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

Dataset

The HDIN dataset: A Real-world Indoor UAV Dataset with Multi-task Labels for Visual-based Navigation

Chang, Y., Cheng, Y., Murray, J., Huang, S., & Shi, G. (in press). The HDIN dataset: A Real-world Indoor UAV Dataset with Multi-task Labels for Visual-based Navigation. [Dataset]

Journal Article

Consensus Adversarial Defense Method Based on Augmented Examples

Ding, X., Cheng, Y., Luo, Y., Li, Q., & Gope, P. (2022). Consensus Adversarial Defense Method Based on Augmented Examples. IEEE Transactions on Industrial Informatics, https://doi.org/10.1109/TII.2022.3169973

An AI-Driven Secure and Intelligent Robotic Delivery System

Wang, W., Gope, P., & Cheng, Y. (in press). An AI-Driven Secure and Intelligent Robotic Delivery System. IEEE Transactions on Engineering Management, https://doi.org/10.1109/TEM.2022.3142282

A Novel Robust Low-rank Multi-view Diversity Optimization Model with Adaptive-Weighting Based Manifold Learning

Tan, J., Yang, Z., Ren, J., Wang, B., Cheng, Y., & Ling, W. K. (2022). A Novel Robust Low-rank Multi-view Diversity Optimization Model with Adaptive-Weighting Based Manifold Learning. Pattern Recognition, 122, Article 108298. https://doi.org/10.1016/j.patcog.2021.108298

Msb r-cnn: A multi-stage balanced defect detection network

Xu, Z., Lan, S., Yang, Z., Cao, J., Wu, Z., & Cheng, Y. (2021). Msb r-cnn: A multi-stage balanced defect detection network. Electronics, 10(16), Article 1924. https://doi.org/10.3390/electronics10161924

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