This is a hands-on course to build an “Treasure Guard” prototype solution with Internet of Things (IoT) technology. The IoT is the network of physical objects, devices, vehicles, buildings and other items, embedded with electronics, software, sensors, and network connectivity, which enables these objects to collect and exchange data.
With increasing focus on data analytics, various industries need to capture data from sources of their business environment. This is where IoT can play a major role in real time data collections and hence providing relevant data analysis to companies for better decision-making. In this programme, we build a virtual guard with automatic sensing capability, to detect intruders and perform actions to protect the “treasure”
Dr Tew Yiqi received the B.Eng. (Hons.) electronics degree in computers, master’s degree in computer science and PhD degree in 2008, 2011 and 2016 respectively. He has more than 12 years experience as system and firmware developer in image processing (satellite geographical data) and Internet of Things industry (wireless protocol and control design). He worked as a system development engineer in 2008 to develop a satellite image receiving system with graphical display user interface and as a senior firmware developer engineer in 2011 to build a radio frequency transmission protocol on Smart Home Automation system. Meanwhile, he was a research officer at University Malaya in 2012 while pursuing his postgraduate studies in High Efficiency Video Coding (HEVC) and information hiding area. He has published more than 30 papers including Web of Science ISI Tier-1 papers and was admitted as Associate Editor for IEEE Transaction on Circuits and Systems for Video Technology.
He has served as an academic staff since 2016, supervised projects in Computer Science and ICT, and particularly in image and video processing, embedded system and Internet of Things related areas. He is also the lead researcher from the Centre of Computational Intelligence in TAR UC to supervise Intelligent Classroom, Community Webcast Systems, Augmented Reality as well as Artificial Intelligence projects on face recognition, object and human behaviour detection. In addition, he received recognition and was appointed as a National Expert and Judge in the Internet of Things and Cloud Computing category from the Department of Skills Development, Ministry of Human Resource since 2018, to lead a national team in participating in the Asean and Asia level Skills Competitions. In his academic involvement, he actively participated in a number of industry and research projects. He received a TAR UC internal grant in 2017, Fundamental Research Grant Scheme by the Ministry of Education in 2018 to conduct HEVC Multi-view Video Streaming Mechanism for Data Distribution Service Framework and an industrial grant from Kian Joo Can Factory with the project related to Industry 4.0 data channelling implementation. Throughout his achievement, he obtained his professional technologist recognition from Malaysia Board of Technologist, Associate Fellow of ASEAN Academy of Engineering & Technology, the Outstanding Researcher Award in TAR UC in 2018 and 2020. His current research and consultancy projects are in the areas as follows: Internet of Things, Smart Manufacturing (Industry 4.0), Smart Agricultural, Augmented Reality, Optical Character Recognition, Machine Learning Application, etc, under his research centre
03-4145 0123 (Mr James Lee - ext 3510)