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Jonathan Rubin

Jonathan is a member of the Intelligent Systems Laboratory. His interests lie in the application of artificial intelligence and machine learning within mobile environments and he has worked on the design, development and evaluation of a number of intelligent mobile application projects. His research interests include sensor data analytics, intelligent mobile applications, quantified self and mobile health. In particular, he is interested in the use of mobile phone and wearable sensors for activity recognition and behavior understanding.

Jonathan has worked on analyzing and incorporating data obtained from biometric and activity tracking devices, like fitbit, into a smartphone system to support groups in behavior change programs. He is particularly interested in building intelligent mobile applications that combine personal and wearable sensors in order to improve people’s mental and physical well-being.

Jonathan received a PhD from the University of Auckland in New Zealand. His PhD research focused on the use of artificial intelligence for strategy generation in computer games. In particular, his research involved creating and evaluating systems that learned via demonstration and user traces. He produced a collection of computer programs that were able to play the game of poker at an advanced level. His computer poker agents have won international competitions. Jonathan published a comprehensive overview of the work in this field in Artificial Intelligence journal and he won the best application paper award at the 19th International Conference on Case Based Reasoning.




other publications

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Successful performance via decision generalisation in no limit Texas Hold'em

Nineteenth International Conference on Case-Based Reasoning (ICCBR 2011)

On combining decisions from multiple expert imitators for performance

Twenty-Second International Joint Conference on Artificial Intelligence (IJCAI 2011)

Computer poker: A review

Artificial Intelligence