معرفی
Kaveh Amouzgar is an Associate Professor in Production Engineering at the Department of Engineering, School of Engineering Science, University of Skövde. With a doctoral thesis completed in 2018 titled 'Metamodel Based Multi-Objective Optimization with Finite-Element Applications,' he has established himself as a significant contributor to the field of production engineering and optimization.
Dr. Amouzgar's research primarily focuses on simulation-based optimization techniques, multi-objective optimization approaches, and the integration of augmented reality in manufacturing environments. His work bridges theoretical optimization methods with practical industrial applications, particularly in CNC machining, energy efficiency in manufacturing, and Industry 4.0 technologies. His research demonstrates a consistent trajectory of increasing complexity and industrial relevance since his doctoral work.
His publication record reveals a strong trend toward interdisciplinary research at the intersection of manufacturing engineering, computer science, and human factors. Recent work (2023-2025) increasingly incorporates extended reality (XR) technologies, machine learning applications, and sustainability considerations into traditional manufacturing optimization problems. This evolution reflects the broader shift in production engineering toward digitalization and human-centered smart manufacturing systems.
Dr. Amouzgar maintains extensive collaborations with researchers at the University of Skövde, particularly with Amos H.C. Ng, and has co-authored numerous publications with international partners. His work appears in reputable journals including Procedia CIRP, Journal of Manufacturing Systems, IEEE Access, and International Journal of Production Research, demonstrating both academic rigor and industrial relevance.
At the University of Skövde, Dr. Amouzgar appears to be actively involved in research projects related to smart manufacturing, digital transformation of production systems, and optimization methodologies. His recent publications suggest involvement in learning factory environments and research initiatives focused on Industry 4.0 implementation in manufacturing contexts.