
Dr Hong Gunn Chew
Lecturer
School of Electrical and Electronic Engineering
Faculty of Sciences, Engineering and Technology
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
- Career
- Publications
- Grants and Funding
- Teaching
- Supervision
- Professional Activities
- Contact
My research interest are in Machine Learning, Autonomous Systems, Cyber Security and Energy Management.
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Appointments
Date Position Institution name 2020 - ongoing 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 Competencies
Language Competency Chinese (Mandarin) Can speak and understand spoken English Can read, write, speak, understand spoken and peer review -
Education
Date Institution name Country Title 2013 University of Adelaide, Adelaide Australia Ph.D 1995 University of Tasmania, Hobart Australia B.E., B.Sc. -
Research Interests
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Journals
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Book Chapters
Year Citation 2019 Millar, K., Cheng, A., Chew, H. G., & Lim, C. 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.
Scopus62005 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.
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Conference Papers
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Theses
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:
Level | Course | Years |
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I | EEE IA | 2012-2015 |
EEE IB | 2012-2016 | |
Analogue Electronics | 2016- | |
Electronic Systems | 2016- | |
II | Electronics | 2012-2016 |
Circuit Analysis | 2012-2016 | |
Signal and Systems | 2012-2016 | |
Engineering Electromagnetics | 2012- | |
Electronic Circuits | 2017- | |
Electronic Circuits M | 2016- | |
III/PG | RF Engineering | 2012- |
Control | 2012- | |
III | Project Management | 2016- |
IV/PG | Distributed Generation Tech | 2012- |
Course coordinator of Final Year Projects for Undergraduates (Honours) and Postgraduates (Masters)
Level | Course | Year |
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IV | Design Project | 2013-2014 |
Honours Project | 2013- | |
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
Level | Course | Year |
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III | Project Management | 2019-2020 |
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Current Higher Degree by Research Supervision (University of Adelaide)
Date Role Research Topic Program Degree Type Student Load Student Name 2022 Co-Supervisor Characterisation of devices within private and encrypted networks Doctor of Philosophy Doctorate Full Time Mr Lachlan Connor Simpson 2018 Co-Supervisor Classifying Network Connected Devices and Applications using Deep Learning Doctor of Philosophy Doctorate Part Time Mr Kyle Alexander Millar -
Other Supervision Activities
Date Role Research Topic Location Program Supervision Type Student Load Student Name 2018 - ongoing Co-Supervisor Classifying Network Connected Devices and Applications using Deep Learning The University of Adelaide Doctorate Full Time Kyle Millar
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Committee Memberships
Date Role Committee Institution Country 2021 - ongoing Treasurer IEEE Computer Society South Australia chapter IEEE Australia 2013 - ongoing Member School Advisory Committee University of Adelaide Australia -
Memberships
Date Role Membership Country 1999 - ongoing Member Institute of Electrical and Electronic Engineers United States -
Offices Held
Date Office Name Institution Country 2022 - ongoing Treasurer - Computer Society SA chapter IEEE United States 2002 - 2003 Treasurer - Computer Society SA chapter IEEE United States
Connect With Me
External Profiles