Hong Gunn Chew

Dr Hong Gunn Chew

Associate Lecturer

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 interest are in Machine Learning, Autonomous Systems, Cyber Security and Energy Management.

  • “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
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 2012-2016
  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
IV Design Project 2013-2014
  Honours Project 2013-
PG Masters Project (SIP) 2013-2016
  Masters Project (Electronic) 2013-
  Masters Project (Electrical) 2013-
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  • Current Higher Degree by Research Supervision (University of Adelaide)

    Date Role Research Topic Program Degree Type Student Load Student Name
    2018 Co-Supervisor Classifying Network Connected Devices and Applications using Deep Learning Doctor of Philosophy Doctorate Full 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
    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
    2002 - 2003 Treasurer IEEE - Computer Society SA chapter Australia
  • Position: Associate Lecturer
  • Phone: 83131641
  • Email: honggunn.chew@adelaide.edu.au
  • Campus: North Terrace
  • Building: Ingkarni Wardli, floor 3
  • Room: 3 52
  • Org Unit: School of Electrical and Electronic Engineering

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