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Professor Longzhi Yang


Department: Computer and Information Sciences

I am a Professor 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, Additive/Responsive Manufacturing, 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

  • Please visit the Pure Research Information Portal for further information
  • A Preliminary Study of Viewpoints of the Learner-Earner Journey, Prickett, T., Walters, J., Yang, L. 8 Apr 2024, ACM Conference on Innovation and Technology in Computer Science Education (ITiCSE)
  • Comprehensive Botnet Detection by Mitigating Adversarial Attacks, Navigating the Subtleties of Perturbation Distances and Fortifying Predictions with Conformal Layers, Yumlembam, R., Issac, B., Jacob, S., Yang, L. 13 Jun 2024, In: Information Fusion
  • Detect2Interact: Localizing Object Key Field in Visual Question Answering (VQA) with LLMs, Wang, J., Zhu, M., Li, Y., Li, H., Yang, L., Woo, W. 1 May 2024, In: IEEE Intelligent Systems
  • Internal Model Control Structure Inspired Robotic Calligraphy System, Wu, R., Chao, F., Zhou, C., Chang, X., Yang, L., Shang, C., Zhang, Z., Shen, Q. 1 Feb 2024, In: IEEE Transactions on Industrial Informatics
  • Investigation on distributed rescheduling with cutting tool maintenance based on NSGA-III in large-scale panel furniture intelligent manufacturing, Wang, J., Wu, Z., Yang, L., Hu, W., Song, C., Zhu, Z., Guo, X., Cao, P. 28 Feb 2024, In: Journal of Manufacturing Processes
  • Investigation on distributed scheduling with lot-streaming considering setup time based on NSGA-II in a furniture intelligent manufacturing, Wang, J., Wu, Z., Yang, L., Hu, W., Song, C., Zhu, Z., Guo, X., Cao, P. 18 Apr 2024, In: Journal of Intelligent and Fuzzy Systems
  • Local representation‐based neighbourhood for robust classification, Yao, Z., Qu, Y., Yang, L., Tan, Y., Shang, C., Chao, F., Shen, Q. 14 Apr 2024, In: Expert Systems
  • Self-Organizing Type-2 Fuzzy Double Loop Recurrent Neural Network for Uncertain Nonlinear System Control, Li, L., Chang, X., Chao, F., Lin, C., Huỳnh, T., Yang, L., Shang, C., Shen, Q. 14 May 2024, In: IEEE Transactions on Neural Networks and Learning Systems
  • Solving Robotic Trajectory Sequential Writing Problem via Learning Character’s Structural and Sequential Information, Li, Q., Guo, Z., Chao, F., Chang, X., Yang, L., Lin, C., Shang, C., Shen, Q. 1 Feb 2024, In: IEEE Transactions on Cybernetics
  • Adaptive ankle impedance control for bipedal robotic upright balance, Yin, K., Wang, Y., Li, P., Dai, K., Xue, Y., Yang, L. 1 Jun 2023, In: Expert Systems

  • Please visit the Pure Research Information Portal for further information
  • Organising a conference, workshop, ...: 21th IEEE International Conference on Machine Learning and Applications (ICMLA) 2022
  • Organising a conference, workshop, ...: 19th UK Workshop on Computational Intelligence 2019
  • Organising a conference, workshop, ...: 8th EAI International Conference on Cloud Computing 2018
  • Organising a conference, workshop, ...: BMVC 2018 - British Machine Vision Conference 2018

  • Rebeen Hamad Sequential Learning and Shared Representation for Sensor-Based Human Activity Recognition Start Date: 04/03/2022 End Date: 24/03/2023
  • Manli Zhu Spatial Representation Learning for Human-centric Image/Video Understanding and Analysis Start Date: 01/08/2022
  • Jie Li Fuzzy Interpolation Systems with Knowledge Extraction and Adaptation Start Date: 01/10/2014 End Date: 10/04/2019
  • Yao Tan Curvature-Based Sparse Rule Base Generation for Fuzzy Rule Interpolation Start Date: 01/02/2015 End Date: 04/03/2020
  • Zheming Zuo Feature Extraction and Encoding for Video Action Recognition Start Date: 06/06/2016 End Date: 17/12/2020
  • Philip Anderson Start Date: 01/03/2020 End Date: 18/11/2020
  • Mansoureh Pezhman Pour Development of Medical Image/Video Segmentation Via Deep Learning Models Start Date: 21/02/2020 End Date: 19/07/2021
  • Laura Pearson Start Date: 01/03/2020 End Date: 19/11/2020
  • Noe Nnko A Decentralised Secure and Privacy-Preserving E-Government System Start Date: 01/11/2017 End Date: 28/09/2021

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

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