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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KTP: Human Facial Expression Identification using AI for Clinical Trials
Helian, N. (PI) & Lione, L. (CoPI)
2/03/26 → 1/02/29
Project: Research
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Staff Job Scheduling Considering Route Optimisation for Home Care Services
Helian, N. (PI) & Sun, Y. (CoI)
2/06/25 → 1/03/28
Project: Research
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Development and Validation of a Multi-scale Model of Cerebellar Transcranial Magnetic Stimulation
Bernasconi, E., Yousif, N. & Steuber, V., 7 Sept 2026.Research output: Contribution to conference › Abstract › peer-review
Open Access -
The Functional Contribution of Synaptic Plasticity in the Deep Cerebellar Nuclei to Real-Time Adaptive Robot Control
Ali Akbarzadeh, M., Foerster, F., Steuber, V. & Yousif, N., 7 Sept 2026.Research output: Contribution to conference › Abstract › peer-review
Open Access -
A Deep Learning Feature Mapping Algorithm for Emotion Detection via Facial and Audio Signals
Tayarani, M., Shahid, S., Foerster, F. & Steuber, V., 31 Jul 2026, In: Applied Soft Computing. 197, 28 p., 114998.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Citation (Scopus)9 Downloads (Pure)