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2018 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 .

Semester 1


March 2
Learning event encodings grounded from self-explored behaviour
Christian Gumbsch, University of Tübingen, Germany
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March 9
Towards Robust Data Mining Methods for Human Activity Recognition
Brendon Woodford, Department of Information Science

March 16
Driving Safety-oriented Cooperative Awareness Message Broadcast for Decentralised Vehicular Ad Hoc Networks
Guangbing Xiao, Department of Computer Science

March 23
Blockchain and Cryptocurrencies: what are they, and possible research opportunities
John Williams, Department of Marketing

March 30
No Seminar - Good Friday


April 6
No Seminar - Mid Semester Break

April 13
Four- and Seven-Point Relative Pose from Oriented Features
Steven Mills, Department of Computer Science

April 20
The DAO Controversy: The Case for a New Species of Corporate Governance?
Stephen Wingreen, College of Business and Law, University of Canterbury

April 27
Toward Smart IoT: Learning-based Power Adaptive Communication for Wireless Body Sensor Networks
Abbas Arghavani, Department of Computer Science


May 4
Energy, Information and the Evolution of Neural Computation
Mike Paulin, Department of Zoology

May 11
Task scheduling in data stream processing systems
Leila Eskandari, Department of Computer Science

May 18
Investigating value co-creation on Twitter
Mostafa Alwash, Department of Information Science

May 25
Catching the big Data Science fish - Which Way to Angle or ...
Jeremiah Deng, Department of Information Science


June 1
SIMD and Search Engines - ongoing research in the Information Retrieval Research Group
Andrew Trotman and Kat Lilly, Department of Computer Science

End Of Semester One

Last modified: Monday, 28-May-2018 15:29:45 NZST

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