Projects per year
Personal profile
Research Interests
Big data, intelligent algorithms, cloud computing, process planning
Biography
Sheng Wang received her BSc and MSc in Elecronics engineering from Xidian University China in 1992 and 1995 respectively. She then worked at the National Key Laboratory of Antennas at Xidian University as a research engineer. After that, she worked at Singapore National Institute of High Performance Computing as a senior research engineer before moving to the UK for her PhD study. She gained her PhD in electronics engineering at Queen Mary University of London, after which she was appointed as a research assitant at Queen Mary University of London. In 2013, she joined the Coventry University as a senior research assistant. She participated in numbers of projects in the UK, EU, Singapore and industry, with 20 years of research and product development experience. Mainly engaged in software and algorithm development, antenna design, optimisation of process planning, cloud platform development and design.
Vision Statement
The national manufacturing research has set one priority on using emerging ICT tools and information methodologies for future manufacturing technologies. My research will focus on employing cyber physical systems, cloud computing, big data and artifical intelligence on manufacturing processes, to enhance the manufacturing intelligence and increase efficiency.
Education/Academic qualification
Doctorate, Queen Mary University of London
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Projects
- 1 Finished
Assured Parking: Assured Parking - Trusted Autonomous Parking
Kanarachos, S., Haas, O., Christensen, J., Rajbhandari, S., Wang, S., Silverio Fernandez, M., Kouh Daragh, V., Horri, N., Hafiz, A., Foo, M. & Amin, S.
1/03/19 → 31/08/20
Project: Research
Research Output
Data Driven Anomaly Diagnosis for Machining Processes
Liang, Y., Wang, S., Li, W. & Lu, X., Aug 2019, In : Engineering. 5, 4, p. 646-652 7 p.Research output: Contribution to journal › Article
Open Access
File
3
Citations
(Scopus)
18
Downloads
(Pure)
Fog computing and convolutional neural network enabled prognosis for machining process optimization
Liang, Y., Li, W., Lu, X. & Wang, S., Jul 2019, In : Journal of Manufacturing Systems. 52, Part A, p. 32-42 11 p.Research output: Contribution to journal › Article
Open Access
File
7
Citations
(Scopus)
21
Downloads
(Pure)
Sustainable Manufacturing and Remanufacturing Management: Process planning, optimization and applications
Li, W. (ed.) & Wang, S. (ed.), 2019, 1 ed. Springer. 346 p.Research output: Book/Report › Book
A multi-sensor based online tool condition monitoring system for milling process
Zhang, X., Lu, X., Wang, S., Wang, W. & Li, W., 2018, In : Procedia CIRP. 72, p. 1136-1141 6 p.Research output: Contribution to journal › Conference article
Open Access
File
12
Citations
(Scopus)
4
Downloads
(Pure)
Big Data enabled Intelligent Immune System for energy efficient manufacturing management
Wang, S., Liang, Y., Li, W. & Cai, X., 10 Sep 2018, In : Journal of Cleaner Production. 195, p. 507-520 13 p.Research output: Contribution to journal › Article
Open Access
File
19
Citations
(Scopus)
45
Downloads
(Pure)