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Dr Li Zhang

Associate Professor

Department: Computer and Information Sciences

EE Lizhang Staffprofile 255

I am an Associate Professor & Reader in the Department of Computer Science and Digital Technologies, Faculty of Engineering and Environment.

I co-lead the Affective and Smart Computing Research Group with Prof Rebecca Strachan, which focuses on a wide range of machine learning, computer vision, medical imaging and data mining challenges and problems. Currently, I am also an Honorary Research Fellow in the School of Computer Science, University of Birmingham. Before this, I worked as a Senior Lecturer in Northumbria University, a Senior Lecturer in Teesside University, and a postdoctoral Research Fellow in the University of Birmingham. I received a Ph.D. degree from the School of Computer Science, at the University of Birmingham.

Qualifications

Computing Science PhD

Key Publications

  • Please visit the Pure Research Information Portal for further information
  • Adaptive melanoma diagnosis using evolving clustering, ensemble and deep neural networks, Tan, T., Zhang, L., Lim, C. 1 Jan 2020, In: Knowledge-Based Systems
  • A Multi-Population FA for Automatic Facial Emotion Recognition, Mistry, K., Rizvi, B., Rook, C., Iqbal , ., Zhang, L., Joy, C. 24 Jul 2020, 2020 IEEE World Congress on Computational Intelligence (WCCI) - International Joint Conference on Neural Networks (IJCNN), Piscataway, NJ, IEEE
  • Deep learning-based fall detection, Chiang, J., Zhang, L. Oct 2020, Developments of Artificial Intelligence Technologies in Computation and Robotics, Singapore, World Scientific
  • Deep learning based melanoma diagnosis using dermoscopic images, Wall, C., Young, F., Zhang, L., Phillips, E., Jiang, R., Yu, Y. Oct 2020, Developments of Artificial Intelligence Technologies in Computation and Robotics, Singapore, World Scientific
  • Deep Learning based Pedestrian Detection at Distance in Smart Cities, Dinakaran, R., Easom, P., Bouridane, A., Zhang, L., Jiang, R., Mehboob, F., Rauf, A. 2020, Intelligent Systems and Applications: Proceedings of the 2019 Intelligent Systems Conference (IntelliSys). Volume 2, Cham, Springer
  • Detecting Spam Email With Machine Learning Optimized With Bio-Inspired Metaheuristic Algorithms, Gibson, S., Issac, B., Zhang, L., Jacob, S. 26 Oct 2020, In: IEEE Access
  • Dynamic analysis of a flexible rotor supported by ball bearings with damping rings based on FEM and lumped mass theory, Zhu, H., Chen, W., Zhu, R., Zhang, L., Gao, J., Liao, M. 12 Nov 2020, In: Journal of Central South University
  • Enhanced factorization machine via neural pairwise ranking and attention networks, Yu, Y., Jiao, L., Zhou, N., Zhang, L., Yin, H. Dec 2020, In: Pattern Recognition Letters
  • Evolving CNN-LSTM Models for Time Series Prediction Using Enhanced Grey Wolf Optimizer, Xie, H., Zhang, L., Lim, C. 16 Sep 2020, In: IEEE Access
  • Evolving Deep DenseBlock Architecture Ensembles for Image Classification, Fielding, B., Zhang, L. 9 Nov 2020, In: Electronics

PGR Supervision

  • Benjamin Fielding Evolving and Ensembling Swarms Of Deep Neural Architectures For Computer Vision Start: 01/10/2015
  • Adam Robson Start: 01/10/2019
  • Ranjith Dinakaran Deep Target Detection from Visual Surveillance in Smart Cites Start: 11/03/2019
  • Jess Tindall Start: 01/10/2019
  • Jess Tindall Start: 01/10/2019
  • Tom Lawrence Start: 01/10/2018
  • Hailun Xie Evolving machine learning and deep learning models using evolutionary algorithms Start: 08/06/2018
  • Samuel Slade Start: 01/10/2019
  • Philip Kinghorn Deep Learning-based Regional Image Caption Generation with Refined Descriptions Start: 01/10/2014
  • Teck Tan Intelligent Skin Cancer Detection Using Enhanced Particle Swarm Optimization Start: 29/05/2014
  • Adam Robson Intelligent Facial Expression Recognition Using Particle Swarm Optimization based Feature Selection Start: 30/11/2012
  • Diptangshu Pandit Intelligent ECG Processing and Abnormality Detection using Adaptive Ensemble Models Start: 10/04/2014
  • Worawut Srisukkham An Intelligent Decision Support System for Acute Lymphoblastic Leukaemia Detection Start: 09/12/2014
  • YUMING SHEN Start: 23/12/2016

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