Dr Arnick Abdollahi is a research scientist in the field of Earth and Space Science Informatics, Artificial Intelligence (AI), and Environmental Science. He completed his Ph.D. at the School of Civil and Environmental Engineering, University of Technology Sydney (UTS). Embarking on a journey through the frontiers of Artificial Intelligence (AI), his Ph.D. endeavor centered on its applications within Earth observation and Remote Sensing. Arnick’s research encompassed developing conventional machine learning and deep learning models including CNNs, Deep CNNs, and Generative AI to effectively process various remote sensing products, track vegetation changes, update GIS maps, and analyze dynamic landscapes over time. Additionally, he delved into the realm of Responsible AI (RAI) to guarantee transparency and nurture trust and understanding in AI models.

Arnick holds the position of postdoctoral research fellow at the Bushfire Research Centre of Excellence, Australian National University (ANU). In this capacity, he is actively engaged as a project manager in the Bushfire Data Challenges program, which is part of the Australian Research Data Common (ARDC’s) Translational Research Data Challenges initiative. The Bushfire project develops innovative digital infrastructure solutions to current data challenges in bushfire research with the aim of improving Australia’s bushfire resilience, response, and recovery. In collaboration with a list of partners such as TERN, CSIRO, AFAC, and ARDC who are actively involved in the project, the aim is to create aggregated and harmonized datasets for bushfire fuel attributes known to influence the fire behavior processes on a national scale (Australia) using Earth observation techniques and Artificial Intelligence (AI). The project also involves an examination of the spatial distribution of fuels within diverse vegetation and fuel types and an investigation of their response to climate change and bushfire disturbance.

Arnick has demonstrated remarkable accomplishments, with a prolific record of publishing numerous scientific papers in esteemed international journals. He also serves as a regular reviewer and academic editor for top-tier journals in his field. Furthermore, he has successfully obtained several competitive grants, awards, paid internships, and scholarships, underscoring the excellence and significance of his research contributions. Throughout his academic journey, he has collaborated with world-renowned experts and worked on interdisciplinary projects. This collaboration has significantly contributed to his knowledge, expertise, and experience in the field.

He has taught undergraduate and graduate courses, such as "Environmental Sensing, Mapping and Modelling", "Risk Assessment and Management", and "Introduction to Information Systems". Additionally, he supervises the research of honours and graduate students in a range of remote sensing and AI topics.

PhD

• Artificial Intelligence
• Responsible AI
• Earth Observation 
• Environmental Monitoring
• Bushfire
• Remote Sensing
• Time-series Image Analysis
• Change Detection
• Risk Modelling and Reduction
• Natural Hazards
• GIS Maps Updating
• Vegetation Dynamics
• Land Cover Analysis
• Advanced Machine Learning
• Fuel Attributes Dynamics and Spatial Mapping