Dean of School of Computing, Engineering and Physical Sciences

Phone+44 141 848 3000
Emailian.allison@uws.ac.uk
Websitehttp://www.uws.ac.uk/schools/school-of-engineering-and-computing/research/

Organization profile

Profile Information

Dean

Fingerprint The fingerprint is based on mining the text of the scientific documents related to the associated persons. Based on that an index of weighted terms is created, which defines the key subjects of research unit

Snow and ice removal Engineering & Materials Science

Rain Engineering & Materials Science

Electrolytes Engineering & Materials Science

Fluids Engineering & Materials Science

Acids Engineering & Materials Science

Aircraft Engineering & Materials Science

Knowledge based systems Engineering & Materials Science

Fuzzy rules Engineering & Materials Science

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Profiles

Ian Allison

Person: Academic

David Ndzi

Dean of School of Computing, Engineering and Physical Sciences - Assistant Dean Global Engagement

Person: Academic

Carl Schaschke

Dean of School of Computing, Engineering and Physical Sciences - Dean

Person: Academic

Research Output 2015 2019

4 Article
2 Conference contribution
1 Chapter
1 Paper

Electrolyte effects on poly (acrylic acid)-based aircraft de-icing fluids

Wang, Y., Hudson, N. E., Pethrick, R. A. & Schaschke, C. J., 1 Jun 2019, In : Processes. 7, 6, 332.

Research output: Contribution to journal › Article

Open Access

File

carbopol 940

Snow and ice removal

Electrolytes

Acrylics

calcium acetate

Rain prediction using fuzzy rule based system in North-West Malaysia

Mohd Safar, N. Z., Ramli, A. A., Mahdin, H., Ndzi, D. & Khalif, K. M. N. K., 3 Jun 2019, In : Indonesian Journal of Electrical Engineering and Computer Science. 14, 3, p. 1572-1581 10 p.

Research output: Contribution to journal › Article

Open Access

File

Knowledge based systems

Fuzzy rules

Rain

Fuzzy logic

Fuzzy inference

Speaker recognition using PCA-based feature transformation

Ahmed, A. I., Chiverton, J. P., Ndzi, D. L. & Becerra, V. M., 2 Apr 2019, In : Speech Communication. 110, p. 33-46 14 p.

Research output: Contribution to journal › Article

Speaker Recognition

performance

Recurrent neural networks

Filter banks

evaluation