Dr Andrzej Tarczynski

I have received my both degrees: MEng in Electrical Engineering and PhD in Automatic Control from the Warsaw University of Technology (WUT). WUT was also the place where spent my early years as an academic.

Since 1991 I have been working for the University of Westminster. During these years I have participated in a number of research, consultancy and knowledge transfer projects, and took administrative roles at the University including course leadership, and director of research. I have published more than 80 research papers and supervised around 30 research students. I am reviewer of research papers for a few leading journals in the area of signal processing and system analysis and regular reviewer of research grant applications for the Foundation for Polish Science. I have been a member of the programme committee of research conferences including EUSIPCO, MOBILWARE and SAMPTA.

Apart from the academic career I have also engaged with industry. I have been working for Computex Ltd and POTINFO Ltd - both in Warsaw, Poland where I participated in and led major projects such as a system for designing gear boxes for heavy vehicles and machinery, or a customer billing system for Polish Telecom. In my consultancy activities I delivered a variety of projects for Kodak, Rolls-Royce, DSPG Ltd, GP Systems Engineering, and Sortex Ltd. I have participated in professional training in the areas of Control Engineering, Digital Signal Processing and System Analysis for staff from Kodak, Omron, GEC Plesely and others.

My research is carried out mainly within the System Analysis Research Group that I have lead since 2004. The nature of this work is such that it impacts, interplays and liaises with a variety of academic and non-academic domains. Activities encompass blue-sky research, knowledge transfer, industrial consultancy and training.

I have participated in a number of interesting and challenging projects where the academic expertise was fused with industrial partners' skills to solve their specific problems and create positive impact on their business-related activities.

My work for Kodak PLC helped the company setting up highly accurate and reliable systems for automatically controlling temperature profiles in their chemical reactors. By combining expertise in system modelling techniques, numerical analysis and the theory of systems I provided expert help to GP Engineering on selected aspects in design of military vehicles and also to Sortex Ltd on reengineering their electro-mechanical fruit sorters to put paid to technical issues that adversely affected their customer satisfaction.

Together with DSPG Ltd, an SME in London, I engaged in a Knowledge Transfer Partnership project where our Digital Signal Processing (DSP) expertise helped the company to improve their systems for autonomous monitoring and rating the quality of voice and data signal transmission over telephone lines.

About 15 years ago my research was attracted to apparent loopholes in the long-standing theory of DSP. DSP has been developed since the advent of computers and their use for interacting with external processes. These days, mobile phones, digital radio and television, satellite navigation, digital cameras and many other devices and systems strongly depend on DSP to collect, process store and present back variety of information.

My colleagues and I noted that although the widely used requirements that define how the information should be collected in order to deliver required DSP objectives are sufficient to achieve these goals, they are often not necessary. This small difference in the formal interpretation of the existing theory led to an observation that many DSP solutions are unnecessarily expensive in terms of required data processing speeds, data storage, computational and electrical powers. Since then I have been co-developing the theory of Digital Alias-free Signal Processing that exploits the discovered cracks in the classical approach and offers cheaper and more efficient solutions to many practical problems.

These methodologies were used in collecting and processing information in Nuclear Magnetic Resonance Spectroscopy, tested with Rolls-Royce in their novel system for monitoring the compressors' blades in jet engines, were shown to offer competitive solutions to spectrum sensing in cognitive radio and sensor networks. This theory is developed in collaboration with international partners and supported by the EU.

I collaborate with colleagues in other research teams across Faculty of Science and Technology including Wireless Communication, Centre for Parallel Computing or Advanced DSP and VLSI.

I am a member of IET, IEEE and I have Charted Engineer (CEng) accreditation from IET.