Luca Zelioli
luca.l.zelioli@utu.fi Currently working remotely |
Areas of expertise
deep learning, artificial intelligence, soil type prediction, software engineering
deep learning, artificial intelligence, soil type prediction, software engineering
Biography
Luca Zelioli received B.S. degree from the Turku University of Applied Sciences (2018) and M.S. degree from the Åbo Akademi (2020). He is currently working as Doctoral Candidate / Doctoral Student in Department of Computing, University of Turku since January 2022. Previously he was working as a Project Researcher in the same department since April 2021. His M.S. thesis topic was “Environmental damage assessment based on satellite imagery using machine learning”.
Research
His main research interests include Sensor Fusion, Artificial Intelligence and Software Engineering.
Teaching
Teacher assistant in Deep Learning course
Publications
- ABOships-An Inshore and Offshore Maritime Vessel Detection Dataset with Precise Annotations (2021) Iancu B, Soloviev V, Zelioli L, Lilius J
(Refereed journal article or data article (A1)) - Transfer Learning for Maritime Vessel Detection using Deep Neural Networks (2021)
- Proceedings of the IEEE international conference on intelligent transportation systems
(Refereed article in conference proceedings (A4)) - COMPARING CNN-BASED OBJECT DETECTORS ON TWO NOVEL MARITIME DATASETS (2020)
- IEEE International Conference on Multimedia and Expo Workshops
(Refereed journal article or data article (A1)) - Environmental damage assessment based on satellite imagery using machine
learning (2020) Zelioli Luca
(Master’s thesis, polytechnic Master’s thesis (G2))
UTU Research Portal