Ajaz Bhat is a senior research associate with Larissa Samuelson and John Spencer in Developmental Dynamics Lab at UEA. He is working on the interaction between language development, visual attention and memory. In particular, his research is trying to ascertain if children can make sense of information spread across their different interactions with the environment and what brain mechanisms could underlie such abilities. Ajaz uses a range of methods such as computational modelling and eye-tracking experiments with children to demystify such brain processes and connect what kids learn to what they see or vice versa.

Ajaz holds a doctorate from the Italian Institute of Technology where he designed a brain-like memory system for robots to learn and reason in a developmental fashion. His PhD work also showed how such developmental learning systems can be applied in industry for online learning of new tasks. Prior to his doctoral studies, he completed a masters in computing from Kashmir, the vale he hails from. His main interests are in computational intelligence: what makes human minds so unique and are there computational explanations to our uniqueness?

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