Artificial Intelligence Research Group

Bernie Grant Digital Archive ChatBot

Bernie Grant, MP, was a pioneering political figure whose work in advancing racial equality and social justice left a lasting impact on British politics. As a Labour Party MP, his contributions helped shape debates on inclusivity and representation, leaving behind an enduring legacy that continues to inspire future generations.

This project is an academic and research initiative led by Prof. Kurt Barling and Prof. David Windridge. It offers a digital archive presented through an interactive ChatBot, aimed at preserving and showcasing Bernie Grant’s influential career and historical significance.

The Generative AI Search for Digital Archives is designed to provide curious archive users with a bird’s-eye view of historical records, speeches, and key initiatives. By leveraging AI-powered retrieval methods, this system fosters engagement with archival materials and expands research possibilities. By introducing engaging narratives, it hopes to stimulate curiosity and encourage users to search for more detailed information within the archive. The project is committed to improving accessibility to diasporic histories, fostering collaborations with other diasporic archives and collections. We want to connect communities with their heritage and help negotiate difference using digital technology. This initiative seeks to evolve by collaborating with additional collections, broadening the scope of accessible historical narratives while maintaining accuracy and relevance.

To view the demo, please click here.

Feasibility Study of Carbon Product Entity Recognition (CPER) using LLM for Construction Applications

Middlesex University in partnership with AI Dizital Solutions Ltd. awarded grant from the Innovate UK.

Academic PI: Prof. David Windridge

EMERALD: Environmental Monitoring and Evaluation via Remote Advanced LoRa-Driven Detectors for Heavy Metal Contamination

Middlesex University in partnership with Vellore Institute of Technology, India awarded grant under the UKIERI-4 Strand 1 Institutional Research & Mobility Partnerships Grant.

Academic PI: Prof. David Windridge

British Council Early Career Fellowships (2024/25)

In total, 4 post-doctoral early career researchers (12-month each) will be fully funded to research related to Artificial Intelligence (AI) as a visiting fellow from Taiwan. Applicants are expected to have completed their PhD recently or are to receive PhD soon. To promote Women in STEM initiative, female applicants have a priority.

Academic PI: Prof. Xiaohong Gao

JuDDGES

Judicial Decision Data Gathering, Encoding and Sharing EPSRC/CHIST-ERA (ends 1/2026) – P.I. Prof. David Windridge, Co.I Prof Mandeep Dhami

ASTHMA

Machine Learning approaches to detect pre-neoplastic changes in mesothelial cells for early detection of mesothelioma using pleural fluid and liquid biopsies (ends 2025) lead: Imperial College Royal Brompton Hospital, Co-PI: Prof. Xiaohong Gao

Women in STEM

Middlesex University London is pleased to announce the British Council MSc Scholarhships (n=6) for Women in STEM to allow female students from East Asia to study one of our master degrees for the 2023/24 academic year.

4 fellows to work on e-learning, healthcare and digital twin PI: Prof. Xiaohong Gao & Serengul Smith

ChemNLP

OpenBioML initiative with Stability AI and the European Bioinformatics Institute (Dr. Tirunagari/Prof. Windridge): award of extensive GPU resources for training of 3-5 Billion parameter Large Language Models from scratch for the Biosciences

Women in STEM (2022-2023)

Middlesex University London is pleased to announce the British Council Scholarships for Women in STEM for the 2022/23 academic year.

In partnership with the British Council, Middlesex University London is offering six fully funded scholarships for female students studying on STEM subjects, aiming to support girls and women who are under-represented in STEM.

PRISM

This project is funded by The Cancer Research UK under Innovation Award and The PRISM project has received funding from CRUK-STFC Early Detection Innovation Award and is to develop a data repository and associated AI tools to improve the diagnosis of malignant mesothelioma. PRISM is led by Imperial College and has collaborators from Warwick University, King’s College London, Oxford University and Middlesex University.

Evolution as an Information Dynamic System (2009-2013)

EPSRC grant EP/H031936/1 (Roman Belavkin, John Aston (Warwick), Alastair Channon (Keel), Chris Knight (Manchester))

The project aims at developing better understanding of the laws of evolution using information dynamics theory. Heredity and mutation are viewed as parameters of an adaptive system, which vary according to changes in information about the environment and fitness. The project is in collaboration with John Aston (University of Warwick, Statistics), Alastair Channon (University of Keele, Computing and Mathematics) and Chris Knight (University of Manchester, Life Sciences).