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Professor Shuang-Hua Yang

Picture of Shuang-Hua Yang

Head of the Department of Computer Science

Office

Room 154

Building location

Polly Vacher

Areas of interest

Cyber-Physical Systems Safety and Security, Industrial IoT (Internet of Things), Low Power Wide Area Network (LPWAN), LoRa, Time Series Data Analysis, Machine Learning, Air Pollution Source Term Estimation (SET)

Teaching

Shuang-Hua has been teaching various modules in UG and PG programs. In the recent years he has mainly taught:

  • Computer Networking (UG)
  • Advanced Networks and Big Data (PG)
  • Internet of Things (UG)
  • Control Theory (UG)
  • Wireless Networks (PG)
  • Wireless Sensor Networks (PG)

Research projects

As a principal investigator Shuang-Hua Yang has received significant amounts of research grants from many diverse funding bodies in the UK, Europe, and China including FP7, MoD, EPSRC, TSB, ERDF, the British Council, NSFC, MOST et al. He has a wide range of collaboration with British industries and Chinese industries such as BAE Systems, Rolls Royce, Toyota UK, Arqiva, GL et al.

Shuang-Hua Yang's research work on safety and security of Cyber-Physical Systems (CPS) proposed a series of approaches in the stages of intrusion detection, intrusion response and recovery for ensuring the functional safety and information security for CPS.  The ways of identifying and eliminating contradictions between security and safety requirements, intrusion tolerant control strategies and online risk assessment approaches form his novel contributions to the field.

Shuang-Hua Yang's research work on wireless network-based monitoring and control is seminal in the field of wireless communication, and has led to a whole new sub-field, entitled wireless monitoring and control, which has had high impact in both research and commercial technology. His pioneering work on Internet-based control has had significant impact on industrial internet research and industrial communities. He has authored two research monographs on Internet-based control and wireless sensor networks respectively with over 100K downloads. He invented a new nonintrusive water flowrate sensing technology (patented), a new LoRa based wireless communication protocol (patented), a new direction switchable security gateway (patented), a new energy harvest technology, an adaptive wireless tracking system (UWB) (patented) and a virtual home-based security protection approach.  The LoRa based communication protocol and module have been commercialized and widely deployed in Chinese industries. UWB based tracking systems have been deployed in CNOOC (China National Offshore Oil Corporation) and ZigBee based solutions have been applied by Toyota UK and Toys R Us logistic in the UK.

Shuang-Hua Yang's recent research work on air pollution monitoring focuses on source term estimation with deficient sensors. For chemical industrial parks (CIPs), he gave a theoretical definition of traceability as a general criterion to determine whether a STE problem has a unique solution. Conditions which should be met are derived in order to convert an untraceable problem into a partially traceable or a full traceable one. Using this theoretical result, micro stationary monitoring stations, mobile monitoring vehicles, unmanned aerial vehicle (UAV) are employed and the STE algorithms are developed and applied in a real CIP and still in operation.

Background

Prof Shuang-Hua Yang is currently the Head of Department of Computer Science at the 17³Ô¹Ï (UoR), UK. Before joining UoR, he was serving as the Executive Deputy Dean of the Graduate School in SUSTech (Southern University of Science and Technology, China) and a chair professor in Computer Science between 2016 to 2022. He spent over two decades in Loughborough University in the UK. He joined Loughborough University in 1997 as a research assistant, and progressing to a research fellow in 1999, a lecturer in 2000, a senior lecturer in 2003, a professor in 2006, and Head of Department of Computer Science in 2014. His educational history originated in China where he received a BSc in 1983, an MSc in 1986, both from the Petroleum University and a PhD in 1991 from Zhejiang University. He was awarded a Doctor of Science degree, a higher doctorate degree, in 2014 from Loughborough University to recognize his scientific achievement in his academic career. In the same year he was selected as a Fellow of the Institute of Engineering and Technology (IET).


Academic qualifications

  • Doctor of Science (DSc), Loughborough University, UK 2014
  • PhD, Zhejiang University, China, 1991
  • MSc, Petroleum University, China, 1986
  • BSc, Petroleum University, China, 1983

Professional bodies/affiliations

  • Member of the European Academy of Science and Arts (MEASA) since 2024
  • Fellow of the Institute of Engineering and Technology (FIET) since 2014
  • Fellow of the Institute of Measurement and Control (FInstMC) since 2006
  • Senior Member of the Institute of Electrical and Electronic Engineers (SMIEEE) since 2003
  • Fellow of Higher Education Association (FHEA)
  • Associate Editor of IET Cyber-Physical Systems: Theory and Applications, since 2017
  • Member of the editorial and advisory board of the International Journal of Information and Computer Security, since 2004
  • Member of the editorial and advisory board of the International Journal of Advanced Mechatronics Systems, since 2008

Websites/blogs

 

Selected publications

  1. Zhu, Q., Ding, Y., Jiang, J., Yang, S.H. * (2025) Anomaly detection using invariant rules in industrial control systems, Control Engineering Practice, 154, 106164.
  2. Wang, Y., Ji, Z., Cao, Y., Yang. S.H. * (2025) Dynamic risk assessment for process operational safety based on reachability analysis, Reliability Engineering & System Safety, 253, 110564.
  3. Li, S., Yang, S.H. *, Cao, Y., Jiang, X., Zhou, C. (2025) A benchmark of industrial polymerization process for thermal runaway process monitoring, Process Safety and Environmental Protection, 193, 353-363.
  4. Tang, X., Zhou, C., Su, H., Cao Y., Yang, S.H. (2024) Globalization of distributed parameter self-optimizing control, AIChE Journal, DOI:
  5. Zhou, C., Su, H., Tang, X., Cao, Y., Yang, S.H. *, Ye, L. * (2024) , Industrial &Engineering Chemistry Research, DOI:
  6. Xu, Y., Ding, Y., Jiang, J., Cong, R., Zhang, X., Wang, S., Kwong, S., Yang. S.H. * (2024) Skip-patching spatial–temporal discrepancy-based anomaly detection on multivariate time series, Neurocomputing, 609, 128428.
  7. Su, H., Zhou, C., Tang, X., Cao, Y., Pan, F., Yang, F., Yang S.H. * (2024) Shaping of molecular weight distribution using self-optimizing control based on moments, Industrial &Engineering Chemistry Research, 63(44), 19076-19090.
  8. Feng, Z., Zhu, F., Wang, H., Hao, J., Yang, S.H. *, Zeng, W., Qu, H. (2024) HoLens: A visual analytics design for higher-order movement modeling and visualization, Computational Visual Media, 1-22.
  9. Wang, X., Zhang, X., Pedrycz, W., Yang, S.H., Boutat, D. (2024) Consensus of TS fuzzy fractional-order, singular perturbation, multi-agent systems, Fractal and Fractional, 8(9), 523.
  10. Zhang, X., Jiang, Z., Ding, Y., Ngai, E.C.H., Yang, S.H. * (2024) Anomaly detection using isomorphic analysis for false data injection attacks in industrial control systems, Journal of the Franklin Institute, 361 (13), 107000.
  11. Sun, Z., Chen, G., Ding, Y., Yang, S.H. * (2024) Joint safety and security risk analysis in industrial cyber-physical systems: a survey, IET Cyber-Physical Systems: Theory & Applications, 9(4), 334-349.
  12. Zhou, C., Wang, S, Su, H., Tang, X., Cao, Y., Yang, S.H. * (2024) Dynamic controlled variables based dynamic self-optimizing control, Journal of Process Control, 138, 103228.
  13. Zhou, Y., Liu, C. Ding, Y., Yuan, D., Yin, J., Yang, S.H. * (2024) Crowd descriptors and interpretable gathering understanding, IEEE Transactions on Multimedia, 26, 8651-8664, DOI: 10.1109/TMM.2024.3381040
  14. Zhou, C., Cao, Y. Yang, S.H. *, (2024) Performance guaranteed MPC policy approximation via cost guided learning, IEEE Control Systems Letters, 8, 346-351, DOI: 10.1109/lcsys.2024.3379115
  15. Zhang, F., Hong. S., Ding, Y., Yang, S.H. * (2024) Ultra-Wideband based real-time positioning with cascaded wireless clock synchronization method, IEEE Internet of Things Journal, 11(9), 16731-16745, DOI: 10.1109/JIOT.2024.3356117
  16. Feng, Y., Cao, Y., Yang, S.H. *, Yang, L., Wei, T. (2024) An approximation algorithm for bus evacuation problem, Neurocomputing, 574, 127252,
  17. Zhou, C., Su, H., Tang, X., Cao, Y., Yang, S.H. * (2024) Global self-optimizing control of batch processes, Journal of Process Control, 135, 103163, DOI:10.1016/j.jprocont.2024.103163
  18. Liu, C., Chen, J., Chen, Y., Payton, R., Riley, M., Yang, S,H. * (2024) Self-supervised adaptive weighting for cooperative perception in V2V communications, IEEE Transactions on Intelligent Vehicles, 9(2), 3569-3580, DIO: 10.1109/TIV.2023.3345035
  19. Zhang, L., Wang, Q-G., Yang, S.H. (2024) Partial and full detection of source terms, IEEE Transactions on Circuits and Systems II: Express Briefs, 71(2): 977-981, DOI:
  20. Zhao, X, Zhou, W, Cheng, K, Cao, Y., Yang S.H. * (2024) Regression-enhanced Entrotaxis as an autonomous search algorithm for seeking an unknown gas leakage source[J/OL], Expert Systems with Applications, 242: 122569. DOI:10.1016/j.eswa.2023.122569.
  21. Feng, Z., Jiang, Y., Wang, H., Fan, Z., Ma, Y., Yang, S.H., Qu, H., Song, X. (2024), TrafPS: A shapley-based visual analytics approach to Interpret traffic, Computational Visual Media, 10(6), 1101-1119
  22. Liu, C., Zhou, Y., Chen, Y., Yang, S.H. * (2024) Knowledge distillation based semantic communications for multiple users, IEEE Transactions on Wireless Communications, 23(7), 7000-7012, DOI: 10.1109/TWC.2023.3336941
  23. Sun, Z., Ding Y., Pei, K., Yang, S.H* (2024) Contradiction identification of safety and security requirements for industrial cyber-physical systems, IEEE Internet of Things Journal, 11(7), 12033-12057, DOI: 10.1109/JIOT.2023.3332128
  24. Zhou, Y., Jiang J., Yang S.H. *, He, L., Ding, Y., Liu, K., Zhou, G., Qing, Y. (2024) A data distillation enhanced autoencoder for detecting anomalous gas consumption, IEEE Internet of Things Journal, 11(2), 3473-3483, DOI: 10.1109/JIOT.2023.3296538
  25. Liu, C., Chen, Y., Chen, J., Payton, R., Riley, M., Yang, S.H. * (2023) Cooperative perception with learning-based V2V communication, IEEE Wireless Communications Letter, 12(11), 1831-1835, DOI: 10.1109/LWC.2023.3295612
  26. Wang, S., Zhou, C., Cao Y., Yang, S.H. * (2023) Multiblock dynamic enhanced canonical correlation analysis for industrial MSW combustion state monitoring, Control Engineering Practice, 138, 105612, https://doi.org/10.1016/j.conengprac.2023.105612
  27. Wang, Y, Ji, Z, Cao, Y, Yang, S.H. * (2023) Safety Critical Variable Analysis for Process Systems, Industrial & Engineering Chemistry Research, 62(50), 21704-21720, DOI:10.1021/acs.iecr.3c02715.
  28. Tang, X, Zhou, C, Su, H, Yang, S.H. * (2023) Self-Optimizing Control Strategy for Distributed Parameter Systems. Industrial & Engineering Chemistry Research, 62(26): 10121-10132.
  29. Yang, S.H. *, Cao, Y, Ding, Y. (2023) Advanced Process Safety and Protection of Cyber-Physical Systems, Processes, 11, 3419. doi.org/10.3390/pr11123419
  30. Hong, S., Yao, F., Ding, Y., Yang, S.H. * (2023) LPWC: Long preamble wake-up communication protocol for a LoRa network, Internet of Things, 22, 100787.
  31. Feng, Y., Cao, Y. Yang, S.H. *, Yang, L., Wei, T. (2023) A two-step sub-optimal algorithm for bus evacuation planning, Operational Research, 23(2), PP. 23-36, DIO: 10.1007/s12351-023-00781-x
  32. Cheng, K., Zhao, X., Zhou, W., Cao, Y., Yang, S.H. * (2023) Excess Emission Sources Identification via Sparse Monitoring Networks, IEEE Transactions on Industrial Informatics, 19(10), pp. 10309-10321.
  33. Su, H, Cao, Y., Yang, S.H. *, Ye, L. (2023) Lagrange-based Global Self-Optimizing Control for Constraint Activeness Varying Processes, IEEE Access, 11, 44600-44613, DIO: 10.1109/ACCESS.2023.3272399
  34. Ye, L., Cao, Y., He, Y., Zhou, C., Su, H., Tang, X., Yang, S.H. (2023) Generalized global self-optimizing control for chemical processes part I. The existence of perfect controlled variables and numerical design methods,Industrial &Engineering Chemistry Research,62(37), 15051-15069.
  35. Zhao, X., Cao, Y. Yang, S.H. * (2023) Spectral properties inspired image enhancement for crystalline polymer powder impurity detection, ISA Transactions, 137, PP. 706-716 DOI:
  36. Li, S., Yang, S.H.*, Cao Y. (2023) Nonlinear Dynamic Process Monitoring Using Canonical Variate Kernel Analysis, Processes, 11, 99;
  37. Ji, Z., Wang, Y., Zhang, Y., Gao, Y., Cao Y., Yang, S.H. * (2023) Integrating diminished quality of life with virtual reality for occupational health and safety training, Safety Science, 158, 105999, DOI: 10.1016/j.ssci.2022.105999
  38. Yao, F., Ding, Y., Hong, S., & Yang, S.H. * (2022) A Survey on Evolved LoRa-Based Communication Technologies for Emerging Internet of Things Applications. International Journal of Network Dynamics and Intelligence, 1(1), 4–19, DOI: 10.53941/ijndi0101002
  39. Zhou, C., Wang, S., Cao, Y., Yang, S.H. *, Bai, B. (2022) Online Pyrometry Calibration for Industrial Combustion Process Monitoring, Processes, 10, 1694, DOI: 10.3390/pr10091694.
  40. Liu, Y., Zhang, F., Ding Y., Jiang J., Yang, S.H. * (2022) Sub-messages Extraction for Industrial Control Protocol Reverse Engineering, Computer Communications, 194, 1-14.
  41. Feng, Z., Qu, H., Yang, S.H. *, Ding, Y., Song, J. (2022) A Survey of Visual Analytics in Urban Area, Expert Systems, April，39(9): e13065， DOI: 10.1111/exsy.13065
  42. Hong, S., Yao, F., Ding, Y., Yang, S.H. * (2022) A Hierarchy-based Energy Efficient Routing Protocol for LoRa-Mesh Network. IEEE Internet of Things Journal, 9 (22), 22836-22849 , DOI: 10.1109/JIOT.2022.3185619
  43. Zhang, F., Yang, L., Liu, Y., Ding, Y., Yang, S.H., Li, H. (2022) Design and implementation of real-time localization system (RTLS) based on UWB and TDOA algorithm. Sensors, 22, 4353, DOI: 10.3390/s22124353
  44. Zhao, X., Cheng, K., Zhou, W., Cao, Y., Yang, S.H. *(2022) Multivariate statistical analysis for the detection of air pollution episodes in chemical industry parks. International Journal of Environmental Research and Public Health, 19, 7201, DOI: 10.3390/ijerph19127201
  45. Ji, Z., Su, H., Wang, Y., Cao Y., Yang, S.H. *, (2022) Assessing the risk of hazards with multidimensional consequences for industrial processes, Processes, 10, 1145, DOI: 10.3390/pr10061145
  46. Liu, C., Chen, Y., Yang, S.H. * (2022) Deep learning based detection for communication systems with radar interference, IEEE Transactions on Vehicular Technology, 71(6): 6245-6254, DIO: 10.1109/TVT.2022.3158692.
  47. Yang, S.H., Chen, J. (2022) Air pollution prevention and pollution source identification of chemical industrial parks, Process Safety and Environmental Protection, IChemE, March, 159, 992-995.
  48. Ye, L., Cao, Y., Yang, S.H. (2022) Global Self-optimizing Control with Active-set Changes: A Polynomial Chaos Approach, Computer and Chemical Engineering, 159(107662), 1-16.
  49. Su, H, Cao, Y., Yang, S.H. * (2022) An Intelligent Approach of Controlled Variable Selection for Constrained Process Self-optimizing Control，Systems Science & Control Engineering: An Open Access Journal, 10(1), 65-72.
  50. Li, S., Cao, Y., Yang, S.H. * (2022) Nonlinear Dynamic Process Monitoring Using Deep Dynamic Principal Component Analysis，Systems Science & Control Engineering: An Open Access Journal, 10(1), 55-64.
  51. Zhao, X., Cheng, K., Zhou, W., Cao, Y., Yang, S.H. *, Chen, J. (2022) Source term estimation with deficient sensors: a temporal augment approach, Process Safety and Environmental Protection, IChemE, November, 157, 131-139.

 

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