About

About Me

Dr Huang is an accredited PhD advisor and an expert in deep learning and wireless communications. He is the principal researcher of the Intelligent Computing and Communications (ICC) Lab. We are looking for self-motivated Ph.D./MPhil candidates to join the lab (see below). 

Before academia, Dr Huang had worked in the industry for over six years. He held various positions, such as senior software engineer, senior data scientist, project team lead and technical authority. Star projects include Inmarsat IsatPhone Pro development, Aircraft Communications Addressing and Reporting System development, and Global Broadband Area Network Modem development.

Research collaboration and Industry collaboration are welcome!

Dr Huang is currently active in the below research areas.

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.

Current Australian Research Council Discovery Project 

  • Project title: Low-cost Sensing Methods and Hybrid Learning Models
  • Funding amount: $450,000 for 3 years (2022, 2023, 2024).
  • Project Team: Professor Wei Xiang; Professor Yi-Ping Phoebe Chen; Dr Tao Huang; Dr Peng Cheng; Dr Tran Khoa Phan; Professor Lajos Hanzo.
  • Summary: This project aims to revolutionise 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 the area of 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.

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].
  • Weiyi Xiong, Jianan Liu, Yuxuan Xia, Tao Huang, Bing Zhu, and Wei Xiang, "Contrastive Learning for Automotive mmWave Radar Detection Points Based Instance Segmentation," 2022, arXiv:2203.06553v2, version 2, DOI: https://doi.org/10.48550/arXiv.2203.06553, accepted by the 2022 IEEE Intelligent Transportation Systems Society Conference, [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 

  • Project: Dr. Jusak Jusak (JCUS), Dr. Tao Huang (JCUA), and Dr. Steven Kerrison(JCUS), Project: Lightweight Blockchain Development for Healthcare IoT, successfully funded ($4911.12) under the JCUS-JCUA Cross-Campus Collaboration Grant Scheme, 2022.
  • 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.

Other information Dr Huang received his PhD degree in Electrical Engineering (Telecommunications) from The University of New South Wales, advised by Professor Jinhong Yuan (IEEE Fellow). He received a master's degree in Sensor System Signal Processing from The University of Adelaide. He received a bachelor's degree in Electronics Information and Engineering from Huazhong University of Science and Technology. Dr Huang received the Australian Postgraduate Award and Engineering Research Award at The University of New South Wales. Dr Huang was an Endeavour Australia Cheung Kong Research Fellow supported by the Australia Government Department of Education. He was a visiting researcher at the Chinese University of Hong Kong. He was a research associate at the University of New South Wales (advised by Professor Jinhong Yuan) and a postdoctoral research fellow at James Cook University (advised by Professor Wei Xiang). In addition, he is the program coordinator for the Master of Engineering (Professional) (Internet of Things and Data Engineering). Dr Haung is a senior member of IEEE, serving the IEEE Northern Australia Section as Young Professionals Affinity Group Chair and Communication Society Chapter Vice-Chair. Dr Huang is a member of the IEEE Computational Intelligence Society and the Communication Society.  

Call for Submission

Security and privacy are always critical issues in wireless communication systems. To tackle these issues, novel cryptography designs, physical layer transmission strategies, network protocols, and related regulations are in high demand. This 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 Shihao Yan (ECU), Prof. Guanglin Zhang (DHU), Prof. Li Sun (XJTU), Prof. Tsz Hon Yuen (HKU), Dr YoHan Park (KMU), Prof. Changhoon Lee (SeoulTech), and myself (JCU). 

Welcome to contribute! Deadline for manuscript submissions: 31 January 2023.

Recent News

  • 27 November 2022 – Our work: Zhengmin Kong, Hui Ouyang, Yiyuan Cao, Tao Huang, Euijoon Ahn, Maoqi Zhang and Huan Liu, “Automated Periodontitis Bone Loss Diagnosis in Panoramic Radiographs Using a Bespoke Two-Stage Detector,” is now accepted by the Computers in Biology and Medicine (IF 6.698).

  • 22 November 2022 – Our work: Majumder Haider, M. K. Peyal, Tao Huang and Wei Xiang, “Road Crack Avoidance: A CNN-based Smart Transportation System for Intelligent Vehicles," is now accepted by the Journal of Intelligent Transportation Systems: Technology, Planning and Operations (IF 3.839).

  • 18 November 2022 – Dr Huang is now an Associate Editor of the IET Communications Journal.

  • 17 November 2022 – 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." 
  • 14 November 2022 – Dr Huang is now a Topical Advisory Panel Member for ‘Networks’ of MDPI Electronics. Link: https://www.mdpi.com/journal/electronics/topic_editors/networks
  • 7 November 2022 – Our work: Shushi Gu, Zichao Yu, Qinyu Zhang and Tao Huang, “Energy-Aware Coded Transmission Strategy for Hierarchical Cooperative Caching Networks,” is now accepted by IEEE Wireless Communications Letters.

  • 4 November 2022 – Our work: Umer Zia, Wei Xiang, G.M. Vitetta and Tao Huang, “Deep Learning for Parametric Channel Estimation in Massive MIMO Systems,” is now accepted by IEEE Transactions on Vehicular Technology.
  • 21 October 2022 – Our project application to the NARDHC Seed Funding Scheme 2022 Application NARDHC00005 succeeded (AUD $49,995). Project team: Dr Stephanie Baker, Dr Euijoon Ahn, Dr Tao Huang, Dr Bronson Philippa, Prof Caryn West, Mr Christopher Rouen. Project: Fusion of wearable and environmental sensors for remote monitoring of health and well-being in elderly populations.
  • 21 October 2022 – Our work: 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," is now accepted by IEEE Transactions on Intelligent Vehicles. Review the work here.
  • 6 October 2022 – Dr Huang, together with colleagues in IoT discipline (Stephanie Baker, Carolyn Diedricks, Yang Du, Jeremy Gordon, Bronson Philippa, Eric Wang) received the 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. The news is on Campus Morning Mail here.
  • 22 August 2022 - Our work: Mengyao Zhang, Tao Huang, Zhaoxia Guo, and Zhenggang He, “Complex-network-based traffic network analysis and dynamics: A comprehensive review,” is now accepted by Physica A (Link).
  • 12 August 2022 - Our work: Umer Zia, Wei Xiang, Tao Huang, and I.H Naqvi, “Deep Learning-aided TR-UWB MIMO System,” is now accepted by the IEEE Transactions on Communications (link).
  • 7 Aug 2022 - Our work: Ke Liu, Tao Huang, and Zhaoxia Guo, "Classification of Pathological Images of Skin Diseases Based on Deep Learning," accepted by the 4th International Conference on Data-driven Optimization of Complex Systems (DOCS2022). This work will be included in IEEE Xplore Digital Library and indexed by EI.
  • 17 June 2022 - Our work: Weiyi Xiong, Jianan Liu, Yuxuan Xia, Tao Huang, Bing Zhu, and Wei Xiang, “Contrastive Learning for Automotive mmWave Radar Detection Points Based Instance Segmentation,” accepted by the 2022 IEEE Intelligent Transportation Systems Society Conference, Review the work here.
  • 24 April 2022 - Our work: Jianan Liu, Weiyi Xiong, Liping Bai, Yuxuan Xia, Tao Huang, Wanli Ouyang, and Bing Zhu, "Deep Instance Segmentation with Automotive Radar Detection Points," is now accepted in IEEE Transactions on Intelligent Vehicles, doi: 10.1109/TIV.2022.3168899. Early access is here.

  • 6 April 2022 - Dr. Huang is invited to be a Program Vice-Chair for the 25th IEEE International Conference on Computational Science and Engineering (2022 IEEE CSE), which will be held later this year at Huazhong University of Science and Technology (HUST), Wuhan China.

  • 9 Feb. 2022 - Our paper: Ruide Li, Jinglu Cui, Tao Huang, Lei Yang, and Shihao Yan, "Optimal Pulse-Position Modulation Order and Transmit Power in Covert Communications," is now accepted by IEEE Transactions on Vehicular Technology, doi: 10.1109/TVT.2022.3151197. Early access from here.
  • More news can be found at the Intelligent Computing and Communications Lab.

Future Students

Since you are now reading this section, you must be interested in the field of Intelligent Computing or Wireless Communications. This is great! Now you need to see whether you have the following pre-requisites:

  • Good mathematical background,

  • Demonstrated critical thinking ability,

  • Demonstrated problem-solving skills, and

  • Strong self-motivation.

If you have all the pre-requisites, then there are two phases of your application. If you are not sure how to contact a potential supervisor, this link may help you.

Phase 1 - Establish Contact 

In this phase, please send Dr. Huang the following documents:

  • Current curriculum vitae (CV)

  • Transcripts and testamurs for all qualifications completed or currently underway

  • Self-evaluation against this scholarship scoring procedure (please justify your score)

  • Proof of English language proficiency (for international applicants only, if you have one)

  • A piece of your most recent writing (if any)

  • List of publications (if any)

  • Research proposal (if any)

Your submitted files and email will be evaluated carefully. Selected applicants will be organized with a presentation, then following a short interview. Successful candidates will move to the next phase.

Phase 2 - Submit Application

Please refer to the Graduate Research School website for more information about How to Apply and information about Scholarships. Note that JCU Scholarships for Higher Degree by Research Candidates are awarded annually on a competitive basis to the top-ranking applicants. Usually, the deadline for the application with a scholarship is the end of September.

Note that Domestic Applicants means Australian Citizens and Permanent Residents, and New Zealand Citizens. International Applicants are all other applicants. For international applicants, please refer to the English language requirement and prepare the required documents.

Students from India

Please send me your GATE score if you have one. The ranking of the universities in India can be found here.

Students from China

You may consider applying for the China Scholarship Council (CSC) funding to support your Ph.D. study or visiting study. Please contact Dr. Huang if you intend to apply for the CSC scholarship.

Useful Links

Teaching
  • 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)
Interests
Professional
  • Senior Member of the Institute of Electrical and Electronics Engineers (IEEE)
Research
  • Internet of Things
  • Wireless Communications
  • Machine Learning
  • Big Data Analytics
  • IoT Privacy and Security
  • Edge/Cloud Computing
  • Image Processing
  • Coding and Information Theory
  • Deep Learning
Experience
  • 2022 to present - Young Professionals Affinity Group Chair, IEEE Northern Australia Section (Cairns)
  • 2022 to present - Communication Society Chapter Vice Chair, IEEE Northern Australia Section (Cairns)
  • 2022 to present - Robotics Competition Committee Member, IEEE Region 10 (Asia Pacific) (Cairns)
  • 2020 to present - Lecturer, James Cook University (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
Honours
Awards
  • 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
  • 2022 - First place winner for the APAC region in the IEEE ComSoc Internet for All competition
  • 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 - Runner-up in the 2nd University Mathematical Modelling Contest (Huazhong University of Science and Technology)
  • 2002 - Single Subject Prize Award (Huazhong University of Science and Technology)
Fellowships
  • 2014 - Endeavour Australia Cheung Kong Research Fellow (The Chinese University of Hong Kong)
Publications

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
More

ResearchOnline@JCU stores 20+ 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.

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)
Summary
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.
Investigators
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)
Keywords
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)
Summary
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.
Investigators
Wei Xiang, Tao Huang, Lei Lei and Mostafa Rahimi Azghadi (College of Science & Engineering)
Keywords
Internet Of Things; big data analytics; marine data; Machine Learning
Supervision

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
  • Deep Learning for Improved Construction Waste Management (PhD , Secondary Advisor)
  • Explainable AI for Medical Applications (PhD , Primary Advisor)
  • Massive Multiple-input and Multiple-output (MIMO) Technique for Visible Light Communications (VLC) Systems (PhD , Secondary Advisor)
Collaboration

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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