IT Services Manager
Responsible for the maintenance and development of theatre systems throughout the Trust. I manage the informatics flow and dissemination of data on a local and national level.
Applications Support Manager
I am responsible for the maintenance and support of a large third party software solution for the Mental Health and Community Services project at Cardiff, which services over 1500 users.
In addition to general application administration, I am responsible for system building and design, coordinating with the in-house development team, and liaising with the service leads to provide robust solutions to clinical practice.
10/2004 – 10/2006 Cardiff & Vale NHS Trust, Cardiff, UK
Systems Administrator
Primary responsibility of maintenance and support of the Maternity Information System, iSoft Protos.
Data analysis and extraction for audit, research and statistical purposes. Additionally, training clinical staff and advising on technical issues pertaining to maternity data collection.
09/2003 – 08/2004 Aperio Limited, Cambridge, UK
Project Engineer
The role of Project Engineer is involved in the collection, analysis and reporting of data obtained via a variety of geophysical and non-destructive techniques. Experience in a variety of civil engineering sectors including highways, construction and rail, with associated project management.
Welcome
Additionally, if you would like a formatted PDF, with current references, please contact me and I will supply accordingly.
Thanks for stopping by,
John Meredith
Experience
Education
Swansea University, Swansea, UK (Final Year)
MSc Health Informatics
The course content covers a range of recent informatics developments such as telematics, digital communications technologies and electronic health care records, data quality and project management. A major research project is to be conducted on a relevant topic during the third year.
De Monfort University, Leicester, UK (06/2003)
MPhil Digital Signal & Image Processing
(Thesis title: "Circle Detection for Non-gridded Data Utilising the Hough Transform") - Full Time Research Degree. Skills: Applied mathematics, computer programming with Visual C++ and Matlab. Academic paper published April 2003 with seminar at a research conference.
University of Leicester, Leicester, UK (06/2001)
Bachelor's Degree
BSc. Geophysics (Geological), 2nd Class Honours. Modules taken include; Principals of Geophysics, Mathematics, Computer Programming, Environmental Geoscience, Geological Mapping, Petrophysics, Physics, Stratigraphy.
The Ashcombe School, Dorking, Surrey, UK (07/1997)
Secondary School or equivalent
'A' Level examination results include; Geography, Physics & Mathematics.
GCSE examination results include; English Language & Literature, Design Technology, Sociology, Mathematics, Science, Geography & French.
Personal Statement
I always endeavour to be a hard working, caring, conscientious and reliable team member who is adaptable, flexible and able to think on their feet. Additionally, I have the ability to prioritise, highlight and undertake any necessary actions to achieve the desired outcome. An important capability is that I am able to recognise my own limitations and know when to seek further guidance. I have always striven to be efficient and productive, optimizing good time management and organisational skills.
Energetic environments allow me to operate at my best. I love the challenge of being kept on my toes, and the ability for a role to permit this is important to me.
During my Master’s research degree in Digital Signal & Image Processing, I was given the opportunity to present my work to a conference of peers at the University. I subsequently had a paper published and this experience has given me the ability to accurately and effectively communicate information in a professional setting. I found it rewarding to be able to share my opinions and ideas with colleagues in such a way, and drew positive criticisms from participating in a challenging intellectual environment.
My previous roles as Project Engineer and System Administrator have permitted me to expand upon the solid data analysis foundation that I derived from my MPhil degree. Management of both research and engineering projects has strengthened my skills in the academic, professional and public sector. I have gained experience working on complex data analysis of large scale data sets, and analysis for national statistical reporting.
Focussing these skills in the arena of Health Informatics has awarded me the opportunity to confidently develop and shape a career within the NHS that is both rewarding and challenging. My current Masters degree in this field has not only enabled me to build upon an already well established knowledge base, but has allowed the implementation of newly acquired skills and expertise.
I regard team work to be a vital skill in any working environment. Therefore, I have been fortunate to practice such expertise throughout my employment and academic history. Consequently, I have had experience dealing within multi-disciplinary teams. I have had experience dealing with multidisciplinary teams and have always maintained an excellent working relationship and good rapport with colleagues. The ability to interact with others of differing position and designation to achieve a common desired outcome has proved valuable.
Throughout my academic and employment history I have had to implement self management in addition to managing and overseeing the actions of others. Good time keeping is something that I have improved over the years. This has been greatly beneficial in my Master’s degree research where targeted deadlines were necessary.
Computing has always been a keen interest of mine, and something that I have expanded greatly since my childhood up to my current position. I have had experience in the programming and design, a background in C++ and Delphi, as well as the Microsoft Windows environment, and LINUX/UNIX. I am fully versed in the Microsoft Office suite, software from Adobe, Macromedia and use of AutoCAD, as well as bespoke solutions from independent software companies. I have a robust knowledge of PC building, and am constantly aware of the evolution of computer systems into the pervasive medium that they have become.
Additional Information
I was brought up in the Pontypridd area in South Wales and educated there until secondary school. I have been privileged from an early age to have lived in Saudi Arabia, and subsequently moved to Surrey, UK during my GCSEs. Added to my time studying at Leicester, I feel that I have gained a well rounded background and have experienced multicultural societies of various forms. This has provided me with all the social skills necessary to work in today’s diverse employment market.
My leisure interests are wide and varied. I have an active interest in various kinds of music and play guitar. At University I became heavily involved with student radio, hosting my own show and gaining in depth knowledge in the power of radio as an electronic form. I am a regular concert attendee, and love live music regardless of genre. Additionally I thoroughly enjoy mountain biking.
Web design is a passionate interest of mine, and I have built and maintained several web sites for professional companies and charities for a number of years.
Published Papers
“Circle Detection for Non-gridded Data Utilising the Hough Transform”
Faculty of Computer Science and Engineering, Research Conference Proceedings, De Montfort University, April 2003;
ABSTRACT:-
The Hough transform is a versatile method for detecting lines and geometrically described shapes for data analysis. When considering a geometric description of a circle, any two points can determine uniquely the radius and centre coordinates. By using a voting mechanism in the ‘parameter space’ to prioritize these image pixel locations, important features are weighted while noise and irregularities are discarded by being outvoted. The transform calculates all potential circles through 360° that could intersect all the chosen edge points.
Several Hough transform variants are in use today, but all suffer from computation timescale problems. Today’s ultra fast computers can now compute an image in minutes that would have taken hours a few years ago, but this is still often not fast enough and is certainly not yet real time. Susceptibility to noise, alternate data representations, and rigorous threshold testing determined that human interaction is a necessity for object detection. Computation of the complete parameter space allows for analysis in the reverse Hough transform with comparative ease opposed to the forward transform.
The final objective is to describe the methods’ ability to cope with noise and test its flexibility when dealing with non-gridded data. Key threshold and computation speed up techniques, and important features produced by the method are also described.
Full paper available on request.
