Projects per year
Organisation profile
Organisation profile
Research in the Biocomputation Research Group involves the development of computational models to study biological systems, and the application of biologically-inspired machine learning algorithms for the analysis of real-world data. Members of the Biocomputation Group analyse and simulate computational models at different levels of complexity, and collaborate closely with leading experimentalists in the UK and abroad.
Research in the Biocomputation Group concentrates on the following areas:
- Computational Neuroscience
- Machine Learning and Data Science
- Neuromorphic Computing and Neurorobotics
- Systems Biology
- Bioinformatics
- Algebraic Biology
For more information on the group's activities see http://biocomputation.herts.ac.uk/
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Collaborations and top research areas from the last five years
Profiles
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Customer preference pattern analysis for VIP travel agent
Helian, N. (PI) & Lane, P. (PI)
1/10/24 → 31/03/25
Project: Research
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The Application of Knowledge Graphs for the Occupational Health Assessment Field
Amirabdollahian, F. (CoPI) & Sun, Y. (CoPI)
13/05/24 → 12/11/26
Project: Research
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iDOC: Artificial Intelligence Empowered Document Authoring (Innovate UK - KTP)
Livatino, S. (PI), Ravi, D. (CoPI), Mporas, I. (CoI) & Helian, N. (CoI)
3/04/23 → 30/10/25
Project: Research
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A Human-Centered View of Continual Learning: Understanding Interactions, Teaching Patterns, and Perceptions of Human Users Towards a Continual Learning Robot in Repeated Interactions
Ayub, A., De Francesco, Z., Mehta, J., Agha, K. Y., Holthaus, P., Nehaniv, C. L. & Dautenhahn, K., 23 Oct 2024, In: ACM Transactions on Human-Robot Interaction (THRI). 13, 4, p. 1-39 39 p., 52.Research output: Contribution to journal › Article › peer-review
Open AccessFile5 Downloads (Pure) -
Enhancing SERS Spectra through Surface-Doped Nanocluster Substrates: A Numerical Investigation of Plasmonic Silver Coated Pt and Pd Core-Shell-Satellite Structures
Irigo, P., Johnston, I., Chung, E., Tatarov, B., Yadav, A., Yousif, N., Luo, K. & Ren, G., 17 Oct 2024, In: Journal of Physical Chemistry C. 128, 41, p. 17580-17588 9 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Leveraging Large Language Model ChatGPT for enhanced understanding of end-user emotions in social media feedbacks
Khan, N. D., Khan, J. A., Li, J., Ullah, T. & Zhao, Q., 10 Oct 2024, In: Expert Systems with Applications. 261, 23 p., 125524.Research output: Contribution to journal › Article › peer-review