Project 3 : Intelligent Energy Infrastructure Monitoring by Satellite-based Anomalies Feature Detection

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Project 3: Intelligent Energy Infrastructure Monitoring by Satellite-based Anomalies Feature Detection

The project’s objective is to develop an automated satellite-based anomaly detection monitoring system to avoid/minimise catastrophic disruption of energy supply and socio-economic activities.

Group Members:

  1. Prof. Dato’ Ir. Dr. Norashidah Md Din – Leader
  2. Dr. Mohd Zafri Baharuddin
  3. Dr. Fathoni Usman
  4. Dr. Wong Leong Sing
  5. Prof. Madya Ts. Dr. Normy Norfiza Abdul Razak

Postdoctoral Researchers

  1. Dr. Siti Noratiqah Mohamed Deros
  2. Dr. Murali Gunasekaran
  3. Dr.Mostafa Samadikouchaksaraei
  4. Dr.Macaulay Owen
  5. Dr. Isyaka Abdul Kadir

PhD Students

  1. Mohamad Razin Naim bin Mohd Alias  (Predictive Slope Stability Assessment Using a Hybrid of InSAR and Ensemble Machine Learning
    Techniques for Detecting Ground Deformation Anomalies at Kenyir Dam)
  2.  Nur Hazzarita binti Mohd Nasir ( Framework Development for Assessing the Vulnerability of Infrastructure Assets to Natural Disasters Using Graph Neural Networks and Deep Reinforcement Learning on Integrated Remote Sensing and Spatial Datasets) 
  3. Yousef Jassim Yaghoubi (Co-Captain: A Large-Language-Model based Artificial Intelligence Assisted Control System for Unmanned Surface Vehicle Utilised in Energy Infrastructure Monitoring)