IDAI Pump Prime Funding
The Institute for Data and AI’s (IDAI) pump-prime funding supports the development of innovated and high-impact research ideas.
This funding provides priming funds to support University of Birmingham researchers to develop interdisciplinary data science and AI ideas, projects and initiatives, both intra-Birmingham and through collaboration with leading national and international institutions. The funding aims to support work that will lead to the future external funding of innovative, high-impact research and long-term research collaborations. This funding is awarded through a process of pseudonymised panel review, followed by a lottery selection process – all applications put forward for the lottery had equal chance of being awarded.
Following our highly-successful first cohort of 7 projects, we are delighted to announce a further 8 innovative and high-impact pump-prime research projects have been awarded as part of the 2024/2025 funding call.
2024/2025 Awarded Projects
‘A radiomics approach to define the brain metastasis-brain parenchyma interface on MRI’
‘A radiomics approach to define the brain metastasis-brain parenchyma interface on MRI’
‘A radiomics approach to define the brain metastasis-brain parenchyma interface on MRI’
Dr Vinton Cheng, Department of Cancer and Genomic Sciences
Dr Hamidreza Arjmandi, Assistant Professor in Bioinformatics, School of Medicine and Health, Department of Cancer and Genomic Sciences
Prof Vijay Sawlani, Professor Neuroimaging, University Hospitals Birmingham NHS Foundation Trust, Queen Elizabeth Hospital Birmingham
‘New AI Binders for protein isoform-specific imaging: disease targeting and monitoring’
‘New AI Binders for protein isoform-specific imaging: disease targeting and monitoring’
‘AI-designed binders for protein isoform-specific imaging: New tools for disease targeting and monitoring’
Dr Daniel Nieves, Research Fellow, Immunology and Immunotherapy
‘Compositor 2.0: AI for Image Analysis in the Humanities’
‘Compositor 2.0: AI for Image Analysis in the Humanities’
‘Compositor 2.0: AI for Image Analysis in the Humanities’
Dr Hazel Wilkinson, Senior Lecturer, School of English, Drama, and Creative Studies
‘Digital Governance Twins: LLM Multi-Agent Systems for Evidence-Based Decision Support‘
‘Digital Governance Twins: LLM Multi-Agent Systems for Evidence-Based Decision Support‘
‘Digital Governance Twins: Harnessing LLM Multi-Agent Systems for Evidence-Based Decision Support‘
Dr Christine Sheldon, Research Fellow in Computational Social Science, School of Government
Dr Christian Arnold, Associate Professor in Government and AI, School of Government
Prof Slava Jankin, Chair in Data Science and Government, School of Government
‘Mapping and Analysing the Allocation of Reconstruction Funds in War-Torn Ukraine’
‘Mapping and Analysing the Allocation of Reconstruction Funds in War-Torn Ukraine’
‘Mapping and Analysing the Allocation of Reconstruction Funds in War-Torn Ukraine’
Dr Martin Ottmann, Associate Professor in Peace and Conflict Studies, Head of Research, School of Government
Dr Stergios Mitoulis, Associate Professor, School of Engineering
Nadiia Kopiika, Research Fellow, School of Engineering
‘Multi-modal hydrological data - causal foundation AI model of hydrological system’
‘Multi-modal hydrological data - causal foundation AI model of hydrological system’
‘Preprocessing multi-modal hydrological data to develop a causal foundation AI model of hydrological system’
Dr Shasha Han, Assistant Professor in Hydrology and Water Resources, School of Geography, Earth and Environmental Sciences
Dr Shuo Wang, Associate Professor, School of Computer Science
Dr Xilin Xia, Assistant Professor in Resilience Engineering, School of Engineering
‘Privacy Shields for a Digital Age: Enhancing Safety Against DeepFake Manipulation’
‘Privacy Shields for a Digital Age: Enhancing Safety Against DeepFake Manipulation’
‘Privacy Shields for a Digital Age: Enhancing Online Safety Against DeepFake Manipulation for Vulnerable Groups’
Dr Huiping Chen, Assistant Professor, School of Computer Science
Dr Tarsem Sing Cooner, Associate Professor of Social Work, School of Social Policy and Society
Caroline Webb, Lecturer, School of Social Policy and Society
SpermNet: Instance segmentation for sperm identification’
SpermNet: Instance segmentation for sperm identification’
SpermNet: Instance segmentation for sperm identification’
Dr Meurig Gallagher, Assistant Professor, School of Mathematics, Computer Science and Institute of Metabolism and Systems Science
Prof Jackson Kirkman-Brown, Professor in Reproductive Biology, Metabolism and Systems Science and Birmingham Women's Hospital Fertility Centre
In the coming weeks, we will spotlight the innovative work and dedicated teams behind each of the successful projects.
We extend our sincere gratitude to all applicants. The outstanding quality of submissions reflects the depth and breadth of AI and Data research across our campus, as well as the collective commitment to advancing and strengthening interdisciplinary collaboration. We look forward to sharing updates and insights from these outstanding projects.
2024 Awarded Projects
Process Parameter Optimisation for Predictive Manufacturing and Design
Process Parameter Optimisation for Predictive Manufacturing and Design
Process Parameter Optimisation for Predictive Manufacturing and Design via Multi-Agent Reinforcement Learning
Dr Leonardo Stella, Lecturer, School of Computer Science
Prof Moataz Attallah, Professor of Advanced Materials Processing, School of Metallurgy and Materials
Understanding Follow-Up of Pulmonary Nodules at University Hospitals Birmingham
Understanding Follow-Up of Pulmonary Nodules at University Hospitals Birmingham
Understanding Follow-Up of Pulmonary Nodules at University Hospitals Birmingham to Improve Lung Cancer Survivability
Dr Michael Newnham, Associate Professor & Respiratory Consultant, Institute of Applied Health
Dr Justin Aunger, Research Fellow, Institute of Applied Health
Dr Karin Slater, Assistant Professor of Biomedical Semantics, Institute of Cancer and Genomic Sciences
Usability of AI-Enabled Analysis for Tissue-Based Pathological Scoring of H&E Images
Usability of AI-Enabled Analysis for Tissue-Based Pathological Scoring of H&E Images
Usability of AI-Enabled Analysis for Tissue-Based Pathological Scoring of H&E Images from Sjogren Syndrome Patient Biopsies: A Tool to Optimize Clinical Trials
Dr Saba Nayar, Research Fellow, Institute Inflammation and Ageing
Prof Fabian Spill, Professor of Applied Mathematics, School of Mathematics
Mr Sebastian Gilbert, PhD Student, School of Mathematics
A Public Database of Single-Molecule Tracking Data
A Public Database of Single-Molecule Tracking Data
Prof Dylan Owen, Professor of Immunology and Immunotherapy, Institute of Immunology and Immunotherapy
Bridging Human Brain Electrophysiology and Artificial Neural Network
Bridging Human Brain Electrophysiology and Artificial Neural Network
Bridging Human Brain Electrophysiology and Artificial Neural Network to Understand How Visual Representations Emerge
Dr Jianbo Jiao, Assistant Professor in Computer Science, School of Computer Science
Prof Ole Jensen, Professor in Translational Neuroscience, School of Psychology
Birmingham Digital Twin Scale-Up
Birmingham Digital Twin Scale-Up
Prof Martin Freer, Director of the Birmingham Energy Institute, School of Physics and Astronomy
Holistic Approaches to Biodiversity Monitoring Using AI
Holistic Approaches to Biodiversity Monitoring Using AI
Dr Jiarui Zhou, Assistant Professor in Environmental Bioinformatics, School of Biosciences
Prof Luisa Orsini, Professor of Evolutionary Systems Biology and Environmental Omics, School of Biosciences