![Jialu Yang](https://profiles-cardiff.imgix.net/attachments/3532?w=200&h=200&auto=format&crop=faces&fit=crop&q=90")
Publication
2023
- Yang, J., Liu, Y. and Morgan, P. 2023. Sensor and data: key elements of human-machine interaction for human-centric smart manufacturing. Presented at: 5th International Conference on Industry 4.0 and Smart Manufacturing, 22-24 November 2023. Elsevier
2022
- Yang, J., Liu, T., Liu, Y. and Morgan, P. 2022. Review of human-machine interaction towards industry 5.0: human-centric smart manufacturing. Presented at: International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC-CIE 2022), St. Louis, MO, USA, 14-17 August 202242nd Computers and Information in Engineering Conference (CIE), Vol. 2. The American Society of Mechanical Engineers, (10.1115/DETC2022-89711)
2021
- Yang, J., Chen, Z., Liu, Y. and Ryan, M. 2021. Sliding window filter based strip breakage modelling for failure prediction. Presented at: IEEE 17th International Conference on Automation Science and Engineering (CASE 2021), Lyon, France, 23-27 August 20212021 IEEE 17th International Conference on Automation Science and Engineering (CASE). IEEE pp. 1461-1466., (10.1109/CASE49439.2021.9551660)
Conferences
- Yang, J., Liu, Y. and Morgan, P. 2023. Sensor and data: key elements of human-machine interaction for human-centric smart manufacturing. Presented at: 5th International Conference on Industry 4.0 and Smart Manufacturing, 22-24 November 2023. Elsevier
- Yang, J., Liu, T., Liu, Y. and Morgan, P. 2022. Review of human-machine interaction towards industry 5.0: human-centric smart manufacturing. Presented at: International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC-CIE 2022), St. Louis, MO, USA, 14-17 August 202242nd Computers and Information in Engineering Conference (CIE), Vol. 2. The American Society of Mechanical Engineers, (10.1115/DETC2022-89711)
- Yang, J., Chen, Z., Liu, Y. and Ryan, M. 2021. Sliding window filter based strip breakage modelling for failure prediction. Presented at: IEEE 17th International Conference on Automation Science and Engineering (CASE 2021), Lyon, France, 23-27 August 20212021 IEEE 17th International Conference on Automation Science and Engineering (CASE). IEEE pp. 1461-1466., (10.1109/CASE49439.2021.9551660)
Biography
I joined the High-Value Manufacturing Group at the School of Engineering, Cardiff University as a PhD student under Dr Ying Liu's supervision on 1st July, 2021. I have expertise in mechanical engineering, and my MSc's main research content is big data analysis and processing in a manufacturing environment. My current research direction is human-machine interaction in the manufacturing process.