معرفی
Sona Taheri is a Lecturer in Statistics at RMIT University's School of Science. Her research focuses on nonsmooth optimization, machine learning, and their applications in data mining and operations research. She is actively involved in supervising research students and has contributed to multiple interdisciplinary projects, including flood relief planning and credit risk modeling. She holds memberships in IEEE and SIAM, and has served on conference committees such as DASC 2020 and ICCCN 2020.
Her research interests span nonsmooth optimization, nonconvex optimization, DC optimization, operations research, data mining, machine learning, and deep learning. She has developed novel algorithms for cluster analysis, regression problems, and optimization under uncertainty, with applications in healthcare, disaster management, and financial modeling.
Recent articles explore optimization techniques for machine learning, including DC programming methods for regression, robust clustering algorithms, and ensemble learning approaches to reduce misclassification costs in credit risk models. She has also contributed to disaster relief operations modeling and healthcare data analysis.
She has served as an editor for special issues on nonsmooth optimization and holds committee roles in conferences like C4W 2020. Her professional memberships include IEEE Computational Intelligence Society (CIS), SIAM, and Women in STEM networks.
