Pragmatic Approaches to Fundamental Research and Decision Making
We develop algorithms and systems that enable machines to support decision making in complex real-world environments. Our research spans a broad spectrum of domains, tackling problems where intelligent automation makes a real difference.
Active Projects
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Human-centred collaboratIVE MultI-ageNt framework for accelerating software Development and maintenance (HIVEMIND)
Building AI-driven multi-agent framework for responsible, human-centric software development.
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DR-RISE – Demand Response: Residential Innovation for a Sustainable Energy system
DR-RISE develops an integrated residential demand response framework to optimise energy consumption in households while enhancing flexibility, user engagement, and system-wide efficiency in the European energy system.
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ENERGENIUS – Leveraging the energy transition by gamified learning and AI, guided by cross sectoral integrated services and digital twin models to foster accessible and human-centered energy saving experiences
ENERGENIUS develops AI-driven methods for energy analysis and decision support in buildings, enabling intelligent recommendations for energy efficiency, demand flexibility, and decarbonisation through data-driven modelling of consumption patterns and building characteristics.