Antonio Rago

Antonio Rago is a Researcher at Imperial College London's Department of Computing (Faculty of Engineering). His work focuses on explainable AI (XAI), computational argumentation, and their applications in engineering design, Formula One strategy, and healthcare. He is affiliated with the ADIX, XAI, and Computational Logic & Argumentation research groups.

• Education: PhD (Computational Logic & Argumentation) from Imperial College London (2019), MEng in Automotive Engineering from Loughborough University (2012)
• Professional Experience: Former Race Strategy Engineer at Mercedes AMG Petronas F1 Team (2012-2014), Quantitative Development roles in industry

Research interests span argumentation frameworks, counterfactual explanations, and ethical AI systems. He organizes international workshops like ArgXAI and Arg&App, and co-leads tutorials on Argumentative Explanations in AI at conferences including KR and ECAI.

His publications emphasize robust AI systems, human-centric explanations, and applications in high-stakes domains like motorsport strategy and clinical decision-making. He collaborates with institutions such as Sapienza University of Rome under the UK-Italy Trustworthy AI Programme.