About Me

Dr Huang holds a Ph.D. in Electrical Engineering from The University of New South Wales, Sydney, Australia. He is the Deputy Head of International Partnerships — Engineering and the Course Coordinator for the Master of Engineering (Professional) and Master of Engineering Management. He is also the Program Coordinator for the Master of Engineering—IoT and Data Engineering.

Dr Huang is a Ph.D. advisor and expert in deep learning and wireless communications. He is the director of the Intelligent Computing and Communications (ICC) Lab. We welcome self-motivated Ph.D./MPhil candidates to join the lab

Before academia, Dr Huang worked in the industry and held positions such as senior software engineer, senior data scientist, project team lead, and technical lead. His star projects included developing Inmarsat IsatPhone Pro, the Aircraft Communications Addressing and Reporting System, and the Global Broadband Area Network Modem.

My Bio and Professional Services       My Research Outputs (Publication, Grants, Talks and Projects)       

Team and Collaboration        Join ICC Lab 

Research collaboration and Industry collaboration are welcome!   

Contact me: tao.huang1@jcu.edu.au

Dr Huang is a Senior Member of IEEE and an Associate Editor of the

He is also a Topical Advisory Panel Member of MDPI Electronics and a Managing Editor of the IEEE R10 Newsletter. Dr Huang is a member of the IEEE Communication Society, IEEE Vehicular Technology Society, IEEE Computational Intelligence Society, and IEEE Industrial Electronics Society.  Dr Huang has served in several international conferences as:

TPC Chair/Vice Chair

  • Vice Chair  - 2023 The 2nd International Symposium on Computing and Artificial Intelligence.

  • Chair - 2019 The 4th EAI International Conference on Smart Grid and Innovative Frontiers in Telecommunications.

Program Vice-Chair 

  • 2022 The 25th IEEE International Conference on Computational Science and Engineering.

Symposium Chair

  • 2023 The 23rd IEEE International Conference on Communication Technology.


CSIRO's Industry PhD Program (Click here to read from GRS Update September 2023)

  • Project: Auto-reforestation Robot Perception System for Complex Tropical Terrain
  • Indicative Funding of $236,000 over 4 years 
  • Year: 2024, 2025, 2026, 2027 
  • Team: Dr Tao (Kevin) Huang (Lead) 

Sandpt to Seed (S2S) Grant, James Cook University

  • Project: Detection of animals with low-cost radar
  • Funding: $48,468
  • Year: 2023
  • Team: Myles Menz, Bronson Philippa, Tao Huang.
  • About: This project will investigate the potential of millimeter-wave imaging radar for the detection of animals in airspace. These radar systems have been developed for the automotive industry but have yet to be assessed for their capability as a detection tool for biological targets such as insects, birds, and bats. There is a huge market gap for low-cost biological sensors in industries such as agriculture, environmental management and conservation, and human health. This project will provide a proof of concept that can then be used to generate further funding and a start-up to further develop this product, with the intention to deploy a network of units as a sensor array.

Northern Australia Regional Digital Health Collaborative (NARDHC)

  • Project: Fusion of wearable and environmental sensors for remote monitoring of health and well-being in elderly populations
  • Funding: $48,063 
  • Year: 2023
  • Team: Stephanie Baker, Euijoon Ahn, Tao (Kevin) Huang, Bronson Philippa, Caryn West, and Christopher Rouen.
  • About:  This project aims to improve healthcare access for aged care in remote areas of Australia by developing an intelligent home health monitoring prototype. The system will use wearable sensors, mmWave technology, and AI to monitor vital signs, physical activity, and environmental conditions. It will analyze the data collected and provide early warning alerts to medical professionals and caregivers. By demonstrating the feasibility of this innovative solution, the project seeks to improve the quality of life for older adults in remote areas and provide peace of mind to caregivers and family members.

Australian Research Council Discovery Project 

  • Project: Low-cost Sensing Methods and Hybrid Learning Models
  • Funding: $450,000
  • Year: 2022, 2023, 2024
  • Team:  Professor Wei Xiang; Professor Yi-Ping Phoebe Chen; Dr Tao (Kevin) Huang; Dr Peng Cheng; Dr Tran Khoa Phan; Professor Lajos Hanzo.
  • About:  This project aims to revolutionize the theory and practice of sensing and monitoring by developing novel Artificial Intelligence and Internet of Things technologies. This project expects to generate new knowledge in Artificial Intelligence of Things by combining sensing, machine learning, and big data analytics. Expected outcomes of this project include novel low-cost sensing methods and new hybrid machine-learning models for predictive sensory data analytics. This should provide significant benefits, such as substantially reduced operating and service costs and improved accuracy for real-time monitoring in the fields where cheap-to-implement and easy-to-service monitoring systems over large geographical areas are imperative.

JCUS-JCUA Cross-Campus Collaboration Grant

  • Project: Lightweight Blockchain Development for Healthcare IoT
  • Funding amount: $4911.12
  • Year: 2022
  • Team: Jusak Jusak (JCUS), Tao Huang (JCUA), and Steven Kerrison(JCUS). 

Sandpt to Seed (S2S) Grant, James Cook University

  • Project: Design low-cost computer-vision-based discharge sensing technology
  • Funding: $79,500
  • Year: 2020
  • Team: Tao Huang and Jason Holdsworth.


Examples of Dr Huang's current research. Click here for a full list of publications. 

Interested in joining the ICC lab? Click: Join the lab.

Smart Sensing 

Dr. Huang developed a prototype of a computer vision-based discharge sensing system in the Smart Catchment Project in collaboration with Cairns Regional Council. The prototype is installed at Saltwater Creek at Cairns.

  • Lynne Powel, HanShe Lim, Iain Brown, Tao Huang, Neils Munksgaard, Mark Randall, Jason Holdsworth, and Helen Cook, "Innovation through collaboration: improving urban water management for a reef council," in Water E-Journal, vol. 5, no. 3, Oct. 2020
  • A report in Magazine: Nicole Nally, "Caring for coral," in StormWater, pp. 26-27 Aug. 2020.

 Image Processing

  • Kang Han, Wei Xiang, Eric Wang, and Tao Huang, "A Novel Occlusion-aware Vote Cost for Light Field Depth Estimation," in IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), August 2021. doi:10.1109/TPAMI.2021.3105523, Early Access.
  • Jianan Liu, Hao Li, Tao Huang, Euijoon Ahn, Adeel Razi, and Wei Xiang, "Unsupervised Representation Learning for 3D MRI Super Resolution with Degradation Adaptation," 2022, arXiv:2205.06891v1, version 1, DOI: https://doi.org/10.48550/arXiv.2205.06891, [PREPRINT].

Object Detection and Tracking

  • Jianan Liu, Liping Bai, Yuxuan Xia, Tao Huang, Bing Zhu, and Qing-long Han, "GNN-PMB: A Simple but Effective Online 3D Multi-Object Tracker without Bells and Whistles," 2022, accepted in IEEE Transactions on Intelligent Vehicles, arXiv:2206.10255v4, version 4, DOI: https://doi.org/10.48550/arXiv.2206.10255, [PREPRINT].
  • Jianan Liu, Weiyi Xiong, Liping Bai, Yuxuan Xia, Tao Huang, Wanli Ouyang, and Bing Zhu, "Deep Instance Segmentation with Automotive Radar Detection Points," in IEEE Transactions on Intelligent Vehicles, 22 April 2022, doi: 10.1109/TIV.2022.3168899, Early access.

Wireless Communications 

  • Umer Zia, Wei Xiang, Tao Huang, and I.H Naqvi, “Deep Learning-aided TR-UWB MIMO System,” in IEEE Transactions on Communications,  vol. 70, no. 10, pp. 6579-6588, Oct. 2022, doi: 10.1109/TCOMM.2022.3199489. (link)

  • Ruide Li, Jinglu Cui, Tao Huang, Lei Yang, and Shihao Yan, "Optimal Pulse-Position Modulation Order and Transmit Power in Covert Communications," in IEEE Transactions on Vehicular Technology, vol. 71, no. 5, pp. 5570-5575, May 2022, doi: 10.1109/TVT.2022.3151197.
  • Shushi Gu, Xinyi Sun, Zhihua Yang, Tao Huang, Wei Xiang and Keping Yu, "Energy-Aware Coded Caching Strategy Design with Resource Optimization for Satellite-UAV-Vehicle Integrated Networks," in IEEE Internet of Things Journal,  vol. 9, no. 8, pp. 5799-5811, Apr. 2022. doi: 10.1109/JIOT.2021.3065664. 
  • Tao Huang, Xiaojun Yuan, Jinhong Yuan, and Wei Xiang, "Optimisation of Data Exchange in 5G vehicle Infrastructure edge networks," in IEEE Transactions on Vehicular Technology, vol. 69, no. 9, pp. 9376-9389, Sept. 2020.

Special Issue Call for Submission

  • Special Issue, "Security and Privacy for Modern Wireless Communication System," 2nd Edition in Electronics MDPI, focuses on addressing the emerging security and privacy issues for modern wireless communication networks. Guest Editors: Dr Tao Huang (JCU), Dr Shihao Yan (ECU), Prof. Guanglin Zhang (DHU), Prof. Tsz Hon Yuen (HKU), Dr YoHan Park (KMU), Prof. Changhoon Lee (SeoulTech), Dr. Jusak Jusak (JCUS).  Welcome to contribute! Deadline for manuscript submissions: 15 February 2024.
  • Sensing, computing, and communications for the intelligent Internet of Things (IoT) involve the combination of technologies and methods used to facilitate communication, data collection, and analysis, as well as decision-making in IoT systems. This Special Issue,  "Intelligent IoT Systems: Challenges and Opportunities in Sensing, Computing, and Communications," in Electronics MDPI, aims to provide a platform for exchanging ideas and knowledge and to advance the understanding of intelligent IoT systems. Guest Editors: Dr A. S. M. Sanwar Hosen (Woosong University), Dr S. M. Riazul Islam (University of Huddersfield), Dr Tao Huang (JCU). Welcome to contribute! Deadline for manuscript submissions: 15 December 2023.
  • [Closed] Special Issue, "Security and Privacy for Modern Wireless Communication System," in Electronics MDPI, focuses on addressing the emerging security and privacy issues for modern wireless communication networks. Guest Editors: Dr Tao Huang (JCU), Dr Shihao Yan (ECU), Prof. Guanglin Zhang (DHU), Prof. Li Sun (XJTU), Prof. Tsz Hon Yuen (HKU), Dr YoHan Park (KMU), Prof. Changhoon Lee (SeoulTech). 

Recent News

  • 24 February 2024 - Our work: Sean Sloan, Raiyan R. Talkhani, Tao Huang, Jayden Engert, William F. Laurance, "Mapping Remote Roads Using Artificial Intelligence and Satellite Imagery," is accepted by Remote Sensing, MDPI.🎉🎉🎉

  • 15 February 2024 - Our work: Boxi Li, Tao Huang, Zhengmin Kong, Lei Chen, Jiajia Yang, and Shikuan Sun, “Discrete Control for State of Charge Balance in DC Microgrids Considering the Disturbance of Photovoltaics,” is accepted by the International Journal of Electrical Power and Energy Systems.🎉🎉🎉

  • 10 February 2024 - Our work: Zilong Mi, Zhengmin Kong, Tao Huang, Peng Shi, Zhenwei Yu, and Li Ding, “Fixed-time hierarchical distributed control for flexible thermostatically controlled loads,” is accepted by the IEEE Systems Journal. 🎉🎉🎉

  • 6 February 2024 - Our work: Xiaowen Huang, Tao Huang, Shushi Gu, Shuguang Zhao, and Guanglin Zhang, "Responsible Federated Learning in Smart Transportation: Outlooks and Challenges," is accepted by the IEEE Internet of Things Magazine. 🎉🎉🎉

  • 3 February 2024 - Our work: Hao Li, Quanwei Liu, Jianan Liu, Xiling Liu, Yanni Dong, Tao Huang, and Zhihan Lv, “Unpaired MRI super-resolution with contrastive learning,” is accepted by the IEEE International Symposium on Biomedical Imaging (ISBI), 2024. 🎉🎉🎉

  • 24 January 2024 - Our work: Shuo Liu, Zhengmin Kong, Tao Huang, Yang Du, Wei Xiang, “An ADMM-LSTM Framework for Short-Term Load Forecasting,” is accepted by Neural Networks. 🎉🎉🎉

Join the ICC Lab 

Interested in joining the ICC lab? Click: Join the lab.

Useful Links

  • CC5501: Privacy and Security in IoT (Level 5; CNS)
  • CC5901: Low-Power and Wide-Area loT Communications Network (Level 5; CNS)
  • EE3700: Communications Systems Principles (Level 3; CNS)
  • EG5200: Career Planning (Level 5; CNS & TSV)
  • SC5200: Career Planning (Level 5; CNS & TSV)
  • Senior Member of the Institute of Electrical and Electronics Engineers (IEEE)
  • IEEE Communication Society Member
  • IEEE Computational Intelligence Society Member
  • IEEE Vehicular Technology Society Member
  • IEEE Industrial Electronics Society Member
  • Mathmatic Modelling
  • Internet of Things (IoT)
  • IoT Privacy and Security
  • Wireless Communications
  • Coding and Information Theory
  • Edge/Cloud Computing
  • Intelligent Computing, Machine Learning, Deep Learning and Applications
  • Big Data Analytics
  • Image/Video Processing (Medical Image / Nature Image)
  • Electronics Systems
  • Smart Vehicles, Intelligent Transportation Systems
  • 2024 to present - Senior Lecturer, James Cook University (Cairns)
  • 2024 to present - Vice-Chair, IEEE Northern Australia Section (Cairns)
  • 2024 to present - Deputy Head of International Partnerships - Engineering, James Cook University (Cairns)
  • 2023 to present - Communication Society Chapter Chair, IEEE Northern Australia Section (Cairns)
  • 2023 to present - Course Coordinator - Master of Engineering, James Cook University (Cairns)
  • 2022 to present - Robotics Competition Committee Member, IEEE Region 10 (Asia Pacific) (Cairns)
  • 2022 to 2023 - Young Professionals Affinity Group Chair, IEEE Northern Australia Section (Cairns)
  • 2020 to 2023 - Lecturer, James Cook University (Cairns)
  • 2022 - Communication Society Chapter Vice Chair, IEEE Northern Australia Section (Cairns)
  • 2021 - Student Branch Councillor Cairns, IEEE Northern Australia Section (Cairns)
  • 2018 to 2019 - Postdoctoral Research Fellow, James Cook University (Cairns)
  • 2016 to 2018 - Senior Data Scientist, Compass Global Markets (Sydney)
  • 2014 to 2015 - Research Associate, University of New South Wales (Sydney)
  • 2014 - Endeavour Australia Cheung Kong Research Fellow, The Chinese University of Hong Kong (Hong Kong)
  • 2013 to 2014 - Research Assistant, The Chinese University of Hong Kong (Hong Kong)
  • 2010 to 2014 - PhD Candidate (Electrical Engineering), The University of New South Wales (Sydney)
  • 2007 to 2009 - Senior Engineer/Team Lead/Technical Authority, DSpace / EMS SATCOM (Adelaide)
  • 2005 to 2007 - Postgraduate Student (Master of Engineering, Sensor System Signal Processing), The University of Adelaide (Adelaide)
  • 2003 to 2005 - Research and Software Engineer, China Electronics Technology Group Corporation (Chengdu)
  • 1999 to 2003 - Undergraduate Student (Electronics Information and Engineering), Huazhong University of Science and Technology (Wuhan)
Research Disciplines
  • 2022 - Supervise the ICC Lab member Umer Zia’s project “IoT-Enabled Smart Farming in Queensland” received an Honorary Mention in the 2022 ComSoc Student Competition "Communications Technology Changing the World."
  • 2022 - First place winner for the APAC region in the IEEE ComSoc Internet for All competition
  • 2022 - IEEE Outstanding Leadership Award
  • 2022 - JCU Citation for Outstanding Contribution to Student Learning for creating an innovative and student-focused curriculum and culture of learning that provides engineering students with job-ready skills in electronics and the Internet of Things
  • 2020 - Certificate of Appreciation for participation in the Workplace Learning Program from St Andrew's Catholic College, Redlynch Valley.
  • 2010 to 2014 - Engineering Research Award (University of New South Wales)
  • 2010 to 2014 - Australian Postgraduate Award (University of New South Wales)
  • 2011 - Postgraduate Research Student Support Conference Travel Grant (University of New South Wales)
  • 2011 - Best Academic Paper Award, IEEE Wireless Communications and Networking Conference. (University of New South Wales)
  • 2007 - Golden Key International Honour Society Membership (The University of Adelaide)
  • 2003 - Excellent Graduate Award (Huazhong University of Science and Technology)
  • 2002 - Single Subject Prize Award (Huazhong University of Science and Technology)
  • 2002 - Runner-up in the 2nd University Mathematical Modelling Contest (Huazhong University of Science and Technology)
  • 2014 - Endeavour Australia Cheung Kong Research Fellow (The Chinese University of Hong Kong)

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
  • Bhope R, Talele K and Huang T (2023) Adaptive Ambiance Mode For Noise Cancelling Headphones. Proceedings of the IEEE Industrial Electronics and Applications Conference. In: IEACon 2023: IEEE Industrial Electronics and Applications Conference, 6-7 November 2023, Penang, Malaysia

ResearchOnline@JCU stores 38+ research outputs authored by Dr Tao Huang from 2012 onwards.

Current Funding

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

CSIRO - CSIRO's Industry PhD Program

Auto-reforestation Robot Perception System for Complex Tropical Terrain

Indicative Funding
$227,272 over 4 years
Planting trees in tropical regions is crucial for mitigating climate change, preserving biodiversity, regulating water systems, protecting soil, and providing economic benefits. However, the terrain in tropical regions is complex, with an uneven surface, slippery nature, dense vegetation, and deep slopes, posing challenges for conventional tree-planting robots. In this project, we will leverage cutting-edge AI and sensor technologies to develop next-generation robot perception systems while considering the robustness, adaptability, and flexibility required for complex tropical terrain. The new robot will improve safety standards and create high-value jobs in operation and maintenance. The project will have far-reaching environmental, economic, and social benefits.
Tao Huang (College of Science & Engineering)
Multi-modal perception; Computer vision; Pattern reorganization; sensors; Complex tropical terrain

Australian Research Council - Discovery - Projects

Low-cost Sensing Methods and Hybrid Learning Approaches for Water Quality Monitoring

Indicative Funding
$50,000 over 3 years (administered by La Trobe University)
This project aims to investigate innovative solutions for low-cost water quality monitoring by utilising state-of-the-art Internet of Things and Artificial Intelligence technologies. This project expects to generate new knowledge in the area of artificial intelligent Internet of Things using interdisciplinary approaches. Expected outcomes of this project include novel low-cost alternative sensing methods and new hybrid learning network models for sensory data predictive analytics. This should provide significant national benefits, such as substantially reduced costs and improved accuracy for real-time monitoring of the Great Barrier Reef.
Wei Xiang, Yi-Ping Phoebe Chen, Tao Huang, Peng Cheng, Tran Khoa Phan and Lajos Hanzo (La Trobe University, College of Science & Engineering and University of Southampton)
Water Quality

Department of Industry - Innovations Connections

Internet of Things and Big Data Analytics for Cairns Marine

Indicative Funding
$50,000 over 1 year (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

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.

  • Evolution and challenges of computer vision and deep learning technologies for recycling mixed construction and demolition waste (PhD , Secondary Advisor)
  • Deep learning-enabled CSIi estimation and detection in modern multi-antenna systems (PhD , Secondary Advisor)
  • Lightweight Self-supervised learning for Image Classification and Object Recognition (PhD , Secondary Advisor)
  • An Ensemble Modelling approach for Water Quality Monitoring in the Great Barrier Reef (PhD , Primary Advisor)
  • Blending Learning Streams: Novel Machine Learning Frameworks for Combining Modalities (PhD , Primary Advisor)
  • Cooperative Sensing and Fusion for Enhanced Perception in Intelligent Vehicle Systems (PhD , Primary Advisor)
  • Facial Expression Detection and Deduction of the Relevant Emotions (PhD , Primary 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)

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