Editor: Manuchehr Soleimani
Super-sensing by means of tools developed through Industrial Process Tomography (IPT) has great advantages for real time monitoring in many application areas, across many industry sectors, such as pharmaceutical and biochemical formulation, food processing, oil and gas production, chemical and material manufacturing and more. Super-sensing uses multi-dimensional sensors to form dynamic images of components in a wide range of processes in real-time and non-destructively. These tools enable key functional parameters of these processes to be acquired in real time, helping to improve manufacturing efficiency and enhancement of product quality. Mathematical methods in tomographic imaging make super-sensing devices spatially and temporally aware and therefore provides a true smart industrial monitoring solution.
Cover image: Magnetic induction tomography sensor (K Wei, M Soleimani)
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About the Guest Editors
Dr Manuchehr Soleimani works in tomographic imaging. The work involves the hardware, software and sensor development of new and emerging tomographic imaging techniques and the image analysis of conventional imaging techniques such as X-ray CT. Particular interests are in electrical and electromagnetic imaging, nonlinear inverse problems, volumetric image reconstruction in X-ray CT, and multi-modality imaging. Dr Soleimani has a BSc in Electrical Engineering and an MSc in Biomedical Engineering. He obtained a PhD from the University of Manchester in 2005. He became a lecturer in 2008 and has been promoted to Senior Lecturer in 2013 and then to Reader in 2015. Dr Soleimani established, and also leads, the Engineering Tomography Laboratory.