School of Engineering, Computer and Mathematical Sciences - Te Kura Mātai Pūhanga, Rorohiko, Pāngarau
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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LPWAN Key Exchange: A Centralised Lightweight Approach
The Internet of Things (IoT) is one of the fastest emerging technologies in the industry. It includes diverse applications with different requirements to provide services to users. Secure, low-powered, and long-range ... -
A Novel Generalised Model for Residential Energy Management System
(Highlights of Science, 2022)Disaggregated data is often used to model the cost-benefit of residential energy management systems. However, obtaining such data is time-intensive and monetarily expensive. This hinders the depth of analysis that can be ... -
GenGIS: A Geospatial Information System for Genomic Data
(Cold Spring Harbor Laboratory Press, 2009)The increasing availability of genetic sequence data associated with explicit geographic and ecological information is offering new opportunities to study the processes that shape biodiversity. The generation and testing ... -
Design of a PV‐fed Electric Vehicle Charging Station with a Combination of Droop and Master‐slave Control Strategy
Electric vehicles (EVs) are becoming essential elements for both the transport and power sectors. Consequently, they need a suitable charging infrastructure at the same time. Electric vehicle charging stations (EVCS) ... -
The Potential for Rooftop Photovoltaic Systems in Nepal
Nepal possesses a good solar resource, and there has been increasing interest in the use of photovoltaic systems. About 1.1 million solar home systems, rated at nearly 30 MWp, have been installed across Nepal. With the ... -
Prediction of Tinnitus Treatment Outcomes Based on EEG Sensors and TFI Score Using Deep Learning
Tinnitus is a hearing disorder that is characterized by the perception of sounds in the absence of an external source. Currently, there is no pharmaceutical cure for tinnitus, however, multiple therapies and interventions ... -
Adaptable Socio-cyber Physical Systems for Supporting Disaster
(School of Psychology, Massey University, 2022)Effective disaster response highly depends on disaster types, scale, and attributes of disaster affected regions. Although deeply interconnected, social, cyber and physical aspects are usually not considered together when ... -
Inverse MultiView II: Microarcsecond Trigonometric Parallaxes for Southern Hemisphere 6.7~GHz Methanol Masers G232.62+00.99 and G323.74−00.26
(IOP Publishing, 2022)We present the first results from the Southern Hemisphere Parallax Interferometric Radio Astrometry Legacy Survey (\spirals): 10μas-accurate parallaxes and proper motions for two southern hemisphere 6.7 GHz methanol masers ... -
An Intrinsic Human Physical Activity Recognition from Fused Motion Sensor Data Using Bidirectional Gated Recurrent Neural Network in Healthcare
(SCITEPRESS - Science and Technology Publications, 2022)An intrinsic bi-directional gated recurrent neural network for recognising human physical activities from intelligent sensors is presented in this work. In-depth exploration of human activity data is significant for assisting ... -
A Bi-Level Security Constrained Model for Optimal Flexibility Operation
(Elsevier, 2022)Aggregated distributed energy resources (DER) units in the distribution networks are utilized to support flexibility services in modern grids. To ensure modern grid security, active and reactive flexibility operation must ... -
Recent Updates on the Maser Monitoring Organisation
(Sissa Medialab, 2022)The Maser Monitoring Organisation (M2O) is a research community of telescope operators, astronomy researchers and maser theoreticians pursuing a joint goal of reaching a deeper understanding of maser emission and exploring ... -
An Overview of the Oscillating Water Column (OWC) Technologies: Issues and Challenges
There is a vast amount of energy available in ocean waves which can contribute to provide the electricity supply specially for countries surrounded by the ocean. This paper provides background knowledge in different ... -
A 3D Cuboid Image Encryption Algorithm Based on Controlled Alternate Quantum Walk of Message Coding
In order to solve various security risks faced by image privacy protection, we propose a 3D cuboid image encryption scheme based on message-encoded controlled alternate quantum walks. Firstly, we calculated the initial ... -
Prediction of Natural Gas Consumption in Bahçeşehir Using Machine Learning Models
(Association for Information Systems, 2021)Accurate prediction of natural gas consumption is of great importance for supply-demand balances and investments. This paper aims to utilize and compare the performance of multiple powerful machine learning algorithms to ... -
The State of Big Data Reference Architectures: A Systematic Literature Review
(Institute of Electrical and Electronics Engineers (IEEE), 2022)Big Data (BD) is a nascent term emerged to describe large amount of data that comes in different forms from various channels. In modern world, users are the ceaseless generators of structured, semi-structured, and unstructured ... -
Improved Handshaking Procedures for Transport Layer Security in Software Defined Networks
(IEEE, 2021)Software defined networking (SDN) has emerged as a new technology to enhance the flexibility, resilience, and automated centralized management of a network. Recently several reports have identified possible vulnerabilities, ... -
Digitisation of Conventional Water Meters Using Automated Number Recognition
(IEEE, 2021)It is desired to enhance traditional mechanical water meters with automatic meter reading (AMR) in the era of Internet of Things (IoT), In this paper, we propose and implement an add-on module using optical character ... -
A Blockchain-Based Security Scheme for Vehicular Ad Hoc Networks in Smart Cities
(IEEE, 2021)The development of Vehicular Ad Hoc Networks (VANET) has brought many advantages to facilitate the deployment of the Intelligent Transportation System (ITS). However, without proper protection, VANETs can be vulnerable to ... -
Energy Business Initiatives for Grid-Connected Solar Photovoltaic Systems: An Overview
An overview of the adoption extent of the energy business models around the world was undertaken by considering both the developed and developing countries, with the emphasis on the customer-side renewable energy business ... -
Multi-Class Skin Lesions Classification Using Deep Features
Skin cancer classification is a complex and time-consuming task. Existing approaches use segmentation to improve accuracy and efficiency, but due to different sizes and shapes of lesions, segmentation is not a suitable ...