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Edinburgh City

Research team at SMART

SMART Lab
Principal Investigator

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Dr Yunjie Yang

Associate Professor

Dr Yunjie Yang is an Associate Professor and GAIL (Generative AI Laboratory) Fellow at the Institute for Imaging Data and Communications (IDCOM), School of Engineering, The University of Edinburgh. 

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Dr Zhe Liu

Postdoctoral Research Associate

Zhe’s research focuses on biomedical imaging with machine learning. He has expertise in developing algorithms for image reconstruction and image processing. Additionally, he specialises in methodologies for robotic perception.

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TBA

Postdoctoral Research Associate

Tba

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Huazhi Dong

PhD student

Huazhi Dong's research focuses on multi-modal e-skins and machine learning for embodied intelligence. His research interests include electronic skin, soft robotics, and machine learning.

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Hao Fang

PhD student

Hao Fang's research interests include but are not limited to, deep learning, medical imaging, and tomography. He works on three-dimensional multi-modal imaging and learning for medical engineering.

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Bingnan Liu

Joint PhD student with KU Leuven

Ronald B. Liu is pursuing a PhD in Electronics Engineering at the University of Edinburgh and a joint PhD in Bioengineering at KU Leuven. His research focuses on applying AI to biomedical engineering applications.

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Abdul Hafeez Abdul Bari

PhD student

Hafeez works on CFD and machine learning-assisted multiphase flow imaging and data analysis.

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Sihao Teng

PhD student

Sihao's research focus is on creating flexible electronic skins for soft robots, enabling robots to perceive their own morphological changes and external stimuli.

Group visitors/exchange students/summer interns

1. Shushuai Xie, Xian Jiaotong University, 2024-2025

2. Leo Micklem, University of Southampton (as Assistant Supervisor, with Dr Francesco Giorgio-Serchi), 2023-2024

3. Nefeli Pelekanou, University of Edinburgh, 2024 summer intern

4. Chunpeng Wang, University of Edinburgh, 2024 summer intern

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Xiaopeng Wu

PhD student

Xiaopeng's research focuses on soft robotic perception and digital twins. Additionally, he aims to create a synthetic dataset with high-quality labelled data, based on the soft robotic perception system and digital twin technology.

Surreal World

SMART Alumni

  1. Dr. Shengnan Wang (MSCA/Train@Ed Research Fellow) - Associate Professor at China Jiliang University

  2. Dr. Haokun Wang (PhD student) - Analog Devices

  3. Dr. Delin Hu (PhD student) - Chinese University of Hong Kong

  4. Dr. Zhou Chen (PhD student) - Shanghai Jiaotong University

  5. Dr. Zhe Liu (PhD student) - University of Edinburgh

  6. Dr. Jinxi Xiang (CSC-funded visting PhD student) - Stanford University

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