Dr. Joon Huang Chuah
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Dr. Joon Huang Chuah

Senior Lecturer
Department of Engineering, University of Malaya, Kuala Lumpur, Wilayah Persekutuan, Malaysia


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

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Biography

Ir. Dr. David Chuah Joon Huang received the B.Eng. (First Class Honours) degree from the Universiti Teknologi Malaysia (UTM), M.Eng. degree from the National University of Singapore (NUS), the M.Phil. degree in Technology Policy, a professional practice programme initiated by the Cambridge MIT Institute (CMI) delivered at Cambridge Judge Business School (CJBS), and the Ph.D. degree from the University of Cambridge, where he is a Life Member of Wolfson College and Gonville and Caius College. He was honoured for being a Kuok Foundation Scholar and a Commonwealth Scholar. By virtue of his outstanding academic achievements, he was admitted as a Life Member of Golden Key International Honour Society, apart from being a Life Member of Oxford and Cambridge Society Malaysia. On his professional career path, he joined Intel as an IC Design Engineer, contributing to the creation of next generation of network processors. He was then with Freescale Semiconductor (formerly Motorola, SPS) as a Senior Product Development Engineer and Senior Test Engineer, overseeing the product development and project execution of high-performance automotive microcontrollers. Carrying out extensive engineering works globally, he lived in and travelled frequently to various locations such as San Jose at Silicon Valley, California, Austin, Texas, Suzhou, China, Hong Kong, etc. While working in the multi-national companies, he was a recipient of multiple Silicon Engineering Excellence Recognitions and Technical Excellence Award. At present, he is a Senior Lecturer with the Department of Electrical Engineering, Faculty of Engineering, University of Malaya. He assumes the positions of Head of Programme for M.Eng. (Mechatronics) and Head of VLSI and Image Processing (VIP) Research Group. He is a Chartered Engineer registered under the Engineering Council, U.K., and also a Professional Engineer with Practising Certificate (PEPC) registered under the Board of Engineers, Malaysia. He serves in a number of editorial boards, i.e. Journal of Nanoelectronics and Optoelectronics, ASEAN Engineering Journal, IEM Journal, etc. He was invited as a Plenary Speaker for the inaugural IEEE International Microwave, Electron Devices, Solid-state Circuit Symposium (IMESS) in 2016 and a Keynote Speaker for Engineering, Science & Technology International Conference 2018 (ESTIC2018). He was the Special Session Co-Chair for Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) in 2017. In recognition of his vast engineering knowledge and skills, he has been appointed as Scientific Advisor and Technical Consultant to several companies, e.g. Genome Solutions, Iconix Consulting, TrafficSens, etc. He has been elected as a Committee Member as well as Communications Officer for IEEE Computational Intelligence Society (CIS) Malaysia Chapter. In addition, he is currently the Honorary Treasurer of the Institution of Engineering and Technology (IET) Malaysia Local Network, a Council Member (ICT and Multimedia) of the Institution of Engineers Malaysia (IEM) and also a Committee Member of the Board of Engineers Malaysia (BEM).

Area of Interest:

Engineering
100%
Artificial Intelligence
62%
Computer Vision
90%
Image Processing
75%
VLSI Design
55%

Research Publications in Numbers

Books
0
Chapters
7
Articles
40
Abstracts
1

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.
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  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.
    CrossRef  |  Direct Link  |  
  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.
    CrossRef  |  Direct Link  |  
  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.
    CrossRef  |  Direct Link  |  
  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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