Projects per year
Personal profile
Academic Biography
Dr The Anh Han is Professor in Computer Science and Lead of the Center for Digital Innovation (CDI) in the School of Computing, Engineering and Digital Technologies, and has been at Teesside since 2014. Before joining Teesside, he was a postdoctoral research fellow at the AI Lab of the Free University of Brussels (VUB), funded by the Belgium national research foundation FWO, and obtained his PhD at the AI Center of the New University of Lisbon. Prior to that, he completed a joint Masters degree, funded with an Eramus Mundus scholarship, at the New University of Lisbon and the Technical University of Dresden.
His current research interests span a wide range of topics within Artificial Intelligence and Multidisciplinary research, including AI safety behavioural modelling, dynamics of human cooperation, AI cognitive modelling, evolutionary game theory, agent-based modelling, intention recognition, and knowledge representation and reasoning. He also collaborates with behavioral economists to perform experiments with real human subjects in order to validate theoretical models related to human cooperative behaviour.
Prof Han has been awarded sevearal prestigious fellowships and grants, including from the Future of Life Institute, Leverhulme and FWO Belgium.
Within these topics, Dr Han's research has resulted in a book (published by Springer) and over 100 referred papers in high-ranking international scientific journals and top computer science conferences, including the journal of the Journal of Artificial Intelligence Research (JAIR), Royal Society Interface, Nature Scientific Reports, JAAMAS, Mathematical Biology, Artificial Life journal, Dynamic Games and Applications, Adaptive Behaviour, AI Communications, IJCAI, AAAI, AAMAS, GECCO, CEC, ICLP, and LPAR.
See Dr The Anh Han's profile on Academia.edu.
Summary of Research Interests
Artificial Intelligence:
- AI safty / AI race modelling
- AI cognitive modelling
- agent-based modelling and multi-agent systems
- Intention recognition
- Knowledge representation and reasoning
Multi-disciplinary research:
- Dynamics of human cooperation
- Behavioural and incentive modelling
- Evolution of cognition
- Evolutionary game theory
- Behavioural economics and psychology
I am always looking for excellent PhD students and post-doc, especially in the following topics:
- AI race / AI safety / AI existential risks modelling
- agent-based modelling and multi-agent systems
- behaviour and incentives modelling
- cognitive modeling, theory-of-mind, intention recognition
- mathematical modelling in behavioural economics and psychology
- evolutionary game theory and classical game theory
Education/Academic qualification
PhD, Intention Recognition, Commitments and Their Roles in the Evolution of Cooperation, Universidade Nova de LisboaCaparica
Award Date: 11 May 2012
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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EPSRC standard grant "Evolutionary Game Theory Under Uncertainty"
Han, T. A. (PI)
1/02/24 → 28/02/26
Project: Research
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Future of Life Institute grant "AI Governance Modelling Workshop"
Han, T. A. (PI)
1/12/23 → …
Project: Research
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CyberThemis
Sfyrakis, I. (PI), Shamszaman, Z. (CoI) & Han, T. A. (CoI)
1/09/24 → 21/02/25
Project: Research
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OPERA: Operationalising Privacy for Enhanced Robustness in Applications
Sfyrakis, I. (PI), Shamszaman, Z. (CoI), Thakor, V. (CoI) & Han, T. A. (CoI)
9/04/24 → 23/07/24
Project: Research
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Benchmarking Classical, Deep, and Generative Models for Human Activity Recognition
Hossain, M. M., Han, T. A., Ara, S. S. & Shamszaman, Z. U., 14 Jan 2025, arXiv, 48 p.Research output: Working paper › Preprint
Open AccessFile7 Downloads (Pure) -
Evolutionary dynamics with random payoff matrices
Duong, M. H. & Han, T. A., 7 Jan 2025, In: EPL. 149, 3, 7 p., 32001.Research output: Contribution to journal › Comment/debate › peer-review
Open AccessFile1 Downloads (Pure) -
Multi-Agent Risks from Advanced AI
Hammond, L., Chan, A., Clifton, J., Hoelscher-Obermaier, J., Khan, A., McLean, E., Smith, C., Barfuss, W., Foerster, J., Gavenčiak, T., Han, T. A., Hughes, E., Kovařík, V., Kulveit, J., Leibo, J. Z., Oesterheld, C., de Witt, C. S., Shah, N., Wellman, M. & Bova, P. & 24 others, , 19 Feb 2025, arXiv, p. 1-96, 96 p.Research output: Working paper › Preprint
Open AccessFile8 Downloads (Pure) -
On evolution of non-binding commitments: Comment on “LLMs and generative agent-based models for complex systems research” by Y. Lu et al.
Song, Z. & Han, T. A., 1 Mar 2025, In: Physics of Life Reviews. 52, p. 245-247 3 p.Research output: Contribution to journal › Comment/debate › peer-review
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An Explainable AI Tool for Operational Risks Evaluation of AI Systems for SMEs
Han, T. A., Pandit, M., Joneidy, S., Hasan, M. M., Hossain, J., Hoque Tania, M., Hossain, M. A. & Nourmohammadi, N., 23 Jan 2024, 2023 15th International Conference on Software, Knowledge, Information Management and Applications (SKIMA). IEEEResearch output: Chapter in Book/Report/Conference proceeding › Conference contribution
Datasets
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Mathematica code for: Evolutionary mechanisms that promote cooperation may not promote social welfare
Han, T. A. (Contributor), Zenodo, 7 Oct 2024
DOI: 10.5281/zenodo.13897564, https://zenodo.org/records/13897564
Dataset
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Evolution of cooperation and trust in an N-player social dilemma game with tags for migration decisions
Dhakal, S. (Creator), Chiong, R. (Creator), Chica, M. (Creator) & Han, T.-A. (Creator), Zenodo, 3 Apr 2022
DOI: 10.5281/zenodo.6408968, https://zenodo.org/record/6408968
Dataset
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Supporting Information from Institutional incentives for the evolution of committed cooperation: ensuring participation is as important as enhancing compliance
Han, T. A. (Creator), The Royal Society, 2022
DOI: 10.6084/m9.figshare.19317338.v1, https://rs.figshare.com/articles/journal_contribution/Supporting_Information_from_Institutional_incentives_for_the_evolution_of_committed_cooperation_ensuring_participation_is_as_important_as_enhancing_compliance/19317338/1
Dataset
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Supplementary material from "Institutional incentives for the evolution of committed cooperation: ensuring participation is as important as enhancing compliance"
Han, T. A. (Creator), The Royal Society, 2022
DOI: 10.6084/m9.figshare.c.5880182.v1, https://rs.figshare.com/collections/Supplementary_material_from_Institutional_incentives_for_the_evolution_of_committed_cooperation_ensuring_participation_is_as_important_as_enhancing_compliance_/5880182/1
Dataset
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Supplementary material from "Institutional incentives for the evolution of committed cooperation: ensuring participation is as important as enhancing compliance"
Han, T. A. (Creator), The Royal Society, 2022
DOI: 10.6084/m9.figshare.c.5880182, https://rs.figshare.com/collections/Supplementary_material_from_Institutional_incentives_for_the_evolution_of_committed_cooperation_ensuring_participation_is_as_important_as_enhancing_compliance_/5880182
Dataset
Press/Media
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University awarded prestigious grant to investigate the AI race
9/10/18
1 Media contribution
Press/Media: Press / Media
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Research into decision making and the impact of incentives
6/04/22
1 Media contribution
Press/Media: Press / Media
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Desire to win the AI race could compromise safety
15/12/20
1 Media contribution
Press/Media: Press / Media
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AI developers often ignore safety in the pursuit of a breakthrough – so how do we regulate them without blocking progress?
15/03/21
1 Media contribution
Press/Media: Press / Media