Faculty

Learn about the ELIAI Faculty and their research

Stefano V. Albrecht

Lecturer, School of Informatics

Address

Street

Autonomous Agents; Multi-agent Systems; Reinforcement Learning; Game Theory

 

Peter Bell

Reader, School of Informatics

Address

Street

Acoustic Modelling for Automatic Speech Recognition

 

Vaishak Belle

Reader, School of Informatics

Contact details

Address

Street

Integrating Reasoning and Learning; Explainability in Machine Learning

 

Hakan Bilen

Reader, School of Informatics

Address

Street

Computer Vision; Machine Learning; Weakly-Supervised and Multi-Task Learning

 

Shay Cohen

Reader, School of Informatics

Address

Street

Natural Language Understanding; Semantic/Syntactic Parsing; Summarization

 

Jacques Fleuriot

Professor, School of Informatics

Address

Street

AI for Health and Care; Formal Verification for AI/ML; Formalised Mathematics; Process Modelling

 

Frank Keller

Professor, School of Informatics

Address

Street

Cognitive Modeling; Language Processing; Language and Vision; Eye-tracking

 

Christopher Lucas

Reader, School of Informatics

Address

Street

Inductive Learning; Causal Inference; Transfer Learning and Generalization; Bayesian Models

 

Pasquale Minervini

Lecturer, School of Informatics

Address

Street

Relational and Graph Machine Learning; Question and Query Answering; Hybrid Neuro-Symbolic Models

 

Siddharth Narayanaswamy

Reader, School of Informatics

Address

Street

Interpretability; Multimodality; Generative Models; Approximate Inference

 

Jeff Pan

Reader in Knowledge Graphs

Contact details

Address

Street

Research Interest: knowledge-based learning and reasoning, and knowledge awaee natural language understanding and generation

 

Edoardo Ponti

Lecturer, School of Informatics

Contact details

Address

Street

Machine Learning for Natural Language Processing; Data-Efficient Transfer Learning and Compositional Generalisation

 

Ram Ramamoorthy

Professor, School of Informatics

Address

Street

Robotics; Machine Learning

 

Björn Ross

Lecturer, School of Informatics

Address

Street

Computational Social Science; NLP and Social Network Analysis for Social Media

 

Laura Sevilla

Lecturer, School of Informatics

Address

Street

Computer Vision; Video Understanding; Machine Learning

 

Amos Storkey

Professor, School of Informatics

Address

Street

Deep Learning; Machine Learning; Machine Learning Markets; Bayesian Inference; Probabilistic Graphical Models

 

Ivan Titov

Reader, School of Informatics

Address

Street

Machine Learning for Natural Language Processing

 

Antonio Vergari

Lecturer, Machine Learning, School of Informatics

Address

Street

Efficient and Reliable Probabilistic ML in the wild; Complex Reasoning with Deep Learning