Dr Lee Gin Chong Email: [email protected] Dr. Lee Gin Chong joined UOW Malaysia, as senior lecturer since October of 2022. He is responsible to contribute in developing new subjects and improving content for Artificial Intelligence and Applications, Microcontrollers and Microprocessors, C Programming, Python Programming, Digital Electronics, Embedded Systems, Robotics. He also supervises undergraduate final year projects in the areas of AI-enabled Systems and Microcontroller-based Systems Dr. Lee is an experienced academician with more than 15 years research and teaching experience in engineering higher education industry since 2006. He continually exhibits and achieves excellent teaching, cultivating students’ research interest and encouraging many students to excel in their academic. He also actively involves in Artificial Intelligence (Deep Learning, Neural Networks) and Human-Computer Interface Research Activities. In the previous higher education institute, he was chairman of alumni committee, academic quality control and he was also project leader and project member for several research grants. Dr. Lee graduated with a Bachelor (Hons) Electronics Engineering majoring in Computer (with CGPA 3.92) from Multimedia University in 2006. He earned his Master of Engineering Science in Robotics from the same university in 2012. In 2022, he received his doctorate (Doctor of Philosophy) in Artificial Intelligence from Universiti Malaya. Research & Publications Year Title 2022 Peer-reviewed Journal Article Lee, G.C. and Loo, C.K. (2022). On the Post Hoc Explainability of Optimized Self-Organizing Reservoir Network for Action Recognition. Sensors 2022, 22, 1905. (WoS, Q1) Lee, G. C., Loo, C. K. & Liew, W. S. (2022). Self-Organizing Reservoir Network for Action Recognition. Malaysian Journal of Computer Science. (Accepted). (Scopus, Q3 and WoS, Q4) 2021 Bong, Y. S. and Lee, G. C. (2021). A Contactless Visitor Access Monitoring System. International Journal on Robotics, Automation and Sciences, Vol. 3, 33 – 41 (MyJurnal) 2020 Proceedings (Conference) Lee G. C., Loo C. K., Liew W. S. and S. Wermter (2020). Self-Organizing Kernel-based Convolutional Echo State Network for Human Actions Recognition. In proceeding of The 28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Bruges, Belgium, 2 – 4 October. 2018 Proceedings (Conference) Lee G. C., Loo C. K. and N. Masuyama (2018) Parameters Estimation in Topological Kernel Bayesian ART using Multi-objective Particle Swarm Optimization. 2018 IEEE Symposium Series on Computational Intelligence (SSCI), Bangalore, India, 2018, pp. 1595-1601, doi: 10.1109/SSCI.2018.8628623. 2013 Peer-reviewed Journal Article Wong, W. K., Lee, G. C., Loo, C. K., and Raymond, L. (2013). Quaternion Based Fuzzy Neural Network Classifier for MPIK Dataset’s View-invariant Color Face Image Recognition. Informatica, 37(2) 181-192. (Scopus and WoS, Q3) 2012 Peer-reviewed Journal Article Lee, G. C., Loo, C. K., and Chockalingam, L. (2012). An Integrated Approach for Head Gesture Based Interface. Applied Soft Computing Journal, 12(3), 1101-1114. (Scopus, Q1) Book Chapter W.K.Wong, G.C.Lee, C.K.Loo,W. S.Lim & R. Lock (2012). Chapter 10: Quaternionic Fuzzy Neural Network for View-Invariant Color Face Image Recognition, Complex Valued Neural Networks: Advances and Applications, Robert, M. Gloves John Wiley and Sons. 2011 Peer-reviewed Journal Article Loo, C. K., Samraj, A. and Lee, G. C. (2011). Evaluation of methods for estimating fractal dimension in motor imagery-based brain computer interface. Discrete Dynamics in Nature and Society 2011, 8. (Scopus and WoS, Q3) 2010 Proceedings (Conference) Lee, G. C. and Loo, C. K. (2010). Facial Pose Estimation using Modified Synergetic Computer. Second World Congress on Nature and Biologically Inspired Computing (NaBIC), 322 – 327. 2009 Proceedings (Conference) Lee, G. C., Loo, C. K., and Chockalingam, L. (2009). Two-Factor Face Authentication: Topographic Independent Component Analysis (TICA) and Multispace Random Projection (MRP). International Conference of Soft Computing and Pattern Recognition (SoCPaR), 756-761. Research Grant / Consultancy Project April 2021 – March 2022 Amount: RM 7,779 Title: MMU IR Fund for “Vehicle Detection on Aerial Images using Convolutional Neural Network”. (Project Leader) April 2021 – March 2022 Amount: RM 7,928 Title: MMU IR Fund for “Predictive Model-based Food Optimization for Restaurant using Machine Learning”. (Project Member) Workshop Instructor and content developer, IoT Smart System Using Arduino in Penang Digital Literacy Camp 2.0, TechDome Penang, 2022 Instructor and content developer, workshop, MMU, “Introduction of Microcontroller”, 2015. Instructor and content developer, workshop for Robotics Club, MMU, “Microcontroller for Beginner Workshop”, 2010. Instructor and content developer, training for Zeta Automation, Sudan, “Pneumatic and Hydraulic Systems”, 2009. Industrial Project Content developer of Training Kit for undergraduate programme, Acehub Vista Sdn. Bhd. Content and Lab Experiment Review of courseware for undergraduate programme, Acehub Vista Sdn. Bhd. Digital Content Development and Editing for University Courseware and Training Kit, Acehub Vista Sdn. Bhd. Electronics board Assembly and PCB soldering, PPK Technology Sdn. Bhd. Content developer of Training Kit for Pneumatic and Hydraulic Systems, Vepro Group Sdn. Bhd. Awards and Recognitions Supervision and Couching in Competitions Supervisor of MMU Robocon team in participating national level robot contest event – Robocon Malaysia competition themed “Satu Langkah, Seribu Lonjakan”, and bagged consolation prize on 5-7 April 2019. Supervisor of the project titled “Brain Computer Interface Control of Electrical-Powered Wheelchair” and managed to bagged 3rd place in Innovate Malaysia Design Competition 2011, Intel Track on 10 June 2011. Professional Membership BEM Graduate Engineer, since 2011 MBOT Graduate Technologist, since 2022 Huawei Certified ICT Associate– Artificial Intelligence (HCIA-AI), 2020 – 2023