2016 Computer and Information Science Seminar Series

This page provides a list of seminars that will be presented on the dates specified at 1:00 pm in Room G34 of the Owheo Building (133 Union Street East). Where available, an abstract of the seminar can be displayed by clicking on the title of the seminar.

If you wish to be added to a mailing list in order to automatically receive announcements of the weekly seminars, then please send an e-mail message to the seminar list administrator .

Semester 2

July

July 15
"Why can't I see the structure?"
Richard O'Keefe, Department of Computer Science

July 22
A Bayesian approach to learning norms from observation in multi-agent systems
Stephen Cranefield, Department of Information Science

July 29 An Augmented Reality Sandbox
Steven Mills, Department of Computer Science; Tony Moore, School of Surveying; Ben Daniel, HEDC

August

August 5 Robocup 2016
Chris Edwards, Department of Information Science

August 12 Discovering Informational Biomarkers for Cognitive Tasks: Recent Examples and Lessons from Neurocomputation.
Larry Manevitz, University of Haifa, Israel

August 19 Characterising relational view updates using relative information capacity
Nigel Stanger, Department of Information Science

August 26
No Seminar

September

September 2
No Seminar - Mid Semester Break

September 9 The Development of Valid Measurement with Heterogeneous Indicators
Sander Zwanenburg, Department of Information Science

September 16 Learning object-centered space via tactile exploration and recurrent self-organising maps
Hayim Dar, Department of Computer Science

September 23 A mild review of several software engineering projects
Sherlock Licorish, Department of Information Science

September 30 Three Dimensional Reconstruction of Human Lumbar Spine from Bi-planar X-rays
Hamza Bennani, Department of Computer Science

October

October 7 What is expected to happen vs what happens - A process mining based study of decision-making processes in Python
Tony Savarimuthu, Department of Information Science

October 14 Shall we fear the Luddites? - Advancing technology and unemployment.
Geoff Wyvill, Department of Computer Science