Imperial College London

Dr Kristijonas Cyras

Faculty of EngineeringDepartment of Computing

Research Associate



k.cyras Website




433Huxley BuildingSouth Kensington Campus





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 legislative and medical domains, as well as on explainable AI.

In 2017, Kristijonas worked on Analysing UK Parliamentary Bills (PI: Prof Francesca Toni), in collaboration with Thomson Reuters, Data Science Institute and Imperial College Business School.

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.

Selected Publications

Journal Articles

Čyras K, Birch D, Guo Y, et al., 2019, Explanations by arbitrated argumentative dispute, Expert Systems With Applications, Vol:127, ISSN:0957-4174, Pages:141-156


Cyras K, Oliveira T, 2019, Resolving conflicts in clinical guidelines using argumentation, International Conference on Autonomous Agents and Multiagent Systems, IFAAMAS / ACM, Pages:1731-1739, ISSN:2523-5699

Cyras K, Letsios D, Misener R, et al., Argumentation for Explainable Scheduling, AAAI Conference on Artificial Intelligence, AAAI

Cocarascu O, Cyras K, Toni F, 2018, Explanatory predictions with artificial neural networks and argumentation, Workshop on Explainable Artificial Intelligence (XAI)

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

Cyras K, Satoh K, Toni F, 2016, Explanation for Case-Based Reasoning via Abstract Argumentation, 6th International Conference on Computational Models of Argument (COMMA), IOS PRESS, Pages:243-254, ISSN:0922-6389

Cyras K, Toni F, 2016, ABA+: Assumption-Based Argumentation with Preferences., AAAI Press, Pages:553-556

More Publications