Profile

Professor Wei Xiang is Founding Chair and Head of Discipline Electronic Systems and Internet of Things Engineering. He is an elected Fellow of the IET (FIET) and a Fellow of Engineers Australia (FIEAust). 

He was responsible for establishing Australia's first Bachelor of Engineering major in Internet of Things Engineering, which was successfully acredited by Engineers Australia in November 2016. Due to his instrumental leadership in establishing Australia’s first accredited Internet of Things Engineering degree program, he was selected into Pearcy Foundation’s Hall of Fame in October 2018. He received the TNQ Innovation Award in 2016, and PearceyEntrepreneurship Award in 2017, and Engineers Australia Cairns Engineer of the Year in 2017. He was a co-recipient of four Best Paper Awards at WiSATS’2019, WCSP’2015, IEEE WCNC’2011, and ICWMC’2009. He has been awarded several prestigious fellowship titles. He has been named a Queensland International Fellow by the Queensland Government, an Endeavour Research Fellow by the Commonwealth Government of Australia, a Smart Futures Fellow by the Queensland Government, and a JSPS Invitational Fellow jointly by the Australian Academy of Science and Japanese Society for Promotion of Science (2014-2015). He is the Vice Chair of the IEEE Northern Australia Section. He was an Editor for IEEE Communications Letters (2015-2017), and is an Associate Editor for Springer’s Telecommunications Systems. He has published over 250 peer-reviewed papers including 3 academic books and 130 journal articles, six of which are ESI Top 1% Highly Cited papers. He has severed in a large number of international conferences in the capacity of General Co-Chair, TPC Co-Chair, Symposium Chair, etc.

His research areas include the Internet of Things, machine learning for the Internet of Things, machine learning for computer vision, and big IoT data analytics. 

PhD Scholarship Opportunities

I am an experienced PhD supervisor, having graduated 12 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), machine learning for IoT, machine learning for computer vision, etc. 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 Apply. Closing deadlines: 31 September 2019.

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.  

Publications

I have over 250 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, six 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 the dblp computer science bibliography and ResearchGate. 

Interests

Research

• Wireless Communications
• Internet of Things
• Image and Video Communications
• Communications Theory
• Coding and Information Theory
• Wireless Sensor Networks

Experience

• 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)

Research Disciplines

• Communications engineering (4006)
• Electronics, sensors and digital hardware (4009)
• Machine learning (4611)

Socio-Economic Objectives

• Information systems, technologies and services (2204)

Awards

• 2017 - Engineers Australia Cairns Regional Engineer of the Year
• 2017 - Pearcey QLD Entrepreneur Award (Highly Commended)
• 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 - Named by the Queensland Science Minster’s as one of the seven Queensland world-glass research leaders
• 2014 - USQ Excellence in Research Award (sole recipient in the open category)
• 2012 - Faculty Research Excellence Award, Faculty of Engineering, University of Southern Queensland
• 2012 - Endeavour Award, Australian Government Department of Education, Employment and Workplace Relations
• 2011 - Best Paper Award, IEEE Wireless Communications & Networking Conference (WCNC), 2011
• 2009 - Best Paper Award, ICWMC, 2009

Fellowships

• 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)

Memberships

• 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

Other

• 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

• Ahmad J, Zia M, Naqvi I, Chattha J, Butt F, Huang T and Xiang W (in press) Machine learning and blockchain technologies for cybersecurity in connected vehicles. WIREs Data Mining and Knowledge Discovery,
• Baker S and Xiang W (2023) Artificial Intelligence of Things for Smarter Healthcare: A Survey of Advancements, Challenges, and Opportunities. IEEE Communications Surveys & Tutorials, 25 (2). pp. 1261-1293
• Haider M, Peyal M, Huang T and Xiang W (in press) Road crack avoidance: a convolutional neural network-based smart transportation system for intelligent vehicles. Journal of Intelligent Transportation Systems,
• Yang W, Xiang W, Yang Y and Cheng P (2023) Optimizing Federated Learning With Deep Reinforcement Learning for Digital Twin Empowered Industrial IoT. IEEE Transactions on Industrial Informatics, 19 (2). pp. 1884-1893
• Zhou X, Xiang W and Huang T (in press) A novel neural network for improved in-hospital mortality prediction with irregular and incomplete multivariate data. Neural Networks,
• Zia M, Xiang W, Vitetta G and Huang T (2023) Deep Learning for Parametric Channel Estimation in Massive MIMO Systems. IEEE Transactions on Vehicular Technology, 72 (4). pp. 4157 -4167
• Baker S, Xiang W and Atkinson I (2022) A computationally efficient CNN-LSTM neural network for estimation of blood pressure from features of electrocardiogram and photoplethysmogram waveforms. Knowledge Based Systems, 250.
• Fang J, Zhou K, Zhang M and Xiang W (2022) Resource Scheduling Strategy for Performance Optimization Based on Heterogeneous CPU-GPU Platform. Computers, Materials & Continua, 73 (1). pp. 1621-1635
• Fang J, Mao Y, Cai M, Zhao L, Chen H and Xiang W (2022) STTAR: A Traffic- and Thermal-Aware Adaptive Routing for 3D Network-on-Chip Systems. Computers, Materials & Continua, 72 (3). pp. 5531-5545
• Fu Y, Guo D, Li Q, Liu L, Qu S and Xiang W (2022) Digital Twin Based Network Latency Prediction in Vehicular Networks. Electronics, 11 (14).
• Fu Y, Du Y, Cao Z, Li Q and Xiang W (2022) A deep learning model for network intrusion detection with imbalanced data. Electronics, 11 (6).

Book Chapters

• Talkhani R, Huang T, Gu S, Guo Z, Zhang G and Xiang W (2023) Deep learning for vehicle safety. In: Deep Learning and Its Applications for Vehicle Networks. CRC Press, Boca Raton, FL, USA, pp. 3-16

More

ResearchOnline@JCU stores 283+ research outputs authored by Prof Wei Xiang from 2009 onwards.

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

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.

Current

• Development of high-level programming tools to improve the robustness of Internet of Things networks. (PhD , Secondary Advisor/AM)
• Massive Multiple-input and Multiple-output (MIMO) Technique for Visible Light Communications (VLC) Systems (PhD , Primary Advisor/AM/Adv)
• Explainable AI for Medical Imaging (PhD , Primary Advisor/AM/Adv)
• Defending against Cyber-attacks targeting AI-enabled Applications in Industry 4.0 (PhD , Secondary Advisor)

Completed

• Development of machine learning schemes for use in non-invasive and continuous patient health monitoring (2021, PhD , Primary Advisor/AM/Adv)
• Deep learning for internet of underwater things and ocean data analytics (2022, PhD , Secondary Advisor/AM)
• Light field reconstruction from multi-view images (2023, PhD , Primary Advisor/AM/Adv)
• Decision Support System for Precision Agriculture using Deep Learning (2023, PhD , Secondary Advisor/AM)
• High efficient tag identification protocols for large-scale RFID systems (2018, PhD , Primary Advisor)
• Simulation and implementation of novel deep learning hardware architectures for resource constrained devices (2023, PhD , Secondary Advisor/AM)

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.