Presently I have been working as a Senior Lecturer in the School of Science and Technology. I completed my PhD research in Image Processing System Architecture from King's College London. I also completed PGCHE from Middlesex University. My MSc was in Digital Systems and BSc (Hons) was in Electrical and Electronic Engineering.
BSc (Hons), MSc, PhD, PGCert HE, MIET
Other modules taught:
My current research interests are in the following areas: image processing applications, image retrieval in medical applications, speech and audio processing for hard of hearing people, technological development program in the developing countries, and ageing (elderly technology) and mobility issues in built environment.
The EPSRC funded research project investigated vision based system for visually impaired and blind people. This research investigated different image enhancement techniques and the existing image processing algorithms for such vision based system. The work also included indoor object detection, and outdoor scene analysis.
Other research activities currently involve applications in the following areas: image processing techniques to enhance and identify indoor images for navigation purpose in a built environment, diabetic retinopathy related problems, speech and audio processing applications, intelligent water and pollution monitoring system, efficient sign language communication over mobile phones, and interference management in Femto-Macro LTE Cellular Network.
Other activities include: organised invited session, * reviewed EPSRC grant proposal, journal papers, conference papers and books, * supervised PhD and post-doc students, * participated in PhD registration and transfer meeting, and * participated as a technical program committee member.
This is an ongoing research investigating different interference mitigation techniques in LTE network. The research is looking into an efficient way to mitigate interference and improve system capacity in the existing Femto-Macro two tier networks. In the proposed scheme, a novel frequency planning for two tiers cellular networks using frequency reuse technique has been proposed. This novel frequency reuse technique aims to mitigate interference by improving system throughput.
Currently a PhD student is working in this area andfour papers have been published based on the initial findings.
This is an ongoing research looking into establishing a framework where it is investigating how perceptual redundancy can be utilised incorporating Distortion Metric, Mode Decision and Rate Control operating at the block level of the encoder.
Currently a PhD student is working in this area and one paper and one poster paper have been published on the basis of the initial findings.
The aim of this research project was to develop an intelligent vision based portable mobility aid for visually impaired and blind people. The main focusof the research was to assist in guiding visually impaired and blind people by identifying objects and landmarks as they walk along their path. The research work established a novel shape based matching algorithm for object detection from moving image sequences. The work also investigated different methods and algorithms. The work looked at other aspects, such as location awareness, indoor navigation and other novel techniques to identify objects commonly found in an indoor environment.
A post-doc student conducted first part of the above research which was funded by the EPSRC grant. The second part of the research was carried out by a PhD student who completed his PhD degree on the indoor navigation aspect of this research. Several papers have been published on the basis of the research outcome.
This research work investigated the 'database interoperability' issues and it established a framework for integrating molecular biology databases. The research proposed a component database for gene mutation data and it outlined how to develop a cooperative environment for the molecular biology databases to share information on a common ground. The research also proposed a new concept of image object keying for multi-database query and it developed a matching algorithm using gel electrophoresis image. The research showed how the conventional SQL scripts for multi-database query could be replaced by using image object keying method. This research resulted in a successful PhD completion and it produced a number of papers.
The research addressed the security issues used in communication network. It specially looked in the following areas: current security technologies with respect to interoperability issues, interoperability between different security elements, and use of proactive strategy.
This research has looked at the following issues: effective automated screening, better use of image processing techniques, complexity, and the usability issues. It is anticipated that a new PhD student would continue with this research. The objective is to contribute in developing an automated user-friendly prototype system which will be effective in detecting diabetic retinopathy related problems in a broader context. The research will also look at the hardware issues, such as the possible use of Digital Signal Processor (DSP) and other hardware processors to achieve real-time performance.View more publications
EPSRC total grant value: £59437.01 for post-doc research, EPSRC Research Grant Ref. No.: GR/N25275/01, Title of Research Project: DYNAMIC SCENE INTERPRETATION FOR PEDESTRIAN NAVIGATION SYSTEM TO AID VISUALLY IMPAIRED PEOPLE, Project duration: 2 years.
As a result of my research work in the area of image processing, I managed to establish a link with Texas Instruments who donated a number of DSP equipments to support my research work.