Role
Dr Ahmad Serjouei is a Senior Lecturer in Mechanical Engineering within the Department of Engineering, School of Science and Technology, Nottingham Trent University. He serves as Personal Tutoring Lead for the Department of Engineering and as Impact Champion for REF Unit of Assessment 12.
Ahmad has taught and led modules in:
- Engineering Mathematics & Technical Computing (Module Leader)
- Materials & Manufacturing
- Foundation Engineering
- Engineering Science Fundamentals (Module Leader)
- Innovation and Engineering Solutions
- Industrial Design & Product Case Studies
Career overview
Ahmad obtained his BSc in Mechanical Engineering from Isfahan University of Technology (Iran) in 2007 and subsequently completed both his MEng and PhD in Mechanical Engineering at Nanyang Technological University (Singapore) in 2009 and 2014, respectively.
Prior to joining Nottingham Trent University in 2019, Ahmad held several research appointments in the UK and Singapore, including Senior Research Fellow in Additive Manufacturing at the Institute for Innovation in Sustainable Engineering, University of Derby; Research Fellow at the Advanced Manufacturing and Design Laboratory, Singapore University of Technology and Design; and Research Fellow within the School of Mechanical and Aerospace Engineering at Nanyang Technological University.
Research areas
Ahmad's research focuses on advanced materials and manufacturing technologies, combining experimental and computational approaches to address challenges in engineering and healthcare. His expertise spans advanced metallic and polymeric materials, materials characterisation, computational modelling, additive manufacturing, smart materials and structures, active metamaterials, soft actuation, and biomedical engineering applications.
His research contributes to the development of innovative engineering and healthcare solutions through the design, characterisation and optimisation of advanced materials and manufacturing systems. Particular interests include metal additive manufacturing, 3D and 4D printing, fatigue and fracture behaviour, and sustainable engineering solutions that enhance performance, functionality and resource efficiency.
His interdisciplinary research activities encompass:
- Advanced Materials – Design, development and characterisation of metallic, polymeric and multifunctional materials for engineering and healthcare applications.
- Materials Performance & Structural Integrity – Investigation of microstructure, mechanical properties, fatigue behaviour and fracture mechanisms using experimental and analytical techniques.
- Computational Modelling & Simulation – Numerical modelling of materials, manufacturing processes and engineering systems.
- Additive Manufacturing – Metal and polymer additive manufacturing, including 3D and 4D printing, process optimisation and application development.
- Smart Materials, Metamaterials & Soft Actuation – Development of responsive materials, adaptive structures and innovative actuation systems for engineering and biomedical applications.
- Biomedical Engineering – Healthcare technologies, orthotic and prosthetic solutions, and patient-specific medical devices.
- Sustainable Manufacturing – Resource-efficient manufacturing technologies and sustainable engineering solutions that support industrial productivity and environmental responsibility.
External activity
Professional Membership and Editorship:
- Fellow of Higher Education Academy (FHEA)
- Member of the Institute of Mechanical Engineers (IMechE), and Chartered Engineer (CEng)
- Member of the Engineering Professors’ Council (EPC)
- Editorial board member of Journal of Engineering Science & Technology
- Editorial board member of Journal of Digital Manufacturing Technology
- Editorial board member of Journal of Mechanical Engineering Advances
- Editorial board member of Journal of Advances in Differential Equations and Control Processes
- Associate editor of Journal of Advanced Manufacturing
- Associate editor of Advanced Equipment Journal
I also serve as external examiner for Mechanical Engineering Program at University of Leeds.
Publications
Selected publications:
- Dastgerdi, J. N., Serjouei, A., Malekan, M., & Mohammadi, B. (2026). Defect-interaction-driven fatigue-life scatter in additively manufactured metals: a mechanistic framework. Engineering Failure Analysis, 197(Part B), 111234. https://doi.org/10.1016/j.engfailanal.2026.111234
- Ghanbari, A., Colakoglu, A. A., Serjouei, A., Chakrabarty, S., Ichiyama, R. M., Culmer, P. R., & Alazmani, A. (2026). Customized batch fabrication of highly sensitive thin capacitive soft sensors based on high dielectric constant composite polymers. Scientific Reports, 16, 1543. https://doi.org/10.1038/s41598-025-27387-x
- Sun, C., Li, W., Serjouei, A., Li, C., Sun, R., Elbugdady, I., & Jin, Y. (2026). Elevated-temperature fatigue behavior and microstructure based cumulative damage evaluation of additive manufacturing superalloy under variable amplitude loading. International Journal of Fatigue, 203, 109305. https://doi.org/10.1016/j.ijfatigue.2025.109305
- Serjouei, A., & Shahtahmassebi, G. (2025). Statistical distributions of morphologically classified defects in metal additive manufacturing with implications for fatigue life prediction. Advanced Engineering Materials. https://doi.org/10.1002/adem.202402848
- Crawford, G., & Serjouei, A. (2025). Work hardening for powder bed fusion–laser beam (PBF-LB) AlSi10Mg alloy manufactured at different orientations and its application for Vickers hardness evaluation. International Journal of Advanced Manufacturing Technology. https://doi.org/10.1007/s00170-025-15659-9
- Afazov, S., Serjouei, A., Hickman, G. J., Mahal, R., Goy, D., & Mitchell, I. (2022). Defect-based fatigue model for additive manufacturing. Progress in Additive Manufacturing. https://doi.org/10.1007/s40964-022-00376-6
- Serjouei, A., Libura, T., Brodecki, A., Radziejewska, J., Broniszewska, P., Pawłowski, P., Szymczak, T., Bodaghi, M., & Kowalewski, Z. L. (2022). Strength-hardness relationship for AlSi10Mg alloy produced by laser powder bed fusion: an experimental study. Materials Science and Engineering: A, 861, 144345. https://doi.org/10.1016/j.msea.2022.144345
- Serjouei, A., & Afazov, S. (2022). Predictive model to design for high cycle fatigue of stainless steels produced by metal additive manufacturing. Heliyon, 8(11), e11473. https://doi.org/10.1016/j.heliyon.2022.e11473
A list of publications of Ahmad can be found at Google Scholar, ORCID and Researchgate.