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Hamad Hassan Awan

Hamad Hassan Awan

Research Assistant

Interests:

  • Deep learning
  • circular economy
  • predictive modeling
  • sustainable construction
  • circular economy metrics

Hamad Hassan Awan holds a BS in Civil Engineering, and MS in Transportation Engineering. His work spans developing machine learning models for forecasting performance metrics and material behavior in engineering applications. As a PhD student, his research integrates deep learning and AI-driven analyses to advance circular building construction and develop sustainable solutions.