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Change of Institution
I have been a bit reluctant to make it public till now. I am happy to say that I will be joining the School of Computer Science – The University of Nottingham starting from 1st Read more…
My name is Valerio Giuffrida (vaˈlɛrio dʒuf’frida) and I am a Lecturer in Data Science at Edinburgh Napier University. I obtained my Ph.D. from IMT School For Advanced Studies Lucca (supervisor Prof Sotirios A Tsaftaris) based at the University of Edinburgh. I have published several papers on machine learning and plant phenotyping. Specifically, my first work presented a learning algorithm to count leaves in rosette plants. Then, I matured my research interests on neural networks, particularly on Restricted Boltzmann Machines (RBMs). In the 2016, I participate at the enrichment program of The Alan Turing Institute. Besides my scientific skills, I am an excellent programmer, boasting knowledge in several programming languages. In fact, I am the lead developer of the Phenotiki Analysis Software, which bundles computer vision and machine learning algorithms to analyse rosette plants. During my master, I had the possibility to participate at different scientific summer schools, such as the International Computer Vision Summer School (ICVSS) and the Medical Imaging Summer School (MISS), which have been of great motivations towards my scientific career.
I have been a bit reluctant to make it public till now. I am happy to say that I will be joining the School of Computer Science – The University of Nottingham starting from 1st Read more…
Now I can say this publicly. I am very excited to inform you that I am part of the project PhenomUK-RI led by Tony Pridmore (The University of Nottingham). The project officially started this month Read more…
We are looking for one enthusiastic PhD student to work on a cross-disciplinary project within the AI Doctoral Training Centre at the University of Nottingham (UK). This call is for home applicants only. Click here Read more…
Image-based plant analysis for sustainable agriculture Image-based plant phenotyping allows the quantification of traits (e.g. leaf area, number, colour) reflecting plant performance non-destructively. This approach helps in deciphering the complex genetic-environment interactions influencing its performance Read more…
I am organising this PhenomUK funded workshop – date 9th March 2022. This is going to be an in-person full-day event held within the Edinburgh Zoo. Participation in the workshop is free.More information (and how Read more…
I am looking for a PhD student for the 3-year project entitled “Semi-Supervised, Unsupervised, and Self-Supervised Transfer Learning for Computer Vision”. Transfer learning has been demonstrated to improve the generalisation of deep neural networks to Read more…
Room C43
Merchiston Campus
10 Colinton Road
Edinburgh (UK)
EH10 5DT
Email: v (dot) giuffrida (at) napier (dot) ac (dot) uk
Tel: +44 (0) 131 455 2744