Mälardalen University

DeepHERO Lab at Mälardalen University, Sweden, develops trustworthy, energy-efficient, and distributed AI technologies for climate-neutral, resilient, and intelligent urban systems. Its research spans adaptive digital twins, physics-informed and guided neural networks, trustworthy AI for security, reliability and robustness, distributed and federated learning, multi-expert AI models, and energy-efficient edge computing. In the context of the DUT Call 2026, DeepHERO contributes AI-driven solutions for smart and resilient energy systems, urban energy flexibility, distributed energy resources, electric mobility, predictive maintenance, anomaly detection, and intelligent monitoring and control. By combining AI, digital twins, and edge/cloud intelligence, the lab supports data-driven optimization and decision-making across interconnected urban energy and mobility infrastructures, contributing to the transition toward climate-neutral and resilient cities. DeepHERO works closely with academic, industrial, and public-sector partners to translate fundamental AI research into scalable solutions for real-world urban environments.