Ke Deng

Dr. Ke Deng

Senior Lecturer

Details

  • College: School of Computing Technologies
  • Department: School of Computing Technologies
  • Campus: City Campus Australia
  • ke.deng@rmit.edu.au

Open to

  • Masters Research or PhD student supervision

About

Dr Deng was awarded a PhD degree in computer science at The University of Queensland (UQ) in 2007 with focus on data and knowledge engineering. He also holds a Masters degree in Information and Communication Technology (2001) and a Bachelor degree in Electrical Engineering (1994). He was an acting lecturer and course convener in the School of Information Technology and Electrical Engineering at UQ during 2008–2012, and the co-supervisor of one PhD student. He was a postdoctoral research fellow at CSIRO ICT center in 2007. He was an ARC Australian Postdoctoral Fellow during 2010–2012. He was a researcher in Huawei Noah Ark’s Research Lab, Hong Kong from June 2013. The Noah’s Ark Lab conducts state-of-the-art research in data mining and artificial intelligence by exploring theories and building intelligent systems.

More information on Dr Deng's research interests and publications can be found on his personal website: https://sites.google.com/site/rmitdengke/home.

Supervisor projects

  • Convolutional Neural Networks for Estimating Spatial Log-Gaussian Cox Processes

  • 9 Dec 2024
  • Human-in-the-loop reinforcement learning for fake news mitigation
  • 9 Aug 2023
  • Countering Adversarial Attacks: Recurrent Forgetting Maxi-Likelihood Feature Extraction Algorithm
  • 24 Jul 2023
  • Data Stream Classification With Neighbouring Information Forwards And Backwards
  • 21 Feb 2023
  • Learning Integral-based temporal point process on synthetic and real-world datasets
  • 16 Nov 2022
  • Automated Fake News Mitigation Using Reinforcement Learning and Large Language Models
  • 7 Nov 2022
  • Enabling Advanced Human Sensing through Millimetre-wave Radar
  • 17 Aug 2022
  • Stream data management and analysis with reinforcement learning
  • 1 Jul 2021
  • Smart Personal Sensing Using On-Device Machine Learning Based on Resource Constrained Mobile Devices
  • 21 Oct 2020
  • Towards a Fair Future: Advancing Fairness in Recommendation Systems
  • 22 Jan 2020
  • Online Learning Methods for Vehicle Safety in Autonomous Driving
  • 10 Apr 2019
  • From Device-based to Device-free: Human Behaviour Sensing under Interference in Indoor Environment
  • 3 Mar 2019
  • Optimization of Electric Vehicle Facility Deployment and Charging Strategy for Smart Grid
  • 20 Sep 2018
  • Travel Efficiency Investigation: Unravelling Local and Global Insights via Taxi Trajectory Analysis
  • 3 Sep 2018
  • Modelling Dynamics of Urban Mobility for Predictive Surveillance of Crime
  • 4 Jul 2016
  • Discovering Critical Traffic Anomalies from GPS Trajectories for Urban Traffic Dynamics Understanding
  • 29 Feb 2016
  • Efficient Energy Savings for Sensing and Mobile Systems
  • 25 Sep 2015
  • Influence-oriented Community Analysis in Social Networks 
  • 5 Aug 2015

Teaching interests

Undergraduate
COSC1114 Operating System Principles

Supervisor interests
Urban computing, Spatiotemporal data management and analysis, Social networks

Research interests

Information Systems, Artificial Intelligence and Image Processing, Distributed Computing, Other Information and Computing Sciences, Library and Information Studies, Data Format
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Acknowledgement of Country

RMIT University acknowledges the people of the Woi wurrung and Boon wurrung language groups of the eastern Kulin Nation on whose unceded lands we conduct the business of the University. RMIT University respectfully acknowledges their Ancestors and Elders, past and present. RMIT also acknowledges the Traditional Custodians and their Ancestors of the lands and waters across Australia where we conduct our business - Artwork 'Sentient' by Hollie Johnson, Gunaikurnai and Monero Ngarigo.