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5.05/4/2026

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About Alessandra

Alessandra Russo is Professor in Applied Computational Logic in the Department of Computing, Faculty of Engineering, at Imperial College London, where she leads the Structured and Probabilistic Intelligent Knowledge Engineering (SPIKE) research group. Appointed Head of the Department of Computing effective from 1 July 2024, she also holds the position of Convenor and Co-Director of the School of Human and Artificial Intelligence and Co-Director of the UKRI Centre for Doctoral Training in Safe and Trusted AI since September 2021. She leads the Imperial-X research initiative on Intelligible AI. Her research specializations encompass computational logic, knowledge representation and reasoning, symbolic machine learning, and probabilistic and distributed inference. These are applied to domains including intelligent autonomous systems, cybersecurity, distributed control systems for sensor networks, and healthcare. Russo has pioneered state-of-the-art symbolic machine learning systems such as LAS (Learning from Answer Set Programs) and ILASP (Inductive Learning of Answer Set Programs), which enable learning interpretable logical rules from labelled data. Her group further develops neuro-symbolic approaches integrating deep learning and probabilistic inference with symbolic methods to achieve generalization and transfer learning from multimodal unstructured data.

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