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Jingxin Liu

Associate Professor

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Research activity per year

Personal profile

Personal profile

Jingxin Liu (刘净心) is an Associate Professor in the School of AI and Advanced Computing at XJTLU Entrepreneur College (Taicang). He received his Ph.D in Computer Science at The University of Nottingham in 2018, M.Sc in Signal Processing and Communications from The University of Edinburgh in 2013.Jingxin Liu’s research focus on medical image analysis, especially digital pathology and microscope image analysis, computational pathology, image processing and computer vision. He has published more than 20 peer-reviewed journal articles and conference papers, such as T-MI, MIA, J-BHI, ISBI, MICCAI.In the past years, he has successfully attracted over 2 million research funds from both academia and industry, including NSFC Young Scientist Fund, NSF of the Jiangsu Higher Education Institutions of China General Programme. He was awarded “Dual-Innovation Doctor”(双创博士) of Jiangsu in 2022, and Gusu Innovation and Entrepreneurship Leading Talents (姑苏领军人才) Programme in 2023.

Research interests

digital pathology image analysis, biomedical image analysis, image processing, machine learning, artificial intelligence


Associate Professor, Xian Jiaotong Liverpool University, 2024-Present

Assistant Professor, Xian Jiaotong Liverpool University, 2021-2023

AI Technical Director, HISTO Pathology Diagnostic Center, 2020-2021

Post Doctor Researcher, Shenzhen University, 2018-2020


DTS101TC, Introduction to Neural Networks

Awards and honours

2023, Gusu Innovation and Entrepreneurship Leading Talents Programme - Youth Innovation Leading Talent ( 苏州市‘姑苏领军-青年创新领军人才’ )

2022, Innovation and Entrepreneurship Talent of Jiangsu Province (江苏省‘双创博士’)

2020, May -First labour Medal Baoshan, Shanghai ( 上海市宝山区‘五一劳动奖章’ )

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being

Education/Academic qualification

Ph.D, University of Nottingham, 2018

M.Sc, University of Edinburgh, 2013

Person Types

  • Staff


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