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
Fingerprint
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Projects
- 3 Finished
-
Leverhulme Research Fellowship: "Incentives for Commitment Compliance"
12/12/20 → 5/12/22
Project: Research
-
NIHR ARC NENC - Modelling financial incentives to motivate pregnant smokers to quit - using Evolutionary Game Theory
Jones, S., Han, T. A., Cimpeanu, T., Van Der Graaf, P. & Giles, E.
1/11/20 → 28/02/22
Project: Research
-
Future of Life Institute Safety Grant "Incentives for Safety Agreement Compliance in AI Race"
30/11/18 → 31/10/20
Project: Research
-
Does Spending More Always Ensure Higher Cooperation? An Analysis of Institutional Incentives on Heterogeneous Networks
Cimpeanu, T., Santos, F. C. & Han, T. A., 4 Apr 2023, In: Dynamic Games and Applications.Research output: Contribution to journal › Article › peer-review
Open Access -
Social diversity reduces the complexity and cost of fostering fairness
Cimpeanu, T., Di Stefano, A., Perret, C. & Han, T. A., 1 Feb 2023, In: Chaos, Solitons and Fractals. 167, 9 p., 113051.Research output: Contribution to journal › Article › peer-review
Open AccessFile20 Downloads (Pure) -
Artificial intelligence development races in heterogeneous settings
Cimpeanu, T., Santos, F. C., Pereira, L. M., Lenaerts, T. & Han, T. A., 2 Feb 2022, In: Scientific Reports. 12, 1, 1723.Research output: Contribution to journal › Article › peer-review
Open AccessFile57 Downloads (Pure) -
Cost-efficiency of institutional reward and punishment in cooperation dilemmas
Duong, M. H. & Han, T. A., 18 Jul 2022, ALIFE 2022: The 2022 Conference on Artificial Life: The 2022 Conference on Artificial Life. MIT Press, 3 p. isal_a_00517, 35. (The 2022 Conference on Artificial Life).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access -
Emergent Behaviours in Multi-Agent Systems with Evolutionary Game Theory
Han, T. A., 1 Jan 2022, In: AI Communications. 35, 4, p. 327–337 11 p.Research output: Contribution to journal › Review article › peer-review
Open AccessFile39 Downloads (Pure)
Datasets
-
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
-
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
-
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
-
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
-
Supplementary material from "Cost efficiency of institutional incentives for promoting cooperation in finite populations"
Duong, M. H. (Creator) & Han, T. A. (Creator), figshare, 2021
DOI: 10.6084/m9.figshare.c.5647030.v1, https://rs.figshare.com/collections/Supplementary_material_from_Cost_efficiency_of_institutional_incentives_for_promoting_cooperation_in_finite_populations_/5647030/1
Dataset
Press/Media
-
Complexity and behavioral diversity in evolving populations under uncertainty
3/01/20
1 Media contribution
Press/Media: Other
-
Teesside University wins tech funding from Alan Turing Institute
20/01/22
1 item of Media coverage
Press/Media: Press / Media
-
-
-
Desire to win the AI race could compromise safety
15/12/20
1 Media contribution
Press/Media: Press / Media