Rafael Calvo

Rafael Calvo

Professor
Imperial College London and The University of Sydney

Rafael A. Calvo, PhD (2000) is Professor at Imperial College London and at the University of Sydney. Director of the Wellbeing Technology Lab and of the Software Engineering Group that focuses on the design of systems that support wellbeing in areas of mental health, medicine and education. In 2015 Calvo was appointed a Future Fellow of the Australian Research Council to study the design of wellbeing-supportive technology.

A keen player in the push for more ethical technology design, Rafael is a member of the IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems , a part of the UN’s AI for Good Global Summit , and in 2019 will joined the Leverhulme Centre for the Future of Intelligence .

He is the recipient of five teaching awards, and published four books and over 200 articles in the fields of HCI, wellbeing-supportive design, learning technologies, affective computing, and computational intelligence. His books include Positive Computing: Technology for Wellbeing and Human Potential (MIT Press) and the Oxford Handbook of Affective Computing. He has worked globally at Universities, high schools and professional training institutions including the Language Technology Institute at Carnegie Mellon University, Universidad Nacional de Rosario, and on sabbaticals at the University of Cambridge and the University of Memphis. Rafael has also worked as a technology consultant for projects in the US, Brasil, Argentina and Australia. He is Associate Editor for the Journal of Medical Internet Research – Human Factors (JMIR-HF) and former Associate Editor of the IEEE Transactions on Learning Technologies and IEEE Transactions on Affective Computing.

He has a PhD in Artificial Intelligence applied to automatic document classification and has also worked at Carnegie Mellon University, Universidad Nacional de Rosario, and as a consultant for projects worldwide.

From this author

nighttime aerial photo of a city landscape
Health surveillance can be a positive-sum game

We must design the health surveillance and AI tools needed to control COVID-19 and future pandemics so they don’t psychologically backfire or hinder our opportunities to thrive in the future.

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