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Alessandra Russo is a Professor of Applied Computational Logic at Imperial College London, where she leads the Structured Probabilistic Knowledge Engineering (SPIKE) research group. Her research focuses on using foundational AI applications to address real-world problems. She has pioneered symbolic machine learning systems that have been widely applied in areas such as Intelligent Adaptive Systems, Security, Network Management, Distributed Control Systems, Sensor Networks, and Healthcare. Professor Russo's key research interests include Computational Logic, Planning, Symbolic Machine Learning, Probabilistic Distributed Inference, Neuro-symbolic AI, and Robustness Generative Models. She has collaborated with various esteemed institutions including IBM Thomas J. Watson Research Centre and the Pennsylvania State University to investigate security protocols in tactical clouds and the development of declarative infrastructures for decentralized security policy adaptation. Besides, she is involved in projects pertaining to cloud environments and their implications for managing cyber threats, supporting adaptable communication during coalition operations, and enhancing the understanding of complex socio-technical systems.
Imperial College London • London, UK
Lead research group in Applied Computational Logic focusing on AI applications.
Specialisms available in Materials for the Energy Transition or Theory and Simulation of Materials.