Javier Cardona Amengual

Phone01415482249
Emailj.cardona-amengualstrath.acuk

United Kingdom

Accepting PhD Students

PhD projects

1) Data-driven approaches for in-line monitoring of particle attributes in chemical and pharmaceutical manufacturing processes (<a href="https://bit.ly/2WQmK95">https://bit.ly/2WQmK95</a>) <br />

2) Hybrid data-driven and first principles models for crystal nucleation and growth (<a href="https://bit.ly/2YWAKRu">https://bit.ly/2YWAKRu</a>) <br />

3) Detecting and characterising airborne microplastics and asbestos fibres through Machine Learning (<a href="https://bit.ly/2Wo8Goo">https://bit.ly/2Wo8Goo</a>)

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12 Article
9 Poster
6 Abstract
2 Paper
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2021

CYBELE: A Hybrid Architecture of HPC and Big Data for AI Applications in Agriculture
Zhou, N., Zhong, L., Hoppe, D., Pejak, B., Marko, O., Cardona, J., Czerkawski, M., Andonovic, I., Michie, C., Tachtatzis, C., Alexakis, E., Mavrepis, P., Kyriazis, D. & Pospieszny, M., 17 Dec 2021, HPC, Big Data, AI Convergence Towards Exascale: Challenge and Vision. Terzo, O. & Martinovic, J. (eds.).
Research output: Chapter in Book/Report/Conference proceeding › Chapter

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Javier Cardona Amengual

Research output

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CYBELE: A Hybrid Architecture of HPC and Big Data for AI Applications in Agriculture