Good practices learnt as a young PI

PI Stories 2022
30 maggio 2022
Orario di inizio 
Piattaforma Zoom
Organizzato da: 
Scuola di Dottorato in Information Engineering and Computer Science (IECS)
Comunità universitaria
Online su prenotazione
Scadenza prenotazioni: 
30 maggio 2022, 11:00
dr. Alessandro Cimatti
Fabio Poiesi (FBK - Fondazione Bruno Kessler)


Winning your first research grant is difficult because you have to convince a reviewing committee that you are the best candidate, which can reliably deliver although you do not have prior PI experience.
In this talk I will go through a selection of successful and unsuccessful proposals I contributed to in topics related to Computer Vision and Pattern Recognition, and that I hope can provide useful insights to the audience for writing future proposals. By going through the reviewers' feedback I received on these proposals, we will analyse weaknesses that we should avoid and strengths that we could exploit to increase the chances of getting a proposal accepted. Lastly, I will present some of the research activities that I found helpful to prepare myself for the management of the project.

About the speaker

Fabio Poiesi is a Senior Researcher at Fondazione Bruno Kessler and Affiliated Researcher at Istituto Italiano di Tecnologia. He received his Ph.D. degree in Electronic Engineering and Computer Science from Queen Mary University of London (UK) in March 2014. He spent nearly three years as a Postdoctoral Research Assistant in Queen Mary University of London working under the European Projects Artemis COPCAMS.
Fabio participated in several European Projects, including H2020 REPLICATE, EIT UAV-Retina, H2020 MiMEX, and he is now Principal Investigator in JPI SHIELD. He is responsible for several industrial projects related to Machine Vision and Augmented Reality applications. He serves as Area Chair in IEEE ICPR and as Guest Editor in several peer-reviewed journals.
Fabio Poiesi conducts research and development activities in the contexts of multi-object detection and tracking, human behaviour understanding, 3D reconstruction and scene understanding, 6D pose estimation, robotic navigation, machine vision and extended reality.

Next story on 6 June at 10 amAdventures in geometric deep learning by Emanuele Rodolà, Università La Sapienza 

Pi Stories: A series of seminars aimed at providing the opportunity to the PhD students to learn the success stories of some of the most talented researchers in the world. Each speaker will present a research project he/she led as a principal investigator. The presentation will cover the scientific scope of the project and the most important results the project achieved. The speakers will also share their own experience of turning a research idea into a successful project winning a competitive grant.