DERI Academic Fellows
DERI serves as the focal point of digital, data science, and AI at Queen Mary and includes a dedicated physical space supporting 150 staff as well as a wider network across the University.
Benefits
Researchers at Queen Mary can become DERI academic fellows benefiting from access to new cross-disciplinary networks for research and state-of-the-art facilities.
As a DERI academic fellow you will:
- Become part of an interdisciplinary network of academic and industry researchers working in the digital, data science and AI space.
- Collaborate with Queen Mary colleagues and members of the DERI Industry Alliance to explore new vistas for research and participate in funding applications.
- Have access to the modern DERI building, meeting spaces and facilities, including the new High Performance Computing facility.
- Improve the visibility and exposure of your research via DERI-organised meetings and events, and the website.
- Receive regular updates from DERI about news and opportunities both within Queen Mary and externally.
DERI Fellows 2021-22


Dr Akram Alomainy
Deputy Dean for Postgraduate Research in Science and Engineering / Reader in Antennas and Applied Electromagnetics



Dr Eldad Avital
Reader in Computational (& Experimental) Fluids and Acoustics Aerospace programme director Professional Bodies Liaison - Royal Aeronautical Society

Professor Michael Barnes
Professor of Bioinformatics and Director of the Centre for Translational Bioinformatics








Professor Claude Chelala
Co-Director, Centre for Computational Biology, LSI | Professor of Bioinformatics













Professor Sergey Karabasov
Professor of Computational Modelling Deputy for Research & Industrial Engagement (Division of Aerospace Engineering and Fluid Mechanics) Chair of Computing Committee

Professor Rob Krams
Professor in Molecular Bioengineering Chair of Division of Bioengineering Scientific Director of the CVDHub































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










