Institution/Company: University of Edinburgh
Areas of Interest: Informatics
Keywords: artificial intelligence (AI) machine learning knowledge representation automated planning epistemic modelling explainable AI
Vaishak Belle is a Chancellor’s Fellow at the School of Informatics, University of Edinburgh, and an Alan Turing Institute Faculty Fellow.
Vaishak’s research is in artificial intelligence, and is motivated by the need to augment learning and perception with high-level structured, commonsensical knowledge, to enable AI systems to learn faster and more accurate models of the world. He is interested in computational frameworks that are able to explain their decisions, modular, re-usable, and robust to variations in problem description. He has co-authored over 40 scientific articles on AI, and along with his co-authors, he has won the Microsoft best paper award at UAI, and the Machine learning journal award at ECML-PKDD. In 2014, he received a silver medal by the Kurt Goedel Society.
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She designs and delivers interactive and visual ‘big picture thinking’ sessions for senior officials. These sessions focus on addressing key policy challenges, teasing out their interdependencies, and situating them in their global context.