معرفی
Nasser Amaitik is a Researcher at the School of Engineering and Technology, Aston University, UK. He holds a PhD in Computer Science from Aston University, an MSc in Information and Business Systems Engineering from the University of Surrey, and a BSc in Industrial and Manufacturing Systems Engineering from the University of Benghazi, Libya. His primary research focuses on Intelligent Knowledge Engineering for Decision Support, Predictive Modelling in Industrial Applications, Reasoning with Uncertainty, and Cost Modelling for Engineering Domains.
Education:
- 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)
Research interests span advanced methodologies for decision-making systems, including fuzzy logic applications, hierarchical decision analysis, and predictive maintenance strategies. His work integrates digital twin technology for smart manufacturing processes and explores cost-effective life extension strategies for industrial equipment. Recent projects emphasize sustainability in manufacturing through optimized lifecycle management and AI-driven fault diagnosis.
Key contributions include developing hybrid fuzzy systems for water infrastructure assessment and a tutorial on the Analytic Hierarchy Process (AHP). His 2024 Best Paper Award at ICMR recognizes work on digital twins for electric vehicle fuel cell maintenance.
Advising and Grants: Supervised a doctoral thesis on hierarchical fuzzy rule-based methodologies. His research aligns with industrial collaborations focusing on remanufacturing and smart maintenance.
Labs/Teams: Engaged in Aston’s engineering research groups, contributing to projects on predictive analytics and industrial system optimization.
