Johan Karlsson received an MSc degree in Engineering Physics from KTH in 2003
and a PhD in Optimization and Systems Theory from KTH in 2008.
From 2009 to 2011, he was with Sirius International, Stockholm. From
2011 to 2013 he
was working as a postdoctoral associate at the Department of
Computer and Electrical Engineering, University of Florida. From
2013 he joined the Department of Mathematics, KTH, and since 2023 he is working as an professor.
His current research interests include inverse problems, methods for
large scale optimization,
and model reduction, for applications in remote sensing, signal processing, and control
theory.
Phone: +46-(0)8-790 8440
Mail: johan.karlsson at math.kth.se
A. Ringh, I. Haasler, Y. Chen, J. Karlsson: Mean field type control with species dependent dynamics via structured tensor optimization.
IEEE Control Systems Letters, 2023.
M. Mascherpa, I. Haasler, B. Ahlgren, J. Karlsson: Estimating pollution spread in water
networks as a Schrödinger bridge problem with partial information.
European Journal of Control, 100846, Available online 16 June 2023,
I. Haasler, J. Karlsson, and A. Ringh: Control and estimation of ensembles via structured optimal transport, A computational approach based on entropy-regularized multi-marginal
optimal transport.
IEEE Control Systems Magazine 41 (4), 50-69, 2021.
B. Zhu, A. Ferrante, J. Karlsson, M. Zorzi: M^2-Spectral Estimation: A Relative Entropy Approach.
Automatica, Vol 125, March 2021
I. Haasler, Y. Chen, and J. Karlsson:
Optimal Steering of Ensembles With Origin-Destination Constraints.
IEEE Control Systems Letters, vol 5, no 3, pp. 881-886, 2020.
R. Singh, I. Haasler, Q. Zhang, J. Karlsson, Y. Chen:
Incremental inference of collective graphical models.
IEEE Control Systems Letters, vol 5, no 2, pp. 421-426, 2020.
S. Banert, A. Ringh, J. Adler, J. Karlsson, O. Öktem: Data-driven nonsmooth optimization
SIAM Journal on Optimization, vol 30, issue 1, pp. 102-131, 2020.
J. Karlsson and A. Lindquist:
Stability-preserving rational approximation subject to interpolation constraints.
IEEE Transactions on Automatic Control,
vol. 53, pp. 1724-1730, August 2008. Full length version.
F. Elvander, J. Karlsson, T. van Waterschoot: Worst-case uncertainty bounds in covaraiance interpolation..
European Signal Processing Conference (EUSIPCO), 1730-1734, 2022.
I. Haasler, A. Ringh, Y. Chen, and J. Karlsson: Efficient computations of multi-species mean field games via graph-structured optimal transport.
IEEE Conference on Decision and Control, 2021.
A. Ringh, J. Karlsson, A. Lindquist: On analytic interpolation with non-classical constraints for solving problems in robust control.
American Control Conference (ACC), 2374-2381, 2021.
F. Elvander, J. Karlsson, T. van Waterschoot: Convex Clustering for Multistatic Active Sensing via Optimal Mass Transport.
European Signal Processing Conference (EUSIPCO), 1730-1734, 2021.
B. Zhu, A. Ferrante, J. Karlsson, M. Zorzi: Fusion of Sensors Data in Automotive Radar Systems: a Spectral Estimation Approach.
IEEE Conference on Decision and Control, 2019.
F. Elvander, I. Haasler, A. Jakobsson, and J. Karlsson: Non-coherent sensor fusion via entropy regularized
optimal mass transport.
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2019.
S. Zhang, A. Ringh, X. Hu, and J. Karlsson:
A moment-based approach to modeling collective behaviors.
IEEE Conference on Decision and Control, 2018.
A. Ringh, J. Karlsson, and A. Lindquist: Lower bounds on the maximum delay margin by analytic interpolation.
IEEE Conference on Decision and Control, 2018.
F. Elvander, I. Haasler, A. Jakobsson, and J. Karlsson: Tracking and Sensor Fusion in Direction of Arrival Estimation Using Optimal Mass Transport.
European Signal Processing Conference, 2018.
F. Elvander, A. Jakobsson, and J. Karlsson: Using Optimal Mass Transport for Tracking and Interpolation of Toeplitz Covariance Matrices.
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2018.
A. Ringh, J. Karlsson, and A. Lindquist: Further results on multidimensional rational covariance extension
with application to texture generation.
IEEE Conference on Decision and Control, 2017.
F. Elvander, S. Adalbjörnsson, J. Karlsson, and A. Jakobsson: Using optimal transport for estimating inharmonic pitch signals.
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2017.
J. Karlsson, P. Enqvist, and A. Gattami: Confidence Assessment for Spectral Estimation based on Estimated Covariances.
IEEE International Conference
on Acoustics, Speech, and Signal Processing, 2016.
A. Ringh, J. Karlsson, and A. Lindquist: The multidimensional
circulant rational covariance extension problem: solutions and applications in image compression.
IEEE Conference on Decision and Control, 2015.
A. Gattami, E. Ringh, and J. Karlsson: Time localization and capacity of faster-than-Nyquist signaling.
IEEE Globecom, 2015.
A. Ringh and J. Karlsson: A fast solver for the circulant rational covariance extension problem.
IEEE European Control Conference, 2015.
A. Sadeghian D. Lim, J. Karlsson, and J. Li:
Automatic target recognition using discrimination based on optimal transport.
IEEE International Conference
on Acoustics, Speech, and Signal Processing, 2015.
J. Karlsson and L. Ning: On robustness of L1-regularization methods for spectral estimation. Presentation.
IEEE Conference on Decision and Control, 2014.
G.O. Glentis, J. Karlsson, A. Jakobsson, and J. Li: Efficient spectral analysis in the missing data case using sparse ML methods.
European Signal Processing Conference, 2014.
J. Karlsson, J. Li, and P. Stoica: Filter design with hard spectral constraints. European Signal Processing Conference, 2014.
W. Rowe, J. Karlsson, and J. Li: Error analysis of MIMO monopulse for tracking radar.
International Radar Symposium, 2013.
J. Karlsson, W. Rowe, L. Xu, G. Glentis, and J. Li: Fast missing data IAA by low rank completion.
IEEE International Conference
on Acoustics, Speech, and Signal Processing, 2013.
K. Zhao, J. Liang, J. Karlsson, and J. Li: Enhanced multistatic active sonar signal processing.
IEEE International Conference
on Acoustics, Speech, and Signal Processing, 2013.
W. Rowe, J. Karlsson. Xu, G. Glentis, and J. Li: SAR imaging
in the presence of spectrum notches via fast missing data
IAA. SPIE Defense, Security, and Sensing, 2013.
J. Karlsson and T. Georgiou:
Metric uncertainty for spectral estimation based on Nevanlinna-Pick
interpolation.
International Symposium on the Mathematical Theory of Networks and Systems, 2012.
J. Karlsson and P. Enqvist:
Input-to-state covariances for spectral analysis: The biased
estimate.
International Symposium on the Mathematical Theory of Networks and Systems, 2012.
W. Rowe, J. Karlsson, L. Xu, and J. Li: Untangling multipath returns in MIMO radar via waveform
diversity.
IEEE Sensor Array and Multichannel Signal Processing Workshop, 2012.
J. Karlsson, T. Georgiou, and A. Lindquist: Weight selection for gap robustness with degree-constrained
controllers. IEEE Conference on Decision and Control, 2008.
J. Karlsson, S. Takyar, and T. Georgiou: Transport metrics for power spectra.
IEEE Conference on Decision and Control, 2008.
P. Enqvist and J. Karlsson: Minimal Itakura-Saito distance and covariance interpolation.
IEEE Conference on Decision and Control, 2008.
J. Karlsson, T. Georgiou, and A. Lindquist: Weight selection for control synthesis with degree-constrained
controllers.
International Symposium on the Mathematical Theory of Networks and Systems, 2008.
P. Enqvist and J. Karlsson: Minimal Itakura-Saito distance and covariance interpolation.
International Symposium on the Mathematical Theory of Networks and Systems, 2008.
X. Jiang,
J. Karlsson, and T. Georgiou: Phoneme segmentation based on spectral metrics.
International Symposium on the Mathematical Theory of Networks and Systems, 2008.
J. Karlsson and A. Lindquist: Stable rational approximation in the context of interpolation and
convex optimization.
IEEE Conference on Decision and Control, 2007.
J. Karlsson, T. Georgiou, and A. Lindquist: The inverse problem of analytic interpolation with degree constraint.
IEEE Conference on Decision and Control, 2006.
G. Fanniza, J. Karlsson, A. Lindquist, and R. Nagamune: A global analysis approach to passivity preserving model reduction.
IEEE Conference on Decision and Control, 2006.
J. Karlsson and A. Lindquist: On complexity constrained interpolation with interpolation points
close to the boundary.
International Symposium on the Mathematical Theory of
Networks and Systems, 2006.
J. Karlsson and T. Georgiou: Signal analysis, moment problems & uncertainty measures.
IEEE Conference on Decision and Control, and IEEE
European Control Conference, 2005.
Extended abstracts (peer-reviewed):
Y. Chen, J. Karlsson, and T. Georgiou: The role of past and future in estimation and
the reversibility of stochastic processes.
International Symposium on the Mathematical Theory of Networks and Systems, 2014.
A. Ringh, J. Karlsson, and A. Lindquist: Multidimensional Rational Covariance Extension with Approximate Covariance Matching.
International Symposium on the Mathematical Theory of Networks and Systems, 2016.
J. Karlsson and L. Ning: Super-Resolution methods and Metric Uncertainty via Optimal Transport. Presentation.
International Symposium on the Mathematical Theory of Networks and Systems, 2016.
Y. Chen and J. Karlsson: Tracking distributions of linear dynamical systems: an optimal mass transport approach.
International Symposium on the Mathematical Theory of Networks and Systems, 2018.
J. Karlsson, A. Ringh: Optimal mass transport for regularizing inverse problems using generalized Sinkhorn iterations.
International Symposium on the Mathematical Theory of Networks and Systems, 2018.
S. Zhang, A. Ringh, X. Hu, and J. Karlsson:
Modeling collective behaviors: A moment-based approach.
International Symposium on the Mathematical Theory of Networks and Systems, 2018.
Theses:
Spectral estimation and distortion measures in speech processing.
Master thesis, Royal Institute of Technology, 2003.
