Name of Staff: Dr Tan Kian Lam (Andrew)
Designation: Senior Lecturer
Qualifications: PhD (Computer Science), UGA France; PhD (Computer Science), USM; Master of Computer Science (Information and Knowledge Engineering) USM; BCompSc (Computing and Software Engineering) USM
Dr Tan was invited as a Visiting Scientist to the Universite Grenoble Alpes in 2016 to focus on the area of lifelogging and tourism by using the technology of deep learning and social network. He was also invited as an Adjunct Researcher to the International e-Tourism Research Centre at Chengdu University, China, to focus on the area of smart tourism where the main stakeholder is Tencent from China.
In addition, he acts as an advisor to the National Child Data Centre (NCDC), which keeps comprehensive data of children, educators and childcare centres to facilitate stakeholders (e.g. PERMATA, KEMAS) to plan and implement programmes. Furthermore, he was one of the invited panellists at the “100 Go Digital” programme initiated by the Malaysia Digital Economy Corporation (MDEC). 100 Go Digital is an initiative to enable traditional Malaysian businesses in key sectors to move towards digitalisation. Subsequently, he was the Ambassador of Laboratoire d’Informatique de Grenoble, France.
He was partially sponsored by MFUC to pursue the Joint-PhD programme at Universite Grenoble Alpes (UGA) and Universiti Sains Malaysia (USM) and graduated in 2014.
He joined Intel in 2008 as a software engineer, and during the 2 years there, he successfully deployed several automation software solutions for United States, India and China. Due to interests in information retrieval (IR), big data analysis (BDA) and mobile games, he is now is a senior lecturer at WOU. He has published more than 50 proceedings and journal articles, as well as several papers on gamification to encourage tourists to explore the local cultural heritage sites.
Retrieval Models (Vector Space Model, Probabilistic Model and Language Model), Document indexing and term weighting, system experimentation and evaluation, data science, data mining, artificial intelligence, digital heritage, deep learning, convolutional neural network, gamification.
A Survey on Communication Components for IoT-based Technologies in Smart Homes; Telecommunication System (ISI); Impact Factor 1.707; Q3
A Proposed Methodology of Bringing Past Life in Digital Cultural Heritage through Crowd Simulation: A Case Study in George Town, Malaysia; Multimedia Tools and Applications (ISI); Impact Factor 2.101; Q2
Smart Home-based IoT for Real-time and Secure Remote Health Monitoring of Triage and Priority System using Body Sensors: Multi-driven Systematic Review; Journal of Medical Systems (ISI); Impact Factor 2.415; Q2
Official Correspondence Address:
School of Digital Technology
Wawasan Open University
54, Jalan Sultan Ahmad Shah