Personal profile


Dr. Yunjie Yang is a Senior Lecturer (Associate Professor), Chancellor’s Fellow in Data Driven Innovation and Bayes Innovation Fellow at The University of Edinburgh. He is also the research affiliate of the Edinburgh Futures Institute. He received his Ph.D. in Engineering Electronics from The University of Edinburgh, MSc in Control Science & Engineering from Tsinghua University, and BEng in Measurement & Control Engineering from Anhui University. In 2018, he briefly worked as a Postdoctoral Research Associate in Chemical Species Tomography at The University of Edinburgh.

Dr. Yang’s research interests are in the areas of sensing and imaging with AI-powered tomography, machine learning, digital twins, and flexible sensors for wearables and robotics. His research aims to improve observability in industrial (e.g. multiphase flows), robotics (e.g. soft robotics), and biomedical engineering and to address the pressing challenges of efficient utilization/interpretation of enormous sensory data. His research has led to over 100 peer-reviewed journal and international conference publications, many of which were published in high-impact journals such as Nature portfolio journals (Nature Machine Intelligence, Communications Engineering), IEEE TNNLS, TMI, TBME and TIM. His research has been licensed to overseas research institutes and industry partners and received wide media coverage, including BBC, EFE, USA Today and STV. 

He is the Associate Editor of IEEE Transactions on Instrumentation and Measurement, the Editorial Board Member of Scientific Reports, the Guest Editor of IEEE Sensors Journal, and serves as the regular reviewer for over 50 high-impact international journals. He served as the track chair of multiple international conferences, including IEEE I2MTC and IST. He was the recipient of the 2015 IEEE I&M Society Graduate Fellowship Award. He is a Senior Member of IEEE, the Fellow of the International Society for Industrial Process Tomography (FISIPT), and the Fellow of the Higher Education Academy (FHEA).

Research Groups


Education/Academic qualification

Engineering Electronics, Doctor of Philosophy (PhD), Advanced digital electrical impedance tomography system for biomedical imaging, University of Edinburgh

1 Apr 201417 Jan 2018

Award Date: 17 Jan 2018

Control Science & Engineering, Master in Science, Sensing strategy and image reconstruction for ECT, Tsinghua University, Beijing, China

26 Aug 20101 Jul 2013

Award Date: 1 Jul 2013

Measurement & Control Engineering, Bachelor of Science, Femto-second laser for parallel micro-nano fabrication, Anhui University

14 Sept 20061 Jul 2010

Award Date: 1 Jul 2010


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