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

• CC2511: Embedded Systems Design (Level 2; CNS & TSV)
• CC4950: Design Project (Level 4; CNS)
• EE3600: Automatic Control 1 (Level 3; CNS)
• EE4600: Automatic Control 2 (Level 4; 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)

Research Disciplines

• Electronics, sensors and digital hardware (4009)

Socio-Economic Objectives

• Evaluation of health and support services (2002)

Awards

• 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

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

• Dang X, Xiang W, Yuan L, Yang Y, Wang E and Huang T (in press) Deep Unfolding Scheme for Grant-Free Massive-Access Vehicular Networks. IEEE Transactions on Intelligent Transportation Systems,
• Han K, Xiang W, Wang E and Huang T (2022) A novel occlusion-aware vote cost for light field depth estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44 (11). pp. 8022-8035
• Madhukumar N, Wang E, Fookes C and Xiang W (2022) 3-D Bi-directional LSTM for Satellite Soil Moisture Downscaling. IEEE Transactions on Geoscience and Remote Sensing, 60.
• Wang B, Xiang W, Wang E, Peng Q, Gao P and Wu X (2022) Learning-based high-efficiency compression framework for light field videos. Multimedia Tools and Applications, 81 (6). pp. 7527-7560
• Wang B, Peng Q, Wang E, Xiang W and Wu X (2022) User-dependent interactive light field video streaming system. Multimedia Tools and Applications, 81. pp. 1893-1918
• Madhukumar N, Wang E, Zhang Y and Xiang W (2021) Consensus forecast of rainfall using hybrid climate learning model. IEEE Internet of Things Journal, 8 (9). pp. 7270-7278
• Wang E, Attard S, Linton A, McGlinchey M, Xiang W, Philippa B and Everingham Y (2020) Development of a closed-loop irrigation system for sugarcane farms using the Internet of Things. Computers and Electronics in Agriculture, 172.
• Wang B, Peng Q, Wang E, Han K and Xiang W (2019) Region-of-interest compression and view synthesis for light field video streaming. IEEE Access, 7. pp. 41183-41192
• Rana M, Xiang W and Wang E (2018) Smart grid state estimation and stabilisation. International Journal of Electrical Power and Energy Systems, 102. pp. 152-159
• Rana M, Xiang W, Wang E and Li X (2018) Monitoring the smart grid incorporating turbines and vehicles. IEEE Access, 6. pp. 45485-45492
• Rana M, Xiang W, Wang E, Li X and Choi B (2018) Internet of Things infrastructure for wireless power transfer systems. IEEE Access, 6. pp. 19295-19303

Conference Papers

• Wang E, Attard S, McGlinchey M, Xiang W, Philippa B, Linton A and Everingham Y (2019) Smarter irrigation scheduling in the sugarcane farming system using the Internet of Things. Proceedings of the 41st Annual Conference of the Australian Society of Sugar Cane Technologists. In: ASSCT 2019: 41st Annual Conference of the Australian Society of Sugar Cane Technologists, 30 April - 3 May 2019, Toowoomba, QLD, Australia

More

ResearchOnline@JCU stores 28+ research outputs authored by Dr Eric Wang from 2010 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

• Near-infrared spectroscopy as a tool for the study and management of the invasive yellow crazy ant, Anoplolepis gracilipes. (PhD , Secondary Advisor)
• Explainable AI for Medical Imaging (PhD , Secondary Advisor)

Completed

• Light field reconstruction from multi-view images (2023, PhD , Secondary Advisor)
• Decision Support System for Precision Agriculture using Deep Learning (2023, PhD , Primary 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.