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Primary supervisor Aamir Cheema Co-supervisors Charith Jayasekara Research area Software Systems and Cybersecurity This PhD project focuses on the design and evaluation of hybrid quantum–classical
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Primary supervisor Aamir Cheema Co-supervisors Charith Jayasekara Research area Software Systems and Cybersecurity This PhD project focuses on the design and evaluation of hybrid quantum–classical
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Primary supervisor Pierre Le Bodic Research area Optimisation Mixed-Integer Programming (MIP) solvers are very powerful tools to solve combinatorial problems that arise in many industries. Modern MIP
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currently observed, an intelligent agent can use an internal model of the world to represent its surroundings, anticipate what may happen next, and reason about the consequences of possible actions
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, 2008) Required knowledge Be familiar with Big Data technologies (e.g. Apache Spark, Kafka) Have prior knowledge on or experience in parallel processing or data stream/IoT Have strong programming skills
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to a particular user without an explicit query. Recommender systems have become particularly useful in this information overload era and have played an essential role in many industries including
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to a particular user without an explicit query. Recommender systems have become particularly useful in this information overload era and have played an essential role in many industries including
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connect formal models with observable behaviour. Our group studies cooperation across multi-agent systems and AI, social systems, and biology. Recent work includes evolutionary models of cooperation and
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connect formal models with observable behaviour. Our group studies cooperation across multi-agent systems and AI, social systems, and biology. Recent work includes evolutionary models of cooperation and
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, as given by the Occupational Information Network (O*NET) data-base. Using a subset of these occupations, we survey a group of experts to predict (probabilistically) whether these occupations will be