Dr. Lei Lei received a B.S. degree in 2001 and a PhD degree in 2006, respectively, from Beijing University of Posts & Telecommunications, China, both in telecommunications engineering. She has more than 80 publications including books and academic papers in international journals and conference proceedings. She serves as the associate editors for the Transactions on Emerging Telecommunications Technologies (ETT) and the IET Communications. She served as the TPC Symposium Co-chair for ICNC 2015 and 2016, and the TPC Track Co-chair for IEEE VTC Fall 2016. She served as the WG3 vice-Chair of Wireless World Research Forum (WWRF) from 2009 to 2011, and the Secretary of the IEEE Communication Society Asia-Pacific Region Chapters Coordination Committee from 2015 to 2017. 

  • EE2201: Circuit Theory (Level 2; CNS)
  • EE2300: Electronics 1 (Level 2; CNS)
  • EE3901: Sensor Technologies (Level 3; CNS)
  • • Internet-of-Things • Mobile cloud/edge computing • Vehicular communication networks • Device-to-device communications
  • 2018 to 2021 - Adjunct Research Professor, Western University (London, Canada)
  • 2011 to 2017 - Professor, Beijing Jiaotong University (Beijing, China)
  • 2014 to 2015 - Visiting Professor, University of Waterloo (Waterloo, Canada)
  • 2008 to 2011 - Wireless Network and Protocol Engineer, China Mobile Research Institute (Beijing, China)
  • 2006 to 2008 - Postdoc, Tsinghua University (Beijing, China)
Research Disciplines
Socio-Economic Objectives
  • 2015 - Best paper award, IEEE/CIC ICCC Conference
  • 2015 - Best paper award, 10th International Conference on Wireless Algorithms, Systems, and Applications, WASA
  • 2016 - IEEE Senior Member

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
Current Funding

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

Dept of Industry, Innovation, Climate Change, Science, Research and Tertiary Education - Innovations Connections

Vibration analysis of mining industry conveyor belt systems: validation of method and pathways to improvement

Indicative Funding
$48,811 over 2 years, in partnership with Rolco Pty Ltd ($48,811)
Equipment failures in the mining industry can cause serious safety hazards and substantial financial losses. An automated, cost-effective monitoring system that could be retrofitted to existing equipment would provide advance warning to operators and reduce the likelihood of unscheduled outages. This project will test and validate a vibration-based monitoring system for conveyor belts and associated equipment. It will also identify improved methods to analyse the vibration data to increase the sensitivity and/or accuracy of the alerts that are generated.
Bronson Philippa, Bruce Belson, Lei Lei and Wei Xiang (College of Science & Engineering)
Vibration Analysis; Signal Processing; Mining

Dept of Industry, Innovation, Climate Change, Science, Research and Tertiary Education - Innovations Connections

Internet of Things and Big Data Analytics for Cairns Marine

Indicative Funding
$50,000 over 2 years (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

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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.

  • Design and Development of a Smart Automated Machine Learning Tool for User Assistance. (PhD , External Advisor)
  • Leveraging IoT technology to Increase Clinical Space Utilisation in the Healthcare Sector (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.

  • 5+ collaborations
  • 4 collaborations
  • 3 collaborations
  • 2 collaborations
  • 1 collaboration
  • Indicates the Tropics (Torrid Zone)

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