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2020 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 the 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 .


Extra seminars

January 10
Vision Augmentation: How see-through displays could overwrite our visual world via computation?
Dr. Yuta Itoh, Assistant Professor, Tokyo Institute of Technology, Japan

January 24
Scalable Parallel and Distributed Swarm Intelligence Algorithms for Large-scale Optimization
Prof. Wei-Neng Chen, South China University of Technology

Thursday 13th February, 11am (NOTE TIME)
Approaches and Challenges to Virtual and Augmented Reality in Health Care and Rehabilitation
Dr. Joaquim Jorge, School of Engineering of the University of Lisboa, Portugal

Semester 1


February 28
Smart Medicine: Medical Big Data Mining /AI with Innovative Applications in Patient Monitoring, Diagnosis, Prediction and Health Management
Prof Yanchun Zhang, Victoria University, Australia


March 6
How we may use our eyes for human-computer interaction
Dr. Hans Gellersen, Professor of Interactive Systems, Lancaster University

March 13
Localization and tracking of stationary users for Augmented Reality
Lewis Baker, PhD student, Department of Computer Science, University of Otago

March 20
No seminar.

March 27
Making Optical See-Through Head-Mounted Displays a Commodity Through Eye Tracking
Dr. Alex Plopski, Department of Information Science, University of Otago


April 3
Switched linear projections for deep neural network interpretability
Dr Lech Szymanski, Department of Computer Science, University of Otago

April 24
The complexity of computing nearest neighbour interchange distances between ranked phylogenetic trees
Lena Collienne, Biological Data Science Lab, Department of Computer Science


May 1
Mining Decision-Making Processes in Open Source Software Development — A Study of Python Enhancement Proposals (PEPs) using Email Repositories
Nigel Stanger, Department of Information Science, University of Otago


End Of Semester One



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