Graduate scopes IET Prize for best PhD
Recent graduate, Jaime Zabalza, has been awarded the prize for best PhD thesis 2016 in the IET Vision and Imaging professional network.
This highly contested award included strong contributions from major UK universities active in this field. Jaime’s thesis entitled "Feature Extraction and Data Reduction for Hyperspectral Remote Sensing Earth Observation” investigated new signal processing techniques for Hyperspectral Imaging. It was supervised by Dr Jinchang Ren and Professor Stephen Marshall of the Department's Centre for Signal & Image Processing.
Supported by a University Scholarship during this PhD, Jaime authored 10 journal papers including 5 IEEE transactions. He received his prize at an award ceremony in the IET London, Savoy Place on 13 December.
Developing new links in Asia
Professor Stephen Marshall of the Department and Professor Gail McConnell of the Strathclyde Institute for Pharmacy & Biomedical Sciences, as part of a Royal Society of Edinburgh exchange grant, visited Taiwan to explore opportunities for academic collaboration within the areas of Hyperspectral Imaging and Biophotonics. They delivered a series of seminars to staff and students at a number of leading universities based in Taipei, including the National Yang-Ming University, the Institute of Biophonics, National Taiwan University and the Institute of Atomic and Molecular Sciences at the Academia Sinica.
In addition to visiting Taipei, Professor Marshall then travelled to Hualien to meet with the President Josh Chao, staff and students of National Dong Hwa University (NDHU) to advise on establishing a Vertically Integrated Projects (VIP) Programme. NDHU see Strathclyde as the ideal model for implementation of a VIP programme because of the diversity of projects. Further visits to Taiwan are now planned to build capacity in these research areas.
- Dr Carmine Clemente, with Domenico Gaglione, Christos Ilioudis and Prof John Soraghan from the Sensor Signal Processing and Security Labs in the Institute of Sensors, Signals and Communications has won Europe's biggest space technology innovation competition. The team, which developed the idea with support from the Strathclyde Space Institute and Scottish Centre of Excellence in Satellite Applications (SoXSA), was overall and UK regional winner of the European Satellite Navigation Competition for a low-cost early detection system for Unmanned Aerial Vehicles.
3-day CPD Course: "TV White Space Communications"
The course will present a full review of the technologies for TV White Space wireless communications. Utilising the Department’s extensive experience of R &D, and its design and deployment of networks in the UK and Kenya, it will examine the history of TV White Space, the evolution and methods for Dynamic Spectrum Access (DSA) and explore the key hardware and software technologies for the design of radios integrated with the development of databases.
Further details available from Dr David Crawford.