Garenth Lim King Hann

Award

• Second Economic Stimulus Package for Postgraduate Study Funding 2009
• The University of Nottingham Malaysia Campus Alumni Scholarship 2007

1. Funder: Ministry of Higher Education
   Title: Generative Learning Neural Model derived from Bayesian Theorem in Partial Point Cloud Reconstruction for 3D Semantic Object Segmentation and Classification
   Amount: RM110,500
   Role: Chief Investigator
   Duration/Status: 2022-2024/On-going
2. Funder: Curtin Malaysia Research Institute Prototype Development Scheme
   Title: Sport E-profiling using AI-3DCAMS (Patent in progress) (CMRI-006034)
   Amount: RM180,000
   Role: Chief Investigator
   Duration/Status: 2021 (6 months)
3. Funder: Curtin Malaysia Research Institute Prototype Development Scheme
   Title: Product Development and Prototyping of a Rapid, Reliable and Cost-Effective System to Detect Authenticity and Geographical Origin of Ground Black Pepper
   Amount: RM200,000
   Role: Co-Investigator
   Duration/Status: 2021 (6 months)
4. Funder: Ministry of Higher Education
   Title: Estimation of Lower Extremity Muscles Activation Patterns during Walking using Wearable Wireless Inertial Sensors
   Amount: RM122,300
   Role: Co-Investigator
   Duration/Status: 2021-2023/On-going
5. Funder: Sarawak Research & Development Council Grant Scheme (Catalyst)
   Title: Development of a Rapid, Reliable and Cost-Effective Product Quality Estimation of Sago (Metroxylon sagu) based on Hyperspectral Images
   Amount: RM171,950
   Role: Co-Investigator
   Duration/Status: 2020-2022/Completed
6. Funder: Ministry of Higher Education
   Title: Improving enzymes selectivity (reaction kinetics and mechanistic pathway) to increase bio-hydrogen yield from xylose
   Amount: RM148,010
   Role: Co-Investigator
   Duration/Status: 2019-2021/Completed
7. Funder: Sarawak Multimedia Authority
   Title: Stereo Vision Computer Aided-Monitoring System (SV-CAMS) For the Field of Rehabilitation
   Amount: RM115,500
   Role: Chief Investigator
   Duration/Status: 2018-2019/Completed
8. Funder: Sarawak Multimedia Authority
   Title: Development of Digital Platform for a Rapid, Cost-effective and User-friendly Detector and Estimator of Adulterants in Ground Sarawak Black Pepper
   Amount: RM100,000
   Role: Co-Investigator
   Duration/Status: 2018-2019/Completed
9. Funder: Ministry of Science, Technology and Innovation (MOSTI)
   Title: Visual-based Computer-Aided Monitoring System (VCAMS) for Human Motion Abnormalities Correction (Project No.: 03-02-07-SF0035)
   Amount: RM115,500
   Role: Chief Investigator
   Duration/Status: 2015-2018/Completed
10. Funder: Ministry of Higher Education
    Title: Non-Linear Optimization Framework for Deep Learning Neural Network (FRGS/FASA1/2015)
    Amount: RM75,000
    Role: Chief Investigator
    Duration/Status: 2015-2018/Completed
11. Funder: Ministry of Science, Technology and Innovation (MOSTI)
    Title: Design and development of a wavelet neural network architecture for wearable systems to predict kinematic gait parameters and identify pathological gait
    Amount: RM137,000
    Role: Co-Investigator
    Duration/Status: 2015-2018/Completed
12. Funder: Ministry of Higher Education
    Title: Formulation of a robust, non-Gaussian algorithm used to develop adaptive soft sensors for sensing various states in industrial processing plants
    Amount: RM82,000
    Role: Co-Investigator
    Duration/Status: 2014-2018/Completed
13. Funder: Ministry of Higher Education
    Title: A New Logical Framework for Numerical Methods in Optimization, Nonlinear Algebraic Equations and Least Squares Problems
    Amount: RM102,400
    Role: Co-Investigator
    Duration/Status: 2014-2017/Completed
14. Funder: Ministry of Finance
    Title: Structural Settlement Sensor (Patented with PI2013001163)
    Amount: RM148,000
    Role: Co-Investigator
    Duration/Status: 2014-2016/Completed
15. Funder: Curtin Sarawak Research Institute
    Title: Computer Vision Algorithm Design, Development and Verification of Vulnerable road user detection for Driver Assistance System
    Amount: RM104,000
    Role: Chief Investigator
    Duration/Status: 2013-2016/Completed
16. Funder: Ministry of Higher Education
    Title: Kinematic/Kinetic Analysis Foot and Ankle Motion using Wireless Inertial Sensors Networks for Real-time Intelligent Gait Abnormalities Identification
    Amount: RM80,000
    Role: C0-Investigator
    Duration/Status: 2012-2014/Completed
17. Funder: Curtin Sarawak Research Fund
    Title: Optimal Features Extraction for Traffic Sign Classification using Lypunov Theory-based Neural Network
    Amount: RM10,000
    Role: Chief Investigator
    Duration/Status: 2012-2013/Completed

PUBLICATION LIST

A. Book Chapters

1. Khant, Min, Darwin Gouwanda, Alpha A. Gopalai, King Hann Lim, and Chee Choong Foong. “Estimation of Lower Extremity Muscle Activity in Gait Using the Wearable Inertial Measurement Units and Neural Network.” Sensors 23, no. 1 (2023): 556.
2. Chiam, Dar Hung, King Hann Lim, and Kah Haw Law. “Global attention-based LSTM for noisy power quality disturbance classification.” International Journal of Systems, Control and Communications 14, no. 1 (2023): 22-39.
3. Chiam, Dar Hung, King Hann Lim, and Kah Haw Law. “LSTM power quality disturbance classification with wavelets and attention mechanism.” Electrical Engineering (2022): 1-8.
4. Leong, Yi Sheng, Sukanta Roy, and King Hann Lim. “Obstructed Material Classification Using mmWave Radar with Deep Neural Network for Industrial Applications.” In Advances in Smart Energy Systems, pp. 147-162. Singapore: Springer Nature Singapore, 2022. [Scopus-indexed]
5. Tay, Chuan Zhi, King Hann Lim, and Jonathan Then Sien Phang. “Markerless gait estimation and tracking for postural assessment.” Multimedia Tools and Applications (2022): 1-18. [Q1 Journal]
6. Mahmud, Saad, and King Hann Lim. “One-step model agnostic meta-learning using two-phase switching optimization strategy.” Neural Computing and Applications (2022): 1-9. [Q1 Journal]
7. PHANG, JONATHAN THEN SIEN, KING HANN LIM, and PO KEN PANG. “Skeletal Joint-based Regressive 3D Human Reconstruction From Partial Point Clouds.” Journal of Information Science and Engineering 38, no. 5 (2022): 963-975. [Q1 Journal]
8. Kee, Kia Wei, King Hann Lim, Chin Hong Lim, Wen Loong Lim, and Huei Ee Yap. “Cracks identification using mask region-based denoised deformable convolutional network.” Multimedia Tools and Applications (2022): 1-18. [Q1 Journal]
9. Sivakumar, Saaveethya, Alpha Agape Gopalai, King Hann Lim, Darwin Gouwanda, and Sunita Chauhan. “Joint angle estimation with wavelet neural networks.” Scientific reports 11, no. 1 (2021): 1-15. [Q1 Journal]
10. Phang, Jonathan Then Sien, King Hann Lim, and Raymond Choo Wee Chiong. “A review of three-dimensional reconstruction techniques.” Multimedia Tools and Applications (2021): 1-13. [Q2 Journal]
11. Lee, M. S., H. G. Harno, B. S. Goh, and K. H. Lim. “On the bang-bang control approach via a component-wise line search strategy for unconstrained optimization.” Numerical Algebra, Control & Optimization 11, no. 1 (2021): 45. [Q3 Journal]
12. Tan, Hong Hui, and King Hann Lim. “Two-Phase Switching Optimization Strategy in Deep Neural Networks.” IEEE Transactions on Neural Networks and Learning Systems (2020). [Q1 Journal]
13. H. H. TAN and K. H. LIM, “Vanishing Gradient Analysis in Stochastic Diagonal Approximate Greatest Descent Optimization,” Journal of Information Science and Engineering, vol. 36, pp. 1007-1019, 2020. [Q2 Journal]
14. M. M. LAU and K. H. LIM, “Convolutional and Fully Connected Layer in DFN,” Journal of Information Science and Engineering, vol. 36, pp. 1069-1078, 2020. [Q2 Journal]
15. Ang, I.J.X., Lim, K.H., “Multistage inferencing approach on large datasets in enhancing STEM education”, ASM Sc. J., Vol. 13, Special Issue 2, ICSCC2019, 2020. [Q3 Journal]
16. Lee, W.Q., Lim, K.H., Lim, C.H., Lim, W.L., Yap, H.E., Automated building crack identification using enhanced mask R-CNN, ASM Sc. J., Vol. 13, Special Issue 2, ICSCC2019, 2020. [Q3 Journal]
17. Sivakumar, Saaveethya, Alpha Agape Gopalai, King Hann Lim, and Darwin Gouwanda. “Artificial neural network-based ankle joint angle estimation using instrumented foot insoles.” Biomedical Signal Processing and Control 54 (2019): 101614. [Q1 Journal]
18. King Hann Lim, Chin Hong Lim, Wen Loong Lim and Huei Ee Yap, “Differential Settlement Monitoring System using Inverse Perspective Mapping”, IEEE Sensors Journal, vol. 18, pp. 2545-2554, 2018. [Q1 Journal]
19. Saaveethya Sivakumar; A. A. Gopalai, King Hann Lim and D. Gouwanda, “Ground Reaction Force Features for Ankle Angle Estimation”, Gait and Posture Journal, Elsevier. (Submitted) [Q2 Journal]
20. B. Chan, K. H. Lim, L. Gopal, and D. Gouwanda, “Stereo Vision Human Motion Detection and Tracking in Uncontrolled Environment,” TELKOMNIKA (Telecommunication Computing Electronics and Control), vol. 16, pp. 955-964, 2018. [Scopus-Indexed]
21. N. N. M. Nistah, K. H. Lim, L. Gopal, and F. B. I. Alnaimi, “Coal-Fired Boiler Fault Prediction Using Artificial Neural Networks,” International Journal of Electrical and Computer Engineering, vol. 8, p. 2486, 2018. [Scopus-Indexed]
22. M. S. Lee, B. S. Goh, H. G. Harno, and K. H. Lim, “On a two-phase approximate greatest descent method for nonlinear optimization with equality constraints,” Numerical Algebra, Control & Optimization, vol. 8, pp. 325-336, 2018. [Q3 Journal]
23. King Hann Lim, K. P. Seng, and L.-M. Ang, “River Flow Lane Detection and Kalman Filtering-Based B-Spline Lane Tracking”, International Journal of Vehicular Technology, Article ID 465819, vol. 2012, pp. 10, 2012. doi:10.1155/2012/465819. [Q3 Journal]
24. King Hann Lim, Kah Phooi Seng, Li-Minn Ang, “MIMO Lyapunov Theory-based RBF Neural Classifier for Traffic Sign Recognition”, Journal of Applied Computational Intelligence and Soft Computing, Article ID 793176, vol. 2012, pp. 7, 2012. doi:10.1155/2012/793176. [Scopus-Indexed]
25. Yee Wan Wong, Sue Inn Ch’ng, Kah Phooi Seng, Li-Minn Ang, Siew Wen Chin, Wei Jen Chew, King Hann Lim, “A New Multi-Purpose Audio-Visual UNMC-VIER Database with Multiple Variabilities”, Pattern Recognition Letters, Vol. 32, no. 13, pp. 1503-1510, 2011. [Q1 Journal]
26. King Hann Lim, Li-Minn Ang, Kah Phooi Seng, Siew Wen Chin, “Lyapunov Theory-based Multilayer Neural Network”, IEEE Transactions on Circuits and Systems II: Express briefs, vol. 56, no. 4, pp. 305 – 309, April 2009. [Q1 Journal]
27. Yeong Lee Seng, Li-Minn Ang, King Hann Lim, Kah Phooi Seng, “Face Detection from Greyscale Images Using Details from Categorized Wavelet Coefficients as Features for a Dynamic Supervised Forward Propagation Network”, International Journal of Pattern Recognition & Artificial Intelligence, vol. 23, no. 1, pp. 3-15, 2009. [Q2 Journal]
28. Kwang Leng Goh, Ashutosh Kumar Singh, King Hann Lim, “Web Spam Detection Application Using Neural Network”, Scholars’ Press, ISBN: 978-3-639-70604-8, 2013.

C. Conference Papers

1. Eu, Christina Nguk Ling, Hendra Gunawan Harno, and King Hann Lim. “Nonlinear Least Squares Problems Using Approximate Greatest Descent Method.” In 2022 International Conference on Computer and Drone Applications (IConDA), pp. 101-106. IEEE, 2022.
2. Phang, Jonathan Then Sien, King Hann Lim, Basil Andy Lease, and Dar Hung Chiam. “Deep Learning Pose Estimation for Kinematics Measurement in Archery.” In 2022 International Conference on Green Energy, Computing and Sustainable Technology (GECOST), pp. 298-302. IEEE, 2022.
3. Lai, Bing Hui, Chun Wan Sia, King Hann Lim, and Jonathan Then Sien Phang. “Deep Learning Neural Networks for 3D Point Clouds Shape Classification: A Survey.” In 2022 International Conference on Green Energy, Computing and Sustainable Technology (GECOST), pp. 394-398. IEEE, 2022.
4. Lim, Si Yong, and King Hann Lim. “Second-order Derivative Optimization Methods in Deep Learning Neural Networks.” In 2022 International Conference on Green Energy, Computing and Sustainable Technology (GECOST), pp. 470-475. IEEE, 2022.
5. Safari, Siti Sabrena B., Saaveethya Sivakumar, King Hann Lim, and Terence Peng Lian Tan. “A Review on Oxygen Consumption and Heart Rate Monitoring Methods & Applications.” In 2022 International Conference on Green Energy, Computing and Sustainable Technology (GECOST), pp. 462-469. IEEE, 2022.
6. Khoo, John Julius Danker, King Hann Lim, and Po Ken Pang. “Deep Learning Super Resolution of Sea Surface Temperature on South China Sea.” In 2022 International Conference on Green Energy, Computing and Sustainable Technology (GECOST), pp. 176-180. IEEE, 2022.
7. Lease, Basil Andy, Jonathan Then Sien Phang, Dar Hung Chiam, and King Hann Lim. “Online Bio-mechanical Evaluation System for Posture Assessment and Correction.” In 2022 International Conference on Green Energy, Computing and Sustainable Technology (GECOST), pp. 243-247. IEEE, 2022.
8. Gan, Yi Fang, King Hann Lim, Po Ken Pang, and Nong Nurnie Mohd Nistah. “Kinematic Analysis and Visualization of 3D Human Pose Estimation on the Web-app.” In 2022 International Conference on Green Energy, Computing and Sustainable Technology (GECOST), pp. 198-202. IEEE, 2022.
9. Chiam, Dar Hung, King Hann Lim, and Kah Haw Law. “Detection of Power Quality Disturbances Using Wavelet-based Convolutional Transformer Network.” In 2022 International Conference on Green Energy, Computing and Sustainable Technology (GECOST), pp. 150-154. IEEE, 2022.
10. Phang, Jonathan Then Sien, King Hann Lim, and Po Ken Pang. “Generative Skeletal Joint-Based Autoencoder for 3D Human Point Clouds Reconstruction.” In 2021 International Conference on Green Energy, Computing and Sustainable Technology (GECOST), pp. 1-6. IEEE, 2021.
11. Sia, Yew Wei, Kah Haw Law, Lenin Gopal, King Hann Lim, and Kiing Ing Wong. “A New Symmetric and Asymmetric Step-Up Switched-Capacitor Integrated Multilevel Inverter with Self-Balanced and Inductive Load Capability.” In 2021 International Conference on Green Energy, Computing and Sustainable Technology (GECOST), pp. 1-5. IEEE, 2021.
12. Khoo, John Julius Danker, King Hann Lim, Nong Nurnie Mohd Nistah, and Thomas Anung Basuki. “Deep Learning Mobile App Based Microscopic Leaf Imaging Disease Classification with Azure Cloud Computing Service.” In 2021 International Conference on Green Energy, Computing and Sustainable Technology (GECOST), pp. 1-6. IEEE, 2021.
13. Chia, Zim Chen, King Hann Lim, and Terence Peng Lian Tan. “Two-phase Switching Optimization Strategy in LSTM Model For Predictive Maintenance.” In 2021 International Conference on Green Energy, Computing and Sustainable Technology (GECOST), pp. 1-6. IEEE, 2021.
14. Chiam, Dar Hung, King Hann Lim, and Kah Haw Law. “Noise Level Evaluation on Power Quality Disturbances Classification.” In 2021 International Conference on Green Energy, Computing and Sustainable Technology (GECOST), pp. 1-6. IEEE, 2021.
15. Sia, Yew Wei, Kah Haw Law, Lenin Gopal, King Hann Lim, and Kiing Ing Wong. “A New 2-Dimension Extendable Multisource Switched Capacitor Boost Multilevel Inverter with Reduced Components.” In 2021 IEEE International Conference in Power Engineering Application (ICPEA), pp. 192-197. IEEE, 2021.
16. Khoo, John Julius Danker, King Hann Lim, and Jonathan Then Sien Phang. “A Review on Deep Learning Super Resolution Techniques.” In 2020 IEEE 8th Conference on Systems, Process and Control (ICSPC), pp. 134-139. IEEE, 2020.
17. Abbasi, Tayaba, King Hann Lim, Toufique Ahmed Soomro, Idris Ismail, and Ahmed Ali. “Condition Based Maintenance of Oil and Gas Equipment: A Review.” In 2020 3rd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET), pp. 1-9. IEEE, 2020.
18. Lai, Cindy Poh Yuan, Kah Haw Law, and King Hann Lim. “Direct Fast Charging of Electric Vehicle Using Solar Power.” In 2019 7th International Conference on Smart Computing & Communications (ICSCC), pp. 1-6. IEEE, 2019.
19. M. M. Lau, J. T. S. Phang, and K. H. Lim, “Convolutional Deep Feedforward Network for Image Classification,” in 2019 7th International Conference on Smart Computing & Communications (ICSCC), 2019, pp. 1-4.
20. I. J. X. Ang and K. H. Lim, “Enhancing STEM Education using Augmented Reality and Machine Learning,” in 2019 7th International Conference on Smart Computing & Communications (ICSCC), 2019, pp. 1-5.
21. Tayaba Abbasi, King Hann Lim, and Idris Bin Ismail, “Optimal Input Selection for Recurrent Neural Network in Predictive Maintenance,” in 2019 IEEE 4th International Conference on Computer and Communication Systems (ICCCS), 2019, pp. 57-61.
22. H. H. Tan and K. H. Lim, “Vanishing Gradient Mitigation with Deep Learning Neural Network Optimization,” in 2019 7th International Conference on Smart Computing & Communications (ICSCC), 2019, pp. 1-4.
23. H. H. Tan and K. H. Lim, “Review of second-order optimization techniques in artificial neural networks backpropagation,” IOP Conference Series: Materials Science and Engineering, vol. 495, p. 012003, 2019/06/07 2019.
24. J. P. T. Sien, K. H. Lim, and P.-I. Au, “Deep Learning in Gait Recognition for Drone Surveillance System,” IOP Conference Series: Materials Science and Engineering, vol. 495, p. 012031, 2019/06/07 2019.
25. P. K. Pang and K. H. Lim, “Review on Automatic Plant Identification Using Computer Vision Approaches,” IOP Conference Series: Materials Science and Engineering, vol. 495, p. 012032, 2019/06/07 2019.
26. D. H. Chiam, K. L. Ng, K. H. Lim, and K. S. Yam, “Wi-Fi Enabled Modular Sensing System For Smart Home Applications,” IOP Conference Series: Materials Science and Engineering, vol. 495, p. 012019, 2019/06/07 2019.
27. T. Abbasi, K. H. Lim, and K. S. Yam, “Predictive Maintenance of Oil and Gas Equipment using Recurrent Neural Network,” IOP Conference Series: Materials Science and Engineering, vol. 495, p. 012067, 2019/06/07 2019.
28. J. T. S. Phang and K. H. Lim, “Real-Time Multi-Camera Multi-Person Action Recognition using Pose Estimation,” presented at the Proceedings of the 3rd International Conference on Machine Learning and Soft Computing, Da Lat, Viet Nam, 2019
29. S. Sivakumar, A. A. Gopalai, D. Gouwanda, and K. H. Lim, “Estimation Of Joint Angle From Ground Reaction Force In Human Gait,” in 2018 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES), 2018, pp. 623-628.
30. M. M. Lau and K. H. Lim, “Review of Adaptive Activation Function in Deep Neural Network,” in 2018 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES), 2018, pp. 686-690.
31. H. H. Tan and K. H. Lim, “Minibatch Approximate Greatest Descent on CIFAR-10 Dataset,” in 2018 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES), 2018, pp. 320-323.
32. T. Abbasi, K. H. Lim, N. S. Rosli, I. Ismail, and R. Ibrahim, “Development of Predictive Maintenance Interface Using Multiple Linear Regression,” in 2018 International Conference on Intelligent and Advanced System (ICIAS), 2018, pp. 1-5.