- New Academic Appointments
Despite the challenges of these times, and the sad loss of Professor Miltos Petridis to the pandemic one year ago, our department has recently made – and is planning to make – a number of appointments. Professor Balbir Barn has been taking interim responsibilities as head of department in the past year on top of his Vice Dean role and has been promoted to Academic Dean for the Faculty of Science and Technology effective April 1st. Professor Franco Raimondi is also returning from his research leave on May 1st to take up the role of Head of Department.
- Machine Learning for Medical Research
The state of the art AI technology has been playing significant role in medical fields. Recently, led by Prof Xiaohong Gao, Middlesex University is in partnership with several other institutions and NHS hospitals working on
- AI in early detection of cancers (funded by CRUK),
- AI in visualisation of HPV virus (funded by The Royal Society) and
- AI in Pathology (funded by CRUK).
More information on these funded projects are at:
- Endo.AI – Real time automated endoscopic detection of oesophageal squamous cell cancer in early and precancerous stages
- Deep Visualisation – Visualisation of super resolution microscopy data with structural contents using deep learning techniques
- PRISM – Machine Learning for Discovery of Pre-neoplastic signature in Mesothelioma
- Prof Juan Augusto is now a member of the BCS-SGAI Steering Committee
- Departmental Team wins BCS Machine Intelligence Competition
The Research Group on Development of Intelligent Environments, headed by Prof Juan Carlos Augusto from the department of Computer Science, won the first prize in this year British Computer Society (BCS) Machine Intelligence Competition which took place at BCS Headquarters in London during the 4th of October. The Middlesex University team won by a big margin against other finalist entries from Imperial College, Manchester Metropolitan, Southampton Solent/Algobroz and the University of Lincoln.
The team gave a live demonstration transmitted from the Smart Spaces Lab, currently hosted in Mdx Farmhouse, showing real advances in ambient intelligence and context-aware intelligent support. This research particularly aims at supporting vulnerable people and their carers at home. The technology uses sensors and actuators in a home automation setup, supported by a sophisticated AI architecture that reasons by analysing sensor data and provides intelligent analysis and services based on context and personalisation in real time.
The team who presented the system during the competition consisted of: M. Ali, J. C. Augusto, O. Benes, J. G. Manuel Gimenez, G. Ogbuabor, Ch. Oguego, and M. Quinde. However the team of MDX colleagues who contributed to the system one way or another was much larger. The following colleagues contributed with technical advice: Jill Stewart (S.L. in Housing & Environmental Health), Mark Springett (S.L. in CS, Interaction Design Centre), Carl James-Reynolds (S.L. in CS) and Ralph Moseley (S.L. in CS).
And the team wishes to specially thank the Department of Computer Science, the Faculty of Science and Technology management for the sustained support, as well as technical support from our university infrastructure, without all of which this achievement would not have been possible. The team photo shows (anti-clockwise from left to right): Chimezie Leonard Oguego (PhD student), Mark Springett (S.L. in CS, Interaction Design Centre), Murad Ali (PhD student), Godwin Okechukwu Ogbuabor (PhD student), Jose Gines (MRes student), Ondrej Benes (MRes student), Juan Augusto (Head of Research Group on Intelligent Environments and of Smart Spaces Lab) and Mario Jose Quinde (PhD student).
- Studentships offered as part of the Gamification to Increase Physical Activity projectThe Research Group on Development of Intelligent Environments is developing Gamification solutions supported by GLL and as part of that are offering three studentships suitable for UK/EU students. These grants are for :
- Master by Research (one year, full time) on a Gamification app for people with Special Needs
- PhD (three years, full time) on improving strategies and producing Gamification technology to attract and retain more people into phsyical activities
- PhD (three years, full time) on improving visual resources and using them to benefit current and future Gamification technology