Mohamed H. Hassan is a Postdoctoral Research Associate in the Department of Materials, The University of Manchester. He holds a PhD in Mechanical Engineering and conducts interdisciplinary research at the interface of advanced manufacturing, materials science, and sustainability, with particular emphasis on additive manufacturing, composite materials, and circular manufacturing systems.
His research spans additive manufacturing of polymers and composites, sustainable and recyclable materials, shape memory and functional polymers, and bioengineering applications, integrating experimental materials development with digital and computational tools. He has particular expertise in additive manufacturing sustainability, materials recycling, and bio-derived and smart material systems.
His doctoral research focused on the design and development of a multilayer, multi-material 3D-printed leaf biosensor for early, in-field detection of Puccinia triticina. This work addressed the critical challenge of delayed visual disease identification by enabling rapid, on-site sensing prior to symptom manifestation, thereby supporting timely intervention and reducing crop yield losses. The research combined advanced materials, additive manufacturing, and biosensing technologies, contributing to sustainable agricultural and environmental monitoring solutions.
His current work extends to advanced composites manufacturing and repair, laser–material interactions, and digital manufacturing workflows,
Mohamed H. Hassan is a Postdoctoral Research Associate in the Department of Materials, The University of Manchester. He holds a PhD in Mechanical Engineering and conducts interdisciplinary research at the interface of advanced manufacturing, materials science, and sustainability, with particular emphasis on additive manufacturing, composite materials, and circular manufacturing systems.
His research spans additive manufacturing of polymers and composites, sustainable and recyclable materials, shape memory and functional polymers, and bioengineering applications, integrating experimental materials development with digital and computational tools. He has particular expertise in additive manufacturing sustainability, materials recycling, and bio-derived and smart material systems.
His doctoral research focused on the design and development of a multilayer, multi-material 3D-printed leaf biosensor for early, in-field detection of Puccinia triticina. This work addressed the critical challenge of delayed visual disease identification by enabling rapid, on-site sensing prior to symptom manifestation, thereby supporting timely intervention and reducing crop yield losses. The research combined advanced materials, additive manufacturing, and biosensing technologies, contributing to sustainable agricultural and environmental monitoring solutions.
His current work extends to advanced composites manufacturing and repair, laser–material interactions, and digital manufacturing workflows,