiometric indicator system for measuring human stress (2012) ISIEA 2012 - 2012 IEEE Symposium on Industrial Electronics and Applications, , pp. 67-71. DOI: 10.1109/ISIEA.2012.6496673

2011

Osman, M.K., Noor, M.H.M., Mashor, M.Y., Jaafar, H. Compact single hidden layer feedforward network for mycobacterium tuberculosis detection (2011) Proceedings - 2011 IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2011, , pp. 432-436. DOI: 10.1109/ICCSCE.2011.6190565

Ahmad, K.A., Noor, M.H.M., Hussain, Z., Idin, M.A.M., Abdullah, N. Improvement moving vehicle detection using RGB removal shadow segmentation (2011) Proceedings - 2011 IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2011, , pp. 22-26. DOI: 10.1109/ICCSCE.2011.6190489

Mohd Noor, M.H., Ahmad, A.R., Hussain, Z., Ahmad, K.A., Ainihayati, A.R. Multilevel thresholding of gel electrophoresis images using firefly algorithm (2011) Proceedings - 2011 IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2011, , pp. 18-21. DOI: 10.1109/ICCSCE.2011.6190488

Hussain, Z., Yahaya, S.Z., Boudville, R., Ahmad, K.A., Noor, M.H.M. Self adaptive neuro-fuzzy control of FES-assisted paraplegics indoor rowing exercise (2011) Proceedings - 2011 IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2011, , pp. 7-11. DOI: 10.1109/ICCSCE.2011.6190486

Hussain, Z., Mohd Noor, M.H., Ahmad, K.A., Ahmad, F. Evaluation of spreading factor inertial weight PSO for FLC of FES-assisted paraplegic indoor rowing exercise (2011) Proceedings - 2011 IEEE 7th International Colloquium on Signal Processing and Its Applications, CSPA 2011, , pp. 430-434. DOI: 10.1109/CSPA.2011.5759916

Mohd Noor, M.H., Hussain, Z., Ahmad, K.A., Ainihayati, A.R. Gel electrophoresis image segmentation with Otsu method based on particle swarm optimization (2011) Proceedings - 2011 IEEE 7th International Colloquium on Signal Processing and Its Applications, CSPA 2011, , pp. 426-429. DOI: 10.1109/CSPA.2011.5759915

Ahmad, K.A., Saad, Z., Abdullah, N., Hussain, Z., Mohd Noor, M.H. Moving vehicle segmentation in a dynamic background using self-adaptive Kalman background method (2011) Proceedings - 2011 IEEE 7th International Colloquium on Signal Processing and Its Applications, CSPA 2011, , pp. 439-442. DOI: 10.1109/CSPA.2011.5759918

Supervision

Ph.D.
Nor Aizam Muhamed Yusof, 2017-2021, Co-supervisor
Noratikah Nordin, 2018-Present, Co-supervisor
Haruna Abdu, 2019-Present, Main Supervisor
Raid S. A. Basheer, 2019-Present, Main Supervisor
Ali Olow Jimale, 2020-Present, Main Supervisor
Abdulrahman M A Baraka, 2020-Present, Main Supervisor
Fathi Said Emhemed Shaninah, 2020-Present, Main Supervisor
Ige Ayokunle Olalekan, 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

Master
Chan Mang Hong, Data Generation using Generative Adversarial Network for Human Activity Recognition, 2019, Main Supervisor
Jodene Ooi Yen Ling, Predicting Freezing of Gait in Parkinson's Disease with Autoencoder-based Representation Learning, 2019, Main Supervisor
Loh Jing Zhi, MobileNet-SVM: A Hybrid, Light-weight Deep Learning Architecture for Human Activity Recognition, 2019, Main Supervisor
Yap Kah Liong, Signal Segmentation using You Only Look Once Network for Human Activity Recognition, 2019, Main Supervisor
Lim Chin Tiong, Comparative Study of Deep Learning-based Object Detection Algorithms on Real-time Embedded System, 2019, Main Supervisor
Tan Sen Yan, Deep Temporal Conv-LSTM for Human Activity Recognition, 2020, Main Supervisor
Liau Wei Jie Brigitte, Semiconductor OCR Using Deep Learning, 2021-Present, Main Supervisor
Hazqeel Afyq Athaillah Kamarul Aryffin, The use of Artificial Intelligence to Improve Accuracy in Triage System of Emergency Department, 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)