Research output per year
Research output per year
Personal profile
Contact Details
Email: [email protected]
Biography
Nasser Amaitik received his BSc in Industrial and Manufacturing Systems Engineering from the University of Benghazi in Libya. He awarded his post-graduate qualifications from the UK (MSc in Information and Business Systems Engineering from the University of Surrey and PhD in Computer Science from Aston University). He investigated intuitive models of assessment and decision making during his PhD research. Currently, he is working as a Research Associate at the School of Engineering and Technology, Aston University, UK. Nasser’s main area of research lies in the Intelligent Knowledge Engineering for Decision Support, Predictive Modelling related to Industrial Applications, Reasoning with Uncertainty and Cost Modelling for Engineering Domain.
Qualifications
- PhD in Computer Science, Aston University, UK
- MSc in Information and Business Systems Engineering, University of Surrey, UK
- BSc in Industrial and Manufacturing Systems Engineering, University of Benghazi, Libya
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Collaborations and top research areas from the last five years
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A hybrid intelligent system for skin disease diagnosis
Dabowsa, N. I. A., Amaitik, N. M., Maatuk, A. M. & Aljawarneh, S. A., 7 Mar 2018, Proceedings of 2017 International Conference on Engineering and Technology, ICET 2017. IEEE, p. 1-6 6 p. (Proceedings of 2017 International Conference on Engineering and Technology, ICET 2017; vol. 2018-January).Research output: Chapter in Book/Published conference output › Conference publication
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Developing a hierarchical fuzzy rule-based model with weighted linguistic rules: A case study of water pipes condition prediction
Amaitik, N. M. & Buckingham, C. D., 8 Jan 2018, Proceedings of Computing Conference 2017. IEEE, Vol. 2018-January. p. 30-40 11 p.Research output: Chapter in Book/Published conference output › Conference publication
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Decision Making and the Analytic Hierarchy Process (AHP): A Complete Tutorial
Amaitik, N., 1 Mar 2023, 19 p.Research output: Other contribution › Teaching Resource
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Towards sustainable manufacturing by enabling optimum selection of life extension strategy for industrial equipment based on cost modelling
Amaitik, N., Zhang, M., Xu, Y., Thomson, G. A., Kolokas, N., Maisuradze, A., Peschl, M. & Tzovaras, D., Nov 2023, In: Journal of Remanufacturing. 13, 3, p. 263-282 20 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
A Distributional Perspective on Remaining Useful Life Prediction with Deep Learning and Quantile Regression
Zhang, M., Wang, D., Amaitik, N. & Xu, Y., 29 Sept 2022, In: IEEE Open Journal of Instrumentation and Measurement. 1, 13 p., 3500713.Research output: Contribution to journal › Article › peer-review
Open AccessFile
Thesis
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Developing a Generic Hierarchical Fuzzy Rule-based Methodology for Condition Assessment and Decision Support Applied to Human-based Knowledge Domains: Cases Study of Water Pipes and Mental Health Domains
Amaitik, N. M. M. (Author), Mar 2018Student thesis: Doctoral Thesis › Doctor of Philosophy