Kedir Ahmed

Dr Kedir Ahmed is a Research Fellow in Epidemiology at the Rural Health Research Institute, Charles Sturt University, Australia. His work integrates clinical epidemiology with advanced data science to address rural health disparities, particularly in chronic disease prevention and management across Australian and Ethiopian contexts.

His academic credentials include:

• Bachelor of Science in Public Health, Arba Minch University (2010)
• Master of Public Health, University of Gondar (2013)
• PhD in Epidemiology, Western Sydney University (2022)
• Master of Health Data Science (expected 2025)

Dr Ahmed specializes in causal inference methodologies applied to modifiable risk factors for cardiovascular disease, type 2 diabetes, and obesity. His research combines machine learning with spatial analysis to identify dietary and lifestyle determinants of population health, with significant focus on Northwest Ethiopia and rural Australia. He employs ecosystem approaches to examine environmental impacts on child health outcomes and digital interventions for cardiovascular risk reduction.

His 2024-2025 publication surge reveals strong interdisciplinary trends, merging epidemiology with AI-driven health technology, environmental health, and systematic review methodologies. These works consistently address UN Sustainable Development Goals through chronic disease prevention and health equity research.

His scientific recognition includes:

• Vice-Chancellor's 2024 Research Excellence Award for Early Career Researcher (Faculty Commendation)

As a Registered Supervisor, Dr Ahmed mentors graduate students in epidemiological methods and health data science. His collaborative network spans Australian rural health services, Ethiopian universities, and global research consortia focused on schistosomiasis elimination and molecular diagnostics. Current projects include AI-driven diagnostic tools and community-based interventions for diabetes management in regional New South Wales.

The Rural Health Research Institute provides his primary research ecosystem, connecting clinical practice with population-level data analysis through teams specializing in molecular diagnostics, AI health technology, and First Nations health initiatives.