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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) (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 currently the Director of Learning and Teaching at the Department of Computer and Information Sciences. I supervise PhD and MSc students in the research areas of Computational Intelligence, Machine Learning, Computer Graphics/Vision, Planning/Scheduling, Automatic Control, Decision Making Support 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. My research has been founded by Royal Academy of Engineering, Innovate UK, Royal Society, and other funders; I also work with local companies as a technical consultancy.

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
  • Adaptive Activation Function Generation for Artificial Neural Networks through Fuzzy Inference with Application in Grooming Text Categorisation, Zuo, Z., Li, J., Wei, B., Yang, L., Chao, F., Naik, N. 7 Mar 2019
  • A data-driven robotic Chinese calligraphy system using convolutional auto-encoder and differential evolution, Gao, X., Zhou, C., Chao, F., Yang, L., Lin, C., Xu, T., Shang, C., Shen, Q. 15 Oct 2019, In: Knowledge-Based Systems
  • A Deep-Learning-Driven Light-Weight Phishing Detection Sensor, Wei, B., Hamad, R., Yang, L., He, X., Wang, H., Gao, B., Woo, W. 30 Sep 2019, In: Sensors
  • An Improved Fuzzy Brain Emotional Learning Model Network Controller for Humanoid Robots, Fang, W., Chao, F., Lin, C., Yang, L., Shang, C., Zhou, C. 4 Feb 2019, In: Frontiers in Neurorobotics
  • An Intelligent Online Grooming Detection System Using AI Technologies, Anderson, P., Zuo, Z., Yang, L., Qu, Y. 7 Mar 2019
  • A recurrent emotional CMAC neural network controller for vision-based mobile robots, Fang, W., Chao, F., Yang, L., Lin, C., Shang, C., Zhou, C., Shen, Q. 21 Mar 2019, In: Neurocomputing
  • A Revised Dendritic Cell Algorithm Using K-Means Clustering, Nnko, N., Yang, L., Qu, Y., Chao, F. 24 Jan 2019, 2018 IEEE 20th International Conference on High Performance Computing and Communications; IEEE 16th International Conference on Smart City; IEEE 4th International Conference on Data Science and Systems (HPCC/SmartCity/DSS), IEEE
  • A Robotic Writing Framework–Learning Human Aesthetic Preferences via Human–Machine Interactions, Gao, X., Zhou, C., Chao, F., Yang, L., Lin, C., Shang, C. 1 Oct 2019, In: IEEE Access
  • Curvature-Based Sparse Rule Base Generation for Fuzzy Rule Interpolation, Tan, Y., Shum, H., Chao, F., Vijayakumar, V., Yang, L. 14 May 2019, In: Journal of Intelligent and Fuzzy Systems
  • Cyberthreat Hunting - Part 1: Triaging Ransomware using Fuzzy Hashing, Import Hashing and YARA Rules, Naik, N., Jenkins, P., Savage, N., Yang, L. 7 Mar 2019

PGR Supervision

  • Jie Li Fuzzy Interpolation Systems with Knowledge Extraction and Adaptation Start: 01/10/2014
  • Noe Nnko Start: 01/11/2017
  • Yao Tan Curvature-Based Sparse Rule Base Generation for Fuzzy Rule Interpolation Start: 01/02/2015
  • Zheming Zuo Start: 06/06/2016


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