Dr Yongqiang Cheng

Dr Yongqiang Cheng

Senior Lecturer

Faculty and Department

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

Summary

Dr Yongqiang Cheng specialises in digital healthcare, robotics, AI, embedded systems, WSN, networking and data science.

His current research focuses are smart system and digital health, including ambient living robotics and non-invasive healthcare devices with predictive analysis on the collected data.

Dr Cheng holds a world-class research track record of working / leading on more than 15 projects, including TSB SINCBAC (£2M) and EU FP7 SANDRA (Euro 23.9M).

He has also produced 50+ papers for leading international journals and highly prestigious conferences.

Dr Cheng has three years' experience of telecom industrial work and 18 years of programming.

Undergraduate

Current teaching modules:

• Computer Systems

• Embedded Systems Development

• Mobile Devices and Applications

• Final year projects

Recent outputs

View more outputs

Journal Article

Interpretable emotion recognition using EEG signals

Qing, C., Qiao, R., Xu, X., & Cheng, Y. (2019). Interpretable emotion recognition using EEG signals. IEEE access : practical innovations, open solutions, 7, 94160-94170. https://doi.org/10.1109/access.2019.2928691

DMP_MI: an effective diabetes mellitus classification algorithm on imbalanced data with missing values

Wang, Q., Cao, W., Guo, J., Ren, J., Cheng, Y., & Davis, D. N. (2019). DMP_MI: an effective diabetes mellitus classification algorithm on imbalanced data with missing values. IEEE access : practical innovations, open solutions, 7, 102232-102238. https://doi.org/10.1109/access.2019.2929866

Web3D learning framework for 3D shape retrieval based on hybrid convolutional neural networks

Zhou, W., Jia, J., Huang, C., & Cheng, Y. (2020). Web3D learning framework for 3D shape retrieval based on hybrid convolutional neural networks. Tsinghua Science and Technology, 25(1), 93-102. https://doi.org/10.26599/TST.2018.9010113

A nine months follow-up study of hemodynamic effect on bioabsorbable coronary stent implantation

Lan, Y., Zhou, Y., Lu, Y., Wang, H., Liu, Q., Ng, E. Y. K., …Che, W. (2019). A nine months follow-up study of hemodynamic effect on bioabsorbable coronary stent implantation. IEEE access : practical innovations, open solutions, 7, 112564-112571. https://doi.org/10.1109/access.2019.2934155

Ensemble MultiBoost Based on RIPPER Classifier for Prediction of Imbalanced Software Defect Data

He, H., Zhang, X., Wang, Q., Ren, J., Liu, J., Zhao, X., & Cheng, Y. (2019). Ensemble MultiBoost Based on RIPPER Classifier for Prediction of Imbalanced Software Defect Data. IEEE access : practical innovations, open solutions, 7, 110333-110343. https://doi.org/10.1109/access.2019.2934128

Research interests

digital healthcare, robotics, AI, embedded systems, WSN, networking and data science.

Postgraduate supervision

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