| Name |
Manuchehr Soleimani |
 |
| Titles & Positions |
Professor of tomographic imaging, University of Bath, Bath, UK |
| Affiliation |
Professor Manuch Soleimani, Electronic and Electrical Engineering,Engineering Tomography
Lab (ETL) 2E 3.23, Elec. Eng., University of Bath, Claverton Down, Bath, BA2 7AY, UK.
Tel: +44(0) 1225386310 |
| Contact Information |
Email: m.soleimani@bath.ac.uk |
| Presentation Title |
Intelligent multi-modality super-sensing for process monitoring |
| Abstract |
| In past few years, the field of industrial process tomography becomes very popular again. There are two main reasons for that: first there has been stronger evidence of the successful applications in real processes, and second better data analysis tools become available due to the new era of digital revolution. In this presentation, we will show some key applications of electrical and electromagnetic tomography in real process applications. As these early demonstrations have shown great potential of process tomography, they have also stimulated an urgent need for multi-modality imaging to characterize real life applications. We overview the progress made in combination of electrical tomography with ultrasound tomography as well as temporal and spectral expansion to the single imaging modality. Although the systems used in process tomography don’t provide imaging resolution similar to that of MRI and CT, they contain enormous amount of data to monitor the function of processes. Hence, the machine learning and optimization techniques will become a critical tool for both extracting important process information from multi-modality imaging systems and realizing process optimization when linked with process models such as CFD and process functions such as control function. |
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| Biographical Sketch |
| Manuch is leading Engineering tomography Lab (ETL) at the university of Bath. The ETL lab works closely with international partners as well as industrial end-users in area of tomographic imaging. Main focuses are in multi-modality imaging system and methods. Manuchehr Soleimani received the B.S. degree in electrical engineering, the M.S. degree in biomedical engineering, and the Ph.D. degree in inverse problems and electromagnetic tomography from The University of Manchester, Manchester, U.K., in 2005. From 2005 to 2007, he was a Research Associate with the School of Materials, The University of Manchester. In 2007, he joined the Department of Electronic and Electrical Engineering, University of Bath, Bath, U.K. He is currently a Professor and works in the area of intelligent tomographic imaging for medical and industrial applications. |
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