Dr Yongqiang Cheng

Dr Yongqiang Cheng

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Faculty and Department

  • Faculty of Science and Engineering
  • Department of Computer Science and Technology

Summary

Dr Cheng has research interests in smart systems and digital healthcare, robotics, AI/ML, WSN and networking.

Dr Cheng holds a world-class research track record of working / leading on over 15 projects, part of University of Hull’s “Evolving a Circular Plastics Economy” project team. Some recent projects,

- 2020-Present, 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)

Dr Cheng has produced 80+ papers for leading international journals and highly prestigious conferences. He actively serves as technical program committee member or session chair of several reputable International Conferences, as an associate editor of IEEE Access, guest editor of MDPI Computers Journal. He is also a member of BCS, member of Chinese Automation and Computing Society (CACSUK), and Fellow of Higher Education Academy.

Current teaching modules:

• Computer Systems

• Embedded Systems Development

• Mobile Devices and Applications

• Microprocessor Design

• Final year projects

Recent outputs

View more outputs

Journal Article

Fingerprint enhancement using multi-scale classification dictionaries with reduced dimensionality

Bian, W., Xu, D., Cheng, Y., Li, Q., Luo, Y., & Yu, Q. (2020). Fingerprint enhancement using multi-scale classification dictionaries with reduced dimensionality. IET Biometrics, 9(5), 194-204. https://doi.org/10.1049/iet-bmt.2019.0121

Locality Regularized Robust-PCRC: A Novel Simultaneous Feature Extraction and Classification Framework for Hyperspectral Images

Yang, Z., Cao, F., Cheng, Y., Ling, W., & Hu, R. (in press). Locality Regularized Robust-PCRC: A Novel Simultaneous Feature Extraction and Classification Framework for Hyperspectral Images. IEEE transactions on geoscience and remote sensing : a publication of the IEEE Geoscience and Remote Sensing Society, 1-16. https://doi.org/10.1109/tgrs.2020.2988900

Local keypoint-based Faster R-CNN

Ding, X., Li, Q., Cheng, Y., Wang, J., Bian, W., & Jie, B. (in press). Local keypoint-based Faster R-CNN. Applied Intelligence, https://doi.org/10.1007/s10489-020-01665-9

Bio-AKA: An efficient fingerprint based two factor user authentication and key agreement scheme

Bian, W., Gope, P., Cheng, Y., & Li, Q. (2020). Bio-AKA: An efficient fingerprint based two factor user authentication and key agreement scheme. Future generations computer systems : FGCS, 109, 45-55. https://doi.org/10.1016/j.future.2020.03.034

Patient-Specific Coronary Artery 3D Printing Based on Intravascular Optical Coherence Tomography and Coronary Angiography

Huang, C., Lan, Y., Chen, S., Liu, Q., Luo, X., Xu, G., …Che, W. (2019). Patient-Specific Coronary Artery 3D Printing Based on Intravascular Optical Coherence Tomography and Coronary Angiography. Complexity, 2019, 1-10. https://doi.org/10.1155/2019/5712594

Research interests

smart system and digital healthcare, robotics, AI/ML, WSN, networking.

Postgraduate supervision

Dr Cheng welcomes PhD applications in digital healthcare, machine learning, robotics/flying robots, AI, smart systems, WSN, data science.

Current PGRs:

- Yingxiu Chang (current), PhD CS, Primary supervisor, Autonomous navigation and obstacle avoidance for drones using embedded devices

- Trung Thanh Dang (current), PhD CS, co-supervisor, Deep learning and sentiment analysis for high frequency stock prediction

- Yangyimin Xue (current),PhD CS, co-supervisor, AI for improving information workflows in circular plastic economy

- Paulo Mejia (current), PhD Physics, co-supervisor, AI for radio therapy

- George Lacey (current), PhD CS, co-supervisor, Using arti?cial epigenetic models to develop modularity and transparency within biologically inspired connectionist architectures

Completed PGRs:

- James Morris, ( 2021), MSc by research, Lead supervisor, Design and implementation of a wheelchair ergometer for interactive, entertaining rehabilitation and data capture

- Annika Marie Schoene (completed, 2021), PhD CS, co-supervisor, Investigating recurrent neural networks and knowledge graphs for fine-grained emotion detection in textual social media data

- Dongfei Xue(completed, 2018 ), Primary supervisor, Searching and monitoring people using assistive social robot with ambient intelligence in healthcare

- Mohammad Ali Al Khaldy (completed, 2017), Co-supervisor, Autoencoder for clinical data analysis and classification: data imputation, dimensional reduction, and pattern recognition

- Dr Robert Munnoch (completed, 2017), Co-supervisor, Personal data gathering and management for a patient centred health

care system