Liverpool Logistics Offshore and Marine Research Institute (LOOM) is a leading research unit in marine, offshore and transport studies. LOOM's research interests include: 3D-simulation of logistics movement, evolutionary algorithms and optimisation, formal Ship safety assessment, human and organisational error studies and logistics supply chain studies.
Situated in the Faculty of Technology and Environment, the Mechanical Engineering and Materials Research Centre (MEMARC) conducts research into mechanical engineering, materials, applied mathematics, as well as dynamics and control areas.
The research interests of the European, Public and International Law Research Group include: human rights, terrorism, collective security, European Criminal Law, EU Law, comparative law, regional government and more.
Patient and Public Involvement and Engagement or ‘PPIE’ has become a wide-spread phenomenon in health and social care research. PPIE is considered the gold standard of research and is typically required by funding bodies (such as the NIHR) to access grant funding.
The Liverpool Logistics, Offshore and Marine Research Institute (LOOM) specialises in marine, offshore and transport sectors. The research projects conducted by LOOM have helped to improve the efficiency of port and terminal operations in Europe and the Far East.
Non Fiction Writing
Creative Writing Alumni Group
The Mechanical Engineering and Materials Research Centre (MEMARC) specialises in fracture and contact mechanics, wave propagation in lattices and microstructures, thermal fatigue and thermal striping, materials development and processing, as well as dynamics and control systems. You can find out more about these research areas and the projects MEMARC are working on here.
q:LJMU was established to provide an inter-disciplinary space for LJMU staff and research degree students interested in research with Lesbian, Gay, Bisexual, Transgender, Queer, Intersex, and Asexual (LGBTQIA+) people and communities to come together to support research activities, discussion and collaboration.
The AI and Digital data Network employs machine learning, facial identification, and AI in the detection, recovery and analysis of digital data from audio-video and CCTV footage, 2D and 3D images and online material for the identification of deepfakes, cybercrime, counter-terrorism and security risks.