About

Dr Eric (Gengkun) Wang received his B.Eng. degree in mechanical engineering and his M.Eng. degree in mechatronic engineering from the University of Science and Technology, Beijing, China, in 2006 and 2009, respectively. He completed his PhD in telecommunications engineering from the University of South Queensland, Australia. He has been working as a Post-Doctoral Research Fellow with the School of Electrical and Mechanical, USQ for two and a half years. He has authored more than 20 high quality papers, and participated in many national and international research projects. He was the runner-up in The Asia-Pacific Robot Contest (ABU Robocon) 2006, and received the best paper award from the IEEE Wireless Communications and Networking Conference, Cancun, Mexico, in 2011.

Teaching
  • CC3650: Digital Control and Automation (Level 3; CNS)
  • EG1002: Computing and Sensors (Level 1; CNS)
Interests
Professional
  • Mechanical design
  • Software programming
  • Graphic design
Research
  • 3D imaging and video
  • Light field
  • Virtual reality
  • Telemedicine technology
  • Auto-irrigation
  • Internet of Things
Teaching
  • Matlab programming
  • Digital control systems
  • Digital system design
Experience
  • 2014 to 2016 - Postdoc Research Fellow, University of Southern Queensland (Toowoomba, Australia)
  • 2009 to 2010 - Software Engineer, ZBL Tech. (Beijing, China)
Honours
Awards
  • 2016 - Publication Excellent Award, 3rd Place, University of Southern Queensland
  • 2014 - Publication Excellent Award, 1st Place, University of Southern Queensland
  • 2011 - Best Paper Award at IEEE Wireless Communications and Networking Conference, Cancun, Mexico, in 2011
  • 2006 - Runner-up in The Asia-Pacific Robot Contest (ABU Robocon) 2006
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
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ResearchOnline@JCU stores 19+ research outputs authored by Dr Eric Wang from 2010 onwards.

Current Funding

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

Department of Agriculture and Water Resources - National Landcare Program: Smart Farming Partnerships Grant

Climate Smart Sugarcane Irrigation Partnerships (CSSIP)

Indicative Funding
$1,586,884 over 5 years
Summary
CSSIP will minimise nutrient runoff, improve soil health and increase wetlands water quality by facilitating the adoption of world-class irrigation practices in sugarcane farming systems. Currently, best practice irrigation is assisted by an Irrigation Decision Support Tool (IDST) that provides evidence-based advice. However, IDSTs have not reached their full potential. Firstly, they do not integrate short to medium term weather forecasts (e.g. weekly to multi-weekly forecasts). Secondly, IDSTs do not operate at a spatial scale relevant to farmers. CSSIP will incorporate the Bureau or Meteorology?s new high-resolution climate model into the Irrigation Decision Support Tool. Thirdly, IDSTs require substantial time in manual data entry, which can be alleviated using real-time monitoring via Internet of Things technologies. This will increase irrigation efficiency, reducing excessive runoff into river systems and onto the Reef, and, will help farmers save water and energy costs.
Investigators
Bronson Philippa, Yvette Everingham, Eric Wang, Stephen Attard and Wei Xiang in collaboration with Geoff Inman-Bamber, Marian Davis, Andrew Schepen, Brock Dembowski, Peter Larsen and Andres Jaramillo (College of Science & Engineering, AgriTech Solutions, Burdekin Productivity Services, Commonwealth Scientific & Industrial Research Organisation, Department of Agriculture, Fisheries and Forestry, Wilmar Sugar Australia and Sugar Research Australia)
Keywords
Sugarcane; Internet of Things; Irrigation

QLD Department of Science, Information, Technology and Innovation - Advance Queensland Ignite Ideas Fund - Contract Research

Automated Catch'n'Release Anchor Retrieval Device Reliability Test and Materials Research

Indicative Funding
$18,200 (administered by Kahest Pty Ltd)
Summary
The Catch'n'Release Anchor Retrieval Device provides the safest and most sustainable way to retrieve your anchor. Specifically designed for recreational vessels, the device is easy to attach and in just seconds the anchor is pulled up the same way it went down. The device is designed to be used every time you head out on the boat and serves to protect precious marine habitats by minimising damage while promoting a safet boating experience. However, to prove its reliability, the device will have to pass thousands of connect and disconnect test cylces, which is apparantly not viable via manual operation. Therefore, this project aims to develop a solution for automated Catch'n'Release Anchor Retrieval Device reliability test, which can perform the connect-disconnect process automatically thousands of times. On top of that, corrosion and braking tests will be also introduced between every 500 test cycles to simulate the practical usage cases of this device.
Investigators
Eric Wang (College of Science & Engineering)
Keywords
Automation; defect testing; Programming logic controller

TCB Innovations Pty Ltd - Contract Research

Virtual Reality 3D First Aid Training Scene Capture Solution

Indicative Funding
$5,500
Summary
To provide a much more immersive experience for first aid training, the funding body - Rescue Swag is seeking a solution to replace the conventional 2D first aid scene capture solution. This project is aiming at design a 3D stereoscopic shooting solution using the high definition camera, including both system design, hardware and software solutions. At the end of this project, a system will be experience, and improve the training outcomes.
Investigators
Wei Xiang and Eric Wang (College of Science & Engineering)
Keywords
Virtual Reality; First aid training; First person view
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
  • State estimation and stabilisation for cyber physical systems (PhD , Secondary Advisor)
  • IOT Based Structural Health Monitoring using MEMS (PhD , Primary Advisor)
  • Interactive Light-Field Video Compression and Streaming (PhD , Secondary Advisor)
  • End-to-end Multi-Camera Tracking Using Deep Learning (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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  4. Dr Mostafa Rahimi Azghadi
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  5. Prof Wei Xiang
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