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
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Profiles
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High field MRI and DTI for modelling tremor treatment
Yousif, N. (PI)
1/06/25 → 31/05/26
Project: Research
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Drug efficacy prediction by using machine learning techniques
Lione, L. (PI) & Helian, N. (CoPI)
19/05/25 → 16/09/25
Project: Research
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Staff Job Scheduling Considering Route Optimisation for Home Care Services
Helian, N. (PI) & Sun, Y. (CoI)
4/11/24 → 4/08/27
Project: Research
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Mesoscale differences in brain organization in schizophrenia revealed by topological data analysis
Dmitruk, E., Metzner, C., Steuber, V. & Kadir, S., 21 Jun 2025, BioRxiv.Research output: Working paper
Open Access -
Neuromorphic principles for machine olfaction
Dennler, N., True, A., van Schaik, A. & Schmuker, M., 1 Jun 2025, In: Neuromorphic Computing and Engineering. 5, 2, p. 1-12 12 p., 023001.Research output: Contribution to journal › Comment/debate › peer-review
Open AccessFile1 Downloads (Pure) -
A Fully In Silico Protocol to Understand Olfactory ReceptorOdorant Interactions
Berwal, B., Saha, P. & Kumar, R., 30 May 2025, (Accepted/In press) In: ACS Omega.Research output: Contribution to journal › Article › peer-review