School of Engineering, Computer & Mathematical Sciences
AUT is home to a number of renowned research institutes in engineering, and computer and mathematical sciences. The School of Engineering, Computer and Mathematical Sciences strong industry partnerships and the unique combination of engineering, computer and mathematical sciences within one school stimulates interdisciplinary research beyond traditional boundaries. Current research interests include:
- Artificial Intelligence; Astronomy and Space Research;
- Biomedical Technologies;
- Computer Engineering; Computer Vision; Construction Management;
- Data Science;
- Health Informatics and eHealth;
- Industrial Optimisation, Modelling & Control;
- Information Security;
- Mathematical Sciences Research; Materials & Manufacturing Technologies;
- Networking, Instrumentation and Telecommunications;
- Parallel and Distributed Systems; Power and Energy Engineering;
- Software Engineering; Signal Processing; STEM Education;
- Wireless Engineering;
Items in these collections are protected by the Copyright Act 1994 (New Zealand). These works may be consulted by you, provided you comply with the provisions of the Act and the following conditions of use:
- Any use you make of these works must be for research or private study purposes only, and you may not make them available to any other person.
- Authors control the copyright of their works. You will recognise the author’s right to be identified as the author of the work, and due acknowledgement will be made to the author where appropriate.
- You will obtain the author’s permission before publishing any material from the work.
Recently Added
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Lecturer Use of Pen-enabled Tablet PC Technology in the STEM Classroom: Implications for Notetaking
(Australasian Journal of Educational Technology (AJET), 2017)The pen-enabled Tablet PCs(penTPC) has been adopted by increasing numbers of lecturers teaching in mathematically intensive disciplines within the study university. This uptake has been facilitated by the device’s capability ... -
Evaluation Methods for Assessing Users' Psychological Experiences of Web-based Psychosocial Interventions: A Systematic Review
(JMIR Publications, 2016)The use of Web-based interventions to deliver mental health and behavior change programs is increasingly popular. They are cost-effective, accessible, and generally effective. Often these interventions concern psychologically ... -
The Ongoing Training of a Psychodramatist: There and Back Again
(New Zealand Association of Psychotherapists (NZAP) Inc., supported by the School of Public Health & Psychosocial Studies, Auckland University of Technology, 2015)This paper is structured as a narrative so that the reader may not just have an understanding of the content but also an experience of it. The value of naivety, alertness, and readiness is highlighted. I describe core ... -
Application Problems Vs Pure Mathematics Questions: Students’ Perspectives
(Institute of Mathematics and its Applications (IMA), 2017)The paper presents results of two case studies with undergraduate students majoring in applied mathematics and engineering. The first case study deals with students’ preferences and difficulties with application problems ... -
Detection of Adulteration in Red Meat Species Using Hyperspectral Imaging
(Springer, 2017)This paper reports the performance of hyperspectral imaging for detecting the adulteration in red-meat species. Line-scanning images are acquired from muscles of lamb, beef, or pork. We consider the states of fresh, frozen, ... -
Image Encryption Based on Double Random Phase Encoding
(IEEE, 2017)In this paper, we propose an improved image encryption algorithm based on double random phase encoding (DRPE). Our contribution is the design of a new algorithm which uses Discrete Cosine Transform (DCT) to replace Discrete ... -
Potential Kick Velocity Distribution of Black Hole X-ray Binaries and Implications for Natal Kicks
We use Very Long Baseline Interferometry to measure the proper motions of three black hole X-ray binaries (BHXBs). Using these results together with data from the literature and Gaia-DR2 to collate the best available ... -
mHealth and Big-data Integration: Promises for Healthcare System in India
(BMJ, 2019)Background The use of mobile devices in health (mobile health/mHealth) coupled with related technologies promises to transform global health delivery by creating new delivery models that can be integrated with existing ... -
Improving a Credit Scoring Model by Incorporating Bank Statement Derived Features
In this paper, we investigate the extent to which features derived from bank statements provided by loan applicants, and which are not declared on an application form, can enhance a credit scoring model for a New Zealand ... -
Importance Sampling Schemes for Evidence Approximation in Mixture Models
(arXiv, 2014)The marginal likelihood is a central tool for drawing Bayesian inference about the number of components in mixture models. It is often approximated since the exact form is unavailable. A bias in the approximation may be ... -
A Systematic Review of Vulnerabilities in Hypervisors and Their Detection
(Association for Information Systems (AIS), 2017)The paper presents a systematic review of risk assessment processes to provide an overview of the risks to cloud computing and identify future research directions. This paper also provides an analysis of sophisticated ... -
The Benefits of Open Government Data Use: A Crosscountry Comparison
(Association for Information Systems (AIS), 2019)Data produced by government have enormous importance; in addition to providing the information needed to run governance tasks related to internal processes, they can be used to create new sources of value by combining ... -
IoT, Cloud Computing and Big Data: Integrated Framework for Healthcare in Disasters
(International Medical Informatics Association (IMIA) and IOS Press, 2019)Currently, healthcare in disaster management context faces a number of challenges mostly due to the lack of availability of reliable data from diverse sources required to be accessible by appropriate authorities. Therefore, ... -
Local Fast R-CNN Flow for Object-centric Event Recognition in Complex Traffic Scenes
(Springer, 2017)This paper presents a solution for an integrated object-centric event recognition problem for intelligent traffic supervision. We propose a novel event-recognition framework using deep local flow in a fast regionbased ... -
Reducing ICT Carbon Footprints Through Adoption of Green Computing
(Academy of Economic Studies in Bucharest. Department of Economic Informatics and Cybernetics, 2019)A significant economic, environmental and sustainability topic in information and communication technology (ICT) and e-business sectors is green computing. An aspect of green informatics, green computing is gaining attention ... -
Spica and the Annual Cycle of PKS B1322-110 Scintillations
(Oxford University Press (OUP), 2019)PKS B1322–110 is a radio quasar that is located only 8.′5 in angular separation from the bright B star Spica. It exhibits intraday variability in its flux density at GHz frequencies attributed to scintillations from plasma ... -
Fault Ride Through Technique for DFIG-based Wind Turbines Under Grid Three-phase Faults
(IEEE, 2018)In modern power systems with increasing penetration of wind turbines (WTs), improvement of low voltage ride through (LVRT) capability of WTs equipped with doubly-fed induction generators (DFIGs) is an important topic. Thus, ... -
A Cluster-driven Energy Routing Protocol for Optimal Network Lifetime in Ad Hoc Networks
Mobile Ad hoc Network (MANET) is a group of networked mobile devices working in a cooperative manner. Due to usage, these devices quickly run out of battery power in critical situations and consequently fail in packet ... -
A Cox-based Risk Prediction Model for Early Detection of Cardiovascular Disease: Identification of Key Risk Factors for the Development of a 10-year CVD Risk Prediction
(Hindawi Limited, 2019)Background and Objective. Current cardiovascular disease (CVD) risk models are typically based on traditional laboratory-based predictors. The objective of this research was to identify key risk factors that affect the CVD ... -
Social Engineering Attacks and Countermeasures in the New Zealand Banking System: Advancing a User-reflective Mitigation Model
(MDPI, 2018)Social engineering attacks are possibly one of the most dangerous forms of security and privacy attacks since they are technically oriented to psychological manipulation and have been growing in frequency with no end in ...