Personal profile
Biography
Dr Vedat Doğan is a Postdoctoral Researcher at University College Cork (UCC) and the Insight Centre for Data Analytics. He received his PhD in Computer Science in 2024 and has a background in Mathematical Engineering.
His research focuses on advanced artificial intelligence and decision-science methods for high-stakes, strategic domains, including international diplomacy, security, crisis management, and complex networked systems. He specializes in multi-agent reinforcement learning, bilevel and Bayesian optimisation, graph-based learning, and explainable AI, with particular emphasis on modelling adversarial and cooperative behaviour in dynamic environments. He develops explainable multi-agent reinforcement learning and optimisation frameworks that capture adversarial, cooperative, and hierarchical interactions in complex socio-technical systems.
By integrating AI with game-theoretic and network-based models, his work supports evidence-based policy analysis and the design of transparent decision-support tools for high-stakes societal and security challenges.
UCC Futures (primary)
- Artificial Intelligence and Data Analytics
PhD Supervision
- Available for PhD supervision
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 4 Quality Education -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 11 Sustainable Cities and Communities -
SDG 16 Peace, Justice and Strong Institutions
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- 1 Similar Profiles
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A Fully Bayesian Approach to Bilevel Problems
Dogan, V., Prestwich, S. & O’Sullivan, B., 2025, Algorithmic Decision Theory - 8th International Conference, ADT 2024, Proceedings. Freeman, R. & Mattei, N. (eds.). Springer Science and Business Media Deutschland GmbH, p. 144-159 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15248 LNAI).Research output: Chapter in Book/Report/Conference proceedings › Conference proceeding › peer-review
Open Access -
A Graph Neural Network-Based Role Classification in Criminal Networks
Dogan, V., Prestwich, S. & O’Sullivan, B., 2025, International Conference on Computational Science and Computational Intelligence. p. 142-157 16 p. (Communications in Computer and Information Science ((CCIS,volume 2510))).Research output: Chapter in Book/Report/Conference proceedings › Conference proceeding › peer-review
Open Access -
Counterterrorism Planning by Multi-objective Multi-agent Reinforcement Learning
Prestwich, S., Dogan, V. & O’Sullivan, B., 2025, Computational Science and Computational Intelligence - 11th International Conference, CSCI 2024, Proceedings. Arabnia, H. R., Deligiannidis, L., Shenavarmasouleh, F., Amirian, S. & Ghareh Mohammadi, F. (eds.). Springer Science and Business Media Deutschland GmbH, p. 51-63 13 p. (Communications in Computer and Information Science; vol. 2510 CCIS).Research output: Chapter in Book/Report/Conference proceedings › Conference proceeding › peer-review
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Multi-Objective BiLevel Optimization by Bayesian Optimization
Dogan, V. & Prestwich, S., Apr 2024, In: Algorithms. 17, 4, 146.Research output: Contribution to journal › Article › peer-review
Open Access -
BHO-MA: Bayesian Hyperparameter Optimization with Multi-objective Acquisition
Dogan, V. & Prestwich, S., 2024, Optimization, Learning Algorithms and Applications - 3rd International Conference, OL2A 2023, Revised Selected Papers. Pereira, A. I., Fernandes, F. P., Coelho, J. P., Mendes, A., Pacheco, M. F. & Lima, J. (eds.). Springer Science and Business Media Deutschland GmbH, p. 391-408 18 p. (Communications in Computer and Information Science; vol. 1981 CCIS).Research output: Chapter in Book/Report/Conference proceedings › Conference proceeding › peer-review
Open Access
Press/Media
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Study Data from University College Cork Update Knowledge of Algorithms (Multi-Objective BiLevel Optimization by Bayesian Optimization)
12/04/24
1 item of Media coverage
Press/Media