Guest Editors
Mingyang Lu
University of Manchester, School of Electrical and Electronic Engineering
Mingyang Lu received the BS and PhD degrees from the School of Electrical and Electronic Engineering, University of Manchester, Manchester, U.K., in 2014 and 2018, respectively. He is currently a Research Scientist at the University of Manchester. He has published numerous papers in the research field of eddy current sensors, magnetic induction sensing, Electromagnetic (EM) Non-destructive testing (NDT), finite-element method (FEM) modeling software packages on EM analysis, and inversion of EM properties for metallic structure. (Google Scholar: https://scholar.google.com/citations?user=o-W4s0kAAAAJ, Over 55 technical high-impact articles, Google scholar citations >1000, H-index > 20) He was a recipient of the 2020 IEEE Instrumentation and Measurement Outstanding Reviewer Award. He is an Associate Editor of IEEE Transactions on Instrumentation and Measurement (https://ieee-ims.org/contact/mingyang-lu) He has conducted over 250 reviews for 35 prestigious Journals and conferences.
Xiaobai Meng
University of Northampton, Faculty of Art, Science and Technology
Xiaobai Meng (BA, MA, PhD) is currently a Researcher with the Faculty of Art, Science and Technology, University of Northampton, after graduating from the University of Manchester. Her current research interests include non-destructive eddy current sensing, magnetic sensors, and electromagnetic modeling. She has authored a number of articles in prestigious journals, including Nano Energy, IEEE Transactions on Instrumentation and Measurement, NDT and E International, and Sensors. She is also served as a reviewer for several journals, including Measurements, IEEE ACCESS, etc.
Wuliang Yin
University of Manchester, School of Electrical and Electronic Engineering
Wuliang Yin (M’05–SM’06) was appointed as an MT Sponsored Lecturer with the Department of Electrical and Electronic Engineering, School of Engineering, University of Manchester, Manchester, U.K., in 2012, promoted to Senior Lecturer in 2016 and Reader in 2020. He has authored one book, more than 300 papers, and was granted more than ten patents in the area of electromagnetic (EM) sensing and imaging. He was a recipient of the 2021 Best Application Award from IEEE Instrumentation and Measurement Society, the 2014 and 2015 Williams Award from the Institute of Materials, Minerals and Mining, and the Science and Technology Award from the Chinese Ministry of Education in 2000.
Collection Overview
Electrical sensing techniques have been used in diverse applications. Commonly used electrical sensing techniques include resistive sensing, capacitive sensing, and electromagnetic sensing. By analyzing variations or perturbances of the electric field, magnetic field, or electromagnetic field, electrical sensing techniques are commonly applied to the displacement measurement (e.g., using X-ray), interrogation of steel (e.g., electromagnetic eddy current testing), imaging of bio-tissues (e.g., magnetic resonance imaging, capacitive imaging), measurement of conductivity or permittivity (e.g., electrical resistance tomography), remote sensing, electromagnetic navigation, and fluid level measurement, etc. Recent progress of electrical sensing involves the innovation of sensor designs, processing algorithms, instrumentation, and measurement strategies. Topics of this collection are (but are not limited to):
Electrical sensor designs, electrical modeling techniques, electrical signal processing algorithms, electrical imaging, electrical instrumentation and measurement strategies, electrical remote sensing.
Articles
Abstracts
Automated Detection of Myocardial Infraction Detection Using Deep Neural Networks
Sandeep Raj*1,
Nishant Kumar1
1Dept. of ECE, Indian Institute of Information Technology Bhagalpur
Combining laminar neurophysiology and optogenetics with micro-ECoG in rodents for multiscale investigations of cortical processing.
Kristofer Bouchard*1,
Pierre-Marie Garderes2,
Nicholas Chin3,
Daniel Feldman*2
1Lawrence Berkeley National Laboratory and UC Berkeley,
2UC Berkeley,
3Lawrence Berkeley National Lab