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Professor Greg Slabaugh

Greg

Director of the Digital Environment Research Institute and Professor of Computer Vision and AI

Email: g.slabaugh@qmul.ac.uk
Room Number: Empire House, Ground Floor, Desk G1
Website: https://webspace.eecs.qmul.ac.uk/g.slabaugh/

Profile

Greg is Director of the Digital Environment Research Institute (DERI) and Professor of Computer Vision and AI at Queen Mary. His primary research interests include computer vision and deep learning, with applications to computational photography and medical image computing.

Prior to joining Queen Mary University of London in 2020, he was Chief Scientist in Computer Vision (EU) for Huawei Technologies R&D where he led a team of research scientists working in computational photography, studying the camera image signal processor (ISP) pipeline including denoising, demosaicing, automatic white balance, super-resolution, and colour enhancement for high quality photographs and video.  Earlier industrial appointments include Medicsight, where he led a team of research scientists in detection of pre-cancerous lesions in the colon and lung, imaged with computed tomography; with the company's ColonCAD product receiving FDA clearance and CE marking.  He also was an employee of Siemens, where he performed research in medical image computing and 3D shape modelling. He holds 49 granted patent family and has over 250 peer-reviewed publications.

He earned a PhD in Electrical Engineering from Georgia Institute of Technology in Atlanta, USA where he focused on reconstruction of 3D scenes from 2D photographs.  For six years he was an academic at City, University of London where he taught modules in computer vision, graphics, computer games technology, and programming in addition to leading research grants funded by the European Commission, EPSRC and Innovate UK.  He was awarded a university-wide Research Student Supervision Award in 2017, and a Teaching in the Schools award for the School of Mathematics, Computer Science, and Engineering in 2016. 

More details can be found at https://webspace.eecs.qmul.ac.uk/g.slabaugh/ 

Research

Research Interests:

  • Computer vision 
  • Multimodal AI
  • AI for healthcare
  • Computational photography

Publications

Selected publications: 

Supervision

Greg is supervising the following postdoctoral researchers: 

Greg is first supervisor for the following PhD students:

and supervised as first supervisor the following PhD students at Queen Mary

Grants

  • (Co-Investigator) Doctoral Focal Award in Advanced AI for Multimodal Spatial Biology, BBSRC, 2026-2032
  • (Principal Investigator) Knowledge Transfer Partnership with AstraZeneca, Innovate UK, 2025-2027
  • (Co-Investigator) Addressing Socio-technical Limitations of LLMs for Medical an Social Computing, EPSRC, 2024-2028
  • (Co-Investigator) Defining Clinical and Molecular Phenotypes of Multi-Drug Resistance in Difficult to Treat Rheumatoid Arthritis, Horizon Europe, 2025-2029
  • (Co-Investigator) Developing Spatially Resolved Moledulcar Drug-Repurposing Assays for Trating Age-Related Frailty, MRC, 2023-2025
  • (Co-Investigator) An Ecosystem for Digital Twins in Healthcare, Horizon Europe, 2023-2025
  • (Research Collaborator) Biomedical Research Centre, NIHR, 2022-2027
  • (Knowledge base lead) Queen Mary University of London and Wise Plc Knowledge Transfer Partnership (KTP), 2022-2025
  • (Co-Investigator) Collaborative Training Partnership in AI for Drug Discovery, led by Exscientia PLC, BBRSC, 2022-2028
  • (Knowledge base lead) Accelerated Knowledge Transfer to Innovate (AKT2I) with Keen AI, Innovate UK, 2023
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