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Professor Yongqiang Cheng


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Professor of AI

I have research interests in AI/ML, smart systems and digital healthcare technologies, robotics, WSN, and networking. I hold a world-class research track record of working/leading on over 15 projects. 

I have produced 100+ papers in leading international journals and highly prestigious conferences. I am a member of BCS, IEEE, IEEE Robotics and Automation Society, Chinese Automation and Computing Society (CACSUK), and Fellow of Higher Education Academy.

I am an associate editor of Elsevier Neurocomputing, IEEE Access, and guest editor of several MDPI journals. I am the general conference chair of ICAC2024 and actively serve as a technical programme committee member or session chair of several reputable International Conferences.

I have successfully supervised 8 PhDs and welcome PhD applications in all relevant areas.



Teaching and supervision

I lead module CET 300 and supervise students in module PROMO2.

PhD supervisions:

Current:

  • Mr F Cao, acoustic localisation using deep learning. (CSC scholarship).
  • Mr H Alkaraawi, Machine learning-based assistance to improve quality of life of cancer patients, co-supervisor
  • Ms H Maraha, Intelligent System for Biomedical Images Analysis, co-supervisor
  • Mr Y Chang, Autonomous Navigation for Quadrotor UAV in complex indoor environments based on Image Enhancement and Sensor Fusion, lead supervisor (CSC scholarship)
  • Mr Y Xue, AI in plastic circular economic, co-supervisor


Completed:

  • Mr James Morris, MSc by research, Lead supervisor, Design and implementation of a wheelchair ergometer for interactive, entertaining rehabilitation and data capturing, lead supervisor
  • Dr Albert Dulian (part-time), Short-term motion prediction of autonomous vehicles in complex environments: A Deep Learning approach, lead supervisor
  • Dr T Dang, Deep learning and sentiment analysis for high-frequency stock prediction, lead supervisor.
  • Dr P Quintero, AI for radiotherapy, co-supervisor
  • Dr G Lacey, Using Artificial Epigenetic Models to Develop Modularity and Transparency within Biologically Inspired Connectionist Architectures, lead supervisor
  • Dr A Schoene, AI for emotion detection in tweets, co-supervisor
  • Dr D Xue, A smart healthcare robot using ambient intelligence, lead supervisor  (CSC scholarship)
  • Dr M Al Khaldy, Autoencoder for clinical data analysis and classification: data imputation, dimensional reduction, and pattern recognition, co-supervisor
  • Dr R Munnoch, Personal data gathering and management for a patient-centred health care system, co-supervisor

Research interests for potential research students

I welcome PhD applications in areas of AI/ML, smart systems and digital healthcare technologies, robotics, WSN, and networking. If you're unsure, feel free to get in touch.

China Scholarship Council (CSC) PhD applications are also welcomed, please get in touch with me.

Research

Recent projects:

  • 2023–2025, Smart speaker for smart record keeping aimed at adult social care, Innovative UK KTP, £181k, CI
  • 2022–2023, Sensors, big data, and AI-based Intelligent Decision Assistant for agricultural enterprises. Innovative UK, £170k, CI
  • 2020–2023, Point of care integrated vital sign monitor, Innovative UK KTP, £329K, PI
  • 2019, Online home-based exercise programme for prevention and treatment of Type 2 Diabetes, NIHR, £5k, CI
  • 2018–2019, Generation of an online platform/app to develop individualised home-based personal training/exercise programmes for obesity and other obesity-associated medical conditions for personalised medicine, HEIF, £47,942, CI
  • 2017–2019, Digital Stethoscope for Health Monitoring, NCS Group Ltd., £16,339, PI
  • 2013–2017, Vital sign monitor, iMonSys Ltd. £36K. CI(2014-15)/PI(2015-17)

Publications

Jump to: Article
Number of items: 12.

Article

Ding, Xintao, Luo, Yonglong, Jie, Biao, Li, Qingde and Cheng, Yongqiang (2024) Using outlier elimination to assess learning-based correspondence matching methods. Information Sciences, 659. ISSN 0020-0255

Cheng, Yongqiang, Chang, Yingxiu, Murray, John and Manzoor, Umar (2023) A review of UAV autonomous navigation in GPS-denied environments. Robotics and Autonomous Systems, 170. ISSN 0921-8890

Qing, Linbo, Wen, Hongqian, Chen, Honggang, Jin, Rulong, Cheng, Yongqiang and Peng, Yonghong (2023) DVC-Net: a new dual-view context-aware network for emotion recognition in the wild. Neural Computing and Applications. ISSN 0941-0643

Cheng, Yongqiang (2023) Cross-modal Hash Retrieval Based on Semantic Multiple Similarity Learning and Interactive Projection Matrix Learning. Information Sciences, 648 (119571). ISSN 0020-0255

Quintero, Paulo, Benoit, David, Yongqiang, Cheng, Moore, Craig and Beavis, Andrew (2023) Evaluation of the dataset quality in gamma passing rate predictions using machine learning methods. British Journal of Radiology, 96 (1147). ISSN 0007-1285

Cheng, Yongqiang, Balding, Steven, Gning, Amadou and Iqbal, Jamshed (2023) Information Rich Voxel Grid for Use in Heterogeneous Multi-Agent Robotics. Applied Sciences, 13 (8). ISSN 2076-3417

Chang, Yingxiu, Cheng, Yongqiang, Murray, John, Huang, Shi and Shi, Guangyi (2022) The HDIN Dataset: A Real-World Indoor UAV Dataset with Multi-Task Labels for Visual-Based Navigation. Drones, 6 (8). ISSN 2504-446X

Yang, Zhijing, Lai, Shujian, Hong, Xiaobin, Shi, Yukai, Cheng, Yongqiang and Qing, Chunmei (2022) DFAEN: Double-order knowledge fusion and attentional encoding network for texture recognition. Expert Systems with Applications, 209. ISSN 0957-4174

Cheng, Yongqiang, Ding, Xintao, Luo, Yonglong, Li, Qingde and Gope, Prosanta (2022) Consensus Adversarial Defense Method Based on Augmented Examples. Transactions on Industrial Informatics. pp. 984-994. ISSN 1941-0050

Wang, Wei, Gope, Prosanta and Cheng, Yongqiang (2022) An AI-Driven Secure and Intelligent Robotic Delivery System. Transactions on Engineering Management. pp. 1-16. ISSN 1558-0040

Than, Junpeng, Yang, Zhijing, Ren, Jinchang, Wang, Bing, Cheng, Yongqiang and Ling, Wing-Kuen (2021) A Novel Robust Low-rank Multi-view Diversity Optimization Model with Adaptive-Weighting Based Manifold Learning. Pattern Recognition, 122. ISSN 0031-3203

Tan, Junpeng, Yang, Zhijing, Cheng, Yongqiang, Ye, Jielin, Wang, Bing and Dai, Qinguyn (2021) SRAGL-AWCL: A two-step multi-view clustering via sparse representation and adaptive weighted cooperative learning. Pattern Recognition, 117. ISSN 0031-3203

This list was generated on Thu May 2 14:55:01 2024 BST.
  • AI/ML
  • Smart systems and digital healthcare technologies
  • Robotics
  • WSN
  • Networking

Last updated 22 April 2024