Projects per year
Personal profile
Research interests
- Machine learning
- Artificial intelligence
- Reinforcement learning
- Bounded rationality
- Network science
Education/Academic qualification
Computer Science, Doctor of Philosophy, University of Massachusetts
Award Date: 1 Sept 2008
Computer Science, Master in Science, University of Massachusetts
Award Date: 1 Sept 2004
Industrial Engineering and Operations Research, Master in Science, University of Massachusetts
Award Date: 1 Sept 1997
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Collaborations and top research areas from the last five years
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AI Powered Agile Energy Network Operation and Investment FS submission requirements
Taylor, P. (PI), Li, F. (CoI), Padget, J. (CoI) & Şimşek, Ö. (CoI)
Engineering and Physical Sciences Research Council
1/10/25 → 31/03/26
Project: Research council
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Project AirTwin: AI Control, Weather Routing & Digital Twin Systems for Optimal Wind-Assisted Ship Performance
Sell, N. (PI), Bull, S. (CoI), Hunter, A. (CoI) & Şimşek, Ö. (CoI)
Innovate UK, Innovate UK Business Connect
1/09/25 → 31/03/26
Project: Central government, health and local authorities
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Co-occurrence of antisocial behaviour and substance use from adolescence to early adulthood
Deng, J. (PI), Allen, J. (PI), Freeman, T. (CoI), Hammerton, G. (CoI) & Şimşek, Ö. (CoI)
1/10/24 → 31/03/28
Project: Research council
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Increasing capacity in the NHS - Development of technologies to increase delivery of injectible medicines in the community
Watts, A. (PI), Dhokia, V. (CoI), Fincham Haines, T. (CoI), Fotaki, N. (CoI), Martinez Hernandez, U. (CoI), Tosh, D. (CoI) & Şimşek, Ö. (CoI)
Engineering and Physical Sciences Research Council
1/01/24 → 31/12/28
Project: Research council
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Self-Learning Wing Trim Optimisation for AirWing Wind Propulsion System
Sell, N. (PI), Bull, S. (CoI), Hunter, A. (CoI) & Şimşek, Ö. (CoI)
Innovate UK, Innovate UK Business Connect
1/11/24 → 31/03/25
Project: Central government, health and local authorities
Research output
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Accelerating Task Generalisation with Multi-Level Skill Hierarchies
Cannon, T. P. & Şimşek, Ö., 28 Apr 2025, The 13h International Conference on Learning Representations. Singapore: International Conference on Learning Representations, ICLR, p. 51284 - 51326 43 p.Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding
Open AccessFile87 Downloads (Pure) -
A Theoretical Framework for Explaining Reinforcement Learning with Shapley Values
Beechey, D., Smith, T. M. S. & Şimşek, Ö., 12 May 2025, arXiv.Research output: Working paper / Preprint › Preprint
File15 Downloads (Pure) -
Accelerated modelling of moisture diffusion controlled drying using coupled physics informed neural network.
Barnard, J., Chew, J., Perera, S., Şimşek, Ö., Balquis, K. & Barker, J., 31 May 2024, In: Food and Bioproducts Processing. 145, p. 67-77 11 p.Research output: Contribution to journal › Article › peer-review
Open Access4 Citations (SciVal)25 Downloads (Pure) -
Creating Multi-Level Skill Hierarchies in Reinforcement Learning
Evans, J. B. & Şimşek, Ö., 16 Jan 2024. 13 p.Research output: Contribution to conference › Paper › peer-review
Open AccessFile191 Downloads (Pure) -
Curricula for Learning Robust Policies with Factored State Representations in Changing Environments
Panayiotou, P. & Şimşek, Ö., 19 Sept 2024, arXiv, (arXiv preprint arXiv:2409.09169).Research output: Working paper / Preprint › Preprint
Open Access
Datasets
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Dataset for "Reformulating Reactivity Design for Data-Efficient Machine Learning"
Lewis-Atwell, T. (Creator), Beechey, D. (Creator), Şimşek, Ö. (Creator) & Grayson, M. (Creator), University of Bath, 6 Oct 2023
DOI: 10.15125/BATH-01240, https://github.com/the-grayson-group/finding_barriers
Dataset