معرفی
Roles & Affiliations
Dr. Yunjie Yang is a Senior Lecturer (equivalent to Associate Professor) at the School of Engineering, University of Edinburgh. He is affiliated with the Edinburgh Futures Institute (EFI), Edinburgh Generative AI Laboratory (GAIL), and Edinburgh Centre for Robotics. He previously held the Chancellor’s Fellow in Data Driven Innovation (2018–2023) and Bayes Innovation Fellow (2023–2024).
Education
- PhD in Engineering Electronics (2018), University of Edinburgh
- MSc in Control Science & Engineering (2013), Tsinghua University
- BEng in Measurement & Control Engineering (2010), Anhui University
Research Interests
His research focuses on AI-driven sensing and imaging, machine learning, digital twins, and soft robotics. Specific areas include:
- Electrical impedance tomography (EIT) for medical imaging
- Soft robotic perception and tactile sensing
- Medical devices and wearable technologies
- Data-driven inverse problems and reconstruction algorithms
Awards & Fellowships
- 2024 IEEE J. Barry Oakes Advancement Award
- ERC Starting Grant
- Fellowships: Young Academy of Europe (FYAE), International Society for Industrial Process Tomography (FISIPT), and Higher Education Academy (FHEA)
- 2015 IEEE I&M Society Graduate Fellowship Award
Advising & Grants
Dr. Yang supervises PhD students in robotics, sensing, and medical imaging (e.g., Huazhi Dong). He leads projects such as the SELECT project on soft robot perception and Real-time Bedside Medical Imaging. His research is funded by grants from the ERC, Medical Research Council, and the European Commission.
Research Group
He heads the SMART Group, focusing on Sensing, Machine Learning, and Robotics. The group develops technologies like modular soft wearable gloves and digital twin frameworks for multiphase flow imaging.
