Program Overview

The academic staff in the Applied Computing Department (ACD) are all engaged in research and publications. Considering its modest size, ACD has successfully attracted research funding from various sources in the UK and the EU, including industry, research councils, HEA and EU framework projects such as FP6. Furthermore, ACD has been working and collaborating with many European research institutions.

For the academic year, 2012-2013, two PhD and six MSc students (one in Mathematics) have graduated, four of whom graduated with Distinction. The two PhD students have made it for the March graduation and we expect to have three or four more completing their PhD research programmes for the next graduation. One of our new PhD students in Computing joined the Department last October, and three other PhD students have joined us since. Over the last few years, the number of research students in ACD has grown steadily to (currently) 29 PhD and two Master’s research students.

We have had over 20 refereed conference and journal papers published during the last 12 months, and two of the papers have been awarded best paper awards.

ACD supports diverse research topics addressing varied applied computing technologies such as:

• Image processing and pattern recognition with applications in biometric-based person identification, image super-resolution, digital watermarking and steganography, content-based image/video indexing and retrieval, biomedical image analysis.
• Multi-factor authentication and security algorithms.
• Wireless networks technologies (Multi-frequency Software-Defined / Cognitive Radios, convergence and integration of different wireless technologies and standards such as WiFi and WiMax, IPv4 and IPv6, wireless mesh technologies, intrusion detection and prevention, efficiency and stability of ad hoc networks).
• Hybrid navigation and localisation integrations for mobile handsets, including using Cellular and WiFi in conjunction with GPS and Glonass for seamless positioning indoors, Multiplexed receive chain of GPS/Glonass with on-board handset Bluetooth/WiFi, GNSS signals multiplexing for real-time simulation.
• Cloud computing, including the readiness of mobile operating systems for cloud services and focusing on techniques for fast computing handovers, efficient virtualisation and optimised security algorithms.
• Data mining techniques, including database systems, the application of data mining techniques in image and biological data, human-computer interaction and visual languages.
• Research and development of Apps for mobile devices and smart TVs, particularly for application in the areas of education and healthcare.
• Differential geometry – Einstein metrics, quasi-Einstein metrics, Ricci solitons, numerical methods in differential geometry.

As well as researching the chosen subject, our students engage in delivering seminars weekly, attending conferences and workshops, attending online webinars and discussion forums, attending training and focused group studies, supervising tutorial and laboratory sessions for undergraduate students, peer reviews and final year project supervision, among a host of technical and networking activities to enhance their skills and techniques.