Ivan Donadello is an academic researcher with a decade of experience in AI, specializing in integrating knowledge representation and machine learning to build virtual agents for process optimization. He holds a PhD from the University of Trento on combining logic and learning for semantic image interpretation and now leads research at the Free University of Bozen-Bolzano. His work spans ontologies, fuzzy logic, neural-symbolic integration, computer vision and XAI, focused on recommending actions that minimize time and cost while remaining human-understandable. He has translated academic ideas into applied virtual coaching for health and well-being at FBK and brings practical software development experience from industry projects using Django and Java stacks. Notably, he favors blending deduction and induction—adding semantics to ML—to create more trustworthy, explainable agents.
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