Luca Zelioli
 PhD


luca.l.zelioli@utu.fi




ORCID identifierhttps://orcid.org/0000-0003-3680-5874





Areas of expertise
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). His M.S. thesis topic was “Environmental damage assessment based on satellite imagery using machine learning”.

He has been working as a Doctoral Candidate / Researcher in the Department of Computing, University of Turku since April 2021. In September 2024 he has been awarded the degree of Doctor of Philosophy in the Field of Natural Sciences. The degree was completed in Computer Science. He has written a doctoral dissertation: "Leveraging machine learning for maritime object detection and peatland classification: harnessing the power of machine learning for precise maritime object detection and peatland classification".

Luca continues to work in the Department of Computing as a Senior Researcher.



Research

His main research interests include Sensor Fusion, Artificial Intelligence and Software Engineering.



Teaching

Teacher assistant in Deep Learning course



Publications

  •   (2025)  
    • Multimedia Tools and Applications
     Jafarzadeh, Pouya; Zelioli, Luca; Virjonen, Petra; Farahnakian, Fahimeh; Nevalainen, Paavo; Heikkonen, Jukka
    (
    A1 Refereed original research article in a scientific journal)


  •   (2024)  
    • Ore Geology Reviews
     Farahnakian, Fahimeh; Sheikh, Javad; Zelioli, Luca; Nidhi, Dipak; Seppä, Iiro; Ilo, Rami; Nevalainen, Paavo; Heikkonen, Jukka
    (
    A2 Refereed review article in a scientific journal )


  • Enhancing Peatland Classification using Sentinel-1 and Sentinel-2 Fusion with Encoder-Decoder Architecture  (2024)  2024 27th International Conference on Information Fusion (FUSION) Zelioli, Luca; Farahnakian, Fahimeh; Farahnakian, Farshad; Middleton, Maarit; Heikkonen, Jukka
    (
    A4 Refereed article in a conference publication )


  • 2024 Zelioli, Luca
    (
    G5 Article dissertation )


  •   (2024)  
    • Lecture Notes in Computer Science
    Pattern Recognition: 27th International Conference, ICPR 2024, Kolkata, India, December 1–5, 2024, Proceedings, Part XXVI Sheikh, Javad; Farahnakian, Farshad; Farahnakian, Fahimeh; Zelioli, Luca; Heikkonen, Jukka
    (
    A4 Refereed article in a conference publication )


  •   (2023)  2023 IEEE International Symposium on Robotic and Sensors Environments (ROSE) Farahnakian Fahimeh, Zelioli Luca, Middleton Maarit, Seppä Iiro, Pitkänen Timo P., Heikkonen Jukka
    (
    A4 Refereed article in a conference publication )


  • Enhancing Minerals Prospects Mapping with Machine Learning: Addressing Imbalanced Geophysical Datasets and Data Visualization Approaches  (2023)  
    • Proceedings of Conference of Open Innovations Association FRUCT
    Proceedings of the 34th Conference of Open Innovations Association FRUCT Nidhi Dipak Kumar, Seppä Iiro, Farahnakian Fahimeh, Zelioli Luca, Heikkonen Jukka, Kanth Rajeev
    (
    A4 Refereed article in a conference publication )


  • Multistream Convolutional Neural Network Fusion for Pixel-wise Classification of Peatland  (2023)  2023 26th International Conference on Information Fusion (FUSION) Farahnakian Fahimeh, Zelioli Luca, Pitkänen Timo, Pohjankukka Jonne, Middleton Maarit, Tuominen Sakari, Nevalainen Paavo, Heikkonen Jukka
    (
    A4 Refereed article in a conference publication )


  • Real-Time Military Tank Detection Using YOLOv5 Implemented on Raspberry Pi  (2023)  2023 the 4th International Conference on Artificial Intelligence, Robotics and Control (AIRC 2023) Jafarzadeh Pouya, Zelioli Luca, Farahnakian Fahimeh, Nevalainen Paavo, Heikkonen Jukka, Hemminki Petteri, Andersson Christian
    (
    A4 Refereed article in a conference publication )


  • ABOships-An Inshore and Offshore Maritime Vessel Detection Dataset with Precise Annotations  (2021)  
    • Remote Sensing
     Iancu Bogdan, Soloviev Valentin, Zelioli Luca, Lilius Johan
    (
    A1 Refereed original research article in a scientific journal)


  • Transfer Learning for Maritime Vessel Detection using Deep Neural Networks  (2021)  
    • Proceedings of the IEEE international conference on intelligent transportation systems
    2021 IEEE International Intelligent Transportation Systems Conference (ITSC) Farahnakian Fahimeh, Zelioli Luca, Heikkonen Jukka
    (
    A4 Refereed article in a conference publication )


  •   (2020)  
    • IEEE International Conference on Multimedia and Expo Workshops
     Soloviev V, Farahnakian F, Zelioli L, Iancu B, Lilius J, Heikkonen J
    (
    A1 Refereed original research article in a scientific journal)


  • Environmental damage assessment based on satellite imagery using machine
    learning
      (2020)   Zelioli Luca
    (
    G2 Master’s thesis, polytechnic Master’s thesis)



Last updated on 2025-10-02 at 14:01