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About

Valeria Seidita is a multidisciplinary researcher whose work spans multi-agent systems, robotics, human-robot interaction, and quantum computing applications. Based at the intersection of artificial intelligence and software engineering, she has made sustained contributions to the design and deployment of intelligent robotic systems across nearly two decades of scholarship. Seidita is perhaps best known for her pioneering work on agent-oriented methodologies, particularly the evolution of the PASSI framework into Agile PASSI — a flexible, iterative design process tailored for dynamic research environments. Her early papers on method engineering and agile agent design (collectively exceeding 95 citations) laid important groundwork for how researchers build multi-agent robotic systems efficiently. More recently, she has turned her attention to healthcare robotics, with her highly cited 2020 work on agents supporting physicians (65 citations) and robots addressing the COVID-19 pandemic (33 citations) demonstrating real-world relevance and humanitarian impact. Among her most distinctive recent contributions is the application of quantum computing to swarm robotics modeling — a frontier area reflected in multiple 2022–2023 publications. She has also explored the psychological dimensions of human-automation trust, including the intriguing role of inner speech in shaping human perception of machines, showcasing the impressive breadth and ambition of her research vision.