Tayab Din Memon

Emailtayabdin.memontorrens.eduau

Accepting PhD Students

PhD projects

Using Artificial Intelligence development of Condition Monitoring Systems by fault detection and identification in a typical application domain for sustainable infrastructure solutions. Using signal processing to develop high-performance computing algorithms for better wireless communication and its hardware synthesis on SoC/FPGA.
Artificial intelligence for learners' engagement, progression, early intervention, and retention; Education Technology and philosophy.

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Research activity per year

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26 Article
17 Conference contribution
1 Paper
1 Conference article
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- 1 Review article

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2021
The Importance of Feature Processing in Deep-Learning-Based Condition Monitoring of Motors
Soother, D. K., Daudpoto, J., Harris, N. R., Hussain, M., Mehran, S., Kalwar, I. H., Hussain, T. & Memon, T. D., 2021, In: Mathematical Problems in Engineering. 2021, 9927151.
Research output: Contribution to journal › Review article › peer-review

Open Access
9 Citations (Scopus)

Tayab Din Memon

Research output

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The Importance of Feature Processing in Deep-Learning-Based Condition Monitoring of Motors