Projects, grants and partners AI and Data Science Research Group

Current Projects 

The research group excels at knowledge exchange activities and have recently established two Knowledge Transfer Projects with Innovate UK. 

Filisia Interfaces Ltd. - Intelligent Data Dashboard 

This KTP [Ref: KTP13437] project aims to deliver a major innovation to the assistive technology sector, as collecting reliable data from SEND treatments is very challenging. The system will be able to filter real-time data, identify noise/anomalous events, and process the data accordingly. This will provide thousands of people with SEND with data-driven assessment tools to improve treatment, save caregiver time, and reduce treatment costs by delivering more targeted interventions. The project is also aligned with the United Nations Sustainable Development Goals for health and well-being. This project is led by Associate Professor Dr Qicheng Yu. 

Mobilise Care Ltd. - AI-based Tool for Caregivers 

This KTP [Ref: KTP013883] project aims to deliver an innovative, artificial intelligence-based tool that provides personalised, anticipatory support to unpaid carers, enhancing their preparedness, resilience, and overall caregiving experience.' Building on London Met’s past success with delivering KTPs with an emphasis on utilising technology to deliver social impact, the latest project to be awarded funding by Innovate UK is with Mobilise and the School of Computing and Digital Media. This project is led by Senior Professor Hassan Kazemian and supported by Dr Elaheh Homayounvala. 

National Youth Theatre 

This interdisciplinary project is aimed at assisting the NYT to evaluate their Local Inclusivity Networks Programme, specifically in relation to young people with learning disabilities. The project will include quantitative and qualitative methods, community infrastructure mapping, exploring lived experience and co-design with young people with disabilities defining their aspirations in relation to local cultural facilities. Asociate Professor Dr Qicheng Yu is working in conjunction with the London Met Lab programme. 

Community-based Projects 

The research group is keen to participate in projects originating from our neighbouring communities in North London. Examples of recent projects include: 

• Identifying the quantitative scale of employment gap among different groups of BAME residents of London Borough of Haringey, 2023. 
• Differentiating uptake of employability services in the London Borough of Islington by identifying sub-categories of ethnicity through data analysis, 2022. 
• Digitisation of patients’ records in the Injury and Rehabilitation Clinic, part of the London Met Lab: Empowering London Health strand, supporting the use of the patients’ data to which AI can be applied to improve clinic services. 2022-2024. 
• London house price prediction using machine learning, ongoing. 

Completed Projects 

The research group was involved with several European partners on the EU SPIRIT project. The project developed a sense-making computational framework for resolving identity using extracted web entities and existing policing data. The London Met team led by Emeritus Professor Hassan Kazemian contributed to work on research methodologies for identity resolution on policing datasets and extracted data from web crawlers and natural linguistic programming (NLP). The SPIRIT project involved 17 research organisations and police force from nine countries across Europe including Belgium, Germany, Greece, Italy, Poland, Serbia, Spain, Sweden and the United Kingdom. 

Grants

In recent years the group has attracted approximately £11 million in research grants from Horizon 2020, Seventh Framework Programme (FP7), the Higher Education Funding Council for England (HEFCE) under the Science Research Investment Fund (SRIF), the Engineering and Physical Sciences Research Council (EPSRC), The Royal Society, Emerald Funds, Development Fund, LDA, Knowledge Connect and 16 Knowledge Transfer Partnerships (KTP). Some recent grants include:

• EU Horizon 2020 Scalable Privacy Preserving Intelligence Analysis for Resolving Identities (SPIRIT).  
• The Group has was awarded an Emerald standard grant to develop an intelligent graphical user interface software suite that will predict and analyse membrane protein classifying into Alpha helix and Beta barrel for commercialisation purposes.
• The Group obtained an EPSRC grant for a research project entitled: A Fuzzy Approach to Video Transmission over Bluetooth. The overall aim of the project is concerned with transmission of digital video signal over Bluetooth wireless.
• Innovate UK Project – SYCAMORE: Vulnerability Analysis and Risk Assessment of Cyber Security Policies.
• Several KTPs with companies such as eConnect Cars, LifelineIT, Underscore Ltd., Ask Electronics Ltd., and Rankhour Ltd.