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Dr Hubert Shum

Associate Professor

Department: Computer and Information Sciences

Hubert ShumI am an Associate Professor (Reader) in Computer Science at Northumbria University, as well as the Director of Research and Innovation of the Computer and Information Sciences Department. I lead the Computational Intelligence and Visual Computing Research Team, which consists of 9 faculty members, 2 post-doctoral researchers and 22 PhDs. Before this, I worked as a Senior Lecturer at Northumbria University, a Lecturer at the University of Worcester, a postdoctoral researcher at RIKEN Japan, and a research assistant at the City University of Hong Kong. I received my PhD degree from the School of Informatics at the University of Edinburgh, as well as my Master and Bachelor degrees from the City University of Hong Kong.

As for the research funding to support my team, I am the PI of a £124,000 EPSRC grant on human motion analysis, and a £11,800 Royal Society grant on smart environments. I have also been the funding management officer of a €3.03 million Erasmus Mundus project. In addition to these, I have received more than £300,000 from Northumbria University to hire PhD students and purchase research equipment.

I have organized conferences such as the British Machine Vision Conference, ACM SIGGRAPH Conference on Motion in Games and the ACM Symposium on Virtual Reality Software and Technology. I have served as a member of Program Committee more than 30 times in 9 conferences, including the Pacific Conference on Computer Graphics and Applications (PG), and the ACM/Eurographics Symposium on Computer Animation (SCA). I am an Associate Editor of Computer Animation and Virtual Worlds, and have been a Guest Editor of Computers and Graphics. I have collaborated with industrial partners especially from the healthcare sector, such as NHS Newcastle Gateshead CCG, NHS Innovation North, Kinesio UK and Your Homes Newcastle (City Council). I have established an international academic network with institutes such as Waseda University, INRIA, the University of Edinburgh and the University of East Anglia.

Further Information

Web Page

YouTube Channel

Google Scholar

Campus Address

Pandon Building
Northumbria University
Newcastle upon Tyne


  • Computing Science PhD September 01 2006
  • Fellow (FHEA) Higher Education Academy (HEA) 2015

Key Publications

  • Please visit the Pure Research Information Portal for further information
  • Multiview Discriminative Marginal Metric Learning for Makeup Face Verification, Zhang, L., Shum, H., Liu, L., Guo, G., Shao, L. 14 Mar 2019, In: Neurocomputing
  • Filtering Techniques for Channel Selection in Motor Imagery EEG Applications: A Survey, Baig, M., Aslam, N., Shum, H. 28 Feb 2019, In: Artificial Intelligence Review
  • A hybrid metaheuristic navigation algorithm for robot path rolling planning in an unknown environment, Xu, S., Ho, E., Shum, H. 26 Feb 2019, In: Mechatronic Systems and Control
  • A New Method to Evaluate the Dynamic Air Gap Thickness and Garment Sliding of Virtual Clothes During Walking, Hu, P., Ho, E., Aslam, N., Shum, H., Komura, T. 13 Feb 2019, In: Textile Reseach Journal
  • A Generic Framework for Editing and Synthesizing Multimodal Data with Relative Emotion Strength, Chan, J., Shum, H., Wang, H., Yi, L., Wei, W., Ho, E. 4 Feb 2019, In: Computer Animation and Virtual Worlds
  • Illumination-aware Multi-task GANs for Foreground Segmentation, Sakkos, D., Ho, E., Shum, H. 4 Feb 2019, In: IEEE Access
  • Interaction-based Human Activity Comparison, Shen, Y., Yang, L., Ho, E., Shum, H. 25 Jan 2019, In: IEEE Transactions on Visualization and Computer Graphics
  • A Secure Authentication Protocol for Multi-server-based e-Healthcare using a Fuzzy Commitment Scheme, Barman, S., Shum, H., Chattopadhyay, S., Samanta, D. 21 Jan 2019, In: IEEE Access
  • A Dual-Stream Recurrent Neural Network for Student Feedback Prediction using Kinect, Hu, S., Bhattacharya, H., Chattopadhyay, M., Aslam, N., Shum, H. Dec 2018, 12th International Conference on Software, Knowledge, Information Management and Applications
  • Automatic Musculoskeletal and Neurological Disorder Diagnosis with Relative Joint Displacement from Human Gait, Rueangsirarak, W., Zhang, J., Aslam, N., Ho, E., Shum, H. Dec 2018, In: IEEE Transactions on Neural Systems and Rehabilitation Engineering

Further Information

External Funding

  • EPSRC First Grant (Ref: EP/M002632/1): £124,000, Principal Investigator, 2014-2017, Project title: Interaction-based Human Motion Analysis (see project details from EPSRC)
  • Erasmus Mundus Action 2 Programme (Ref: 2014-0861/001-001): €3.03 million, Contributing Researcher, 2015-2018, Value to Northumbria University: €440,000, Project title: Sustainable Green Economies through Learning, Innovation, Networking and Knowledge Exchange (gLink)
  • MEXT Top Global University Project Scholarship: £5,500, Contributing Researcher, 2015-2016

Internal Funding

  • Research and Enterprise Reward Scheme (Ref: 510972): £9,700, Principal Investigator, Northumbria University, 2015-2017
  • Top-up Fund for EPSRC Project: £24,300, Principal Investigator, Northumbria University, 2015-2017
  • Capital Expenditure for Research Equipment (Ref: 511988, 511276, 511671, 510536): £94,000, Principal Investigator, Northumbria University, 2013-2017
  • Postgraduate Research Scholarship: £65,000 x 2 = £130,000, Principal Investigator, Northumbria University, 2015-2017
  • New Academic Staff Support Grant (Ref: 100700-IO114845): £2,000, Principal Investigator, Northumbria University, 2012-2013
  • Vacation Research Assistantship: £1,000, Principal Investigator, the University of Worcester, 2012
  • Initiating Knowledge Transfer Fund (Ref: 7P-2414): £15,000, Contributing Researcher, the University of Edinburgh, 2009-2010

  Journal Editorships

  • International Journal of Computer Vision (IJCV), Guest Editor, Special Issue on British Machine Vision 2018 Best Papers
  • Computer Animation and Virtual Worlds (CAVW), Associate Editor, since 2017
  • Computers and Graphics (C&G), Guest Editor, Special Issue on Best Papers from Motion in Games 2016


  • Manufacturing Video Graphics (Publication Number: WO/2010/057897)


  • Best Paper Award in the 2017 International Conference on Advances in Computer Entertainment Technology (ACE)
  • Best Paper Award in the 2016 UK Workshop on Computational Intelligence (UKCI)
  • Best Poster Award in the 2016 ACM SIGGGRAPH Conference on Motion in Games (MIG)
  • IEEE CIS Outstanding Student-Paper Travel Grants (USD 800) for a co-supervised PhD Jie Li in 2016
  • IEEE CIS Outstanding Student-Paper Travel Grants (USD 800) for a co-supervised PhD Yao Tan in 2016
  • Outstanding Teaching Performance Award from the University of Worcester in 2011
  • Best Paper Award in the 2008 Annual Conference on Computer Animation and Social Agents
  • PhD Scholarship (£37,000) from the School of Informatics, University of Edinburgh in 2006

Postgraduate Supervision

  • Daniel Organisciak, PhD, Northumbria University, Research topic: Person and Vehical Re-identification
  • Shanfeng Hu, PhD, Northumbria University, Research topic: Metric Learning for 3D Shapes
  • Jingtian Zhang, PhD, Northumbria University, Research topic: Action Classification using Transfer Learning with Synthesized Training Data
  • Yijun Shen, PhD (Graduated), Northumbria University, Research topic: Human Motion Understanding for Analysis and Synthesis
  • Zheming Zuo, PhD (Co-supervised), Northumbria University, Research topic: Artificial intelligence for Smart Home Systems
  • Yao Tan, PhD (Co-supervised), Northumbria University, Research topic: Rule Base Generation for Fuzzy Rule Interpolation
  • Joseph Henry, PhD (Co-supervised, Graduated), University of Edinburgh, Research topic: Crowd Formation Control
  • Naoya Iwamoto, PhD (Co-supervised, Graduated), Waseda University, Research topic: Character Deformation Simulation with Position-based Dynamics
  • Wakana Asahina, MSc (Co-supervised, Graduated), Waseda University, Research topic: Automatic Dance Generation with Sign Language
  • Pierre Plantard, PhD (Co-supervised, Graduated), Rennes 2 University, Research topic: Posture Reconstruction for Ergonomics Applications
  • Zhiguang Liu, PhD (Graduated, Co-Supervised, Graduated), City University of Hong Kong, Research topic: Kinect-based Posture Reconstruction using Gaussian Models
  • Liuyang Zhou, PhD (Graduated, Co-Supervised, Graduated), City University of Hong Kong, Research topic: Human Motion Variation Synthesis
  • Xi Chen, MSc (Co-Supervised, Graduated), Newcastle University, Research topic: Dimensions Estimation with Depth Images Provided by Kinect



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