Dr. Michael Janzen
Biography
Michael is an associate professor in Computing Science at King’s. He received his PhD from the University of Saskatchewan in Computing Science as well as a Masters of Science in Computer and Information Science from Guelph University, and a B.Sc. in Computers and Physics from Brock University. His research interests include virtual camera selection using SCSPs (semi-ring constraint satisfaction problems), serious game modules, and camera trap image processing.
Research interests
I am researching virtual camera selection in virtual worlds, serious game modules, and camera trap image processing.
Recent publications
Vanderveen, P., Janzen, M., & Tappenden, A. F. (2014). A Web Service Test Generator. In The Proceeding of the 2014 International Conference on Software Maintenance and Evolution (pp. 516–520). Presented at ICSME 2014, Victoria, BC.
Adejumobi, B., Franck, N., Janzen, M.: Designing and Testing a Racing Car Serious Game Module. In: Ma, M., Oliveira, M.F., Hauge, J.B. (eds.) SGDA 2014. LNCS, vol 8778, pp. 192-198. Springer, Heidelberg (2014).
Edmundson, D., Janzen, M.: Serious Game Modules for Entertainment Games. In: Ma, M., Oliveira, M.F., Petersen, S., Hauge, J.B. (eds.) SGDA 2013. LNCS, vol 8101, pp. 206-211. Springer, Heidelberg (2013)
Michael Janzen, Michael C. Horsch, Eric Neufeld. A Method of Virtual Camera Selection Using Soft Constraints. In Proceedings of FLAIRS Conference'2011.
Michael Janzen, Eric Neufeld, and Michael Horsch. Camera Selection Using SCSPs. In Proceedings of the 13th International Conference on Computer Graphics and Artificial Intelligence, 2010.
Michael Janzen, Michael C. Horsch, Eric Neufeld. Camera selection using SCSPs. Future Play'2008. pp.252~253
Yang Xiang, Michael Janzen: A computational framework for package planning. KES Journal 10(2): 93-104 (2006)
Yang Xiang, Michael Janzen: Package Planning with Graphical Models. FLAIRS Conference 2004
Michael Janzen, Yang Xiang: Probabilistic Reasoning for Meal Planning in Intelligent Fridges. Canadian Conference on AI 2003: 575-582