Nik Fadzly N Rosely, Associate Professor

Dr. Nik Fadzly's research interests lie at the intersection of ecology and technology, focusing on plant-animal interactions, artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT). His work includes AI-driven animal tracking, satellite telemetry, sensor-based ecological monitoring, and conservation technology. He is particularly interested in integrating microcontrollers, drones, and computer vision.

Research focus
Plant-Animal Interaction, Artificial Intelligence, IOT and Sensors

Selected publications

1. Fadzly, N., Kean, L. W., Prijono, S. N., Rachmatika, R., Zulaika, S., Nasir, M., & Salim, H. (2025). A deep learning framework for bone fragment classification in owl pellets using YOLOv12. Scientific Reports, 15(1), 29637.
2. Fadzly, N., Jack, C., Schaefer, H. M., & Burns, K. C. (2009). Ontogenetic colour changes in an insular tree species: signalling to extinct browsing birds?. New Phytologist, 184(2), 495-501.
3. Abd Mutalib, A. H., Fadzly, N., & Foo, R. (2013). Striking a balance between tradition and conservation: General perceptions and awareness level of local citizens regarding turtle conservation efforts based on age factors and gender. Ocean & coastal management, 78, 56-63.
4. Wong, J. J. N., & Fadzly, N. (2022). Development of species recognition models using Google Teachable Machine on shorebirds and waterbirds. Journal of Taibah University for Science, 16(1), 1096-1111.
5. Hornain, I. M., & Rosely, N. F. N. (2025). Efficacy of Several Types of Pest Bird Deterrents and General Trend of Pest Birds at an Industrial Factory. Tropical Life Sciences Research, 36(1), 111.