Amir Aslan Fila
- HDR Student
- University of Melbourne
- afila@student.unimelb.edu.au
Thesis Topic
Investigating advanced methods for point cloud segmentation and processing to support near-real-time infrastructure and asset modelling, management, maintenance, and resilience.
About
With over 12 years of experience in geospatial analysis, AI-enabled models, and data science, Amir has consistently demonstrated a strong aptitude for developing innovative solutions and delivering impactful projects. His work spans advanced spatial analytics, project management, and leadership, leveraging tools such as ESRI products, OGC stack, Python and R programming languages, machine learning techniques, and advanced SQL. Additionally, his strong background in mathematics underpins his analytical capabilities, ensuring precise and effective data interpretation and modelling. He has successfully collaborated with diverse teams across various sectors, from consultancy to all tiers of governments, driving strategic decisions and fostering research collaboration to support decision making in projects such as national climate risk assessments, road safety evaluations, socio-economic impact assessments, vegetation coverage change across areas, and other critical initiatives.
Supervisor
Associate Professor Jagannath Aryal