Research & publications

Projects

• Research project, University of Malta

  ACCLAIMED

  A traditional video-based eLearning environment built with generative AI to create and distribute accessible, immersive content for adult learners.

  Ongoing work as a Research Support Officer within the Department of Artificial Intelligence, covering primary and secondary research, architecture and development, and dissemination to academic and public outlets.

  • Python
  • Next.js
  • PostgreSQL

• Research project, University of Malta

  WAVE

  A virtual-reality environment for water-rescue training, combining AI-driven scenarios with immersive VR to build practical skills safely.

  Built alongside ACCLAIMED under the same Learning Technology research programme, focused specifically on immersive, VR-based water-rescue training.

  • Unreal Engine
  • Python

• PhD in Artificial Intelligence, University of Malta

  PhD thesis — generative AI for educational content

  A platform for educators to model their education domain and generate instructional and assessment content, supporting adaptive, mastery-based learning.

  Supervised by Prof. Matthew Montebello and Dr. Dylan Seychell. The goal is content that adapts to each student’s mastery of the underlying domain model, rather than a fixed curriculum.

  • Python

• MSc dissertation, University of Malta

  A Comparative Study of Algorithms Utilizing Predictive Models in the Scheduling of Shared Demand Responsive Transport

  Predicted rider demand to generate more efficient routes and schedules for a ride-sharing service, comparing passenger-assignment algorithms via simulation.

  Used a frequentist model and a CNN-LSTM model, both implemented in Python, to predict demand. Passenger-assignment algorithms were compared through simulations on the Manhattan road network running on a Java simulator, using data from a public taxi dataset.

  Grade: A.

  • Python
  • Java