Next-generation measurement systems: future challenges and opportunities

In this webinar, experts explore the possibilities of signal processing in response to the future challenges and opportunities of advanced measurement systems. The speakers will cover a broad spectrum of topics ranging from basic to industrial research, organized in concise thematic sections that reflect the trends and impact of current and future developments per research field.

If you would like to delve a little deeper, read our latest ‘Roadmap on signal processing for next-generation measurement systems’: https://bit.ly/3jt5z9z.

About the speakers:
- Dimitris K Iakovidis is Editor of the ‘Roadmap on signal processing for next-generation measurement systems’. He is Professor at the University of Thessaly, Greece, and the Director of its Biomedical Imaging Laboratory. His research focuses particularly on digital signal processing and medical decision support systems.

- Andrew Yacoot is Editor-in-Chief of Measurement Science and Technology. He leads the dimensional nanometrology work at NPL and chairs the BIPMs Consultative Committee for Length's Working Group on Dimensional Nanometrology.

- Manus Henry is Director of the Advanced Instrumentation Group at the Department of Engineering Science, University of Oxford, UK, and Professor of Flow Management, Coventry University, UK. His interests, include self-validating sensors and systems, particularly in flow measurement and enabled through signal processing.

- Silvano Donati is an Emeritus Professor at the University of Pavia, Italy, with a wealth of experience in the application of laser diodes to optical techniques, particularly in the area of interferometry and noise limits. He is the inventor of self-mixing interferometry.

- Jianghui Geng is a professor and director of the Satellite Navigation and Positioning Technology Research Center of Wuhan University, China. He is particularly interested in the challenges presented by multi-constellation and multi-frequency GNSS signal processing.

01:11:00