Summary of Educational and Professional Background  

Dr. Nguyen Kieu Linh defended her Ph.D. thesis in Applied Mathematics at the University of Science, Vietnam National University, Hanoi, in 2019. That same year, she received a postdoctoral scholarship at the Institute of Computer Science of the Czech Academy of Sciences. In 2021, she continued her postdoctoral research at the Faculty of Information Technology, Ho Chi Minh City University of Technology, funded by the Vingroup Innovation Foundation (VINIF). Since 2018, she has been a lecturer at the Posts and Telecommunications Institute of Technology (PTIT). Her research interests include Computational Geometry, Optimization Theory, and Machine Learning. Specifically, she explores optimization methods in computational geometry with discrete data, such as convex hulls, orthogonal convex hulls, Delaunay triangulations, Voronoi diagrams, and shortest paths, and applies these structures to Machine Learning problems like classification, clustering, image processing, pattern recognition, and anomaly detection. Recently, she has focused on applying these geometric structures to AI algorithms or models to solve practical problems. For example, using the convex hull structure in the Convex Feature Adjustment (CFA) method to detect directed and dense objects, and using orthogonal convex hulls to identify cracks in concrete surfaces, highways, and high-rise buildings.

Lastest information

In 2024, Dr. Linh received a scholarship for outstanding young scientists from the International Center for Mathematical Research and Training, Institute of Mathematics. Additionally, in early 2024, one of her papers was accepted for publication in the journal Applied Mathematics and Computation 481 (2024) 12893 (SCI-E, Q1).