Hiring!

We are looking for one PhD student to join the ICC lab for the awarded ARC project described below. The application closes on 30 September 2022. See here for detailed information.

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 has been working 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 - Hiring one PhD student at JCU

• 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, 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,  Early Access, 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.

(Click here to view more information or submit your paper.)

Recent News

• 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).
• 11~14 August 2022 - Dr Huang representing the IEEE Northern Australia Section and attending the IEEE Region 10 Students/ Young Professionals/ Women in Engineering / Life Members SYWL (Sound and Young influences for World Leading IEEE) Congress in Jeju Island, Korea.
• 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.

• 24 July 2022 - Dr Huang is invited to serve as a TPC member of the 2022 IEEE International Conference on Trust, Security and Privacy in Computing and Communications (2022 IEEE TrustCOM).

• 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.

• 19 April 2022 - Dr. Huang is invited to serve as a TPC member of the 2022 IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC).

• 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.

• 7 March 2022 - IEEE Region 10 Robotics Competition 2022 is now officially launched and the topic is Robotics for Healthcare. If you are interested, please see more information at http://robocomp.ieeer10.org/. 

• 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.
• 7 Feb. 2022 - Welcome Umer (Ph.D. candidate in wireless communications) arrived at Cairns campus. Umer will be working on intelligent reflective surfaces (IRS).
• 5 Feb. 2022 - Dr. Huang leads the team won the first prize (USD 3000) in the IEEE ComSoc Internet for All competition for the Asia Pacific (APAC) region.
• 1 Feb. 2022 - Welcome Timothy joins the ICC Lab as a Ph.D. candidate and also congratulations on your 1st class honor degree.  Tim will be working on deep learning-based image processing problems.
• 1 Feb. 2022 - Congratulations to ICC Lab member Bienvenido Hiyas Jr., an international Master of Engineering (Professional) (Internet of Things and Data Engineering) student, who is now with the Yabby Sensors & Consulting Company in Sunshine Coast, as a full-time Electronic and IoT Engineer. Well done!
• 20 Jan. 2022 - Dr. Huang is serving on the CSE Research Committee.
• 15 Jan. 2022 - Dr. Huang joins the IEEE Region 10 (Asia Pacific) 2022 Robotics Competition Committee.

• 13 Jan. 2022 - 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.

• Previous 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

• Australian Postgraduate Research Intern (APR.Intern)
• A 20-Year Community Roadmap for Artificial Intelligence Research
• Book: Foundations of Data Science
• Book and Slides: Deep Learning (An MIT Press Book)
• A Useful Deep Learning Resource Site
• Funding opportunities
• Getting to know the basic math symbols
• Why publishing is important for an academic career

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

• Communications engineering (4006)
• Machine learning (4611)

Socio-Economic Objectives

• Communication technologies, systems and services (2201)

Awards

• 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)

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

• Gu S, Sun X, Yang Z, Huang T, Xiang W and Yu K (2022) Energy-aware coded caching strategy design with resource optimization for satellite-UAV-vehicle integrated networks. IEEE Internet of Things Journal, 9 (8). pp. 5799-5811
• Han K, Xiang W, Wang E and Huang T (in press) A novel occlusion-aware vote cost for light field depth estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence,
• Li R, Cui J, Huang T, Yang L and Shihao Y (in press) Optimal pulse-position modulation order and transmit power in covert communications. IEEE Transactions on Vehicular Technology,
• Liu J, Xiong W, Bai L, Xia Y, Huang T, Ouyang W and Zhu B (in press) Deep instance segmentation with automotive radar detection points. IEEE Transactions on Intelligent Vehicles,
• Zhang M, Huang T, Guo Z and He Z (in press) Complex-network-based traffic network analysis and dynamics: A comprehensive review. Physica A: statistical mechanics and its applications,
• Zia M, Xiang W, Huang T and Ijaz Haider N (in press) Deep Learning-aided TR-UWB MIMO System. IEEE Transactions on Communications,
• Gu S, Wang F, Zhang Q, Huang T and Xiang W (2021) Global repair bandwidth cost optimization of generalized regenerating codes in clustered distributed storage systems. IET Communications, 15 (19). pp. 2469-2481
• Huang T, Yuan X, Yuan J and Xiang W (2020) Optimization of data exchange in 5G vehicle-to-infrastructure edge networks. IEEE Transactions on Vehicular Technology, 69 (9). pp. 9376-9389
• Powell L, Lim H, Brown I, Huang T, Munksgaard N, Randall M, Holdsworth J and Cook H (2020) Innovation through collaboration: improving urban water management for a reef council. Water e-journal, 5 (3).
• Shi S, Li Y, Gu S, Huang T and Gu X (2020) Time allocation optimization and trajectory design in UAV-assisted energy and spectrum harvesting network. IEEE Access, 8. pp. 160537-160548
• Abbas R, Shirvanimoghaddam M, Huang T, Li Y and Vucetic B (2019) Novel design for short analog fountain codes. IEEE Communications Letters, 23 (8). pp. 1306-1309

Conference Papers

• Abbas R, Shirvanimoghaddam M, Huang T, Li Y and Vucetic B (2019) Performance analysis of short analog fountain codes. Proceedings of the 2019 IEEE Globecom Workshops. 9-13 December 2019, Waikoloa, HI, USA

More

ResearchOnline@JCU stores 17+ research outputs authored by Dr Tao Huang from 2012 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

• 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)

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.