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ExpertiseUpdated on 17 April 2026

Advanced computational modelling and interoperable digital twins for complex systems

Saba Daneshgar

Professor at Universiteit Gent

Gent, Belgium

About

Expertise in the development and application of advanced computational modelling frameworks and interoperable digital twins for complex infrastructure systems. This includes physics-based modelling (e.g. process modelling and CFD), data-driven and hybrid modelling approaches, and the integration of these within automated digital twin pipelines.

A key focus lies on enabling interoperability and scalability through semantic data architectures, including ontologies and knowledge graphs, allowing heterogeneous data sources and models to be seamlessly connected across domains. This supports the development of intelligent, modular and reusable digital twin systems.

The work further encompasses process control and optimisation, real-time monitoring, and scenario-based decision support, enabling more efficient, resilient and sustainable system operation. Applications primarily target complex urban and environmental systems, with a strong emphasis on bridging modelling, data integration and operational decision-making.

Field

  • ENG - Information Science and Engineering
  • ENV - Environment and Geosciences
  • MAT - Mathematics
  • POSTDOCTORAL FELLOWSHIPS: Hosting Postdoctoral Candidates / Secondments / Placements
  • DOCTORAL NETWORKS: Hosting Doctoral Candidates / Secondments / Trainings

Organisation

Universiteit Gent

University

Gent, Belgium

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