Queen Mary University of London

As cyber threats become increasingly automated and sophisticated, the traditional "siloed" approach to Intrusion Detection Systems (IDS) is failing. Currently, when an organisation detects a novel zero-day attack, that intelligence remains locked within their internal network. This leaves peer organisations, supply chain partners, and critical infrastruct...

To develop noncontact technology for the application of thin barrier coatings to 3D-shaped moulded-fibre containers, and thus to enable paper packaging to replace plastic packaging.

Parkinson’s disease (PD) is the most common neurodegenerative movement disorder, with a multifactorial aetiology, heterogeneous manifestation of motor and non-motor symptoms, and no cure. PD is often missed or misdiagnosed, as early symptoms are subtle and common with other diseases, allowing for considerable damage to occur before treatment. Moreover, se...

To develop and commercialise affordable, lightweight, flexible solar film by incorporating in-situ optical analysis equipment to accelerate the evaluation of new materials for use in photovoltaic devices.

To develop new Artificial Intelligence (AI) / machine learning (ML) platforms to speed up drug discovery and accelerate delivery of new treatments to patients through improvements in efficiency and costs.

An academic and cardiologist at one of the UK's leading Russell Group universities have been working on a way of making conventional foods more healthy for the heart. Their attention has been on beetroot and beetroot juice which is known to be very good for the heart. In particular, beetroot contains very high levels of inorganic nitrate (nitrogen-based c...

The Open Radio Access Network (O-RAN) architecture represents a keystone paradigm in establishing more flexible, versatile, and intelligent next-generation wireless communication networks. By adopting an open platform, O-RAN reduces total costs and lowers barriers for new vendors to enter the market. As a result, O-RAN is projected to account for up to 30...

To develop an innovative smartphone-based digital tool to assess meaningful changes in range of limb motion that would enable remote monitoring of patient movement and face-to-face symptom consultations.

This project is a building on and adding to our successful Energy Catalyst R8 early-stage project, demonstrating good feasibility of the proposed concepts in enhancing the efficiency of onshore wave energy converters (WECs) and developing advanced wave-powered microgrids (WPMG) in the selected remote islands of Thailand with limited or no grid access whic...

A collaborative project between Algorivm (SME), Queen Mary University of London and Edinburgh Napier University that provides a cutting edge commercial product. Utilising Deep Learning methodologies and techniques for audio-to-score-alignment, automatic-polyphonic-music-transcription, and score-informed transcription for complex recordings. The output is ...

The growing demand for the production, storage and transportation of hydrogen -- as one of the most sustainable sources of clean energy - in most transportation sectors (e.g. aerospace) has been the main driver for this project. **Production**: ASG's in-house highly-efficient plastic recycling process, using Flash Joule Heating (FJH) is capable of utilisi...

DEMETRA will demonstrate means to alleviate tensions between democratic governance and climate and sustainability transitions through an analysis of new deliberative participatory processes (DPPs) such as citizens’ assemblies and e-governance. These bottomup processes can be highly inclusive allowing to afford a genuine political voice to all segments of ...