Department of Computer Science


Intelligent Systems and Informatics

Supervisors:

You can add/modify/delete the available projects by modifying the spreadsheet here. After updating the spreadsheet, please email the Computer Science web administrator at d.dimalen@auckland.ac.nz.

Dr Mike Barley

Contact Dr Barley directly about potential projects at mbar098@cs.auckland.ac.nz.

Associate Professor Patrice Delmas

Research topics  Co-supervisor/s Status/Current student
Accurate 3D scene modelling by fusion of active range and passive stereo data. Professor Georgy Gimel'farb Chan, Edwin
(PhD student)

Dr Matthew Egbert

Research topics  Co-supervisor/s Status/Current student
Strong AI: How can we build a self‐aware artificial consciousness?  - -
Origins of Life: How can we use computer simulations to understand how life emerged in a non‐living universe? - -
Evolutionary Robotics: Simulating evolution to design unconventional robot‐controllers

Claire Postlethwaite in Maths

-

Professor Georgy Gimel'farb

Research topics  Co-supervisor/s Status/Current student
Energy minimisation-based stereo matching with due account of multiple equivalent solutions. Dr Patrice Delmas Gong, Rui
(PhD student)
Image and video processing, computer vision, pattern recognition and medical image analysis. Dr Patrice Delmas

 

Liu, Ni
(PhD student)

High-order Markov-Gibbs random fields for texture modelling. Dr Pat Riddle

Versteegen, Ralph
(PhD student)

Dr Yun Sing Koh

Contact Dr Koh directly about potential projects.

Dr Jiamou Liu

Contact Dr Liu directly about potential projects.

Dr Patricia Riddle

Contact Dr Riddle directly about potential projects at pat@cs.auckland.ac.nz

Professor Jim Warren

Research topics  Co-supervisor/s Status/Current student
Health system usage for cardiovascular risk management   Feiyu Hu (PhD Student),
William Hsu (PhD Student) 
Health screening and mental health promotion (e-therapy).   Contact jim@cs.auckland.ac.nz

Associate Professor Ian Watson

Research topics  Co-supervisor/s Status/Current student
Development of macro and micro-level assistive agents for real-time strategy games using case-based reasoning and reinforcement learning.  

Robertson, Glen (PhD student)

 

Creating human-level AI in strategy games using hybrid CBR/RL.   Wender, Stefan
(PhD student)

Dr Joerg Wicker

Contact Dr Wicker directly about potential projects at j.wicker@auckland.ac.nz