Leeanne Lindsay

Leeanne Lindsay serves as a Research Associate at the School of Computing, Engineering and Intelligent Systems. Her work intersects Artificial Intelligence, Robotics, and Healthcare domains, with a focus on neuromorphic computing, explainable AI, and financial modeling applications.

• Active in UN Sustainable Development Goals related to mental health and preventative measures

Research Trends: Lindsay's publications emphasize neuromorphic computing (2024), robot control (2023), stock market forecasting (2023), and falls prediction for elderly populations (2020). Her work combines Machine Learning with interdisciplinary applications in healthcare and finance.

Scientific Awards:

• Best Paper Award (2019)