Dr Kristijonas Cyras has completed a BSc Mathematics degree (Honours) at Warwick University, and an MSc Mathematics Research degree (Distinction) with emphasis on mathematical logic at Leeds University. Kristijonas has completed a PhD Research in Computing degree with emphasis on Artificial Intelligence, particularly argumentation, at Imperial College London. Kristijonas has been a Research Associate at Imperial College London since May 2017, working on applications of argumentation to legal and medical domains.
Since 2017, Kristijonas is working on developing novel Learning Health System techniques to facilitate Universal Health Coverage (UHC) in low- and middle-income countries, as part of the ROAD2H Project, in collaboration with the Institute for Global Health Innovation (IGHI) at Imperial College London, King’s College London, University of Serbia and China National Health Development Research Center (CNHDRC). In particular, Kristijonas is working on developping a novel argumentation model integrated with resource optimisation to alleviate health-care related decision making.
Kristijonas is a Postdoc Rep for the Department of Computing.
Cocarascu O, Cyras K, Toni F, 2018, Explanatory predictions with artificial neural networks and argumentation, Workshop on Explainable Artificial Intelligence (XAI)
Cyras K, Toni F, 2016, ABA+: Assumption-Based Argumentation with Preferences., AAAI Press, Pages:553-556
Cyras K, Satoh K, Toni F, 2016, Abstract Argumentation for Case-Based Reasoning., Fifteenth International Conference on the Principles of Knowledge Representation and Reasoning (KR 2016), AAAI Press, Pages:549-552