Valerio Giuffrida, PhD

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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 of May.

By Valerio Giuffrida, 5 days5 days ago
Project

PhenomUK Research Infrastructure

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 (Feb 2023) and will run Read more…

By Valerio Giuffrida, 4 weeks4 weeks ago
Opportunity

Studentships in Faculty of Science AI Doctoral Training Centre

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 for more information about the Read more…

By Valerio Giuffrida, 1 month1 month ago
Opportunity

[Expired] Fully-funded PhD scholarship [UK applicants]

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 and finding the best-adapted crop Read more…

By Valerio Giuffrida, 9 months4 months ago
Uncategorised

AI for Plant Image Analysis: where we are and what’s next? Full-Day Workshop

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 to participate) here: https://www.phenomuk.net/event/ai-for-plant-image-analysis-where-we-are-and-whats-next-full-day-workshop/

By Valerio Giuffrida, 1 year1 year ago
Opportunity

[EXPIRED] Fully Funded PhD Scholarship

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 real-world applications, especially in situations Read more…

By Valerio Giuffrida, 1 year1 year ago
Opportunity

Research Topic “Synthetic Data for Computer Vision in Agriculture”

I am pleased to communicate that the research topic (special issue) “Synthetic Data for Computer Vision in Agriculture” is now open for submission. This research topic is in the Frontiers in Plant Science journal (Impact Factor 5.7). More information is Read more…

By Valerio Giuffrida, 1 year1 year ago
Uncategorised

New Website Now Online!

It took a while, but I finally managed to complete my new website. It contains the same information of the previous one, but presented in a better template. I have updated all the news and whatnots. I am happy that Read more…

By Valerio Giuffrida, 1 year1 year ago
Opportunity

Research Topic “Computer Vision in Plant Phenotyping and Agriculture” in Frontiers in Plant Science

Plant phenotyping is the identification of effects on plant structure and function (the phenotype) resulting from genotypic differences (i.e., differences in the genetic code) and the environmental conditions a plant has been exposed to. Knowledge of plant phenotypes is a Read more…

By Valerio Giuffrida, 2 years4 months ago
Conference & Meeting

CVPPA 2021 Workshop at ICCV 2021

This workshop plans to showcase the challenges raised by working on computer vision for plant phenotyping and agriculture. Workshop goals include demonstrating the state-of-the-art, identifying key unsolved problems, and introducing computer scientists with an interest in plant phenotyping to the Read more…

By Valerio Giuffrida, 2 years1 year ago

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Recent Posts
  • Change of Institution
  • PhenomUK Research Infrastructure
  • Studentships in Faculty of Science AI Doctoral Training Centre
  • [Expired] Fully-funded PhD scholarship [UK applicants]
  • AI for Plant Image Analysis: where we are and what’s next? Full-Day Workshop
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