Anna Chlingaryan

Anna Chlingaryan is a Research Fellow at the University of Sydney, affiliated with the Rio Tinto Centre for Mine Automation and the Australian Centre for Field Robotics. She holds a PhD in applied mathematics and has worked at the University of Sydney for 13 years, contributing to the Faculty of Engineering and later transitioning to the Faculty of Science in 2021. Her current role involves advancing data-driven solutions for livestock production, feed optimization, and mitigating climate change impacts on agriculture.

Her research interests span machine learning, mathematical modelling, and algorithmic problem-solving for real-world applications, particularly in agriculture and mining automation. She is a member of the Sydney Institute of Agriculture and the Livestock Production and Welfare Group within the Faculty of Science.

Her recent publications focus on geostatistical methods, hyperspectral data analysis, and Bayesian approaches to geological boundary modelling. While no scientific awards are explicitly noted, her work demonstrates significant contributions to interdisciplinary applications of AI and mathematical techniques.

Anna advises on research projects within her teams but no current students are listed. Her affiliations include collaborations with industry partners like Rio Tinto and academic centers focused on robotics and environmental science.