Chang Liu


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Dr Chang Liu received the B.Sc. degree in automation from Tianjin University, China, in 2010, and the Ph.D. degree in testing, measurement technology and instrument in Beihang University, China, in 2016. From April 2016 to January 2018, he was a postdoctoral researcher in the department of air pollution and environmental technology, Empa-Swiss Federal Laboratories for Materials Science and Technology (ETH Domain), Dübendorf, Switzerland. He is now a lecture in the Agile Tomography Group at the School of Engineering, University of Edinburgh.

Dr Liu’s current research interests include laser absorption spectroscopy (LAS), LAS tomography, and their applications to reacting flow-fields diagnostics and environmental monitoring. His expertise is in opto-electronic and opto-mechanical design of near/mid infrared LAS sensing systems, and development of high-sensitivity LAS tomographic methodologies. It covers fundamental LAS modeling, inverse problem solving, signal processing, embedded system and hardware/software interface design. In collaboration with worldwide industrial and academic partners, Dr Liu and his team focus on providing cutting-edge laser-based sensing solutions for various challenging problems in both the industry and academia.

Research Interests

• Laser absorption spectroscopy (LAS)
    o Direct absorption spectroscopy
    o Wavelength modulation spectroscopy
    o LAS tomography
• Reacting flow-fields diagnostics
    o Real-time and in situ combustion monitoring
    o Laser-based measurement in harsh environment (e.g. gas turbine, IC engine and power plant)
• Environmental monitoring
    o Field-deployable trace gas sensing
    o Spatially/temporally resolved pollutant monitoring
    o Simultaneous analysis of multiple gases at ppm/ppb level
• Inverse problem
    o Image reconstruction algorithms
    o Regularisation methods

Research Groups

Agile Tomography Group

Education/Academic qualification

Testing, measurement technology and instrument, Doctor of Philosophy (PhD), Beihang University

Award Date: 15 Jan 2016

Automation, Bachelor of Science, Tianjin University

Award Date: 1 Jul 2010


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