Dr. Yunjie Yang is a Senior Lecturer (Equivalent: Associate Professor) at The University of Edinburgh. He is also an affiliate of the Edinburgh Futures Institute (EFI). He was the Chancellor’s Fellow in Data Driven Innovation (2018-2023) and Bayes Innovation Fellow (2023-2024). He received his PhD 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. After obtaining his PhD, he briefly worked as a Postdoctoral Research Associate in Chemical Species Tomography at The University of Edinburgh.

Dr. Yang’s research interests focus on 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 utilisation/interpretation of sensory data. His research has led to over 130 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, TII, 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 awardee of the prestigious European Research Council (ERC) Starting Grant.

Dr. Yang serves as 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 the regular reviewer for over 70 high-impact international journals. He served as the track/session chair of several international conferences. He was the recipient of the 2024 IEEE J. Barry Oakes Advancement Award (for demonstrated exceptional expertise, innovation and leadership in the field of Instrumentation and Measurement) and the 2015 IEEE I&M Society Graduate Fellowship Award. He is a Senior Member of IEEE, a Fellow of the International Society for Industrial Process Tomography (FISIPT), and a Fellow of the Higher Education Academy (FHEA).

Research group: UoE SMART Group www.yangresearchgroup.com

Press coverages:

• ERC StG: Dr Yunjie Yang awarded €1.5 million European Research Council Starting Grant | School of Engineering 
• BBC: https://www.bbc.co.uk/iplayer/episode/m001m1mr/click-medical-marvels (from 8:12)
• DDI case study: https://ddi.ac.uk/case-studies/smart-e-skin-for-soft-robotic-perception/
• STV: https://news.stv.tv/east-central/edinburgh-university-researchers-develo...
• EFE: Crean la primera "piel electrónica" para que los robots sientan (efe.com)
• The Independent: Best inventions and discoveries of 2023: From robot skin to mind-reading caps | The Independent      
• Evening Standard Podcast: https://play.acast.com/s/tech-science-daily/e-skin-boosts-robot-self-awareness
• Metro: https://metro.co.uk/2023/02/24/scientists-develop-electronic-skin-that-allows-robots-to-feel-18340234/
• The Independent: https://www.independent.co.uk/tech/robots-self-aware-ai-skin-b2288369.html

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