My research interests include biomedical engineering and computing, design of medical instrumentation, digital signal processing and knowledge based and expert systems and recently AI and machine learning. My work on novel instrumentation for characterisation of electrostatic properties of pharmaceutical aerosols has significantly contributed to the UK’s standing in this area. I have designed several prototypes of novel instruments for aerosol characterisation such as the PSCA, BCMS, FBCMC. These instruments provide fast, measurement capability of the total bipolar charge fractions on a population of aerosol particles primarily in the inhalable particle size range between 0.5 to 10um. The experimental results obtained from pharmaceutical aerosols clearly showed that active drug component mixed with a carrier substance modifies the electrostatic properties of the pharmaceutical sample. This discovered effect has very important implications for the drug formulation and the design of a new generation, more efficient medical inhalers. The research work was supported by GlaxoSmitkline. Before joining USW in 2004, I worked as a Research Fellow at Brunel University where I developed a knowledge-based system supporting design of metal forming processes. The EPSRC (GR/N21611/01) funded research was in collaboration with six industrial partners and contributed to UK competitiveness by providing reduced engineering work overhead costs.

Since 2006 I have led the Biomedical Engineering and Computing Research Group in collaboration with Cardiff and Vale University Health Board (UHB). My current research, supported by EPSRC, KESS and the NHS, has produced new insights into the way patients with musculoskeletal deformities are assessed and diagnosed resulting in significant changes proposed towards a new clinical protocol for postural assessment. Key achievements together with collaborators include: the design and implementation of novel algorithms for anthropometric feature extraction and classification of musculoskeletal deformities, the development of a novel heuristic method to dynamically control a digital skeleton to represent the spinal shape from a set of anatomical markers and a new algorithm for localisation of anatomical landmarks using a combination of Bayesian probability and an iteratively reweighted least squares method.

Since October 2019 I have been a PI on a project titled “Clinical Decision Support System for Skin Monitoring and Melanoma Detection using Machine Learning” funded via KESS program and the NHS. The aim of the project is to develop a machine learning and advanced image processing algorithm which could lead to new approaches in skin monitoring and early melanoma detection. This project is conducted in collaboration with the Clinical Bioinformatics team, CVUHB and the Institute of Dermatology, University Hospital of Wales, Cardiff represented by Dr Richard Motley.

I have 25 years of research and teaching experience in computing and electronics. I gained my M.Eng degree in Electronics and Computer Science from Krakow University of Technology, Poland in 1995 and Ph.D from Brunel University of West London, UK in 2003.

Employment history

2014 – present, Associate Professor (Reader), School of Computing and Mathematics, USW, UK.

2004 – 2014 Senior Lecturer, School of Electronics, University of Glamorgan, UK.

2003 – 2004 Research Fellow at Brunel University, UK.

1999 – 2003 Research Student, Brunel University, UK.

1995 – 1999 Lecturer, Krakow University of Technology, Poland.

I have supervised over 30 MSc and M Eng dissertations, 50 BSc and BEng dissertations and 6 PhD dissertations as well as conducted 10 PhD examinations. I have published over 70 papers in international journals and conference proceedings, secured external research funding from funding bodies such as an EPSRC, Department of Trade and Welsh Assembly and the NHS totalling over £400,000. In July 2016, I was elevated to a grade of Senior Member of the IEEE. More research info: 

• Biomedical Engineering and Computing Research Group
• Artificial Intelligence Paradigms (CSAIP) Research Unit
• LinkedIn 
• ResearchGate 
• Google Scholar 
• Orcid
• IEEE explore 
• Mendeley

Over the last 25 years I have taught at both undergraduate and postgraduate level including: Undertaking lectures, tutorials and lab demonstrations in the following modules: Robotics, Advanced Data Structures and Algorithms, Object-Oriented Analysis & Design, Software Engineering , Digital Signal Processing, Web Security, E-commerce Implementation, Digital and Analog Electronics, C Programming and Software System Design, Network and Interfaces Fundamentals, Internet Systems, Internet Technologies, Multimedia Technology and Programming.

• Biomedical engineering and computing

• Design of electronic instrumentation
• Software design and development
• Knowledge Base Systems and Engineering Knowledge Management
• Mathematical modelling
• Aerosol particle characterization
• Finite element analysis
• Computational particle electrodynamics
• Computational Intelligence