Dr. Ghaidaa Abdulrahman Khalid is an Assistant Professor of Biomedical Engineering at the Electrical Engineering Technical College, Middle Technical University, Iraq. She holds a B.Sc. and M.Sc. in Biomedical Engineering from Al-Nahrain University and a Ph.D. in Medical Engineering from Cardiff University, UK, where her research focused on the computational modeling of infant head trauma. Her interdisciplinary research integrates biomechanics, medical imaging, artificial intelligence, and embedded systems for healthcare diagnostics, injury prevention, and digital health innovation. Specific interests include trauma biomechanics, 3D modeling, AI in medicine, and smart space suit design. She has served as Head of Department, supervised postgraduate theses (Master’s and Ph.D.), evaluated patent applications at the national level, and contributed to internationally funded research proposals such as the EPSRC–NSF CBET agreement and the IBIDEM ERC Synergy Grant. Dr. Khalid is a reviewer, technical consultant, and active member of several academic societies including IEEE, IEEE EMBS, the Arab Society of Biomechanics in Sports (ArabSBS), ISBS (via ArabSBS agreement), World Academies Network, and International Women in Biomechanics (IWB). In 2025, she received the Editor’s Choice – Richard Skalak Award from the ASME Journal of Biomechanical Engineering for outstanding contribution in fetal head biomechanics.
Middle Technical University
Baghdad, Baghdād, Iraq
Medical Instrumentation Technical Engineering
the 2025 Richard Skalak Award
the ASME Journal of Biomechanical Engineering
• Selected as an Editors’ Choice Paper in the 2025 Richard Skalak Award competition by the ASME Journal of Biomechanical Engineering for the paper: "Effects of Fetal Position on the Loading of the Fetal Brain During the Onset of the Second Stage of Labor". https://doi.org/10.1115/1.4065557.
Student Innovation Award, World Youth Skills Day 2025
UNESCO–UNEVOC, Middle Technical University
Awarded to my master's student, for her innovative project titled: "Laser-Based Synthesis of ZnO Nanoparticles to Enhance the Mechanical Performance of Dental Fillings within an AI-Powered Smart System". The project introduced a novel integration of: Pulsed Laser Ablation in Liquid (PLAL) for ZnO nanoparticle synthesis Reinforcement of glass ionomer dental materials for enhanced strength AI-based optimization for smart predictive material performance Selected among