Mohamed Atia

Mohamed Atia is a Researcher in the Department of Electrical and Electronic Engineering at the University of Nottingham. His academic role focuses on robotic systems, with a PhD awarded in 2023 for his work on reconfigurable soft robots. His research aligns with UN Sustainable Development Goals related to innovation and education.

Education:

• Doctor of Philosophy (2017–2022): Reconfigurable Soft Robots by Building Blocks, University of Nottingham

Research Interests: Atia specializes in modular robotics, soft robotics, and path planning algorithms. His work integrates advanced materials with control systems, particularly in exoskeleton development. Recent studies explore machine learning applications in material science and 3D-printed composites.

Research Trends: His publications emphasize reconfigurable robot design (2022–2024), path optimization for mobile systems (2020–2018), and exoskeleton control systems (2019–2017). The 2024 paper on machine learning for composites marks an interdisciplinary expansion.

Impact & Collaborations: Participated in the CRADLE center, focusing on robotic autonomy in demanding environments. His work has been cited over 30+ times and reached 40+ readers on Mendeley.

Labs/Teams: Part of the CRADLE research group, collaborating with experts in robotics, materials science, and biomedical engineering.