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Dr Longzhi Yang

Senior Lecturer

Department: Computer and Information Sciences

Dr. Longzhi Yang is a Senior Lecturer in Computer Science who has been with the Department of Computer Science and Digital Technologies at Northumbria University since June 2013.

I am a Senior Lecturer in Computer Science at Northumbria University. Prior to joining the University, I worked on an EU FP7 project Integrated In Silico Models for the Prediction of Human Repeated Dose Toxicity of COSMetics to Optimise Safety (COSMOS) (contract no. 266835) at Bradford University. Before that, I obtained my PhD degree in Computer Science from the University of Wales, Aberystwyth (now Aberystwyth University) in 2011.

I am the Programme Leader for BSc/Mcomp (Hons) Computer Networks and Cyber Security, and BSc/Mcomp (Hons) Computer and Digital Forensics. I supervise PhD and MSc students in the research areas of Computational Intelligence, Machine Learning, Computer Graphics/Vision, and their real world applications especially under uncertain environment. I published research papers in prestigious journal and conferences in my field, such as the IEEE Transactions on Fuzzy Systems, Fuzzy Sets and Systems, and IEEE International Conference on Fuzzy Systems.

Longzhi Yang

0191 243 7697


  • PhD
  • MSc
  • BSc
  • Fellow of the Higher Education Academy

Research Themes and Scholarly Interests

  • Computational intelligence
  • Machine learning
  • Reasoning under uncertainty
  • Predictive toxicity
  • Computer graphics/vision
  • Intelligent control
  • Smart home appliances

Professional Activity

I am an invited reviewer for a number of prestigious international journals, including IEEE Transactions on Fuzzy Systems, IEEE Transactions on Cybernetics, Fuzzy Sets and Systems, and Information Sciences. I have chaired a number of conference sessions, acted as international programme committee members and panel discussion members, and delivered invited talks/seminars such as the 12th Haiyun Lecture of 2015 at Xiamen University, China.

Key Publications

L. Yang, Fei Chao and Qing Shen. “Generalised Adaptive Fuzzy Rule Interpolation.” IEEE Transactions on Fuzzy Systems, DOI: TFUZZ2582526, 2016

N. Iwamoto, H. Shum, L. Yang, S. Morishima. “Multi-Layer Lattice Model for Real-Time Dynamic Character Deformation.” Computer Graphics Forum, Vol. 34, no. 7, pp. 99-109, 2015

L. Yang and Q. Shen. “Closed Form Fuzzy Interpolation.” Fuzzy Sets and Systems, Vol. 225, pp. 1-22, 2013.

A. Palczewska, X. Fu, P. Trundle, L. Yang, D. Neagu, M. Ridley, K. Travis. “Towards Model Governance in Predictive Toxicology.” Vol. 33, no. 3, pp567-582, 2013

L. Yang, D. Neagu, M. Cronin, M. Hewitt, S. Enoch, J. Madeen and K. Przybylak. “Towards a Fuzzy Expert System on Toxicological Data Quality Assessment.” Molecular Informatics. Vol. 32, no. 1, pp. 65-78, 2013.

L. Yang and Q. Shen. “Adaptive Fuzzy Interpolation.” IEEE Transactions on Fuzzy Systems. Vol. 19, no. 6, pp. 1107-1126, 2011.

L. Yang and Q. Shen. “Adaptive Fuzzy Interpolation And Extrapolation with Multiple-Antecedent Rules.” Proceedings of the 2010 IEEE International Conference on Fuzzy Systems, Barcelona (FUZZIEEE’10), 2010, pp. 542-549. (Best Student Paper Award, selected out of 617 submissions worldwide)

To view my Northumbria Research Link page click here

My Google Scholar link can be viewed here


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