Personal profile
Research Interests
Personal profile
Dr. Qing Tan is a 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.
Education/Academic qualification
PhD, Control Engineering in Robotics, Norwegian University of Science and Technology
… → 1993
External positions
Co-supervisor for PhD Student in Computer Science, University of Oviedo, Spain
International Collaborative Researcher, University of Zaragoza, Spain
Program Advisor for the department of Computer and Science and Technology, Vancouver Community College, BC, Canada
Expertise related to UN Sustainable Development Goals
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):
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SDG 4 Quality Education
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SDG 9 Industry, Innovation, and Infrastructure
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Collaborations and top research areas from the last five years
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Interpretable ML for Stress Detection from Vital Signs Using SHAP
Mihirette, S., De la Cal Martin, E. A. & Tan, Q., 2026, Hybrid Artificial Intelligent Systems - 20th International Conference, HAIS 2025, Proceedings. Corchado, E., Quintián, H., Troncoso Lora, A., Pérez García, H., Jove Pérez, E., Calvo Rolle, J. L., Martínez de Pisón, F. J., García Bringas, P., Martínez Álvarez, F., Herrero, Á., Fosci, P. & Sérgio Filipe, R. (eds.). p. 103-114 12 p. (Lecture Notes in Computer Science; vol. 16202 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Published Conference contribution › peer-review
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Cross-contextual stress prediction: Simple methodology for comparing features and sample domain adaptation techniques in vital sign analysis
Mihirette, S., De la Cal, E. A., Tan, Q. & Sedano, J., Apr. 2025, In: Applied Intelligence. 55, 6, 420.Research output: Contribution to journal › Journal Article › peer-review
Open Access2 Citations (Scopus) -
Enhancing Infrastructure-as-Code with Objectoriented Programming for Improving Maintainability
Nevesinjac, M. & Tan, Q., 2025, 2025 10th International Conference on Cloud Computing and Big Data Analytics, ICCCBDA 2025. p. 566-572 7 p. (2025 10th International Conference on Cloud Computing and Big Data Analytics, ICCCBDA 2025).Research output: Chapter in Book/Report/Conference proceeding › Published Conference contribution › peer-review
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Investigating the sustainability of Open Universities: Models, opportunities, and challenges
Liu, D., Huang, R., Li, S., Tan, Q., Farrow, R., Bandalaria, M., Awang, A. I., Xiao, J., Bozkurt, A., Burgos, D., Hawamdeh, M. M. K. & Tlili, A., 30 Jun. 2025, In: Journal of Applied Learning and Teaching. 8, 2, p. 58-66 9 p.Research output: Contribution to journal › Journal Article › peer-review
Open Access
Press/Media
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Albertans have lost at least $156M to fraud this decade. Many others don't report the crime
22/03/24
1 item of Media coverage
Press/Media
Impacts
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Digital Avatar and Twin (DAT) for Telepresence Robot-Empowered Smart Lab
Tan, C. (Participant) & Pivot, F. (Participant)
Impact: Scholarly, Economic