School of Electrical and Electronic Engineering
Faculty of Engineering, Computer and Mathematical Sciences
Eligible to supervise Masters and PhD (as Co-Supervisor) - email supervisor to discuss availability.
Hong Gunn is a Teaching Fellow with the School of Electrical and Electronic Engineering. He is the electronics practical coordinator and final year projects coordinator in the school. His research interest are in Machine Learning, Autonomous Systems, Cyber Security and Energy Management.
- My Research
- Grants and Funding
- Professional Activities
My research interest are in Machine Learning, Autonomous Systems, Cyber Security and Energy Management.
Date Position Institution name 2020 Lecturer University of Adelaide 2017 - 2019 Associate Lecturer University of Adelaide, Adelaide 2013 - 2017 Teaching Laboratories Manager The University of Adelaide 2012 - 2013 Casual Associate Lecturer (Practical Coordinator) University of Adelaide, Adelaide
Awards and Achievements
Date Type Title Institution Name Country Amount 2016 Teaching Award ECMS Faculty Prize for Excellence in Professional Support of Learning & Teaching University of Adelaide Australia $1000
Language Competency Chinese (Mandarin) Can speak and understand spoken English Can read, write, speak, understand spoken and peer review
Date Institution name Country Title 2013 University of Adelaide, Adelaide Australia Ph.D 1995 University of Tasmania, Hobart Australia B.E., B.Sc.
Year Citation 2019 Millar, K., Cheng, A., Chew, H., & Lim, C. (2019). Using convolutional neural networks for classifying malicious network traffic. In M. Alazab, & M. Tang (Eds.), Deep Learning Applications for Cyber Security (pp. 103-126). Cham, Switzerland: Springer Nature.
2005 Chew, H., Lim, C., & Bogner, R. (2005). An implementation of training dual-nu support vector machines. In L. Qi, K. Teo, & X. Yang (Eds.), Applied optimization - Optimization and control with applications (Vol. 96, pp. 157-182). New York, USA: Springer.
Year Citation 2013 Chew, H. G. (2013). Support Vector Machines with Dual Error Extensions for Target Detection and Object Recognition. (PhD Thesis, The University of Adelaide).
- “Eavesdropping and malicious/deceptive jammer detection using machine learning in wireless sensor networks”, South Korean Agency for Defense Development, $191k, August 2014 – August 2017, 0.10 FTE contribution.
- “Swarm Intelligence and Multi-Mission Coordination in Urban Areas”, Defence Science and Technology Group, $99.9k, March 2017 – August 2018, 0.05 FTE contribution.
- “Swarm Intelligence and Genetic Fuzzy Trees for Threat Avoidance and Target Allocation”, Defence Science and Technology Group, $99.9k, March 2017 – August 2018, 0.05 FTE contribution.
Practical coordinator of these courses:
|Signal and Systems||2012-2016|
|Electronic Circuits M||2016-|
|IV/PG||Distributed Generation Tech||2012-|
Course coordinator of Final Year Projects for Undergraduates (Honours) and Postgraduates (Masters)
|PG||Masters Project (SIP)||2013-2016|
|Masters Project (Electronic)||2013-|
|Masters Project (Electrical)||2013-|
|Masters Project (Engineering)||2020-|
Course coordinator and lecturer of these courses
Date Role Committee Institution Country 2013 - ongoing Member School Advisory Committee University of Adelaide Australia
Date Role Membership Country 1999 - ongoing Member Institute of Electrical and Electronic Engineers United States
Date Office Name Institution Country 2002 - 2003 Treasurer IEEE - Computer Society SA chapter Australia
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