Research Projects and Activities:

SECML (The Software Engineering and Collaborative Modelling Laboratory), a centre for research in software engineering, distributed information systems, process modelling, advanced computational architectures, narrative modelling and mobile games, computer-supported cooperative work (CSCW), and applications of spatial information systems.
DC&SA (The Distributed Computing & Software Agents Research Centre) – research in the development of distributec computing and agent architectures, ontologies, negotiation mechanisms, and tools to assist in the early stages of engineering and information system development and in software interoperability over distributed networks.
NZDIS (The New Zealand Distributed Information Systems project) is developing new techniques for the efficient and effective access of distributed information.
SMART (Semantic Multimedia Analysis, Retrieval, and Transcoding)

Former projects:
Sun Microsystems Centre of Excellence. We were the first university outside of the United States to be selected as a Sun Microsystems OpenSPARC Centre of Excellence (2008-2010)..
GNI (Global Network Interconnectivity project) was devoted to research, enterprise training, and knowledge sharing activities to support new ICT technologies, such as JAIN SLEE, that ontribute to telecommunications, multimedia, and information systems convergence. (completed 2009)
ONGENS (Otago Next Generation Networks and Services Test Bed) – a facility for the trial and test of advanced distributed networking applications and multi-processing service-oriented applications (completed 2009).
DCT&A (Distributed Computing Technology & Applications Research project) developed software technology to enhance organizatonal interactions in open, distributed, and dynamic networked environments. This programme utilised technology developed in the DC&SA centre. (completed 2007)
OSAMS (Otago Spatial Analysis and Modelling System project), a toolbox was developed that incorporates neural network, fuzzy-rule extraction, and fuzzy inference modules that enable both neural and symbolic inference mechanisms to be employed in the analysis of spatial data. (completed 2000)
CBIS (Connectionist-Based Information Systems) – connectionist-based techniques that include neural networks, fuzzy inference, evolutionary computing, multi-agent systems, and statistical learning methods. (completed 2000)

PhD Students (completed PhDs):


From the Otago Daily Times, 13 May 2012: