Skip to main content
placeholder image

Tran, Le Chung Dr

PhD, SMIEEE, Humboldtian, WATTLE Fellow, Senior Lecturer

  • Fellow - Alexander von Humboldt (AvH) Foundation
  • Senior IEEE member - The Institute of Electrical and Electronics Engineers (IEEE)
  • School Adviser for International Students - School of Electrical, Computer and Telecommunications Engineering (University) 2017 - 2020

Overview


Dr Le Chung Tran received the B. Eng. degree with the first-class honour and highest distinction, and the M. Eng. degree with the highest distinction in Vietnam. He received Ph.D. in telecommunications engineering from University of Wollongong, Australia, in 2006. From 1997 to 2012 he was lecturer at Hanoi University of Communications and Transport, Vietnam. Since 2009, he has been with the University of Wollongong, Australia. He has achieved numerous national and overseas awards, including World University Services (WUS) awards (twice), Vietnamese Government’s doctoral scholarship, International Postgraduate Research Scholarship (IPRS), and the prestigious Alexander von Humboldt (AvH) postdoctoral fellowship. His research interests include 5G, IoT, multiple-input multiple-output (MIMO) systems, ultra-wideband (UWB) communications, space-time-frequency processing for wireless and mobile communications, cooperative and cognitive communications, software defined radio (SDR), network coding, wireless personal area networks (WPANs) and wireless body area networks (WBANs), digital signal processing for communications.

Top Publications


Research Overview


    • wireless communications, mobile communications, signal processing for communications
    • full duplex communications, 5G systems
    • cooperative, cognitive communications, and network coding
    • multiple-input multiple output (MIMO), massive MIMO, 3D MIMO, space-time-frequency processing
    • software-defined radio (SDR)
    • ultra-wideband communications (UWB)
    • wireless personal area networks (WPANs), wireless body area networks (WBANs)
    • navigation, localisation

Available as Research Supervisor

Available for Collaborative Projects

Selected Publications


Presentations


Impact Story


  • <p>Underwater mines are a cost-effective tool in asymmetric warfare and are commonly used to block shipping lanes and restrict naval operations. The aim of this research is develop an automatic system based on sonar imaging for locating naval mines and then recognizing their various types. It involves investigating the latest advances in deep learning and artificial intelligence for object detection, image segmentation, and image classification.<br /><br />This on-going research, supported by the <em>NSW Defence Innovation Network </em>(DIN), is conducted in collaboration with <em>Defence and Science Technology Group</em> (DSTG) and a defence software company. The research team includes Assoc. Prof. Son Lam Phung (<em>CI, Technical Lead, Principal Supervisor</em>), Mr Hoang Thanh Le (PhD Student), Mr Luca Russo (PhD student), Dr. Thi N. A. Nguyen (Associate Research Fellow), Senior Prof. Salim Bouzerdoum (CI), Prof. Christian Ritz (CI), and Dr. Le Chung Tran (CI).<br /><br />In this project, we have developed a deep learning-based tool for underwater mine detection. Further discussions are in progress to apply the project outcomes. </p><p><strong>Publication</strong>: H. T. Le, S. L. Phung, P. B. Chapple, A. Bouzerdoum, C. H. Ritz, L. C. Tran, "Deep Gabor neural network for automatic detection of mine-like objects in sonar imagery," <em>IEEE Access</em>, vol. 8, no. 1, pp. 94126-94139, 2020.</p>

Available as Research Supervisor

Potential Supervision Topics


    1. 5G
    2. Wireless Body Area Networks
    3. Massive MIMO
    4. Software Defined Radio
    5. Smart Transportation Systems
    6. Navigation and Localisation

Teaching Activities


Advisees


  • Graduate Advising Relationship

    Degree Research Title Advisee
    Doctor of Philosophy In-Band Full Duplex Communications for Cooperative Wireless Networks Li, Jiaman
    Doctor of Philosophy Sensor Localization using WBAN Channel Properties Yang, Zanru

Outreach And Community Service Activities


  • ● SECTE School Adviser for International Applicants 2016 -
  • SECTE Year-3 School Coordinator 2010 - 2011
  • ● ICTR Research Centre ICTR representative on Postgraduate Studies Committee I (acting) 2010 - 2011
  • ● SECTE Honeywell Engineering Summer School (HESS) Coordinator 2010
  • ● UOW Liaison staff & panel member of University Learning Carnival (Plagiarism session) 2010
  • ● SECTE Year-4 School Coordinator 2009

Top Publications


Research Overview


    • wireless communications, mobile communications, signal processing for communications
    • full duplex communications, 5G systems
    • cooperative, cognitive communications, and network coding
    • multiple-input multiple output (MIMO), massive MIMO, 3D MIMO, space-time-frequency processing
    • software-defined radio (SDR)
    • ultra-wideband communications (UWB)
    • wireless personal area networks (WPANs), wireless body area networks (WBANs)
    • navigation, localisation

Selected Publications


Presentations


Impact Story


  • <p>Underwater mines are a cost-effective tool in asymmetric warfare and are commonly used to block shipping lanes and restrict naval operations. The aim of this research is develop an automatic system based on sonar imaging for locating naval mines and then recognizing their various types. It involves investigating the latest advances in deep learning and artificial intelligence for object detection, image segmentation, and image classification.<br /><br />This on-going research, supported by the <em>NSW Defence Innovation Network </em>(DIN), is conducted in collaboration with <em>Defence and Science Technology Group</em> (DSTG) and a defence software company. The research team includes Assoc. Prof. Son Lam Phung (<em>CI, Technical Lead, Principal Supervisor</em>), Mr Hoang Thanh Le (PhD Student), Mr Luca Russo (PhD student), Dr. Thi N. A. Nguyen (Associate Research Fellow), Senior Prof. Salim Bouzerdoum (CI), Prof. Christian Ritz (CI), and Dr. Le Chung Tran (CI).<br /><br />In this project, we have developed a deep learning-based tool for underwater mine detection. Further discussions are in progress to apply the project outcomes. </p><p><strong>Publication</strong>: H. T. Le, S. L. Phung, P. B. Chapple, A. Bouzerdoum, C. H. Ritz, L. C. Tran, "Deep Gabor neural network for automatic detection of mine-like objects in sonar imagery," <em>IEEE Access</em>, vol. 8, no. 1, pp. 94126-94139, 2020.</p>

Potential Supervision Topics


    1. 5G
    2. Wireless Body Area Networks
    3. Massive MIMO
    4. Software Defined Radio
    5. Smart Transportation Systems
    6. Navigation and Localisation

Teaching Activities


Advisees


  • Graduate Advising Relationship

    Degree Research Title Advisee
    Doctor of Philosophy In-Band Full Duplex Communications for Cooperative Wireless Networks Li, Jiaman
    Doctor of Philosophy Sensor Localization using WBAN Channel Properties Yang, Zanru

Outreach And Community Service Activities


  • ● SECTE School Adviser for International Applicants 2016 -
  • SECTE Year-3 School Coordinator 2010 - 2011
  • ● ICTR Research Centre ICTR representative on Postgraduate Studies Committee I (acting) 2010 - 2011
  • ● SECTE Honeywell Engineering Summer School (HESS) Coordinator 2010
  • ● UOW Liaison staff & panel member of University Learning Carnival (Plagiarism session) 2010
  • ● SECTE Year-4 School Coordinator 2009
uri icon