Andy Song

Associate Professor Andy Song

Associate Professor

Details

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

Open to

  • Masters Research or PhD student supervision

Supervisor projects

  • Artificial intelligence based light alloy design for additive manufacturing
  • 14 Oct 2024
  • An innovative feature extraction approach by addressing adversary attacks in deep convolutional network architectures
  • 17 Oct 2023
  • Developing AI-driven circular economy approaches for sustainable food and waste management systems
  • 27 Jul 2023
  • Countering Adversarial Attacks: Recurrent Forgetting Maxi-Likelihood Feature Extraction Algorithm
  • 30 Mar 2023
  • Towards Efficient Person Re-Identification in the wild
  • 1 Feb 2023
  • Explainable Deep Learning for Medical Image Analysis
  • 3 Nov 2022
  • Obstacle Avoidance in Pedestrian Computer Vision for the Blind
  • 29 Aug 2022
  • BIM enabled decision-making toolkit for optimised green design and construction
  • 28 Jun 2022
  • Efficient Deep Learning Algorithms for Resource-Limited Edge Computing
  • 22 Oct 2021
  • Hybrid and Ensemble-based Time Series Transfer Learning for Building Energy Consumption Prediction
  • 31 Mar 2021
  • Enhancing Generative Artificial Intelligence Algorithms through Evolutionary Computing
  • 26 May 2020
  • Efficient Network Evaluation Strategy for Neural Architecture Search
  • 11 Dec 2019
  • Opportunities for Blockchain Application in Distributed Solar Energy (DSE) Projects
  • 30 Aug 2018
  • Bi-level Hyper-heuristic approaches for Combinatorial Optimisation Problems
  • 29 Feb 2016
  • Typogenetic Design - Aesthetic Decision Support for Architectural Shape Generation
  • 27 Aug 2015

Teaching interests

Machine Learning. Learning in Mulit-agent Environment. Evolutionary computation. Texture Analysis

Research interests

Artificial Intelligence and Image Processing, Information Systems, Applied Mathematics, Distributed Computing, Other Information and Computing Sciences, Civil Engineering
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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.