Keynote Speaker 

Professor Wuqiang Yang 

Professor, School of Electrical and Electronic Engineering, The University of Manchester, UK.

Title of Lecture: Electrical capacitance tomography and industrial applications 


Among various industrial tomography modalities, electrical capacitance tomography (ECT) is the most mature and has been used for many challenging applications. ECT is based on measuring very small capacitance from a multi-electrode sensor and reconstructing the permittivity distribution in a cross section of an industrial process. Because of very small capacitance to be measured (1×10-5 pF) and the “soft-field” nature, ECT does present challenges in capacitance measurement and solving the inverse problem. The latest AC-based ECT system can generate online images at 100 frames per second with a signal-to-noise ratio (SNR) of 73 dB. During this lecture, ECT principle will be discussed, including image reconstruction algorithms. The AC-based ECT system will be introduced, including hardware design and its performance. Examples of industrial applications include gas/oil/water flow measurement, and imaging fluidised beds for pharmaceutical manufacturing, clean coal combustion and methanal-to-olefin conversion. Future developments will also be highlighted. It is likely that a live demonstration how an ECT system works is given during the lecture.

Speaker's Bio-sketch:

Wuqiang Yang (FIEEE, FIET, FInstMC, CEng) graduated from Tsinghua University, China. Since 1991, he has been working with UMIST and The University of Manchester in the UK. He became Professor of Electronic Instrumentation in 2005. His main research area is ECT and its industrial applications. His technical achievements and social impact are indicated by the fact that many companies and universities use his ECT instrument, to deal with challenging problems, such as multiphase flow measurement and imaging fluidized beds. He has published >400 papers and two books with an h-index of 58. He is an Associate Editor of IEEE Open J. IM, and IET Sci. Meas. Technol., and editorial board member of Meas. Sci. Technol., and visiting professor at several universities. He received several national and international awards, including 1997 IET/NPL Measurement Prize and 2021 IEEE IMS Best Application Award. He was an IEEE Distinguished Lecturer from 2010 to 2016, and one of key organizers of IEEE International Conference on Imaging Systems and Techniques for many years. His biography has been included in Who’s Who in the World since 2002. 

Plenary Speaker 

Professor Mihaela Albu

Professor, Department of Electrical Engineering, Politehnica University of Bucharest, Bucharest, Romania  

Title of Lecture: Measurements for Emerging Low-inertia Power Systems 

Plenary Speaker 

Professor Boby George

Department of Electrical Engineering, Indian Institute of Technology, Chennai, India

Title of Lecture:  Sensor Interfacing and Latest Trends 


Sensors have an indispensable role in the modern industry, in maintaining productivity, reliability, quality, and safety. In certain applications, sensors need to have additional features such as self-diagnostics, self-calibration, and a certain level of smartness to meet the key requirements. Every sensor requires an electronic interface or interfacing circuit. It is the interfacing circuit that extracts the measurand information that is embedded in the signal from the sensing element and converts it into the form suitable for use by systems for monitoring, automation, and control. The utility, reliability, and versatility of a sensor depend heavily on the efficiency of the interfacing circuit. A brief history of the sensor interfacing, key sensor interface design aspects, examples of sensing certain interesting and important parameters which were not practically measurable without the help of specially designed interfacing circuits, and the latest trends in this area will be discussed in this talk. In some applications, even with the best sensing elements and interfacing circuits available, the measurand remains hidden until we use the latest signal processing or machine learning approaches. Such an example will also be discussed.

Speaker's Bio-sketch:

Received the M. Tech. and Ph. D. degrees in Electrical Engineering from the Indian Institute of Technology (IIT) Madras, Chennai, India, in 2003 and 2007, respectively. He was a Postdoctoral Fellow with the Institute of Electrical Measurement and Measurement Signal Processing, Technical University of Graz, Graz, Austria from 2007 to 2010. He joined the faculty of the Department of Electrical Engineering, IIT Madras in 2010. Currently, he is working as a Professor there and head of the department of Medical Sciences and Technology. His areas of interest include magnetic and electric field-based sensing approaches, sensor interface circuits/signal conditioning circuits, sensors and instrumentation for Biomedical, automotive and industrial applications.

He has co-authored more than 80 IEEE transactions/journals. He is an Associate Editor for IEEE Sensors Journal, IEEE Transactions on Industrial Electronics, and IEEE Transactions on Instrumentation and Measurement.