Prof. Dr. Bangti Jin

Profile

Academic positionFull Professor
Research fieldsNumerical Analysis, Optimization, Simulation
Keywordssparsity constraint, uncertainty quantification, spectral stochastic approach, Bayesian inference approach, stochastic inverse problems

Current contact address

CountryPeople's Republic of China
CityHong Kong
InstitutionChinese University of Hong Kong (CUHK)
InstituteDepartment of Mathematics

Host during sponsorship

Prof. Dr. Peter MaaßZentrum für Technomathematik (ZeTeM), Universität Bremen, Bremen
Start of initial sponsorship01/01/2009

Programme(s)

2008Humboldt Research Fellowship Programme for Postdocs

Publications (partial selection)

2011Bangti Jin, Taufiquar Khan, Peter Maass: A reconstruction algorithm for electrical impedance tomography based on sparsity regularization. In: International Journal for Numerical Methods in Engineering, 2011,
2011Kazufumi Ito, Bangti Jin, Tomoya Takeuchi: A regularization parameter for Tikhonov regularization. In: SIAM Journal on Scientific Computing, 2011, 1415-1438
2011Bangti Jin, Taufiquar Khan, Peter Maass, Michael Pidcock: Function spaces and optimal currents in impedance tomography. In: Journal of Inverse and Ill-Posed Problems, 2011, 25-48
2011Kazufumi Ito, Bangti Jin, Tomoya Takeuchi: Multi-parameter Tikhonov regularization. In: Methods and Applications of Analysis, 2011, 31-46
2011Matthias Gehre, Tobias Kluth, Antti Lipponen, Bangti Jin, Aku Seppanen, Jari Kaipio, Peter Maass: Sparsity reconstruction in electrical impedance tomography: an experimental evaluation. In: Journal of Computational and Applied Mathematics, 2011,
2010Christian Clason, Bangti Jin, Karl Kunisch: A semismooth Newton method for L1 data fitting with automatic choice of regularization parameters and noise calibration. In: SIAM Journal on Imaging Sciences, 2010, 199-231
2010Bangti Jin, Dirk A Lorenz: Heuristic parameter-choice rules for convex variational regularization based on error estimates. In: SIAM Journal on Numerical Analysis, 2010, 1208-1229
2010Bangti Jin, Jun Zou: Hierarchical Bayesian inference for Ill-posed problems via variational method. In: Journal of Computational Physics, 2010, 7317-7343
2010Christian Clason, Bangti Jin, Karl Kunisch: a duality-based splitting method for l1-TV image restoration with automatic regularization parameter choice, . In: SIAM Journal on Scientific Computing, 2010, 1484-1505
2009Bangti Jin, Dirk A Lorenz, Stefan Schiffler: Elastic-net regularization: error estimates and active set methods. In: Inverse Problems, 2009, 115022-115022