Nur Alam
Nur is a PhD student within the Faculty of Science, Medicine and Health at the University of Wollongong (UOW), supervised by Dr Johan Barthelemy. His research focuses on developing a small-scale digital twin of Antarctic moss beds to bridge the gap between ecological observation and prediction. Nur’s work integrates high-resolution 3D reconstruction (using Structure-from-Motion) and continuous IoT microclimate sensing with Physics-Informed Neural Networks (PINNs). By embedding water and energy balance constraints into deep learning models, his project will simulate “what-if” climate scenarios and forecast vegetation stress. Within SAEF, he serves as a mentee building data-driven frameworks to safeguard fragile polar biodiversity.


Nur Alam
PhD Student
University of Wollongong
Nur is a PhD student within the Faculty of Science, Medicine and Health at the University of Wollongong (UOW), supervised by Dr Johan Barthelemy. His research focuses on developing a small-scale digital twin of Antarctic moss beds to bridge the gap between ecological observation and prediction. Nur’s work integrates high-resolution 3D reconstruction (using Structure-from-Motion) and continuous IoT microclimate sensing with Physics-Informed Neural Networks (PINNs). By embedding water and energy balance constraints into deep learning models, his project will simulate “what-if” climate scenarios and forecast vegetation stress. Within SAEF, he serves as a mentee building data-driven frameworks to safeguard fragile polar biodiversity.
