Jagannath Aryal
- Chief Investigator
- University of Melbourne
- jagannath.aryal@unimelb.edu.au
Current positions held
Associate Professor, Infrastructure Engineering, University of Melbourne
About
Jagannath Aryal received his PhD degree in Optimisation and Systems Modelling. He is currently an Associate Professor in the Department of Infrastructure Engineering at The University of Melbourne.
He leads a research group on Earth Observation and intelligent solutions to societal problems.
His research focuses on optimal utilisation of Earth Observation, geo-information, and geo-statistics to develop new methods in object recognition and geospatial situational awareness in disaster and emergency situations. Objects of interest derived from sensing technology (Ground / Satellite based) are applied in modelling and mapping various systems taking sustainability and resilience into account.
His contributions on digital infrastructure engineering solutions are the results of his working experience from high impact international educational institutions and professional bodies. His research collaboration on Earth Observation, geospatial engineering, and spatial analysis extend to the prominent UK/European universities (including the University of Cambridge; CNRS, France; University of Salzburg; University of Twente). He currently serves to the global remote sensing community as an Associate Editor of IEEE Transactions on Geoscience and Remote Sensing (TGRS) journal, an editor of the Journal of Spatial Science (Taylor & Francis), and Remote Sensing (MDPI), and reviews the scientific journals for IEEE, Springer, and Elsevier.
He leads the Remote Sensing and Photogrammetry Commission of SSSI, Australia as a national chair. He is the course coordinator of the Master of Digital Infrastructure Engineering and Graduate Certificate Degrees.
With the utilisation of Earth Observation, imaging technologies and AI, his focus in this research theme will be on establishing Digital thread, managing digital twin for various applications, and developing near real time decision support systems.