Dr Kamal Abu-Hassan

Research Fellow

Faculty:Faculty of Science & Technology

Location: Chelmsford

Kamal's areas of expertise include computational intelligence, computational neuroscience, distributed computing and Bayesian inference.

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kamal.abu-hassan@anglia.ac.uk

View Kamal's profile on Google Scholar.

Background

Before joining Anglia Ruskin University, Kamal worked as a Research Associate with the University of Leicester on modelling and analysis of clinical waveform data by using Bayesian approaches. Before that he worked in the University of Ulster on design and development of large-scale neuronal networks by using C programming language with Message Passing Interface (MPI). His areas of expertise include computational intelligence, computational neuroscience, distributed computing and Bayesian inference.

He is a member of German Neuroscience Society. In 2013 he won the best student paper award in Computing in the University of Ulster. He had worked with Oracle and IBM partner companies in Jordan. He has more than six years of experience in developing Service Oriented Architecture (SOA) applications and J2EE applications by using JAVA and IBM tools. He was Sun Certified Java Programmer, Sun Certified Java Web Components Developer, Sun Certified Web Services Developer, and IBM Certified Web Content Management Developer.

Research interests

Kamal's areas of research interest include:

  • Computational intelligence
  • Computational neuroscience
  • Distributed computing
  • Bayesian inference

Areas of research supervision

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Kamal is currently supervising the following PhD researchers

We welcome applications for postgraduate research under the supervision of Kamal Abu-Hassan. We also have a number of exciting research project opportunities that you may want to consider. These are self-funded research proposals that have already been identified by our staff.

Selected recent publications

Abuhassan K, Coyle D and Maguire L (2014) Compensating for Thalamocortical Synaptic Loss in Alzheimer’s Disease. Frontiers in Computational Neuroscience, vol. 8, no. 65, doi:10.3389/fncom.2014.00065

Abuhassan K, Coyle D, Belatreche A, and Maguire L (2014) Compensating for synaptic loss in Alzheimer’s disease, J. of Computational Neuroscience. DOI:10.1007/s10827-013-0462-8

Abuhassan, K, Coyle, D and Maguire, L (2012) Investigating the Neural Correlates of Pathological Cortical Networks in Alzheimer's Disease Using Heterogeneous Neuronal Models, IEEE Trans. on Biomed. Eng., 59 (3). pp. 890-896.

Recent presentations and conferences

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AbuHassan, K, Bakhori, N.E.M, Kusnin, N., Azmi, U.Z.M, Tania, M.H., Evans, B., Yusof, N.A., and Hossain, M.A. (2017). Automatic Diagnosis of Tuberculosis Disease Based on Plasmonic ELISA and Color-based Image Classification. 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

AbuHassan K, Nielsen T, Chung E, Panerai R, Saeed N, Salinet A, Robinson TG, Matheson T (2015). Modelling biological signals with BAYSIG. Proceedings of the 35th Göttingen Neurobiology Conference. (Poster)

Abuhassan K, Coyle D and Maguire L (2013) Compensating for synaptic loss in Alzheimer’s disease: A neural modelling study. In: The 5th Annual Translational Medicine Conference. TMED5. (Oral and Poster Presentations)

Abuhassan, K, Coyle, DH and Maguire, LP (2012) Compensating for synaptic loss in Alzheimer’s disease: A computational study. SET for BRITAIN Engineering Exhibition 2012 (organized by the United Kingdom Parliamentary and Scientific Committee, House of Commons - UK Parliament), London – England (Poster)

Abuhassan, K, Coyle, DH and Maguire, LP (2011) Employing neuronal networks to investigate the pathophysiological basis of abnormal cortical oscillations in Alzheimer's disease. Conference proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. pp. 2065-8 (Poster)