FLORIAN, BOSSMANN - 哈尔滨工业大学

个人简介

Scientific Background 07/2018 - now: Associate Professor, Harbin Institute of Technology 04/2018 - 06/2018: Scientist, Helmholtz Center for Environmental Health, Munich 04/2017 - 06/2018: Scientist, Fraunhofer Institute for Integrated Circuits IIS, Passau 09/2016 - 03/2017: Associate Researcher, University of Passau 07/2010 - 07/2016: Associate Researcher, University of Goettingen 01/2010 - 06/2010: Associate Researcher, University of Duisburg-Essen Education 01/2010 - 10/2013: PhD Student (Mathematics), University of Goettingen 10/2005 - 12/2009: Diploma Student (Mathematics), University of Duisburg-Essen

研究领域

I am currently working as Associate Professor at the College of Mathematics, Harbin Institute of Technology. My research field is Applied Signal Processing, which is signal processing with a strong focus on algorithms and applications. My research includes topics on Mathematical signal processing Inverse and NP-hard problems Greedy methods and efficient algorithm design (Structured) Sparsity and compressed sensing Modelling and dictionary design / learning data compression and denoising multi-dimensional and scattered data various applications such as seismic exploration, ptychography, video processing...

近期论文

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F. Bossmann, J. Ma ORKA: Object Reconstruction using a K-approximation graph Inverse Problems, 38, 125009, 2022 (ArXiv preprint, Journal link) F. Bossmann, S. Krause-Solberg, J. Maly, N. Sissouno Structural Sparsity in Multiple Measurements IEEE Trans. on Signal Processing, 70, 280-291, 2021 (ArXiv preprint, Journal link) F. Bossmann, J. Ma Enhanced image approximation using shifted rank-1 reconstruction Inverse Problems and Imaging, 14(2), 267-290, 2020 (ArXiv preprint, Journal link) N. Sissouno, F. Bossmann, F. Filbir, M. Iwen, M. Kahnt, R. Saab, C. Schroer, W. zu Castell A direct solver for the phase retrieval problem in ptychographic imaging Mathematics and Computers in Simulation, 2019. (ArXiv preprint, Journal link) F. Bossmann, T. Sauer, N. Sissouno Modeling variational inpainting methods with splines Frontiers in Applied Mathematics and Statistics 5, 27, 2019 (ArXiv preprint, Journal link) F. Bossmann, J. Ma Asymmetric chirplet transform II: phase, frequency and chirp rate Geophysics 81(6), V425-V439, 2017 (Journal link) F. Bossmann, J. Ma Asymmetric chirplet transform for sparsity representation of seismic data Geophysics 80(6), WD89-WD100, 2015 (Journal link) F. Bossmann, G. Plonka, T. Peter, O. Nemitz, T. Schmitte Sparse deconvolution methods for ultrasonic NDT Journal of Nondestructive Evaluation 31(3), 225-244, 2012 (Journal link)