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Fan Zhang

Assistant Professor

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Research activity per year

Personal profile

Personal profile

Dr. Fan Zhang joined the School of Robotics at XJTLU as an Assistant Professor in Aug. 2023. Dr. Zhang is an inter-disciplinary researcher with a multi-disciplinary background in Mechanical Engineering and Automation (B.Eng. at Shanghai Jiao Tong University, CN), Robotics (M.Sc. with Distinction at King’s College London, UK), and Material Perception (Ph.D. at TU Delft, NL). Prior to joining XJTLU, Dr. Zhang worked as an external Postdoctoral Researcher for Procter Gamble (DE) in Multisensory Perception and Consumer Knowledge research from Dec.2018 to Jun.2019, and later as Research Fellow for University of Birmingham (UK) in Computational Modelling and Cognitive Robotics since Dec. 2019.

Research interests

Cognitive Robotics

Dr. Zhang is motivated to integrate the state-of-the-art AI developments with human-factor studies for mechanistic explanations, validations, and real-life applications in Cognitive Robotics. His research interests cover but are not limited to the following topics: Computer Vision, Computer Graphics, 3D Modelling Rendering, Intelligent Manufacturing, Human-Computer/Robot-Interaction, Interactive UX/UI Design, Mid-/High-level Human Vision, Visual Attention, Ecological Optics and Perception of Materials, Light, Shapes, etc.


Assistant Professor, School of Robotics, XJTLU, 2023 - Present

Research Fellow, University of Birmingham, 2019-2023

Postdoctoral Researcher, Delft University of Technology; Procter Gamble (DE), 2018-2019


As Module Leader:

RBE403TC - Intelligent Robotics and Applications

RBE404TC - Application of Cutting Edge Technologies in Robotics Design


RBE001 - Introductions to Intelligent Robotics

RBE103TC - Electronic Circuits - Analogue and Digital

RBE105TC - Introduction to Intelligent Robotics and Application

RBE402TC - Robotics Software Design and Machine Learning

previously co-teach in:

ResearchDesign (UG@TUD, AY17/18)

Practical Skills for Computational Neuroscience and Cognitive Robotics (PG@UoB, AY20/21-AY22/23)

Education/Academic qualification

Ph.D., Delft University of Technology, 2019

M.Sc. in Robotics, King's College London, 2013

B.Eng. in Mechanical Engineering and Automation, Shanghai Jiao Tong University, 2011

Person Types

  • Staff


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