Hai Dong

Dr. Hai Dong

Senior Lecturer

Details

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

Open to

  • Masters Research or PhD student supervision

About

Dr Hai Dong is the leader of the Smart Sensing and Services Research Area, the co-founder and co-director of CloudTech-RMIT Green Cryptocurrency Joint Research Laboratory (GreenCryptoLab), and a member of RMIT Centre for Cyber Security Research and Innovation (CCSRI). He chairs the Deep Edge Intelligence Task Force in the IEEE Computational Intelligence Society.

He published a monograph and 140+ (90+ CORE-A*/A or JCR/SJR Top-10%) research articles in international journals and conferences, including CSUR, TIE, TIFS, TMC, TSC, TSE, AAAI, ASE, ICML, ICSOC, ICWS, etc. He received the Best Research Paper Award in ICSOC 2016 and the 2023 RMIT Award for Research Engagement and Impact - Industry Engagement in Graduate Research. He obtained 5 million+ research funding from the government (including ARC, CRC, and QNRF) and industry as a chief investigator. He served in the organising/program committees of 80+ international conferences, including CIKM, ICDM, ICSOC, ICWS, WWW, etc. He was invited to review 50+ international journals, such as CSUR, TKDE, TOIT, TSC, etc. He is a senior member of the IEEE.

Research fields

  • 4606 Distributed computing and systems software
  • 4604 Cybersecurity and privacy
  • 4605 Data management and data science
  • 4611 Machine learning
  • 4612 Software engineering

Academic positions

  • Senior Lecturer
  • RMIT University
  • Melbourne, Australia
  • 2023 – Present
  • Lecturer
  • RMIT University
  • Melbourne, Australia
  • 2017 – 2022
  • Vice-Chancellor's Research Fellow
  • RMIT University
  • Melbourne, Australia
  • 2014 – 2016
  • Curtin Research Fellow
  • Curtin University
  • Perth, Australia
  • 2012 – 2014
  • Research Associate
  • Curtin University
  • Perth, Australia
  • 2011 – 2012

Supervisor projects

  • Advanced Threat Mitigation for the Internet of Things
  • 22 Jul 2024
  • Research and Design on the Security of Cross chain Protocols: Injecting Safety and Efficiency into Digital Asset Transactions
  • 13 May 2024
  • Distributed data-driven IoT trust prediction
  • 19 Feb 2024
  • Designing a Novel PoST Consensus Protocol for Green Cryptocurrency Platforms
  • 31 Aug 2023
  • Privacy and security in online social networks
  • 27 Jul 2023
  • Quantum Neural Networks algorithm for malware detection
  • 22 May 2023
  • Towards a Green and Scalable Consensus Algorithm to Mark the New Generation of Cryptocurrencies
  • 29 Nov 2022
  • Adaptive and Ubiquitous Trust Framework for Internet of Things Interactions
  • 19 Jul 2022
  • A Regulatory Template Engine for Real-time Constraint Enforcement in Decentralised Finance Platforms
  • 4 Jul 2022
  • Effective and Efficient Point Cloud Data Management
  • 2 Jun 2022
  • Towards a Scalable Consensus Algorithm to Meet the Green Cryptocurrency Requirements
  • 23 May 2022
  • Knowledge-Driven Deep Learning
  • 11 Dec 2021
  • User-Delay-Tolerance-Aware Edge Node Placement Optimization for Cost Minimization
  • 22 Dec 2020
  • Identity Cloning Detection in Social Sensor-Clouds
  • 4 Jan 2019
  • Machine Learning-driven Trust Prediction in Mobile Edge Computing-based Internet of Things Systems
  • 1 Feb 2018
  • Preserving Privacy in Edge Computing
  • 7 Oct 2016
  • Social-Sensor Cloud Services for Scene Reconstruction
  • 1 Sep 2015

Teaching interests

COSC2177 Computer Science Honours Thesis
COSC2179 Minor Thesis/Project
COSC2389 Minor Thesis/Project Part A
COSC2390 Minor Thesis/Project Part B
COSC2413/2426 Web Programming
COSC2460 Computer Science Honours Thesis Part 1
COSC2461 Computer Science Honours Thesis Part 2
COSC2462 Preliminary Computer Science Honours Thesis
COSC2626/2640 Cloud Computing
COSC2757 Cloud Foundations
COSC2803 Programming Studio 1
COSC2821 Cloud Developing
CPT160 Introduction to Computer Systems

Research interests

Service-Oriented Computing, Edge Computing, Blockchain, Cyber Security, Machine Learning, Data Science

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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.