Paul Meaney elected Fellow of IEEE

​From January 2018 Paul Meaney, Professor in microwave imaging for biomedical applications, is elected IEEE Fellow for his contributions to microwave tomography and its translation to clinical use. ​IEEE Fellow is the highest grade of membership in the world’s largest technical professional organization, given to persons with an outstanding record of accomplishments in any of the IEEE fields of interest. Professor Paul Meaney was recruited to Chalmers and the research group Biomedical electromagnetics in 2015. He also holds a position as Professor of Engineering at Dartmouth’s Thayer School of Engineering, Hanover, New Hampshire, USA.
“To be appointed Fellow of IEEE is for me a nice validation that microwave tomography is for real and can be applied in real world situations”, says Paul Meaney.

While the field is generally dominated by numerical modelers, translation to a working system has been a huge stumbling block.

“Our work draws from a variety of imaging fields outside of the microwave domain. We previously collaborated with groups working in near infrared imaging, electrical impedance imaging and MR elastography. In depth discussions with these groups formed many of our design choices. From a classical microwave antenna standpoint, many of our design concepts often appear counterintuitive. However, when taking into account a broader array of ideas, it becomes clear that our synergism of various techniques is well grounded in classical mathematics and physics. These methods have been crucial in translating the technology to the clinic”, Paul Meaney comments.

Developing a microwave imaging system has required inputs from multiple disciplines.

“We have become experts in designing and building custom microwave electronics systems that achieve higher dynamic range, along with excellent cross channel isolation, than what is available in most commercial measurement systems. The monopole antenna concept is remarkably simple and counterintuitive yet most closely meets all of our system requirements. We have also delved heavily into numerical modeling and parameter estimation theory to devise algorithms which interact optimally with our physical illumination chamber concept. Being able to draw conclusions from these different cross-disciplinary areas of expertise has been crucial in our success”, Paul Meaney concludes.


Author: Yvonne Jonsson, Chalmers University of Technology

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