Dr Hong Gunn Chew
Lecturer
School of Electrical and Mechanical Engineering
Faculty of Sciences, Engineering and Technology
Eligible to supervise Masters and PhD - email supervisor to discuss availability.
Hong Gunn is a Lecturer 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 2023 - 2025 Associate Head of Learning and Teaching (operation) University of Adelaide 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.
Scopus112005 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.
WoS9 -
Conference Papers
Year Citation 2023 Simpson, L., Millar, K., Cheng, A., Chew, H. G., & Lim, C. C. (2023). A Testbed for Automating and Analysing Mobile Devices and Their Applications. In Proceedings - International Conference on Machine Learning and Cybernetics (pp. 201-208). IEEE.
2023 Robertson, W., Yung, W. K., Hall, H., Chew, H. G., & Missingham, D. (2023). Honours project marking of seminar and expo assessments with a robust statistical approach. In Proceedings of the 34th Australasian Association for Engineering Education Annual Conference. Gold Coast, QLD, Australia. 2022 Millar, K., Simpson, L., Cheng, A., Chew, H. G., & Lim, C. (2022). Detecting Botnet Victims Through Graph-Based Machine Learning. In 2021 International Conference on Machine Learning and Cybernetics (ICMLC) Vol. 2021-December (pp. 6 pages). online: IEEE.
Scopus12022 Millar, K., Cheng, A., Chew, H. G., & Lim, C. (2022). Clustering Network-Connected Devices Using Affiliation Graphs. In 2021 International Conference on Machine Learning and Cybernetics (ICMLC) Vol. 2021-December (pp. 7 pages). online: IEEE.
Scopus22020 Millar, K. A., Cheng, A., Chew, H. G., & Lim, C. C. (2020). Characterising Network-Connected Devices Using Affiliation Graphs. In IEEE/IFIP Network Operations and Management Symposium (pp. 1-6). online: IEEE.
Scopus3 WoS12020 Millar, K., Cheng, A., Chew, H., & Lim, C. C. (2020). Operating System Classification: A Minimalist Approach. In 2020 IEEE International Conference on Machine Learning and Cybernetics (ICMLC) Vol. 2020-December (pp. 143-150). online: IEEE.
Scopus62018 Millar, K. A., Cheng, A., Chew, H. G., & Lim, C. C. (2018). Deep learning for classifying malicious network traffic. In Proceedings of the 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2018), as published in Trends and Applications in Knowledge Discovery and Data Mining Vol. 11154 (pp. 156-161). Switzerland: Springer.
Scopus9 WoS72017 Millar, K., Smit, D., Page, C., Cheng, A., Chew, H., & Lim, C. (2017). Looking deeper: Using deep learning to identify internet communications traffic. In Proceedings of the 2017 Australasian Conference of Undergraduate Research, as published in Macquarie Matrix: Special edition, ACUR 2017 Vol. 6.1 (pp. 124-144). Adelaide, Australia: Macquarie University. 2016 Young, B., Ertugrul, N., & Chew, H. (2016). Overview of optimal energy management for nanogrids (end-users with renewables and storage). In Proceedings of the 2016 Australasian Universities Power Engineering Conference, AUPEC 2016 (pp. 6 pages). Brisbane, AUSTRALIA: IEEE.
Scopus9 WoS22004 Chew, H., Lim, C., & Bogner, R. (2004). Dual-nu support vector machines and applications in multi-class image recognition. In A. Rubinov, & M. Sniedovich (Eds.), Proceedings of the 6th International Conference on Optimization: Techniques and Applications 2004 (pp. CD-ROM 1-CD-ROM 11). CD-ROM: University of Ballarat. 2001 Chew, H., Lim, C., & Bogner, R. (2001). On initialising nu-Support Vector Machine Training. In D. Li (Ed.), Proceedings of the 5th International Conference on Optimization: Techniques and Applications (pp. 1740-1747). HONG KONG: ICOTA. 2001 Chew, H., Bogner, R., & Lim, C. (2001). Dual v-support vector machine with error rate and training size biasing. In V. John Matthews (Ed.), Proceedings of IEEE Signal Processing Society International Conference on Acoustics, Speech, and Signal Processing 2001 (pp. CDROM 1-CDROM 4). CD-ROM: IEEE SIGNAL PROCESSING SOCIETY.
2001 Chew, H. G., Bogner, R. E., & Lim, C. C. (2001). Dual ν-support vector machine with error rate and training size biasing. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings Vol. 2 (pp. 1269-1272). SALT LAKE CITY, UT: IEEE.
Scopus71 WoS392001 Chew, H., Bogner, R. E., & Lim, C. (2001). Dual nu-support vector machine with error rate and training size biasing. In 2001 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS I-VI, PROCEEDINGS (pp. 4041). SALT LAKE CITY, UT: IEEE. 2000 Chew, H., Crisp, D., Bogner, R., & Lim, C. (2000). Target detection in radar imagery using support vector machines with training size biasing. In J. Wang (Ed.), Proceedings of ICARCV 2000 - Sixth International Conference on Control, Automation, Robotics and Vision (pp. CD). Singapore: School of Electrical & Electronic Engineering, NTU. -
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.
Course coordinator and lecturer of these courses
Level | Course | Year |
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III | Computer Architecture | 2023- |
III | Research Methods and Project Management | 2021-2022 |
III | Project Management | 2019-2020 |
Lecturer of these courses:
Level | Course | Year |
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I | Digital Electronics | 2021- |
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- | |
Digital Electronics | 2021- | |
II | Electronics | 2023- 2012-2016 |
Circuit & Systems | 2023- | |
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 | 2012-2019 | |
III | Project Management | 2016-2020 |
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 (EEE) | 2013-2014 |
Honours Project (EEE) | 2013-2021 | |
Honours Project (Engineering) co-coordinator |
2022- | |
PG | Masters Project (SIP) | 2013-2016 |
Masters Project (Electronic) | 2013- | |
Masters Project (Electrical) | 2013- | |
Masters Project (Engineering) | 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 -
Past Higher Degree by Research Supervision (University of Adelaide)
Date Role Research Topic Program Degree Type Student Load Student Name 2018 - 2022 Co-Supervisor Graph-Based Machine Learning for Passive Network Reconnaissance within Encrypted Networks Doctor of Philosophy Doctorate Part Time Mr Kyle Alexander Millar
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Committee Memberships
Date Role Committee Institution Country 2023 - ongoing Member School Advisory Board (EME) The University of Adelaide Australia 2022 - ongoing Member SET Faculty HSW Committee The University of Adelaide Australia 2021 - ongoing Treasurer IEEE Computer Society South Australia chapter IEEE Australia 2019 - 2022 Member ECMS Faculty HSW Committee The University of Adelaide Australia 2013 - 2021 Member School Advisory Committee University of Adelaide Australia -
Memberships
Date Role Membership Country 2019 - ongoing Member Australasian Association for Engineering Education Australia 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 2019 - ongoing Health and Safety Representative The University of Adelaide Australia 2002 - 2003 Treasurer - Computer Society SA chapter IEEE United States
Connect With Me
External Profiles