AUT - Doctor of Philosophy
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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.Programme Code: AK3518
Level: 10
Points: 360
Duration: Three years full time/Six years part time
Venue: City Campus
Starting date: The PhD may be commenced at any time
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 and mathematical economics (Jiling Cao, Andy Lian)
- Mathematical and computational modeling in physical electronics and charged particles optics. (Alla Shymanska).
- Stochastical modeling in nuclear physics.(Alla Shymanska).
- Mathematical Physics (Sergei Gulyaev)
- Mathematical and Computational Finance (Andy Lian)
- Mathematical Modelling of Epidemics (Sergiy Klymchuk)
- Nonlinear and set-valued analysis (Jiling Cao)
- 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)
- Meta-heuristic optimisation algorithms (Andy Connor, Jacqueline Whalley)
- Modelling natural language (Wai Kiang Yeap)
- Multi-agent systems (Quan Bai)
- Nature Inspired Computing (Ajit Narayanan)
- Robotics (Wai Kiang Yeap)
- Real-time Rendering (Andrew Ensor)
- Mobile Augmented Reality (Andrew Ensor)
- Design and Animation (Barry Blundell)
Computer and Wireless Communication Networks
- Cognitive Radio Networks (Nurul Sarkar)
- Cross-Layer Wireless LAN Design Optimisation (Nurul Sarkar)
- Planning and Optimisation of In-Building Wireless LAN Systems (Nurul Sarkar)
- Traffic Dimensioning of Wireless Lans (Nurul Sarkar)
- VoIP over Wireless LANs (Nurul Sarkar)
- Wireless MAC and Routing protocols (Nurul Sarkar)
- Wireless mesh networking (Nurul Sarkar)
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)
- Peer-to-peer systems (Andrew Ensor)
Forensic Information Technology
- Intelligence Surveillance (Weiqi Yan)
- 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)
- Content-based Networking (William Liu)
- Cloud and Crowd Computing (William Liu)
- Electronic commerce (Krassie Petrova)
- Forensic IT and security (Brian Cusack, Ajit Narayanan)
- Health Informatics (Dave Parry)
- Information Systems Security (Brian Cusack)
- Information Technology Governance & ISO (Brian Cusack)
- Information Systems Philosophy (Brian Cusack)
- 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)
- DNA computing (Ajit Narayanan)
- Evolutionary Computation (Ajit Narayanan, Nik Kasabov)
- Information Retrieval (Dave Parry, Russel Pears, Andy Connor, Stephen MacDonell)
- Intelligent support in business applications and in Bioinformatics (Nik Kasabov, Qun Song, 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)
- Quantum computing (Ajit Narayanan)
- Speech and language engineering (Parma Nand, Wai(Albert) Yeap)
Mathematics and Computing Education
- 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)
- Axiomatic set theories (Farida Kachapova)
- Mathematical logic (Farida Kachapova)
Radiophysics and Space Research
- Astrophysics (Sergei Gulyaev, Tim Natusch)
- Geographic information systems (Sergei Gulyaev)
- Radio astronomy (Sergei Gulyaev, Tim Natusch)
- Radiophysics (Sergei Gulyaev, Tim Natusch)
- Context-aware Search Engines (Andy Connor, Russel Pears, Stephen MacDonell)
- Computer Graphics and Visualization (Jacqueline Whalley)
- Computer Science Education (Jacqueline Whalley, Tony Clear)
- Empirical Software Engineering (Stephen MacDonell)
- Global Software Development (Stephen MacDonell, Tony Clear)
- Management of software projects (Stephen MacDonell, Andy Connor)
- Requirements Engineering (Andy Connor)
- Software forensics, the analysis of software authorship (Stephen MacDonell)
- Systems performance measurement and improvement (Andy Connor)
- Service oriented computing (Quan Bai)
- Web service (Quan Bai)
- 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)
- Assessing the usability of work surfaces (Philip Carter)
- Processes and tools to improve human computer interaction (Philip Carter)
Theoretical Computer Science and Applications
- Algorithmic Model Theory (Jiamou, Liu)
- Automata Theory and Logic (Jiamou, Liu)
- Combinatorial Algorithms (Jiamou, Liu)
- Complexity Theory (Jiamou, Liu)
Students can also work on topics that incorporate aspects of more than one of these research areas, with supervision from staff in those groups.
CAREER OPPORTUNITIES
Upon completion of a PhD in the field of Computer and Information Science, you will be a recognised expert in your field. The opportunity to apply this will be endless, both in industry and academia
Last updated: 03 Feb 2012 9:15am