Artificial Intelligence Research Group
Prof. Windridge on Quantum Machine Learning
Faculty of Science and Technology, Middlesex University
The Artificial Intelligence research group at Middlesex University embodies a vibrant community of scholars passionate about AI's transformative potential. Drawing from diverse backgrounds, our researchers collaboratively address a spectrum of AI challenges. Key areas of mastery within the group encompass Data Science, Natural Language Processing, and advanced decision-making methodologies. We are at the forefront of Medical analytics, innovating in AI-enhanced diagnosis and clinical decision-making. Additionally, our focus extends to the domains of Neuro symbolic AI and the increasingly crucial field of Explainable AI, ensuring transparency in our advancements.
The article Pediatrics in Artificial Intelligence Era: A Systematic Review on Challenges, Opportunities, and Explainability by Balla, Tirunagari and Windridge has been recognised as one of the top five most-cited articles published in 2023 in Indian Pediatrics. The authors have been invited for felicitation at the Presidential Dinner during PEDICON 2026.
Dr. Santosh Tirunagari contributed to Chempile: A 250GB Diverse and Curated Dataset for Chemical Foundation Models, arising from collaboration with Stability AI and partners.
Group members published new work on margin-aware active learning for user-adaptive text classification at NLPIR, and transformer models for UK Court of Appeal legal judgments at MIWAI.
Prof. David Windridge was invited to give a keynote talk at the 16th International Conference on Multi-disciplinary Trends in AI in Ho Chi Minh City, entitled Kernel Methods in the Age of Deep Learning: from data fusion to quantum deep neural networks.
Prof. Windridge and Dr. Santosh Tirunagari completed a knowledge exchange project with the UK Sports Institute, developing reliable AI-assisted video description for the Paralympic sport Boccia.
Prof. David Windridge and PhD student Vijay Simha Reddy presented a demo of their AI generative search application for the Bernie Grant Archive.