Hujun Yin received the BEng degree in Electronic Engineering and the MSc degree in Signal Processing, both from Southeast University, and the PhD degree in Neural Networks from University of York. He joined the University of Manchester (UMIST before the merge in 2004) in 1996 as a Post-doc Research Associate, was appointed as Lecturer in 1998 and subsequently promoted to Senior Lecturer, Reader and Professor. He was the Head of Business Engagement in AI and Data Science for the Faculty of Science and Engineering, 2019-2023.

His main research interests and expertise include AI, machine learning, deep learning, image recognition, data analytics, and their interdisciplinary applications. Recent projects focus on developing deep learning based vision systems for industries, advanced machine learning for multispectral image analysis for early detection of plant viral infection and cancer diagnosis, and data-driven surrogate models in engineering design and simulation. He was elected a Turing Fellow of the ATI (the Alan Turing Institue) 2018-2023, a senior member of the IEEE since 2003, a member of the EPSRC Peer Review College since 2006, and a member of the UKRI Talent Panel College since 2023. He has been the Chair of the IEEE CIS UK Ireland Chapter since 2023. He leads a team of over a dozen researchers working in a wide range of vision and machine learning challenges with strong emphasis on interdisciplinary (e.g. mechanical, medical, agricultural) and industrial applications.

He gave a plenary talk to PRIS 2024, HAIS-SOCO-CISIS-ICEUTE 2023, AIACT 2022, WSOM+ 2022 SOCO 2017, HAIS 2013, IEEE IST 2012, CBIC 2011 and HAIS 2008 and was a tutorial speaker at WCCI 2008 (Title: Nonlinear Dimensionality Reduction and Data Visualisation). He was chair of Special Session on Principal Manifolds and Data Visualisation at IJCNN 2007, and organiser of Biologically Inspired Information Fusion Workshop, Surrey, 22-23 August 2006. He gave a talk on "The Self-Organising Maps for Data Visualisation and Manifold Mapping" to Workshop on Principal Manifolds, Leicester, 24-26 August 2006. 

He has been an Associate Editor for the IEEE Transactions on Emerging Topics in Computational Intelligence since 2022, was an Associate Editor for the IEEE Transactions on Cybernetics, 2015-2023 and the IEEE Transactions on Neural Networks, 2006-2009. He had also been a member of Editorial Board of International Journal of Neural Systems 2005-2020.

Google Scholar: https://scholar.google.co.uk/citations?user=9H98hd8AAAAJ&hl=en

BEng & MSc (Southeast), PhD (York)

Prof. Hujun Yin currently leads a team of researchers working in vision systems and machine learning with strong emphasis on real-world, interdisciplinary and industrial applications. The team has dedicated GPU servers with over 12 GPUs. 

Neural Networks and Artificial Intelligence
pattern recognition, machine learning and deep learning
self-organising systems and unsupervised learning 
data visualisation 
text and document mining and organisation
interdisciplinary and industrial applications

Signal and Image Processing
image recognition, analysis and enhancement (visible, hyper-/multi-spectral, microscopic, etc.) 
face recognition
multimodal information fusion
time series modelling and prediction

Bio-/Neuro-informatics
neural signal and local field potential analysis
populational spike train decoding
bio-data mining and gene expression modelling

• Sensing Imaging and Signal Processing

Currently I teach the following modules

• Digital Image Processing (4th year MEng & MSc)
• Machine Learning and Optimisation Techniques (4th year MEng & MSc)

Previously I taught the following modules,

• Digital Image Engineering (4th year MEng, 2001-2010)
• Advanced Signal Processing (4th year MEng, 2006-2010)
• Digital Signal Processing (3rd year, 2002-2005)
• High Level Programming (2nd year, 1998-2004)
• Measurements and Analytical Software (1st year, 2010-2015)