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Dr Longzhi Yang

Associate Professor

Department: Computer and Information Sciences

I am an Associated Professor (Reader) 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) 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 currently the Director of Education at the Department of Computer and Information Sciences. My research focuses on Artificial/Computational Intelligence, Machine Learning, Cybersecurity/Digital Forensics, Robotics, Planning/Scheduling, Automatic Control, Decision Making Support and their real-world applications especially under uncertain environment. My research has been founded by EPSRC, ESRC, Innovate UK, RAEng, Newton Fund, Royal Society, and other industry partners.

Longzhi Yang

Qualifications

  • Computing Science PhD September 18 2011
  • HEA Senior Fellow 2018
  • IEEE Senior Member 2016
  • Fellow (FHEA) Higher Education Academy (HEA) 2015

Key Publications

  • Please visit the Pure Research Information Portal for further information
  • Artificial Human Balance Control by Calf Muscle Activation Modelling, Yin, K., Chen, J., Xiang, K., Pang, M., Tang, B., Li, J., Yang, L. 20 May 2020, In: IEEE Access
  • Exploring resilience for effective learning in computer Science Education, Prickett, T., Crick, T., Harvey, M., Walters, J., Yang, L. 1 Apr 2020
  • GANCCRobot, Wu, R., Zhou, C., Chao, F., Yang, L., Lin, C., Shang, C. Apr 2020, In: Information Sciences
  • Histogram of Fuzzy Local Spatio-Temporal Descriptors for Video Action Recognition, Zuo, Z., Yang, L., Liu, Y., Chao, F., Song, R., Qu, Y. 1 Jun 2020, In: IEEE Transactions on Industrial Informatics
  • Integration of an actor-critic model and generative adversarial networks for a Chinese calligraphy robot, Wu, R., Zhou, C., Chao, F., Yang, L., Lin, C., Shang, C. 7 May 2020, In: Neurocomputing

PGR Supervision

  • Philip Anderson Start: 01/03/2020
  • Mansoureh Pezhman Pour Development of Medical Image/Video Segmentation Via Deep Learning Models Start: 21/02/2020
  • Laura Pearson Start: 01/03/2020
  • Noe Nnko Start: 01/11/2017
  • Yao Tan Curvature-Based Sparse Rule Base Generation for Fuzzy Rule Interpolation Start: 01/02/2015
  • Zheming Zuo Feature Extraction and Encoding for Video Action Recognition Start: 06/06/2016
  • Jie Li Fuzzy Interpolation Systems with Knowledge Extraction and Adaptation Start: 01/10/2014


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