DrEfthymios Karangelos

Efthymios works at the intersection of cyber-physical electric power systems, stochastic optimisation, and emerging computational approaches, ranging from AI-based decision support to quantum computing. The overarching theme of this research activity is the design of advanced optimisation and analytical frameworks for the secure and economically efficient operation of modern electricity grids. A core objective is to advance computational methods that combine theoretical rigour and methodological novelty with real-world applicability, leveraging synergies between optimisation theory and domain-specific power system expertise.

Current research directions include:

• Security-constrained and multi-stage optimisation for grid operation and planning
• AI/ML-based surrogate modelling and validation for grid management tools
• Probabilistic cascade modelling and risk quantification
• Electricity markets and flexibility mechanisms
• Hybrid classical and quantum optimisation approaches for large-scale energy systems