WELCOME TO THE INTELLIGENT SENSING, ANALYSIS & CONTROL GROUP

The Intelligent Sensing, Analysis and Control Group (ISAC) at the University of Edinburgh aims to advance the research areas of sensing and imaging with miscellaneous tomography modalities, and machine learning techniques for (biomedical/industrial) process analysis. The goal of the research is to improve the observability in both industrial and biomedical processes for enhanced control and fault diagnosis, and address the pressing challenges of efficient utilisation/interpretation of enormous sensing data generated by multiple sensing modalities. 

  • 1.png

    Wu, H., Buschle, B., Yang, Y., Tan, C., Dong, F., Jia, J., & Lucquiaud, M. (2018). Liquid distribution and hold-up measurement in counter current flow packed column by electrical capacitance tomography. Chemical Engineering Journal, 353, 519-532.

  • 2.png

    Yin, X., Wu, H., Jia, J., & Yang, Y. (2018). A Micro EIT Sensor for Real-time and Non-destructive 3-D Cultivated Cell Imaging. IEEE Sensors Journal, 18(13), 5402-5412.

  • 1.png

    Wu, H., Buschle, B., Yang, Y., Tan, C., Dong, F., Jia, J., & Lucquiaud, M. (2018). Liquid distribution and hold-up measurement in counter current flow packed column by electrical capacitance tomography. Chemical Engineering Journal, 353, 519-532.

  • 3.png

    Wu, H., Yang, Y., Bagnaninchi, P. O., & Jia, J. (2018). Electrical impedance tomography for real-time and label-free cellular viability assays of 3D tumour spheroids. Analyst, 143(17), 4189-4198.

b.png
UoE_Centred-Logo_white_v1_160215.png

The Intelligent Sensing, Analysis & Control Group

© 2020 by Yunjie Yang

UoE.png