Dejan Pavlović

Position:Research trainee

Academic Rank: Research trainee in the field of technical/technological sciences -electronics, telecommunications and Information Technologies

Google Scholar

Dejan Pavlović is a researcher at BioSense Institute and a PhD student of System Control and Signal Processing at School of Electrical Engineering, University of Belgrade. His research interests cover signal processing and machine learning application, particularly focused on the field of precision agriculture. Dejan received his bachelor’s degree in Biomedical Engineering from the Faculty of Technical Sciences, University of Novi Sad and master’s degree in Electrical and Computer Engineering from School of Electrical Engineering, University of Belgrade. He is currently working in the field of data analytics developing an algorithm for the classification of multiple-behaviour patterns in cattle using Convolutional Neural Networks. He is actively involved in many projects, including Horizon 2020 projects, Antares and Dragon.

Center:

CIT

Themes:

1. Machine Learning

2. Deep Learning

3. Big Data Analytics

4. Knowledge discovery

5. Government

Projects:

1. DRAGON -Data Driven Precision Agriculture Services and Skill Acquisition

2. CYBELE-FOSTERING PRECISION AGRICULTURE AND LIVESTOCK FARMING THROUGH SECURE ACCESS TO LARGE-SCALE HPC-ENABLED VIRTUAL INDUSTRIAL EXPERIMENTATION ENVIRONMENT EMPOWERING SCALABLE BIG DATA ANALYTICS

3. KATANA – Emerging industries as key enablers for the adoption of advanced technologies in the agrifood sector

4. DIATOMIC- Digital Innovation Hubs boosting European Microelectronics Industry

5. FLEXIGROBOTS-Flexible robots for intelligent automation of precision agriculture operations

6. AgroSense APV

7. Detection of burning crop residues after the completion of the cycle of agricultural production on state-owned agricultural land in the territory of the Republic of Serbia

8. Detection of usurped state-owned agricultural land and detection of burning of crop residues on the territory of APV

Publications:

Pavlovic, D., Tachtatzis, C., Hamilton, A., Marko, O., Atkinson, R., Davison, C., Michie, C., Crnojevic, V., & Andonovic, I. (2020). Classification of cattle behaviour using convolutional neural networks. In European Federation of Animal Science (EAAP) Annual Meeting.
Marko, O., Pavlović, D., Crnojević, V., & Deb, K. (2019, July). Optimisation of crop configuration using NSGA-III with categorical genetic operators. In Proceedings of the Genetic and Evolutionary Computation Conference Companion (pp. 223-224).
Marko, O., Pavlović, D., Crnojević, V., & Deb, K. (2019, July). Decision-Support System for Optimisation of Crop Configuration based on Artificial Intelligence. In Proceedings of the European Federation for Information Technology in Agriculture, Food and the Environment.