Scholar

alessandra russo

Google Scholar ID: _6zceo4AAAAJ

Professor in Applied Computational Logic

Artificial IntelligenceInductive Logic ProgrammingSymbolic Machine LearningDistributed InferenceSoftware Engineering

Citations & Impact

All-time

Citations

2,371

H-index

i10-index

Publications

Co-authors

list available

Contact

No contact links provided.

Publications

20 items

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Resume (English only)

Background

Professor in Applied Computational Logic at the Department of Computing, Imperial College London
Academic member of the Distributed Software Engineering Section
Leads the Structured and Probabilistic Knowledge Engineering (SPIKE) research group
Research interests include: Computational Logic, Planning, Symbolic Machine Learning, Probabilistic and Distributed Inference, Neuro-symbolic AI, and Robustness of Generative Models
Focuses on foundational AI and its applications to real-world problems
Pioneered symbolic machine learning systems applied in Intelligent Adaptive Systems, Security, Network Management, Distributed Control Systems for Sensor Networks, and Healthcare

Co-authors

34 total