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Publications: Ferrer-Mestres, J., Dietterich, T. G., Buffet, O., & Chades, I. (2020, June). Solving k-mdps. In Proceedings of the International Conference on Automated Planning and Scheduling (Vol. 30, pp. 110
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role in fostering a safe and compliant work environment by ensuring adherence to operational protocols, equipment maintenance schedules, and safety guidelines. This highly collaborative role supports
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Anomaly detection is an important task in data mining. Traditionally most of the anomaly detection algorithms have been designed for ‘static’ datasets, in which all the observations are available
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This project will investigate and develop the ways in which AI algorithms and practices can be made transparent and explainable for use in law enforcement and judicial applications The Faculty
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as networks or graphs in the hope of reasoning about them - but the tools that we have for understanding such network structured data (whether algorithmic analytics or visualisation tools) remain crude
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Connected Autonomous Vehicle (MCAV) team. Required knowledge Artificial Intelligence Machine learning Software Testing Genetic Algorithms
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We are seeking a Senior Functional Analyst to support the implementation of a new Enterprise-Wide Scheduling, Time, and Attendance solution (Nimbus Time2Work). During the initial 12-month phase
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headlines around the world when a “work of art created by an algorithm” was sold at auction by Christie’s for $432,500 – nearly 45 times the value estimated before auction. It turned out that the group behind
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Learning, Algorithms and Data Structures
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on this technology for its automated warehouses and fulfilment centres. The aim of this project is to use discrete optimisation techniques (e.g. Integer Programming) to design new algorithms for MAPF. An example