Research staff
A list of AIAI research staff
| Member | Interests | |
 |
Longfei Chen | Human behaviour analysis; Temporal modeling; Explainability; Visual sensing. |
 |
Xiao Chen | Fault-tolerance and consistency algorithm design with reinforcement learning, consensus and trust management for blockchain and fintech systems, stochastic modelling and optimization theory. |
| Mark Chevallier | ||
 |
Ricardo Contreras | Monitoring of dynamic process compositions and data processing with focus on older adults.Monitoring of dynamic process compositions and data processing with focus on older adults. |
| Nusa Faric | ||
 |
Luna De Ferrari |
Current role: AI coordinator for the AIM-CISC Artificial Intelligence and Multimorbidity project. Past roles: data scientist at the Edinburgh Parallel Computing Centre and teaching coordinator for statistics and R programming, University of Edinburgh. Research experience: Applied machine learning (deep and classic) and statistics, medical data management for AI and ML, DevOps and database administration. |
 |
Paola Galdi | Machine learning and statistical modelling for biomedical data, multimodal data integration, network-based modelling. |
 |
Dilara Kekulluoglu | Dilara's research areas are privacy, responsible AI, human computer interaction, and computational social science. |
 |
Xue Li | Knowledge representation, theory repairing by combining abduction, belief revision and conceptual change via reformation based on automated reasoning, and the applications of theory repairing. |
 |
Daxin Liu |
Artificial Intelligence, Knowledge Representation and Reasoning, Modal Logic of Probabilistic Belief and Actions, Verification of Epistemic Robot Program. |
 |
Kobby Nuamah |
Hybrid and modular AI architectures using a combination of symbolic and machine learning methods towards explainability; question answering using inference over knowledge graphs; software engineering. |
| Opeyemi Osakuade | ||
 |
Guillermo Romero Moreno | Interdisciplinary research with statistical models, AI, ML, and network science applied to complex systems in various areas, such as politics, health, biology, robotics, etc. |
| Xingran Ruan | ||
| Richard Schmoetten | ||