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A Review on Cadmium and Lead Contamination: Sources, Fate, Mechanism, Health Effects and Remediation Methods (2022)
Journal Article
Bouida, L., Rafatullah, M., Kerrouche, A., Qutob, M., Alosaimi, A. M., Alorfi, H. S., & Hussein, M. A. (2022). A Review on Cadmium and Lead Contamination: Sources, Fate, Mechanism, Health Effects and Remediation Methods. Water, 14(21), Article 3432. https://doi.org/10.3390/w14213432

Cadmium and lead soil contamination is a widespread environmental problem that requires profound and sustainable solutions. These toxic elements can be naturally occurring on the Earth’s crust or from man-made origins. Cadmium and lead could accumula... Read More about A Review on Cadmium and Lead Contamination: Sources, Fate, Mechanism, Health Effects and Remediation Methods.

A Highly-Efficient Fuzzy-Based Controller With High Reduction Inputs and Membership Functions for a Grid-Connected Photovoltaic System (2020)
Journal Article
Farah, L., Hussain, A., Kerrouche, A., Ieracitano, C., Ahmad, J., & Mahmud, M. (2020). A Highly-Efficient Fuzzy-Based Controller With High Reduction Inputs and Membership Functions for a Grid-Connected Photovoltaic System. IEEE Access, 8, 163225-163237. https://doi.org/10.1109/access.2020.3016981

Most conventional Fuzzy Logic Controller ( FLC ) rules are based on the knowledge and experience of expert operators: given a specific input, FLCs produce the same output. However, FLCs do not perform very well when dealing with complex problems that... Read More about A Highly-Efficient Fuzzy-Based Controller With High Reduction Inputs and Membership Functions for a Grid-Connected Photovoltaic System.

Towards the Development of Rapid and Low-Cost Pathogen Detection Systems Using Microfluidic Technology and Optical Image Processing (2020)
Journal Article
Kerrouche, A., Lithgow, J., Muhammad, I., & Romdhani, I. (2020). Towards the Development of Rapid and Low-Cost Pathogen Detection Systems Using Microfluidic Technology and Optical Image Processing. Applied Sciences, 10(7), Article 2527. https://doi.org/10.3390/app10072527

Waterborne pathogens affect all waters globally and proceed to be an ongoing concern. Previous methods for detection of pathogens consist of a high test time and a high sample consumption, but they are very expensive and require specialist operators.... Read More about Towards the Development of Rapid and Low-Cost Pathogen Detection Systems Using Microfluidic Technology and Optical Image Processing.

Height Prediction for Growth Hormone Deficiency Treatment Planning Using Deep Learning (2020)
Presentation / Conference Contribution
Ilyas, M., Ahmad, J., Lawson, A., Khan, J. S., Tahir, A., Adeel, A., Larijani, H., Kerrouche, A., Shaikh, M. G., Buchanan, W., & Hussain, A. (2019, July). Height Prediction for Growth Hormone Deficiency Treatment Planning Using Deep Learning. Presented at 10th International Conference, BICS 2019, Guangzhou, China

Prospective studies using longitudinal patient data can be used to help to predict responsiveness to Growth Hormone (GH) therapy and assess any suspected risks. In this paper, a novel Clinical Decision Support System (CDSS) is developed to predict gr... Read More about Height Prediction for Growth Hormone Deficiency Treatment Planning Using Deep Learning.

Pathogen detection in bathing waters using microfluidic technology, image processing and deep learning (2019)
Presentation / Conference Contribution
Kerrouche, A., Muhammad, I., Rueckert, S., & Lawson, A. (2019, June). Pathogen detection in bathing waters using microfluidic technology, image processing and deep learning. Poster presented at Research Conference, Edinburgh Napier University

Monitoring the quality of recreational waters such as beaches and rivers is becoming a global concern to protect human health (e.g. the EU Bathing Water Directive (BWD) in Europe). In Scotland, water quality at 86 designated bathing water sites is as... Read More about Pathogen detection in bathing waters using microfluidic technology, image processing and deep learning.