About

Dr Mohammad Dehghan-Shoar is a Senior Data Scientist specialising in AI-driven geospatial analytics, environmental intelligence, and large-scale modelling. He develops AI-powered solutions for biosecurity, environmental monitoring, and public health, leveraging Generative AI, Digital Twins, Geospatial Data Science, and predictive modelling to drive actionable insights. With experience spanning government, research, and industry across New Zealand, Australia, and Europe, he applies AI and data analytics to enhance disaster resilience, environmental health, pollution management, agricultural productivity, and biosecurity. His work has contributed to global sustainability efforts, shaping data-driven decision-making across sectors. His previous roles include leading AI-driven remote sensing initiatives for precision agriculture, environmental monitoring, and satellite-based intelligence, as well as developing deep learning models for biosecurity analytics, land classification, and environmental prediction. He has also applied AI and machine learning to predict crop yields, assess fruit quality, and detect plant diseases, advancing precision agriculture and environmental intelligence. His research has further supported global food security initiatives, influencing decision-making across regions. Dr. Dehghan-Shoar holds a Ph.D. in Earth Science (AI and Remote Sensing), an M.Sc. in Computer Science, and a B.Sc. in Information Science. An active researcher and peer reviewer, he has published extensively on AI applications in environmental intelligence, public health, and predictive analytics. Passionate about AI-driven discovery and innovation, he collaborates with government agencies, research institutions, and industry leaders to develop cutting-edge solutions that drive scientific advancement, industry transformation, and global sustainability.

Publications