Yiqiu Dong

Yiqiu Dong is an Associate Professor in the Department of Applied Mathematics and Computer Science at the Technical University of Denmark (DTU), where they have been employed since 2010. Currently, they are working on the ERC-project "High-Definition Tomography" and teach courses including Optimization and Data Fitting, Computational Science in Imaging, and Discrete Inverse Problems.

Dr. Dong received their Ph.D. in Computational Mathematics from Peking University in 2007 through a joint program with The Chinese University of Hong Kong. Their academic journey includes postdoctoral research at Karl-Franzens University of Graz in Austria and a scientific researcher position at Helmholtz Zentrum Muenchen in Germany.

Dr. Dong's research focuses on mathematical imaging, inverse problems, and variational methods. Their work spans multiple areas including image restoration, tomographic reconstruction, and optimization methods for solving complex imaging problems. They have developed innovative approaches for handling various types of image noise including multiplicative noise, impulse noise, and Cauchy noise.

Analysis of Dr. Dong's publication record reveals a strong focus on image restoration techniques using variational methods and total variation regularization. Their work demonstrates progression from basic noise removal techniques to more sophisticated multi-scale and vectorial approaches for color image processing. Recent publications show increasing focus on tomographic reconstruction and medical imaging applications.

Dr. Dong has collaborated extensively with researchers across Europe and Asia, including institutions such as Helmholtz Zentrum Muenchen, Karl-Franzens University of Graz, The Chinese University of Hong Kong, and Peking University. Their work on the ERC-project "High-Definition Tomography" represents a significant research initiative in their field.

Teaching responsibilities include advanced courses in optimization, computational imaging, and inverse problems, reflecting their expertise in mathematical methods for image processing and analysis.