The Australian Shark-Incident Database (ASID) for quantifying temporal and spatial patterns of shark-human conflict in Australia
Combating Human wildlife conflict using AI/ML
R code to reproduce analyses predicting potential reduction in shark bites in Australia when wearing electronic deterrents
Geospatial analysis of Elephant movement
Developed a stable Negative Binomial (NB) Regression model for predictive analysis of over-dispersed bear incident counts. The model achieved an MAE of 2.39, revealing that dynamic weather and temporal factors are the dominant drivers of risk, informing future XGBoost/XAI work.
WildEye is an intelligent wildlife monitoring and conflict mitigation system designed to detect and track the presence of wild animals—such as tigers, leopards, elephants, and bears—using AI-powered video analysis. It aims to prevent human-wildlife conflicts by providing real-time alerts and actionable insights from surveillance footage
R code to analysis deterrent trials for devices used to reduce the incidence of white shark (Carcharodon carcharias) attacks
Human-wildlife conflict (HWC) vulnerability mapping at provincial scale using spatial modelling — identifying high-risk conflict zones to support evidence-based conservation planning and mitigation strategies in Jambi, Indonesia.
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