Research line Artificial Intelligence

The CS department of the Open University is active in research on various topics related to Artificial Intelligence. Below is a list of the researchers active in these fields, a link to their homepage (when available) and, for each, a list of the topics of his/her expertise.

Natasha Alechina

• responsible AI

Stefano Bromuri

• machine learning, deep learning
• logic programming, reinforcement learning

Arjen Hommersom

• probabilistic graphical models
• probabilistic logic programming
• uncertainty reasoning
• symbolic reasoning
• AI in medicine
• representation of medical knowledge
• reasoning about medical knowledge

Mina Alishahi

• machine learning
• privacy in distributed learning
• machine learning for attack detection

Murat Firat

• data science
• machine learning
• discrete event simulation
• AI-supported operations planning
• AI in manufacturing

Frouke Hermens

• eye tracking
• statistics
• machine learning
• research methods
• data science

Jesse Heyninck

• knowledge representation
• formal argumentation
• defeasible and non-monotonic reasoning

Clara Maathuis

• AI and military cyber / information operations
• social media manipulation
• military technologies and conflict
• machine Learning
• responsible AI
• artificial general intelligence
• hybrid intelligence

Gideon Maillette de Buy Wenniger

• machine translation (syntax, morphology, semantics)
• handwritten text recognition
• deep learning
• computer vision
• scholarly document processing
• machine learning

Daniel Stanley Tan

• Defect detection
• image forensics
• crop pest and disease detection
• creative AI

Ali Özbakir

• Machine Learning
• NLP
• Time series forecasting
• Signal processing
• Geophysics

Tom Dooney

• Machine learning
• Deep learning
• Generative modelling
• Gravitational wave physics
• Signal processing

Yu Sheng

• AI and machine learning

Jeroen Spaans

• computational argumentation
• formal argumentation