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About

Barbara Re is an innovative researcher working at the intersection of process management, robotics, and digital systems engineering. Her work focuses on three interconnected domains: Business Process Management (BPM), multi-robot systems, and digital process twins — areas where she has made genuinely pioneering contributions. Re's most influential work introduces a BPMN-driven framework for Multi-Robot System development (26 citations), establishing a formal bridge between process modeling languages and autonomous robotic coordination. This contribution has resonated strongly with both the robotics and BPM communities. Complementing this, her research on digital process twins explores how executable process models can monitor and analyze real-time system behavior, with multiple papers advancing this emerging paradigm (11 and 7 citations respectively). More recently, Re has turned her attention to process mining applied to robotic systems — an ambitious frontier that involves extracting meaningful behavioral insights from complex multimodal robotic data. Her 2025 publications on multimodal activity recognition and robotic datasets signal a forward-looking research agenda integrating zero-shot learning with process analysis. Collectively, her work addresses a critical gap: making autonomous and robotic systems more interpretable, governable, and process-aware — a contribution of growing relevance as industrial automation continues to accelerate.