AUT - Doctor of Philosophy
- ArionWhere applying and enrolled students can access AUT course information, check your enrolment status, make fee payments, update your personal details and view your academic results.
- AUTOnlineOnline access to course resources and learning activities through AUT's central learning management system.
- UnicentralUniCentral is the AUT University Student Portal. Here you will find useful information about you as a student and quicklinks to all the important online systems you will need to use while studying at AUT University.
Centre Banner
Breadcrumb
Main Content
Doctor of Philosophy
Topics in Computing and Mathematical Sciences
The Doctor of Philosophy (PhD) studied in the School of Computing and Mathematical Sciences, is awarded after the successful completion of three years (or the equivalent) of concentrated research effort constituting an original and substantial contribution to knowledge. Students work closely with their supervisor to prepare a thesis, which is examined by independent experts who apply contemporary international standards.Quick facts
Programme Code: AK3518
Level: 10
Points: 360
Duration: Three years full time/Six years part time
Venue: City Campus
Start date: Anytime
AUT encourages early application.
Entry requirements
English Language Requirements
Applicants for whom English or Māori is not their first language are required to provide proof of an acceptable pass/grade gained in an accepted English language test. For more details, please refer to English Language Requirements in AUT’s Academic Calendar.
Research Topics
Staff in the School of Computing and Mathematical Sciences supervise PhD research on a wide range of computing topics. In particular, the School has extensive research capabilities in the following areas:
- Algebraic structures and applications (Andrew Ensor)
- Financial modelling, game theory and mathematical economics (Jiling Cao, Guanghua Lian)
- Infinite-dimensional and nonlinear analysis (Jiling Cao)
- Mathematical and computational modelling in physical electronics and charged particles optics. (Alla Shymanska).
- Stochastical modeling in nuclear physics.(Alla Shymanska).
- Mathematical physics (Sergei Gulyaev)
- Mathematical and computational finance (Guanghua Lian)
- Mathematical modelling of epidemics (Sergiy Klymchuk)
- Stochastical modelling in nuclear physics (Alla Shymanska)
- Theoretical & computational modelling in fluid mechanics & structure-courne sounds (Hyuck Chung)
- Topology and its applications (Jiling Cao)
- Agent-based simulation (Quan Bai)
- Decision support systems (Quan Bai)
- Evolutionary computation and cellular automata (Ajit Narayanan, Jacqueline Whalley)
- Intelligent bioinformatics (Ajit Narayanan, Jacqueline Whalley)
- Meta-heuristic optimisation algorithms (Jacqueline Whalley)
- Modelling natural language (Wai Kiang Yeap)
- Multi-agent systems (Quan Bai)
- Nature Inspired Computing, including DNA computing, quantum computing and artificial immune systems (Ajit Narayanan, Jacqueline Whalley)
- Robotics (Wai Kiang Yeap)
- Astrophysics (Sergei Gulyaev, Tim Natusch)
- Radio astronomy (Sergei Gulyaev, Tim Natusch)
- Design and animation (Barry Blundell)
- Mobile augmented reality (Andrew Ensor)
- Real-time rendering (Andrew Ensor)
Computer and Wireless Communication Networks
- Cognitive radio networks (Nurul Sarkar)
- Cross-layer wireless LAN design optimisation (Nurul Sarkar)
- Multiple QoS in emergency traffic in mobile WiMAX (Nurul Sarkar)
- Multiple QoS provisioning for emergency traffic in WLANs (Nurul Sarkar)
- Optimisation of high-density WLANs (Nurul Sarkar)
- Optimisation of wireless mesh networking (Nurul Sarkar)
- Planning and optimisation of in-building wireless LAN systems (Nurul Sarkar)
- TCP performance over wireless networks (Nurul Sarkar)
- Traffic dimensioning of WLANs (Nurul Sarkar)
- VoIP and video over WLANs (Nurul Sarkar)
- Wireless MAC and routing protocols (Nurul Sarkar)
- Machine Consciousness (Phil Carter)
- Origins of Technology (Phil Carter)
Data Mining and Machine Learning
- Computational approaches to modelling financial time series data (Russel Pears, Nik Kasabov)
- Mining high speed data streams (Russel Pears)
- Pattern mining (Russel Pears)
- Text mining (Subana Shanmuganathan)
- Distributed and mobile systems (Andrew Ensor)
- Distributed intelligent systems (Quan Bai)
- Peer-to-peer systems (Andrew Ensor)
Forensic Information Technology
- Bioinformatic forensics (Ajit Narayanan)
- Digital forensic devices and tools (Brian Cusack)
- Mobile Cloud Security (Krassie Petrova)
Geoinformatics
- Environmental modelling (Philip Sallis, Subana Shanmuganathan)
- Geo-referenced (coded) data analysis (Philip Sallis, Subana Shanmuganathan)
- Geo-visualization (Jacqueline Whalley)
- Hybrid approaches to analysing disparate data sets (Philip Sallis, Subana Shanmuganathan)
- Sensor design/wireless telemetry systems (Philip Sallis, Subana Shanmuganathan)
- Collaborative Consumption culture (Stephen Thorpe)
- Computer mediated communication (Stephen Thorpe)
- E-government (Stephen Thorpe)
- Forensic IT and security (Brian Cusack, Ajit Narayanan)
- Global virtual teams (Stephen Thorpe)
- Group facilitation (Stephen Thorpe)
- Health Informatics (Dave Parry)
- Information systems security (Brian Cusack)
- Information systems development (Stephen MacDonell)
- Information systems philosophy (Brian Cusack)
- Information technology governance & ISO (Brian Cusack, Stephen Thorpe)
- Mobile services and applications (Krassie Petrova)
- Mobile information systems (Krassie Petrova)
- Multi-stakeholder engagement (Stephen Thorpe)
- Radio frequency identification (RFID) applications (Dave Parry)
- Fuzzy ontology and uncertainty on the web (Dave Parry)
- Multimedia signal processing (Alvis Fong)
- Multimedia information management with respect to storage, indexing and retrieval (Alvis Fong)
- Ontology and the semantic web (Alvis Fong)
- Bioinformatics (Nik Kasabov, Ajit Narayanan)
- Computational intelligence methods and applications (Nik Kasabov)
- Evolutionary computation (Nik Kasabov)
- Information retrieval (Dave Parry, Russel Pears)
- Intelligent support in business applications and in Bioinformatics (Nik Kasabov, Russel Pears)
- Knowledge discovery in brain science (Nik Kasabov)
- Knowledge management (Quan Bai)
- Knowledge provenance (Quan Bai)
- Neural networks - biological and artificial: methods and applications (Nik Kasabov)
- Speech and language engineering (Parma Nand, Wai kiang Yeap)
Mathematics and Computing Education
- Computer science education: novice programmers, the development of expertise, tools to assist learning (Jacqueline Whalley, Tony Clear)
- Counter examples in mathematics (Sergiy Kymchuk)
- Effective teaching of mathematical modelling and applications (Sergiy Klymchuk)
- Statistics education (Murray Black)
- Transition from secondary to university education in mathematics (Sergiy Klymchuk)
- Virtual worlds and education (Stephen Thorpe)
- Structure and dynamic modelling in complex networks (William Liu)
- Network vulnerability and survivability (William Liu)
- Green networking and smartGrid communications (William Liu)
- Trustworthy computing (William Liu)
- Axiomatic set theories (Farida Kachapova)
- Mathematical logic (Farida Kachapova)
Software Engineering
- Compilers and interactive development environments (James Skene)
- Empirical software engineering (Stephen MacDonell)
- Global software development (Stephen MacDonell, Tony Clear)
- Management of software projects (Stephen MacDonell)
- Service oriented computing (Quan Bai, James Skene)
- Software science for IT (Krassie Petrova)
- Software construction (James Skene)
- Software forensics, the analysis of software authorship (Stephen MacDonell)
- Software modelling languages and generative programming (James Skene)
- Software process improvement (Stephen MacDonell, Jim Buchan)
- Systems performance measurement and improvement (James Skene)
- Web services (Quan Bai, James Skene)
- Applied probability (Jeff Hunter, Robin Hankin)
- Applied stochastic models (Paul Cowpertwait)
- Applications in engineering hydrology (Paul Cowpertwait)
- Bayesian inference and method (Kate Lee)
- Markov chain modelling (Jeff Hunter)
- Point process models of rainfall (Paul Cowpertwait)
- Reliability and generalisability (Ajit Narayanan)
- Statistical computation (Robin Hankin)
- Time series (Paul Cowpertwait)
- usability testing (Philip Carter)
Theoretical Computer Science and Applications
- Algorithmic model theory (Jiamou Liu)
- Automata theory and logic (Jiamou Liu, Ajit Narayanan)
- Combinatorial algorithms (Jiamou Liu)
- Complexity theory (Jiamou Liu)
- Theory of programming languages (James Skene)
Students can also work on topics that incorporate aspects of more than one of these research areas, with supervision from staff in those groups.
Please contact the Programme Administrator, Karishma Bhat for programme information.
Career opportunities
Upon completion of a PhD in the field of Computing and Mathematical Sciences, you will be a recognised expert in your field. The opportunity to apply this will be endless, both in industry and academia.
Last updated: 07 May 2012 4:30pm