Getting MSCA IF project "MCAPEFA" at the University of Trento

Abstract

This seminar will describe all undertaken activities which resulted in receiving an EU H2020 grant for Marie Skłodowska-Curie Actions (MSCA) individual fellowship (IF). First, a brief overview of the MSCA IF program will be presented, followed by the application procedure. All aspects of the proposal named "Low-cost Multispectral CAmera for PrEcision Farming Application" (MCAPEFA) will be described in detail. The first submission of the MCAPEFA proposal was rejected in 2020 with a score of 79.3% and during the resubmission process, all weaknesses of the first proposal were improved which resulted in a score of 94.4% in 2021.

All these weak points of the first proposal will be described and how they have been improved will be explained in this seminar. In this way, the audience will have opportunities to find out the whole process of getting funds for MSCA IF, from the first idea to the final proposal which was approved. In the final part of the seminar, initial activities, current findings, and future steps of the MCAPEFA project will be shortly presented. 

About the speaker

Marko Barjaktarovic received his B.S, M.S. and Ph.D. degrees from School of Electrical Engineering, University of Belgrade in 2002, 2007 and 2012, respectively, where he is an associate professor. In the field of electrical engineering he has published 1 book and 36 scientific publications. His teaching and researching areas include sensors technology for measuring non-electrical quantities, real-time image processing especially for machine vision systems, medical image processing, neural networks for MRI image classification, physics, medical informatics.

He has participated in several national and one Horizon 2020 cascading project, and has cooperated with the industry in designing machine vision systems automotive, food, cardboard, packaging and brewery. His research also included developing procedures for: diagnosis degree of damage in the Hand-arm vibration disease; fusion visible image and scintigram for precise topographic localization of tumor; low-cost PIV (particle imaging velocimetry) experimental setup. Currently, he is an MSCA fellow in RSLab with research in the acquisition and analysis of multispectral images.

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