Dr. Joon Huang Chuah

Professor
Southern University College

Highest Degree
Ph.D. in Engineering and Information Technology from University of Cambridge, UK

My URL
https://livedna.org/60.34779

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Biography

Chuah Joon Huang ( 蔡润煌 ) is the President and CEO of Southern University College. He obtained the B.Eng. (First Class Honours) degree from the Universiti Teknologi Malaysia (UTM), M.Eng. degree from the National University of Singapore (NUS), and the M.Phil. degree and the Ph.D. degree from the University of Cambridge.

Area of Interest:

Engineering
Artificial Intelligence
Computer Vision
Image Processing
VLSI Design

Selected Publications

  1. Wong, S.Y., J.H. Chuah, H.J. Yap and C.F. Tan, 2023. Dissociation artificial neural network for tool wear estimation in CNC milling. Int. J. Adv. Manuf. Technol., 125: 887-901.
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  2. Shoaib, M.A., J.H. Chuah, R. Ali, S. Dhanalakshmi, Y.C. Hum, A. Khalil and K.W. Lai, 2023. Fully automatic left ventricle segmentation using bilateral lightweight deep neural network. Life, Vol. 13. 10.3390/life13010124.
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  3. Shoaib, M.A., J.H. Chuah, R. Ali, K. Hasikin and A. Khalil et al., 2023. An overview of deep learning methods for left ventricle segmentation. Comput. Intell. Neurosci., Vol. 2023. 10.1155/2023/4208231.
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  4. Han, Y., B. Wang, T. Guan, D. Tian and G. Yang et al., 2023. Research on road environmental sense method of intelligent vehicle based on tracking check. IEEE Trans. Intell. Transp. Syst., 24: 1261-1275.
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  5. Tan, Y.H., L.S. Chow, J.H. Chuah and K.W.Lai, 2022. Diagnosis of optic neuritis using magnetic resonance images. Multimed. Tools Appl., 81: 41979-41993.
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  6. Ma, S.C., M. Alkhaleefah, Y.L. Chang, J.H. Chuah and W.Y. Chang et al., 2022. Inter-multilevel super-orthogonal space-time coding scheme for reliable zigbee-based IoMT communications. Sensors, Vol. 22. 10.3390/s22072695.
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  7. Koay, H.V., J.H. Chuah, C.O. Chow and Y.L. Chang, 2022. Detecting and recognizing driver distraction through various data modality using machine learning: A review, recent advances, simplified framework and open challenges (2014-2021). Eng. Appl. Artif. Intell., Vol. 115. 10.1016/j.engappai.2022.105309.
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  8. Jamaludin, M.R., K.W. Lai, J.H. Chuah, M.A. Zaki, K. Hasikin et al., 2022. Machine learning application of transcranial motor-evoked potential to predict positive functional outcomes of patients. Comput. Intell. Neurosci. Vol. 2022. 10.1155/2022/2801663.
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  9. Ching, S.L.W., K.W. Lai, J.H. Chuah, K. Hasikin and A. Khalil et al., 2022. Multiclass convolution neural network for classification of COVID-19 CT images. Comput. Intell. Neurosci., Vol. 2022. 10.1155/2022/9167707.
    CrossRef  |  Direct Link  |  

  10. Chin, S.C., C.O. Chow, J. Kanesan and J.H. Chuah, 2022. A study on distortion estimation based on image gradients. Sensors, Vol. 22. 10.3390/s22020639.
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  11. Chang, Y.L., T.H. Tan, T.H. Chen, J.H. Chuah and L. Chang et al., 2022. Spatial-temporal neural network for rice field classification from SAR images. Remote Sens., Vol. 14. 10.3390/rs14081929.
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  12. Ali, R., J.H. Chuah, M.S.A. Talip, N. Mokhtar and M.A. Shoaib, 2022. Crack segmentation network using additive attention gate-CSN-II. Eng. Appl. Artif. Intell., Vol. 114. 10.1016/j.engappai.2022.105130.
    CrossRef  |  Direct Link  |  

  13. Abdellatif, A., H. Abdellatef, J. Kanesan, C.O. Chow, J.H. Chuah and H.M. Gheni, 2022. Improving the heart disease detection and patients' survival using supervised infinite feature selection and improved weighted random forest. IEEE Access, 10: 67363-67372.
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  14. Abdellatif, A., H. Abdellatef, J. Kanesan, C.O. Chow, J.H. Chuah and H.M. Gheni, 2022. An effective heart disease detection and severity level classification model using machine learning and hyperparameter optimization methods. IEEE Access, 10: 79974-79985.
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  15. Tanveer, M., H.K. Tan, H.F. Ng, M.K. Leung and J.H. Chuah, 2021. Regularization of deep neural network with batch contrastive loss. IEEE Access, 9: 124409-124418.
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  16. Koay, H.V., J.H. Chuah, C.O. Chow, Y.L. Chang and K.K. Yong, 2021. YOLO-RTUAV: Towards real-time vehicle detection through aerial images with low-cost edge devices. Remote Sens., Vol. 13. 10.3390/rs13214196.
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  17. Koay, H.V., J.H. Chuah, C.O. Chow, Y.L. Chang and B. Rudrusamy, 2021. Optimally-weighted image-pose approach (OWIPA) for distracted driver detection and classification. Sensors, Vol. 21. 10.3390/s21144837.
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  18. Chen, C., J.H. Chuah, R. Ali and Y. Wang, 2021. Retinal vessel segmentation using deep learning: A review. IEEE Access, 9: 111985-112004.
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  19. Soon, F.C., H.Y. Khaw, J.H. Chuah and J. Kanesan, 2020. Semisupervised PCA convolutional network for vehicle type classification. IEEE Trans. Vehicular Technol., 69: 8267-8277.
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  20. Shazia, A., K.W. Lai, J.H. Chuah, M.A. Shoaib and H. Mohafez et al., 2020. An overview of deep learning approaches in chest radiograph. IEEE Access, 10.1109/access.2020.3028390.
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  21. Yek, P.N.Y., R.K. Liew, M.S. Osman, C.L. Lee, J.H. Chuah, Y.K. Park and S.S. Lam, 2019. Microwave steam activation, an innovative pyrolysis approach to convert waste palm shell into highly microporous activated carbon. J. Environ. Manage., 236: 245-253.
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  22. Tan, J.H., C.S. Chan and J.H. Chuah, 2019. Comic: toward a compact image captioning model with attention. IEEE Trans. Multimedia, 21: 2686-2696.
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  23. Soon, F.C., H.Y. Khaw, J.H. Chuah and J. Kanesan, 2019. Vehicle logo recognition using whitening transformation and deep learning. Signal Image Video Process., 13: 111-119.
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  24. Soon, F.C., H.Y. Khaw, J.H. Chuah and J. Kanesan, 2019. Pcanet-based convolutional neural network architecture for a vehicle model recognition system. IEEE Trans. Intell. Transp. Syst., 20: 749-759.
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  25. Khaw, H.Y., F.C. Soon, J.H. Chuah and C.O. Chow, 2019. High-density impulse noise detection and removal using deep convolutional neural network with particle swarm optimisation. IET Image Process., 13: 365-374.
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  26. Zain, M.Z.B.M., J. Kanesan, J.H. Chuah, S. Dhanapal and G. Kendall, 2018. A multi-objective particle swarm optimization algorithm based on dynamic boundary search for constrained optimization. Appl. Soft Comput., 70: 680-700.
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  27. Zain, M.Z.B.M., J. Kanesan, G. Kendall and J.H. Chuah, 2018. Optimization of fed-batch fermentation processes using the backtracking search algorithm. Expert Syst. Appl., 91: 286-297.
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  28. Soon, F.C., H.Y. Khaw, J.H. Chuah and J. Kanesan, 2018. Hyper-parameters optimisation of deep CNN architecture for vehicle logo recognition. IET Intell. Transp. Syst., 12: 939-946.
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  29. Nasrinahar, A. and J.H. Chuah, 2018. Intelligent motion planning of a mobile robot with dynamic obstacle avoidance. J. Veh. Routing Algorithms, 1: 89-104.
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  30. Moghaddam, A.K., J.H. Chuah, H. Ramiah, J. Ahmadian, P.I. Mak and R.P. Martins, 2017. A 73.9%-efficiency CMOS rectifier using a lower DC feeding (LDCF) self-body-biasing technique for far-field RF energy-harvesting systems. IEEE Trans. Circuits Syst. I: Regul. Pap., 64: 992-1002.
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  31. Khaw, H.Y., F.C. Soon, J.H. Chuah and C.O. Chow, 2017. Image noise types recognition using convolutional neural network with principal components analysis. IET Image Process, 11: 1238-1245.
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  32. Huan, T.T., A.J. Kulkarni, J. Kanesan, C.J. Huang and A. Abraham, 2017. Ideology algorithm: A socio-inspired optimization methodology. Neural Comput. Appl., 28: 845-876.
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  33. Wong, K.Y., J.H. Chuah and C. Hope, 2016. Carbon taxation in Malaysia: Insights from the enhanced PAGE09 integrated assessment model. Carbon Manage., 7: 301-312.
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  34. Wong, K.Y., J.H. Chuah and C. Hope, 2015. The impact of time horizon on integrated climate assessment models. Clean Technol. Environ. Policy, 17: 2361-2374.
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  35. Chuah, J.H. and D. Holburn, 2015. Design of low-noise high-gain cmos transimpedance amplifier for intelligent sensing of secondary electrons. IEEE Sens. J., 15: 5997-6004.
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Member since October, 2020