Dieuwertje Alblas - MIA
Francesco Acciani - MAST
Riccardo Bardin - MACS
Vincent Bosboom - MACS
Nicoló Botteghi - MIA
Xiaoyu Cheng - MACS
Lars Corbijn van Willenswaard - MACS
Sven Dummer - MIA
Sagy Ephrati - MMS
Arnout Franken - MMS
Elena Giamatteo - MACS
Abdul Halim - MACS
Lucas Jansen Klomp - MIA
Manu Kalia - MIA
Muhammad Hamza Khalid - MACS
Nishant Kumar - MACS
Kaifang Liu - MACS
Xiangyi Meng - MACS
Nida Mir - MIA / MDI-TNW
Kevin Redosado - MMS
Len Spek - MIA
Julian Suk - MIA
Alexander Wierzba - MAST
Fengna Yan - MACS
Weihao Yan - MIA
source: http://www.malinc.se/math/trigonometry/geocentrismen.php - Heeringa - MIA

Inverse problems, data assimilation and optimal transport on graphs

Inverse problems and imaging have many real-world applications, such as medicine or seismics. Established approaches for their solution are often either model-based or data-based. While model-based approaches are amenable to mathematical analysis, data-based approaches directly relate to the inverse problem at hand and become more useful with the availability of big data sets. This research combines the advantages of both approaches with the aim to develop more accurate, complete and efficient solvers for inverse problems. Particular topics of our research include nonlocal regularization, data assimilation, neural networks, and optimal transport on graphs

People working on this subject within SACS are:

Staff:

Post Doc / PhD