PRofessor of PRactice, Imperial college business school
Co-DIRECTOR, INSTITUTE FOR SECURITY SCIENCE AND TECHNOLOGY
Co-director, Centre FOR financial technology
Deeph has extensive experience of working on world leading STEM in academia, industry and government. He is Professor of Practice within Imperial's Business School, Co-Director of the Institute for Security Science Technology and is co-founder of the UK-Goverment funded Research Institute in Trustworthy Industrial Control Systems and Imperial's FinTech Network of Excellence.
He is the founder of a STEM consultancy specialising in enterprise technology and critical-infrastructure applications and has been involved in numerous successful commercial technology projects in the private sector. Deeph has worked on a broad range of applied and theoretical research topics including, inverse problems, image processing, optical data storage, antenna design, diabetic retinopathy, computational modelling of space debris, explosives detection, crowd analysis and machine learning for cyber-security.
Deeph previously worked as a senior science and technology official within the UK Government: leading international STEM diplomacy initiatives; directing and funding national security research programmes; and setting national technology policy, standards and regulation. He has delivered advice to four Secretaries of State and served as chairman on numerous high-profile national and international technology working groups.
He has established national and international research calls in science and technology and has acted as a board member and bid reviewer for programmes in the Home Office, the US Department of Homeland Security and the EU’s Framework Programme for Research.
Deeph holds MSci and PhD degrees in Physics from King’s College London.
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et al., 2011, Coded apertures allow high-energy x-ray phase contrast imaging with laboratory sources, Journal of Applied Physics, Vol:110, ISSN:0021-8979
Olivo A, Chana D, Speller R, 2008, A preliminary investigation of the potential of phase contrast x-ray imaging in the field of homeland security, Journal of Physics D-applied Physics, Vol:41, ISSN:0022-3727
Feng C, Li T, Chana D, 2017, Multi-level Anomaly Detection in Industrial Control Systems via Package Signatures and LSTM Networks, 2017 47th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), Pages:261-272