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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
  • A Comparative Study of Genetic Algorithm and Particle Swarm Optimisation for Dendritic Cell Algorithm, Nnko, N., Yang, L., Chao, F., Naik, N. Jul 2020, 2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings, Piscataway, NJ, IEEE
  • A general transductive regularizer for zero-shot learning, Mao, H., Zhang, H., Long, Y., Wang, S., Yang, L. 1 Jan 2020
  • An LSTM Based Generative Adversarial Architecture for Robotic Calligraphy Learning System, Chao, F., Lin, G., Zheng, L., Chang, X., Lin, C., Yang, L., Shang, C. 31 Oct 2020, In: Sustainability
  • A Novel Self-Organizing Emotional CMAC Network for Robotic Control, Zhang, J., Li, Q., Chang, X., Chao, F., Lin, C., Yang, L., Huynh, T., Zheng, L., Zhou, C., Shang, C. Jul 2020, 2020 International Joint Conference on Neural Networks( IJCNN) , Piscataway, Institute of Electrical and Electronics Engineers Inc.
  • A Robotic Chinese Stroke Generation Model Based on Competitive Swarm Optimizer, Li, Q., Fei, C., Gao, X., Yang, L., Lin, C., Shang, C., Zhou, C. 1 Jan 2020, Advances in Computational Intelligence Systems - Contributions Presented at the 19th UK Workshop on Computational Intelligence, 2019, Springer
  • 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
  • A Study of the Necessity of Signal Categorisation in Dendritic Cell Algorithm, Elisa, N., Chao, F., Yang, L. 1 Jan 2020, Advances in Computational Intelligence Systems - Contributions Presented at the 19th UK Workshop on Computational Intelligence, 2019, Springer
  • Big Data in Healthcare, Kale, S., Tamakuwala, H., Vijayakumar, V., Yang, L., Rawal Kshatriya, B. 1 Jan 2020, Proceedings of 6th International Conference on Big Data and Cloud Computing Challenges - ICBCC 2019, Springer
  • Curvature-Based Sparse Rule Base Generation for Fuzzy Interpolation Using Menger Curvature, Zuo, Z., Li, J., Yang, L. 1 Jan 2020, Advances in Computational Intelligence Systems - Contributions Presented at the 19th UK Workshop on Computational Intelligence, 2019, Springer
  • Embedding Fuzzy Rules with YARA Rules for Performance Optimisation of Malware Analysis, Naik, N., Jenkins, P., Savage, N., Yang, L., Naik, K., Song, J. Jul 2020, 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Piscataway, Institute of Electrical and Electronics Engineers Inc.

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 A Decentralised Secure and Privacy-Preserving E-Government System 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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