Professor Wei Xiang is the Foundation Professor and Head of Discipline Electronic Systems and Internet of Things Engineering, which is the first of its kind in Australia. He is a Fellow of the IET (FIET), a Fellow of Engineers Australia (FIEAust), and a Senior Member of the IEEE (SMIEEE). 

During 2004 and 2015, he was an Associate Professor with the School of Mechanical and Electrical Engineering, University of Southern Queensland, Toowoomba, Australia. He was a co-recipient of three Best Paper Awards at 2015 WCSP, 2011 IEEE WCNC, and 2009 ICWMC. He has been awarded several prestigious fellowship titles. He was named a Queensland International Fellow (2010-2011) by the Queensland Government of Australia, an Endeavour Research Fellow (2012-2013) by the Commonwealth Government of Australia, a Smart Futures Fellow (2012-2015) by the Queensland Government of Australia, and a JSPS Invitational Fellow jointly by the Australian Academy of Science and Japanese Society for Promotion of Science (2014-2015). In 2008, he was a visiting scholar at Nanyang Technological University, Singapore. During Oct. 2010 and Mar. 2011, he was a visiting scholar at the University of Mississippi, Oxford, MS, USA. During Aug. 2012 and Mar. 2013, He was an Endeavour visiting associate professor at the University of Hong Kong. His research interests are in the broad area of communications and information theory, particularly coding and signal processing for multimedia communications systems.

PhD Scholarship Opportunities

I am an experienced PhD supervisor, having graduated 11 PhD students as principal and co-supervisors. I am interested in receiving inquiries from prospective PhD and Masters by Research candidates, who are interested in the research areas of the Internet of Things (IoT), wireless communications, and image and video communications. Scholarship funding is available through the Australian Postgraduate Awards (APA), the James Cook University Postgraduate Research Scholarships, the Australia Awards, and the Chinese Scholarship Council (CSC).

To apply for a JCU Competitive PhD Scholarship, here is How to ApplyClosing deadlines31 August (international applicants) and 31 October (domestic applicants) 2017.

If you are prospective PhD candidate in a Chinese university, I would strongly encourage you to apply for a China Scholarship Council (CSC) scholarship to pursue your PhD studies at James Cook University. If you are an existing PhD student in a Chinese university, you are welcome to apply for a CSC visiting PhD scholarship. 

I am also supervising two postdoctoral research fellows. If you are a recent PhD graduate and want to pursue a postdoctoral fellowship, opportunities exist through the Australian Research Council (DECRA) and Endeavour Research Fellowship. Please contact me for details.  


I have over 180 publicaitons in refereered journals and peer-reviewed conference proceedings. Most of them are published by the Institute of Electricla and Eletronics Engineers (IEEE), which represents the highest academic standards in the eletrical & eletronic, and telecommunications engineering disciplines. I have published extensively in some world's top-ranked journals in my areas such as IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing, IEEE Transactions on Image Processing, IEEE Transactions on Wireless Communications, IEEE Journal of Selected Areas in Communications, etc. Moreover, four of my publications are rated by the Web of Science ESI (Essential Science Indicators) as Highly Cited Papers (top 1% citation in the chosen field). 

You are welcom to follow my publications at ResearchGate. Some recent publications that have been accepted but not yet formally published are: 

[1] L. Zhang, W. Xiang, and X. Tang, “An efficient bit-detecting protocol for continous tag recognition in mobile RFID systems,” IEEE Transactions on Mobile Computing, accepted for publication on 25 July 2017 (IF = 3.822, ERA 2010 A*).

[2] Y. Wang, L. Ma, Y. Xu, and W. Xiang, “Computationally efficient energy optimization for cloud radio access networks with CSI uncertainty,” IEEE Transactions on Communications, accepted for publication on 27 July 2017 (IF = 4.058, ERA 2010 A*).

[3] Y. Xiao, L. Song, L. Xia, H. Xiao, P. Yang, and W. Xiang, “Performance analysis for the N-continuous precoded SM-OFDM system,” IEEE Transactions on Vehicular Technology, accepted for publication on 11 July 2017 (IF = 4.066, ERA 2010 A).

[4] L. Xiao, Y. Xiao, Y. Zhao, P. Yang, M. D. Renzo, S. Li, and W. Xiang, “Time-domain turbo equalization for single-carrier generalized spatial modulation,” IEEE Transactions on Wireless Communications, accepted for publication on 29 May. 2017 (IF = 4.951, ERA 2010 A).

[5] Y. Peng, P. Wnag, W. Xiang, and Y. Li, “Secret key generation based on estimated channel state information for TDD-OFDM systems over fading channels,” IEEE Transactions on Wireless Communications, accepted for publication on 10 May 2017 (IF = 4.951, ERA 2010 A).

[6] M. Jia, L. Wang, Q. Guo, X. Gu, and W. Xiang, “A low complexity detection algorithm for fixed up-link SCMA system in mission critical scenario,” IEEE Internet of Things Journal, accepted for publication on 26 Apr. 2017 (IF = 7.596).

  • CC3910: Digital Communication Technologies (Level 3; CNS)
  • EG1012: Electric Circuits (Level 1; CNS & TSV)
  • Wireless Communications
  • Internet of Things
  • Image and Video Communications
  • Communications Theory
  • Coding and Information Theory
  • Wireless Sensor Networks
  • 2016 to present - Foundation Professor and Head of Discipline Electronic Systems & Internet of Things Engineering, James Cook University (Cairns, Australia)
  • 2015 - JSPS Invitational Professor, University of Tsukuba (Tsukuba, Japan)
  • 2013 to 2015 - Associate Professor, University of Southern Queensland (Toowoomba, Australia)
  • 2012 to 2013 - Endeavour Visiting Associate Professor, University of Hong Kong (Hong Kong, China)
  • 2009 to 2012 - Senior Lecturer, University of Southern Queensland (Toowoomba, Australia)
  • 2010 to 2011 - Visiting Scholar, University of Mississippi (Oxford, MS, USA)
  • 2006 to 2009 - Principal Advisor (Research, 0.2 FTE), University of Southern Queensland (Toowoomba, Australia)
  • 2008 - Visiting scholar, Nanyang Technological University (Singapore)
  • 2004 to 2008 - Lecturer, University of Southern Queensland (Toowoomba, Australia)
Socio-Economic Objectives
  • 2017 - Pearcey QLD Entrepreneur Award (Highly Commended)
  • 2017 - Engineers Australia Cairns Regional Engineer of the Year
  • 2016 - Tropical North Queensland Innovation Award
  • 2015 - USQ Publication Excellence Award (1st Prize)
  • 2015 - Best Paper Award, 7th International Conference on Wireless Communications and Signal Processing (WCSP’2015), Nanjing, China, Oct. 2015
  • 2014 - USQ Publication Excellence Award (1st Prize)
  • 2014 - USQ Excellence in Research Award (sole recipient in the open category)
  • 2014 - Named by the Queensland Science Minster’s as one of the seven Queensland world-glass research leaders
  • 2012 - Endeavour Award, Australian Government Department of Education, Employment and Workplace Relations
  • 2012 - Faculty Research Excellence Award, Faculty of Engineering, University of Southern Queensland
  • 2011 - Best Paper Award, IEEE Wireless Communications & Networking Conference (WCNC), 2011
  • 2009 - Best Paper Award, ICWMC, 2009
  • 2012 - Endeavour Research Fellow, Australian Government Department of Education, Employment and Workplace Relations
  • 2011 - Queensland International Fellowship, Queensland Government of Australia
  • 2012 to 2016 - Smart Futures Fellow (Mid-Career), Queensland Government of Australia
  • 2015 - Tsinghua Global Scholars Fellow, Tsinghua University, China
  • 2014 to 2015 - JSPS Invitational Fellow, Japanese Society for the Promotion of Science (JSPS)
  • 2016 - Fellow of Engineers Australia
  • 2015 - Fellow of the Institution of Engineering and Technology (IET)
  • 2008 - Senior Member of the Institute of Electrical and Electronics Engineers
  • 2017 - Vice Chair - IEEE Northern Australia Section
  • 2016 - Theo Murphy High Flyers Think Tank Delegate, Australia Academy of Science

These are the most recent publications associated with this author. To see a detailed profile of all publications stored at JCU, visit ResearchOnline@JCU. Hover over Altmetrics badges to see social impact.

Journal Articles
Conference Papers

ResearchOnline@JCU stores 180+ research outputs authored by Prof Wei Xiang from 2009 onwards.

Current Funding

Current and recent Research Funding to JCU is shown by funding source and project.

Department of Agriculture and Water Resources - National Landcare Program: Smart Farming Partnerships Grant

Climate Smart Sugarcane Irrigation Partnerships (CSSIP)

Indicative Funding
$1,586,884 over 5 years
CSSIP will minimise nutrient runoff, improve soil health and increase wetlands water quality by facilitating the adoption of world-class irrigation practices in sugarcane farming systems. Currently, best practice irrigation is assisted by an Irrigation Decision Support Tool (IDST) that provides evidence-based advice. However, IDSTs have not reached their full potential. Firstly, they do not integrate short to medium term weather forecasts (e.g. weekly to multi-weekly forecasts). Secondly, IDSTs do not operate at a spatial scale relevant to farmers. CSSIP will incorporate the Bureau or Meteorology?s new high-resolution climate model into the Irrigation Decision Support Tool. Thirdly, IDSTs require substantial time in manual data entry, which can be alleviated using real-time monitoring via Internet of Things technologies. This will increase irrigation efficiency, reducing excessive runoff into river systems and onto the Reef, and, will help farmers save water and energy costs.
Bronson Philippa, Yvette Everingham, Eric Wang, Stephen Attard and Wei Xiang in collaboration with Geoff Inman-Bamber, Marian Davis, Andrew Schepen, Brock Dembowski, Peter Larsen and Andres Jaramillo (College of Science & Engineering, AgriTech Solutions, Burdekin Productivity Services, Commonwealth Scientific & Industrial Research Organisation, Department of Agriculture, Fisheries and Forestry, Wilmar Sugar Australia and Sugar Research Australia)
Sugarcane; Internet of Things; Irrigation

Huawei Technologies (Australia) Pty Ltd - JCU-Enex NB-IoT Testing and Certification Centre

NB-IoT Testing and Certification

Indicative Funding
Develop Narrowband Internet-of-Things (NB-IoT) testing methods and procedures for NB-IoT end-user terminals (devices) based on NB-IoT Release 13. This will involve detailed research, evaluation and development of processes and procedures for carrying out testing against the 3GPP standard for NB-IoT devices within a framework that enables formal certification under NATA rules; working with external partners towards carrying out an initial NB-IoT device 3GPP certification; and developing a business model and recommendations for the establishment of an NB-IoT Certification Centre.
Wei Xiang in collaboration with Andrew Krockenberger (College of Science & Engineering and Research Infrastructure)
Internet-of-Things (IoT); NB-IoT; Business Case; Testing; Certification; 3GPP

CRC for Developing Northern Australia Scheme - Projects

Applying new technologies to enhance biosecurity and cattle quality

Indicative Funding
$1,084,500 over 3 years (administered by Branir Pty Ltd & Trustee for Booloomani Unit Trust)
The vast natural environment of Northern Australia feeds the cattle industry; however, biosecurity threats have negatively impacted this. Conventional management of such threats such as weeds are not suited to such broad, harsh landscapes. The project will use an Internet of Things network with low-cost environmental sensors, drone mapping and big data analytics to develop and test data-driven, strategic pest management programs - ultimately improving both cattle industry and natural assets.
Ian Atkinson, Wei Xiang, Ron White, Stephanie Duce, Mohan Jacob and Karen Joyce (Research Infrastructure and College of Science & Engineering)
Biosecurity; Cattle; Drones; Weeds; Technology; Internet Of Things

Huawei Technologies (Australia) Pty Ltd - Grant

Joint Huawei-JCU Internet of Things Laboratory

Indicative Funding
To enable the collaboration on opportunities that include: a) establishing a joint Huawei-JCU Internet of Things (loT) Laboratory: b) use the joint loT Lab to promote strong academic-industry collaboration; leveraging on Australia's first loT Engineering degree program run by JCU etc.
Wei Xiang (College of Science & Engineering)
Narrowband (NB); Communication and information; Internet of Things

Department of Industry, Innovation and Science - Innovations Connections

Internet of Things and Big Data Analytics for Cairns Marine

Indicative Funding
$50,000 over 2 years (administered by Cairns Marine), in partnership with Cairns Marine Pty Ltd ($53,109)
This project will assist to analyse the large repository of data held by Cairns marine in relation to its full operations, i.e., from harvest to husbandry, inventory tracking and sales fulfilment. The physical systems currently in use at Cairns Marine are extensive and complex, involving a range of activities in Northern Australia, all activities on site (including R&D) in Cairns and full product (marine animals) stewardship to destination. A deep and informed understanding of data is required by the business to meet its growing global product commitments.
Wei Xiang, Tao Huang, Lei Lei and Mostafa Rahimi Azghadi (College of Science & Engineering)
Internet Of Things; big data analytics; marine data; Machine Learning

Verily Life Sciences - Contract Research

JCU Mosquito Trap Development

Indicative Funding
$544,184 over 3 years
To design and validate traps that are low cost and sensitive enough for Aedes aegypti and Aedes albopictus mosquitoes that they can be deployed for both SIT release surveillance during suppression and elimination operations, and also for sentinel surveillance after elimination.
Scott Ritchie and Wei Xiang (College of Public Health, Medical & Vet Sciences and College of Science & Engineering)
Dengue; Mosquito; trap; Aedes aegypti mosquitoes

QLD Department of Science, Information, Technology and Innovation - Advance Queensland Innovation Partnerships

Smart Ear Tag for Livestock

Indicative Funding
$1,500,000 over 4 years
CeresTag is investing in the development of a smart ear tag for livestock to enable near real-time geo-location and health monitoring. The developed ear tag will be compliant with the current NLIS identification system and cost only marginally more than existing tags. This technology will revolutionise the industry through enhanced animal welfare, improved land management practices and increased profitability. It will form the starting point of block chain traceability that will underpin the continued success of this important component of the Australian economy and help maintain the premium status of Australian livestock products.
Ian Atkinson, Wei Xiang, Bronson Philippa, Ed Charmley, Greg Bishop-Hurley, Nigel Bajema, Scott Mills, Gordon Foyster and Richard Keaney (Research Infrastructure, College of Science & Engineering, Commonwealth Scientific & Industrial Research Organisation and Taggle Systems)
Animal tracking; Internet Of Things; Microelectronics; Geo-location; Precision Agriculture; Beef Cattle

Janco Enterprise Pty Ltd - Contract Research

Janco Enterprise Pty Ltd

Indicative Funding
$10,000 over 2 years
Machine learning sensor network to maintain optimum conditions and collect data for Molten Oxygen Electrolysis (MOE) reactions. Sensor data collection ? Supervisory capacity Machine learning logic for maintaining optimum reaction conditions on a provided hardware network Supervisory capacity Suggestion of industry standards for data collection and fail-safe implementation Suggestion of hardware components and configuration JCU?s scope in this project: Supervise on sensor quality before purchase and calibration logic once installed into PCB Supervise on any errors in the output value and possible causes Supervise on provided network structures for reliably and continuously recording data from multiple sensors to multiple SBC?s to an academic standard Supervise on methods for machine learning collection of data Supervise on methods provided for protecting sensor hardware in extreme conditions Check failsafe methods and data collection failsafes for industry standards requirements Consult on final hardware design for industrial conditional requirements (Industrial standards reports will be gathered prior to consultation, this is a 2nd check precaution) All mathematical modelling, programming, purchasing of hardware and construction shall be completed by JE Pty Ltd
Wei Xiang in collaboration with Kang Han (College of Science & Engineering)
Internet Of Things; Sensory data processing; Machine Learning

Department of Industry, Innovation and Science - Smart Cities and Suburbs Program

Council improving the water quality of the Great Barrier Reef through the use of smart sensors and the IoT for urban water management

Indicative Funding
$360,146 over 2 years (administered by Cairns Regional Council)
The primary aim of this grant application is to bring smart city technology into urban water management to improve urban water quality discharging to the Great Barrier Reef by: 1). Developing IOT technology to manage large data sets obtained from existing smart meters and water quality monitoring probes to make effective management decisions; and 2) Supporting the development of new cost effective, real time water quality monitoring technology. This grant application is for purchase of commercially available water quality monitoring probes suitable for a tropical urban stormwater environment, for supporting the development of new real time monitoring technology for nutrients; for the development of data analysis tools using IOT technology for both smart meter water consumption data, sewer pump station overflow data and stormwater water quality data so that the data is available in real time and can be used for effective decision making.
Wei Xiang, HanShe Lim and Niels Munksgaard in collaboration with Lynne Powell (College of Science & Engineering and Cairns City Council)
IoT infrastructure; Smart water sensors; Real-time water quality monitoring; Great Barrier Reef water quality; Urban water management

Huawei Technologies Co. Ltd - Huawei Innovation Research Program

Light Field Video Compression and Streaming

Indicative Funding
$311,564 over 2 years
Recent advances in light field (LF) photography open a new horizon for digital video streaming, where the single-shot LF capture and glasses-free 3D display capabilities are perfect for a wide range of 3D interactive applications. This proposal aims to propose an interactive 3D VR streaming system based upon the state-of-the-art LF video compression and transmission technology. The proposed new framework and novel algorithms will be able to efficiently compress the enormous amounts of LF-based VR video data, ensure the quality of the views of interest, and achieve low-latency and error-resilient 3D video transmission.
Wei Xiang (College of Science & Engineering)
Virtual reality; Video communications; Light field video

ABRS - National Environmental Science Program (NESP) - Tropical Water Quality Hub (TWQ Hub)

Improving water quality for the Great Barrier Reef and wetlands by better managing irrigation in the sugarcane farming system

Indicative Funding
$458,103 over 3 years
This project will work in partnership with industry, extension, NRM, research and government organisations to develop and deploy an irrigation system that is automatically controlled by remotely accessing feedback from the IrrigWeb decision support tool. Irrigweb provides optimal irrigation schedules on a paddock-by-paddock basis by linking information abut climate, soils and management regimes. If new water quality targets as specified in the revised Burdekin Water Quality Improvement Plan are to by met by 2025, it will be critical to establish pathways that enable industry partners to capitalise on new technologies.
Yvette Everingham, Wei Xiang and Bronson Philippa in collaboration with Stephen Attard (College of Science & Engineering and AgriTech Solutions)

CSIRO - Contract Research

LoRaWAN Rain Gauge Prototype Field Testing

Indicative Funding
This project involves conducting field testing of a LoRaWAN rain gauge prototype that was developed collaboratively between JCU and CSIRO. The prototype system uses cutting-edge low-power long-range IoT communications technology to transmit rainfall data from rain gauges in to a cloud system designed by CSIRO. The objective of the field testing is to determine whether the developed prototype is suitable for a deployed system in the Wet Tropics.
Wei Xiang in collaboration with Han Yu (College of Science & Engineering and Harbin Insitute of Technology)
Internet Of Things; Low-power & wide-area IoT communications; smart agriculture; high-resolution weather modelling

Advisory Accreditation: I can be on your Advisory Panel as a Primary or Secondary Advisor.

These Higher Degree Research projects are either current or by students who have completed their studies within the past 5 years at JCU. Linked titles show theses available within ResearchOnline@JCU.

  • Hardware Implementation of Limited-Precision Machine-Learning Algorithms for Edge Computing (PhD , Secondary Advisor/AM)
  • Enhancing Stroke Survivors' Ability to Persevere with Practice in the Home Environment using Assisted-Living Technology (PhD , Secondary Advisor/AM)
  • Development of high-level programming tools to improve the robustness of Internet of Things networks. (PhD , Secondary Advisor/AM)
  • Internet of underwater things and big marine data analytics (PhD , Secondary Advisor/AM)
  • IOT Based Structural Health Monitoring using MEMS (PhD , Secondary Advisor/AM)
  • End-to-end Multi-Camera Tracking Using Deep Learning (PhD , Primary Advisor/AM)
  • Interactive Light-Field Video Compression and Streaming (PhD , Primary Advisor/AM)
  • State estimation and stabilisation for cyber physical systems (PhD , Primary Advisor/AM)
  • A Wearable Internet of Things (IoT) System for the Real-Time Monitoring of Critical Health and the Provision of Emergency Healthcare (PhD , Primary Advisor/AM)
  • Leveraging IoT technology to Increase Clinical Space Utilisation in the Healthcare Sector (Masters , Secondary Advisor)

The map shows research collaborations by institution from the past 7 years.
Note: Map points are indicative of the countries or states that institutions are associated with.

  • 5+ collaborations
  • 4 collaborations
  • 3 collaborations
  • 2 collaborations
  • 1 collaboration
  • Indicates the Tropics (Torrid Zone)

Connect with me
Share my profile
Share my profile:

Advisory Accreditation
Advisor Mentor
Find me on…
Icon for ORCID profile Icon for Scopus Author page Icon for ResearcherID page Icon for ResearchGate profile Icon for Google Scholar profile

Similar to me

  1. Dr Bronson Philippa
    College of Science & Engineering
  2. Dr Eric Wang
    College of Science & Engineering
  3. Prof Mohan Jacob
    College of Science & Engineering
  4. Dr Lei Lei
    College of Science & Engineering
  5. Dr Mostafa Rahimi Azghadi
    College of Science & Engineering