Dr. Yunjie Yang
Dr. Yunjie Yang was appointed as the Chancellor’s Fellow in Data Driven Innovation (Lecturer) at the University of Edinburgh in September 2018. He received his PhD in Engineering Electronics from the University of Edinburgh (01/2018), MSc (Distinction) in Control Science & Engineering from Tsinghua University, China (07/2013), and BEng (First Class with Honours) in Measurement & Control Engineering from Anhui University, China (07/2010). From August 2013 to February 2014, he was a Research Assistant at the Electromechanical System Laboratory, University of Connecticut, Storrs, US. After his PhD, he briefly worked as a Postdoctoral Research Associate in Chemical Species Tomography at the University of Edinburgh until September 2018.
Dr. Yang’s research expertise expands the areas of sensing and imaging with miscellaneous tomography modalities, soft robot perception and control, and machine learning for sensing data analysis. The goal of his research is to improve the observability in both industrial and biomedical processes for enhanced control and fault diagnosis, and address the pressing challenges of efficient utilisation/interpretation of enormous sensing data generated by multiple sensing techniques. His research has led to more than 50 peer reviewed journal and international conference publications, many of which were published in high-impact journals (including one cover story and one review paper). Part of his research outputs has been licensed to overseas research institutes, e.g. Pennsylvania State University (US), and local industry, e.g. AIE Ltd. He was the recipient of the 2015 IEEE I&M Society Graduate Fellowship Award and the Innovation Initiative Grant from the University of Edinburgh Development Trust. He was also the recipient of the Best Student Paper Award of 2017 IEEE International Conference on Imaging Systems and Techniques and the Best Poster Award of the 4th International Conference on Impedance-Based Cellular Assays.
He is the Associate Editor of IEEE Access Journal. He also serves as the regular reviewer for more than 20 high-impact international journals, including four IEEE Transactions. He has been the member of the Technical Program Committee of the IEEE International Conference on Imaging Systems and Techniques since 2015. He is a member of IEEE, IET, and the International Society for Industrial Process Tomography (ISIPT).
Specifically, Dr. Yang's group works on:
1. Biomedical imaging and machine learning for tissue engineering.
2. Intelligent soft robots control and perception.
3. Sensing and machine learning for multi-phase flow measurement.
4. Industrial process tomography: sensor, system, inverse problems, and applications.
More information can be found here:
Data Driven Innovation Programme website: https://ddi.ac.uk/chancellors/yunjie-yang/
Offical website: https://www.eng.ed.ac.uk/about/people/mr-yunjie-yang
Dr. Shengnan Wang (2020-2023)
Dr. Shengnan Wang is the Train@Ed Research Fellow with ISAC group at The University of Edinburgh.
He received the BEng degree in Automation from Nanjing Institute of Technology, China, in 2010, and the MSc and PhD degrees in Thermal engineering from Southeast University in 2013 and 2017, respectively. From 2017 to 2020, he was a Lecturer at Yangzhou University, China.
Dr. Wang’s research interests lie in multiphase flow instrumentation and industrial process tomography. His recent research focuses on multiphase flow sensing data analysis using machine learning and works on digital twins for multi-phase flow sensing systems.
As principal supervisor
Haokun Wang (2019-2023)
Haokun Wang obtained his BEng (2017) and MSc (2018) from The University of Edinburgh.
He started his PhD study in ISAC from January 2019 and worked on the project entitled "Big data of multi-phase flow measurement for optimising oil and gas production".
Delin Hu (2019-2023)
Delin Hu received his BEng degree from Sichuan University in 2015, and MSc degree from Tsinghua University in 2019. His research interests include machine learning, sensor data mining, and data innovation in industrial applications.
He started his PhD study in ISAC from September 2019 and worked on the project entitled 'Intelligent soft robot perception and control'.
Zhou Chen (2019-2023)
Zhou Chen obtained her BEng degree in Electrical and Electronics Engineering, and MSc degree in Artificial Intelligence from The University of Edinburgh. Her research interests focus on applying machine learning methods to engineering applications.
She works on the project entitled 'Deep learning based tomographic imaging for tissue engineering'.
Abdul Hafeez Abdul Bari (2019-2023)
Hafeez obtained his First Degree in Transportation Planning and Studies in 2008 at MARA University of Technology (UiTM) in Malaysia. He later joined Oil and Gas industry for two years and did his MSc in Engineering (Industrial and Supply Chain) at Coventry University UK graduated in 2011 with Distinction and had been awarded Coventry University's Best Project Prize Winner in his outstanding dissertation work. Returned back to Malaysia right after, Hafeez has been in upstream Oil and Gas industry until 2019 where he decided to pursue his PhD Engineering.
With his total industrial experience, particularly in upstream oil and gas of eleven (11) years, he has been working on-site (onshore and offshore) and first hand oilfield development projects including drilling, upstream production and operations, machines performance and maintenance,data innovation projects and support for realising the digitisation of oil and gas production and operations in Malaysia and Asia Pacific Region.
Zhe Liu (2019-2023)
Zhe Liu received his BEng (2018) from Huazhong University of Science and Technology, and MSc (2019) from the City University of Hong Kong. His research interests include biomedical imaging, image reconstruction, and signal and image processing.
He is working dual-modality tomographic imaging for tissue engineering.
As assistant supervisor
Changjiang Liu (with Prof. Tughrul Arslan)
Yinhuan Dong (with Prof. Tughrul Arslan)
MSc, MEng and BEng Students
Chenyi Zhang (2019-2020)
Peixin Guo (2019-2020)
Zixuan Shen (2019-2020)
Xiaozhou Kang (2019-2020)
Zirui Lyu (2019-2020)
Zhenyu Jiang (2018-2019)
Zhijin Sun (2018-2019)
Charalambos Maxoutis (2019-2020)
Zhilin Liu (2019-2020)
Brian Tinashe Toperesu (2019-2020)
Visiting PhD students
Jinxi Xiang (2019-2020, CSC-sponsored, Tsinghua University, China)
Research topic: advanced image reconstruction algorithm for magnetic induction tomography.
Visiting undergraduate students
Jianan Fan (Spring 2020, Huazhong University of Science and Technology, China)
Keming Lu (Summer 2019, CSC-sponsored, Tsinghua University, China)
Vladimir Zolotarev (Summer 2019, IAESTE Summer Placement, Bauman Moscow State Technical University, Russia)
Group out for Christmas Dinner, Dec. 2019