Dr. Vasileios Moysiadis

Machine Learning Engineer with a PhD in Human-Robot Collaboration

Dr. Vasileios Moysiadis is a Machine Learning Engineer with a PhD in Human-Robot Collaboration and more than nine years of experience developing intelligent systems that combine artificial intelligence, machine perception, and advanced software engineering. His expertise spans computer vision, perception, machine learning, autonomous systems, and human-centered AI, with experience delivering solutions across research, industrial, and production settings. He has worked on the design and deployment of intelligent systems for environmental monitoring, industrial automation, autonomous platforms, and human-machine interaction. In addition to AI and perception, he has extensive experience in software and backend engineering, contributing to the development of scalable digital platforms, distributed systems, and data-driven applications. His work covers the full lifecycle of intelligent systems, from research and prototyping to deployment and operational support. Throughout his career, he has participated in numerous European and national research and innovation projects, contributing both technical leadership and system design expertise. He has also co-authored multiple scientific publications in the fields of artificial intelligence, perception, autonomous systems, and human-centered technologies.

Project Coordination:

Dr. Ewen Mullins

Head of Crop Science Department at Teagasc and VALPRO Path Project Coordinator

Oak Park, Carlow R93 XE12, Ireland

ewen.mullins@teagasc.ie

Project Communication:

Prof dr Mladen Radisic

CEO Foodscale Hub

LEONTOS SOFOU 20, THERMI
THESSALONIKIS, 57001, Greece

mladen@foodscalehub.com

 

This project has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement No. 101059824.