Amirali Khodadadian Gostar

Dr. Amirali Khodadadian Gostar

Senior Lecturer

Details

Open to

  • Masters Research or PhD student supervision

Supervisor projects

  • Fraud Detection in Digital Payment Systems : Adaptive Systems for Longevity
  • 7 Oct 2024
  • Anomaly Detection for in Large Dynamic Networks
  • 15 Jul 2024
  • Computational Modeling for Visual Attention using Eye Gaze Tracking in Dynamic Scene
  • 13 Dec 2023
  • Information Fusion for Multi-Object Tracking in Large-Scale Sensor Network
  • 24 Nov 2023
  • Examining the Challenges and Opportunities in developing dApps for Digital Assets Decentralized Exchange (Marketplace) and Management under Regulatory Constraints
  • 24 Oct 2023
  • Robust Stereo Vision System
  • 26 Apr 2023
  • Towards a Green and Scalable Consensus Algorithm to Mark the New Generation of Cryptocurrencies
  • 29 Nov 2022
  • Swarm Tracking in the Random Finite Set Framework
  • 20 Oct 2022
  • Data-efficient Machine Learning for Robotic Perception and Manipulation
  • 10 Dec 2021
  • Structural Corrosion Detection by High-resolution Image Processing using Deep Learning
  • 23 Jul 2021
  • Effect of Configuration and Spacer Materials on Yield of Direct Contact Membrane Distillation
  • 20 Nov 2020
  • Statistical Information Fusion for Multi-Camera Visual Tracking
  • 18 Jun 2020
  • Anomaly Detection in Machine Vision Applications
  • 17 Mar 2020
  • Tracking of Multiple Interacting Targets in the Random Finite Set Framework
  • 17 Mar 2020
  • Stochastic Geometric Information Fusion for Cooperative Driving
  • 10 Dec 2019
  • Machine Learning for Volumetric Data Analysis of Bread Dough: Meeting the Synchrotron Challenge
  • 2 Jul 2018
  • Multi - Object Tracking in Video using Labeled Random Finite Sets
  • 11 Aug 2017

Teaching interests

Supervisor interests
• Image processing
• Machine learning
• Data analytics
• Multi-object tracking
• Sensor management
• Data-driven manufacturing
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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.