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About

Andrea Caroppo’s research sits at the compelling intersection of artificial intelligence, assistive robotics, and geriatric rehabilitation, with a particular focus on improving quality of life for ageing adults and individuals with Parkinson’s disease. Her most influential work, a 2020 study comparing deep learning models to traditional machine learning for facial expression recognition in older adults, has garnered 54 citations and established her as a key voice in affective computing for ageing populations. Caroppo is perhaps best known for her pioneering role in the SI-Robotics project, where she investigates dance—specifically Irish dancing—as a therapeutic intervention for Parkinson’s disease. Her 2021 protocol paper and subsequent 2025 feasibility study, which together have accumulated 27 citations, demonstrate the real-world potential of combining social robotics with movement-based therapy to address motor symptoms like rigidity and balance problems. By bridging cutting-edge AI with compassionate, human-centred rehabilitation, Caroppo’s work offers a powerful vision of technology not as a replacement for human care, but as an enabler of active, joyful ageing. Her contributions are shaping how we think about both machine perception and embodied therapy in healthcare.