- Electronics and Electrical Engineering
Dr. Yunjie Yang is a Lecturer and Chancellor’s Fellow in Data Driven Innovation (Assistant Professor) at The University of Edinburgh. He received his Ph.D. in Engineering Electronics from The University of Edinburgh (2018), MSc in Control Science & Engineering from Tsinghua University (2013), and BEng in Measurement & Control Engineering from Anhui University (2010). From Aug 2013 to Feb 2014, he was a Research Assistant at the University of Connecticut, Storrs, US. After obtaining his Ph.D., he briefly worked as a Postdoctoral Research Associate in Chemical Species Tomography at The University of Edinburgh until Sept 2018.
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. The goal of his research is to improve observability in industrial (e.g. multiphase flow), robotics (e.g. soft robotics), and biomedical processes for enhanced control and fault diagnosis, 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, TII, and TIM. His research outputs have been licensed to overseas research institutes and industry partners.
He serves as the Associate Editor of IEEE Transactions on Instrumentation and Measurement, IEEE Access, and Frontiers in Electronics, the Topic Editor of Chemosensors, the Guest Editor for IEEE Sensors Journal, Chemosensors, and Frontiers in Physics, and serves as the regular reviewer for over 50 high-impact international journals. He has been the Technical Program Committee member of the IEEE International Conference on Imaging Systems and Techniques since 2015. He was the recipient of the 2015 IEEE I&M Society Graduate Fellowship Award. He is a member of IEEE, IET, the Fellow of the International Society for Industrial Process Tomography (FISIPT), and the Fellow of Higher Education Academy (FHEA).
Research group website: www.yangresearchgroup.com
(Office: 1.13 Alexander Graham Bell)
- 2018 Doctor of Philosophy (PhD), School of Engineering, The University of Edinburgh, UK
- 2013 Master of Science (MSc) (Distinction), Department of Automation, Tsinghua University, China
- 2010 Bachelor of Science (BEng) (First Class Honors), Department of Measurement & Control Engineering, Anhui University, China
Professional Qualifications and Memberships:
- Member of IEEE
- Member of IEEE I&M Society
- Member of IET
- Fellow of ISIPT
- Fellow of Higher Education Academy (FHEA)
- Signals and Communication Systems 3 (ELEE09027)
- Digital System Laboratory 3 (ELEE09035)
- Electrical Engineering 1 Tutorial (ELEE08001)
- Supervision of PhD, MSc, MEng and BEng projects
- AI-powered multi-modal tomographic imaging
- Digital twins for multiphase flow systems and digital healthcare
- Soft robotics perception and control
- Machine learning for medical imaging
- Medical imaging and machine learning
- Soft sensors
- Soft robotics
- Agile tomography
- Digital twins
We welcome undergraduates, graduates, and postdocs who are interested in joining our group. Please feel free to contact us at anytime.