Assistant Professor, Higher Institute of Applied Science and Technology of Sousse, Tunisia
📜 Short Bio: Dr. Ing. Sabrine Ben Amor is a dedicated researcher and educator in the field of Mechanical Engineering, specializing in additive manufacturing processes. With a strong academic background and practical teaching experience, she contributes actively to advancing knowledge in her field.
Profile
Orcid
🎓 Education:
Ph.D. in Mechanical Engineering: National Engineering School of Sousse (ENISo), Tunisia, 2019-2023. Dissertation on “Study of geometric complexity for 3D printing processes.”
Research Master’s Degree in Mechanics and Systems Engineering: ENISo, Tunisia, 2017-2019. Thesis focused on “Modeling and simulation of the 3-URU spherical parallel robot.”
Mechatronics Engineering Degree: ENISo, Tunisia, 2015-2018.
First-cycle University Diploma (Mathematics – Physics): Higher School of Science and Technology of Hammam Sousse (ESSTHS), Tunisia, 2013-2015.
🏢 Experience:
Dr. Ben Amor currently serves as a Contractual Assistant at the Higher Institute of Applied Sciences and Technology of Sousse (ISSATSo), where she teaches and supervises various mechanical engineering courses and practical sessions. She has also worked as an Assistant Lecturer at ISSATSo, specializing in additive manufacturing and systems engineering.
🔬 Research Interest:
Her research interests lie in additive manufacturing, particularly optimizing manufacturing parameters, part building orientation, and geometric complexity for enhanced performance and efficiency in 3D printing processes.
🏅 Award:
Dr. Ben Amor has received recognition for her research contributions, including awards for her work on experimental investigation and optimization of manufacturing parameters for orthoses using composite materials and titanium nanoparticles.
📝 Publications Top Notes
Experimental Investigation to Optimize the Manufacturing Parameters of Ankle–Foot Orthoses Using Composite and Titanium Nanoparticles – Journal of Composites Science, 2024. Cited by 2 articles.
A new method to select optimal part building orientation for additive manufacturing processes based on geometric complexity and heat shrinkage – Progress in Additive Manufacturing, 2022. Cited by 4 articles.
Engineering Change Risk Assessment: Quantitative and qualitative change characterization – Computers in Industry, 2022. Cited by 1 article.