Research output per year
Research output per year
Personal profile
Biography
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 lecturer in the Agile Tomography Group at the School of Engineering, University of Edinburgh.
Dr Liu’s current research interests include laser spectroscopy, laser imaging, data-driven imaging techniques and their applications to reacting flow-fields diagnostics and environmental monitoring. His expertise is in design of near/mid infrared LAS sensing systems, and development of high-sensitivity and data-driven laser imaging methodologies. It covers fundamental spectroscopic modeling, inverse problem solving, machine learning, 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
- 2D/3D data-driven optical imaging
- Laser sensing for combustion diagnosis and environmental monitoring
- Inverse problem
Research Groups
Agile Tomography Group
Education/Academic qualification
Testing, measurement technology and instrument, Doctor of Philosophy (PhD), Laser absorption spectroscopy tomography and monitoring of combustion process, Beihang University
Award Date: 15 Jan 2016
Automation, Bachelor of Science, Numerical simulation of appearance of gas-liquid two-phase vortex street in the vertically upward pipeline, Tianjin University
Award Date: 1 Jul 2010
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- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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A Spatially Progressive Neural Network for Locally/Globally Prioritized TDLAS Tomography
Si, J., Fu, G., Liu, X., Cheng, Y., Zhang, R., Xia, J., Fu, Y., Enemali, G. & Liu, C., 1 Oct 2023, In: IEEE Transactions on Industrial Informatics. 19, 10, p. 10544-10554Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Perspectives on instrumentation development for chemical species tomography in reactive-flow diagnosis
Liu, C., McCann, H. & Xu, L., Dec 2023, In: Measurement Science and Technology. 34, 12, 121002.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
FPGA-Accelerated Distributed Sensing System for Real-Time Industrial Laser Absorption Spectroscopy Tomography at Kilo-Hertz
Xia, J., Enemali, G., Zhang, R., Fu, Y., McCann, H., Zhou, B. & Liu, C., 24 Jul 2023, (E-pub ahead of print) In: IEEE Transactions on Industrial Informatics. p. 1-11Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Tomographic imaging of carbon dioxide in the exhaust plume of large commercial aero-engines
Upadhyay, A., Lengden, M., Enemali, G., Stewart, G., Johnstone, W., Wilson, D., Humphries, G., Benoy, T., Black, J., Chighine, A., Fisher, E., Zhang, R., Liu, C., Polydorides, N., Tsekenis, A., Wright, P., Kliment, J., Nilsson, J., Feng, Y., Archilla, V., & 10 others, 29 Nov 2022, In: Applied optics. 61, 28, p. 8540 8552 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Spatially Driven Chemical Species Tomography with Size-Adaptive Hybrid Meshing Scheme
Zhang, R., Si, J., Enemali, G., Bao, Y. & Liu, C., 1 Jul 2022, In: IEEE Sensors Journal. 22, 13, p. 12728-12737Research output: Contribution to journal › Article › peer-review
Open AccessFile
Activities
- 2 Invited talk
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Tomographic Absorption Spectroscopy for Combustion Diagnosis
Chang Liu (Invited speaker)
13 Aug 2018Activity: Academic talk or presentation types › Invited talk
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Aero-Engine Combustion Diagnosis and Trace Gas Sensing
Chang Liu (Invited speaker)
27 Dec 2018Activity: Academic talk or presentation types › Invited talk
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Laser Imaging of Turbine Engine Combustion Species (LITECS)
Mccann, H., Liu, C. & Polydorides, N.
1/09/20 → 31/08/24
Project: Research
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Cost-effective CO2 and CO monitoring with laser absorption spectroscopy
1/10/18 → 30/09/19
Project: Research Collaboration with external organisation
Datasets
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Data set for " CNN-aided Flooding Prognostic in Packed Column using Electrical Capacitance Tomography."
Yang, Y. (Creator), Jia, J. (Creator), Chen, Y. (Creator), Liu, C. (Creator) & Lucquiaud, M. (Creator), Edinburgh DataShare, 1 Feb 2023
DOI: 10.7488/ds/3151
Dataset
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Laser Absorption Spectroscopy Tomography of Dynamic Flames
Fu, Y. (Creator), Zhang, R. (Creator), Enemali, G. (Creator), Liu, C. (Creator) & Xia, J. (Creator), Edinburgh DataShare, 16 Nov 2022
DOI: 10.7488/ds/3783
Dataset