Mohd Halim Mohd Noor, Dr.

  • Halim 


  • 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



  • Research Interest

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

    Specialization

    Machine Learning and Deep Learning


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 such as video and signal segmentation, feature learning, and classification.

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

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.

Publications

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, , Article in Press. 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, Pavement Distress Analysis using Deep Learning, 2017-2021, Co-supervisor
Noratikah Nordin, Prediction by Machine Learning of Suicide Attempts among Adolescents in Malaysia, 2018-Present, Co-supervisor
Haruna Abdu, Wearable Sensor-based Activity Recognition, 2019-Present, Co-supervisor
Raid S. A. Basheer, Multiscale Brain Modeling and Analysis, 2019-Present, Main Supervisor
Ali Olow Jimale, Deep Learning Approach for Activity Recognition, 2020-Present, Main Supervisor
Bello Ibrahim Kangiwa, Engaging the At-risk Online Learners Using Learning Analytic, 2020-Present, Main Supervisor
Abdulrahman M A Baraka, Weakly-Supervised Temporal Action Localization, 2020-Present, Main Supervisor
Fathi Said Emhemed Shaninah, Defining the Best Personalized Learning Method using Machine Learning, 2020-Present, Main Supervisor
Ige Ayokunle Olalekan, Activity Recognition using Hybrid Unsupervised Deep Learning, 2020-Present, Main Supervisor
Hadeel Sameer Mohd Al Tahainah, Developing and Analyzing Artificial Intelligence-Based Algorithms for Obtaining Super Resolution Satellite Images, 2020-Present, Main Supervisor
Al Tabrawee Hussein Allawi Hasan, Medical Assistant System Based On Machine Learning Using Heterogynous Medical Data Sources, 2020-Present, Main Supervisor
Sani Tijjani, Semi-supervised Approach for Human Activity Recognition, 2020-Present, Main Supervisor
Tamara Amjad Abdelkarim Alqablan, A Hybrid Model of Hopfield Neural Network and Ant Colony Optimization Algorithm For Effective Network Intrusion Detection System, 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

Teaching

CDS503 Machine Learning
CDS501 Principles & Practices of Data Science & Analytics
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