My research interests include Cyber-Physical System, Telepresence Robotics, Cloud Computing, Artificial Intelligence, Enterprise Computer Network, Cyber Security and Data Privacy, Internet of Things, Big Data Analytics, Mobile Computing, Adaptive Mobile Learning and Commerce. My research work also involves emerging technologies, such as, Artificial Intelligence, Machine Learning, and Blockchain. My research interests also included studying on the social impact of advanced computing and information technologies.
Dr. Qing Tan is an associate professor in the School of Computing and Information Systems at Athabasca University. He earned his PhD in Cybernetics Engineering for Robotics from the Norwegian Institute of Technology in 1993. The Japan Atomic Energy Research Institute invited him in 1994 as a foreign senior research fellow. He did his post-doctoral fellowship at the University of Alberta. He joined Athabasca University in 2007 with extensive IT industrial experience.
Dr. Tan is teaching and developing undergraduate and graduate courses including Mobile Computing, Computer Networking, E-Commerce, Enterprise Modeling, Cloud Computing, and Big Data Analytics. Dr. Tan’s research interests include Cyber-Physical System, Telepresence Robotics, Artificial Intelligence, Cloud Computing, Enterprise Computer Network, Cyber Security and Data Privacy, Internet of Things, Big Data Analytics, Location-Based Technology, Mobile Computing, Adaptive Mobile Learning and Commerce. His research work also involves emerging technologies, such as, Artificial Intelligence, Machine Learning, and Blockchain. His research interests also included studying on the social impact of advanced computing and information technologies.
Dr. Tan was one of the first people to introduce the location awareness of mobile devices into mobile learning applications. Dr. Tan has developed the Location-Based Dynamic Grouping Algorithm for collaborative mobile learning, the 5R Adaptation Framework for location-based mobile learning system, and the Location-based Object Identification Algorithm for Augmented Reality in adaptive mobile learning. While Dr. Tan’s research studies the theoretic and academic problems, he also strives to solve the application issues. He is working on building a cyber-physical system, the telepresence robot empowered smart labs at Athabasca University to allow online students to conduct lab works via the Internet. He also collaborates on the development of a mobile fieldtrip system to assist online students with their fieldwork.
Overall, Dr. Tan’s pioneering works had a great impact on mobile learning research and development. Dr. Tan received many research grants and published many papers on international journals and conferences.
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):