Scholar
Mario Valerio Giuffrida
Google Scholar ID: V5XEPuQAAAAJ
University of Nottingham
Citations & Impact
Citations
1,427
H-index
16
i10-index
23
Publications
20
Co-authors
7
list available
Contact
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Published several papers on machine learning and plant phenotyping. Part of the PhenomUK-RI project led by Tony Pridmore.
Research Experience
- Participated in the enrichment program of The Alan Turing Institute. Lead developer of the Phenotiki Analysis Software, which combines computer vision and machine learning algorithms to analyze rosette plants.
Education
- Obtained a Ph.D. from IMT School For Advanced Studies Lucca, supervised by Prof Sotirios A Tsaftaris, based at the University of Edinburgh.
Background
- Assistant Professor in Computer Vision at the University of Nottingham. Research interests include machine learning and plant phenotyping, particularly neural networks and Restricted Boltzmann Machines (RBMs).
Miscellany
- Excellent programmer with knowledge in several programming languages. Participated in different scientific summer schools such as the International Computer Vision Summer School (ICVSS) and the Medical Imaging Summer School (MISS), which have been great motivations towards his scientific career.
