All my present and former team members are listed below.
Postdocs
Carl Andersson (previously at Uppsala University), 2022-present
Antônio Ribeiro (previously at Universidade Federal de Minas Gerais (UFMG), Brazil), 2021-present
Dominik Baumann (previously at the Max Planck Institute and RWTH Aachen University, Germany), 2022-present
PhD students
Thomas Schön is currently supervising the following PhD students:
Johan Wågberg (previously at Linköping University) Bayesian nonparametric models for learning of dynamical systems.
Maria Bånkestad (previously at KTH) Deep non-parametric models. Industrial PhD student with RISE SICS.
Fredrik Gustafsson (previously at Linköping University) Uncertainty-aware deep learning for autonomous driving and medical imaging.
Niklas Gunnarsson (previously at Uppsala University) Learning to control in uncertain environments, magnetic resonace radiation therapy. WASP Industrial PhD student with Elekta.
Daniel Gedon (previously at Delft University of Technology, The Netherlands). WASP AI student.
Bernhard Wullt (previously at Luleå University of Technology) Reinforcement learning for motion planning. WASP Industrial PhD student with ABB Robotics.
Ziwei Luo (previously at Chengdu University of Information Technology and Megvii Technology, China) Probabilistic deep learning with application in computer vision.
Thomas Schön is actively co-supervising the following PhD students:
Philipp Pilar (previously at TU Wien, Austria) Physics based machine learning.
Jennifer Andersson (previously at Uppsala University) Probabilistic machine learning.
Alumni - PhD
Mina Ferizbegovic (PhD Automatic Control, 2022) Dual control concepts for linear dynamical systems. [pdf] Supervisor: Håkan Hjalmarsson, Co-supervisor: Thomas Schön and Cristian Rojas.
Carl Jidling (PhD Machine Learning, 2022) Tailoring Gaussian processed and large-scale optimisation. [pdf] Supervisor: Thomas B. Schön, Co-supervisors: Adrian Wills and Niklas Wahlström.
Carl Andersson (PhD Machine Learning, 2022) Deep probabilistic models for sqeuential and hierarchical data. [pdf] Supervisor: Thomas B. Schön and Niklas Wahlström.
Muhammad Osama (PhD Machine Learning, 2022) Robust machine learning methods. [pdf] Supervisor: Dave Zachariah, Co-supervisor: Thomas B. Schön. Currently: Machine Learning engineer at Aptive, Dusseldorf, Germany.
Jan Kudlicka (PhD Computer Science, 2021) Probabilistic programming for birth-death models of evolution. [pdf] Supervisor: Johannes Borgström, Co-supervisor: Thomas B. Schön. Currently: Assistant Professor of Data Science at BI Norwegian Business School, Oslo, Norway.
Antonio Ribeiro (PhD Electrical Engineering, 2020) Learning nonlinear differentiable models for signals and systems: with applications. [pdf] Supervisor: Luis A. Aguirre, Co-supervisor: Thomas B. Schön. Currently: Post-doc at Uppsala University.
Christian Andersson Naesseth (PhD Automatic Control, 2018) Machine learning using approximate inference - Variational and sequential Monte Carlo methods. [pdf] Supervisor: Thomas Schön. Co-supervisor: Fredrik Lindsten. Currently: Post-doc at Columbia University (the Machine Learning group of David Blei), New York, NY, USA.
Andreas Svensson (PhD Automatic Control, 2018) Machine learning with state-space models, Gaussian processes and Monte Carlo methods. [pdf] Supervisor: Thomas Schön. Co-supervisor: Fredrik Lindsten. Currently: Machine Learning Engineer with Annotell, Sweden.
Manon Kok (PhD Automatic Control, 2017) Probabilistic modeling for sensor fusion with inertial measurements. [pdf] Supervisor: Thomas Schön. Co-supervisor: Fredrik Gustafsson. Currently: Assistant professor at Delft University of Technology, The Netherlands.
Johan Dahlin (PhD Automatic Control, 2016) Accelerating Monte Carlo methods for Bayesian inference in dynamical models. [pdf] [code] Supervisor: Thomas Schön. Co-supervisor: Fredrik Lindsten. Currently: Head of Product and co-founder at AgriOpt.
Liang Dai (PhD Signal Processing, 2016) Identification using convexification and recursion. [pdf] Supervisor: Thomas Schön. Co-supervisor: Petre Stoica. Currently: Post-doc at New York University, Abu Dhabi campus.
Niklas Wahlström (PhD Automatic Control, 2015) Modeling of magnetic fields and extended objects for localization applications. [pdf] [DiVA] Supervisor: Fredrik Gustafsson. Co-supervisor: Thomas Schön. Currently: Assistant Professor at Uppsala University.
Martin Skoglund (PhD Automatic Control, 2014) Inertial navigation and mapping for autonomous vehicles. [pdf] [DiVA] Supervisor: Fredrik Gustafsson. Co-supervisor: Thomas Schön. Currently: Post-doc at Linköping University.
Fredrik Lindsten (PhD Automatic Control, 2013) Particle filters and Markov chains for learning of dynamical systems. [pdf] [DiVA] Supervisor: Thomas Schön. Co-supervisor: Lennart Ljung and Fredrik Gustafsson. Currently: Associate Professor at Linköping University, Sweden.
Zoran Sjanic (PhD Automatic Control, 2013) Navigation and mapping for aerial vehicles based on inertial and imaging sensors. [pdf] [DiVA] Supervisor: Fredrik Gustafsson. Co-supervisor: Thomas Schön. Currently: Engineer at Saab.
Karl Granström (PhD Automatic Control, 2012) Extended target tracking using PHD filters. [pdf] [DiVA] Supervisor: Thomas Schön. Co-Supervisor: Fredrik Gustafsson. Currently: Post-doc at Chalmers University of Technology, Sweden.
Christian Lundquist (PhD Automatic Control, 2011) Sensor fusion for automotive applications [pdf] [DiVA] Supervisor: Fredrik Gustafsson. Co-Supervisor: Thomas Schön. Currently: CEO at SenionLab.
Jeroen Hol (PhD Automatic Control, 2011) Sensor Fusion and Calibration using Inertial Sensors, Vision, Ultra-Wideband and GPS [pdf] [DiVA] Supervisor: Thomas Schön. Co-Supervisor: Fredrik Gustafsson. Currently: Senior Engineer at DAQRI in Vienna, Austria.
David Broman (PhD Computer Science, 2010) Meta-Languages and Semantics for Equation-Based Modeling and Simulation [pdf] [DiVA] Supervisor: Peter Fritzon. Co-Supervisor: Thomas Schön. Currently: Associate Professor at KTH Royal Institute of Technology.
David Törnqvist (PhD Automatic Control, 2008) Estimation and Detection with Applications to Navigation [pdf] [DiVA] Supervisor: Fredrik Gustafsson. Co-Supervisor: Thomas Schön. Currently: CTO at SenionLab.
Alumni - Licentiate
Niklas Gunnarsson (2021) On the registration and modeling of sequential medical images [pdf] Supervisor: Thomas Schön. Co-supervisor: Jens Sjölund and Peter Kimstrand.
Muhammad Osama (2020) Machine learning for spatially varying data [pdf] Supervisor: Dave Zachariah. Co-Supervisor: Thomas Schön.
Carl Andersson (2019) Deep learning applied to system identification: A probabilistic perspective. [pdf] Supervisor: Thomas Schön. Co-supervisor: Niklas Wahlström.
Carl Jidling (2019) Tailoring Gaussian processes for tomographic reconstruction. [pdf] Supervisor: Thomas Schön. Co-supervisor: Niklas Wahlström.
Andreas Svensson (2016) Learning probabilistic models of dynamical phenomena using particle filters [pdf]. Supervisor: Thomas Schön. Co-supervisor: Fredrik Lindsten.
Manon Kok (2014) Probabilistic modeling for positioning applications using inertial sensors [pdf]. Supervisor: Thomas Schön. Co-Supervisor: Fredrik Gustafsson.
Johan Dahlin (2014) Sequential Monte Carlo for inference in nonlinear state space models [pdf]. Supervisor: Thomas Schön. Co-Supervisor: Fredrik Lindsten.
Niklas Wahlström (2013) Localization using magnetometers and light sensors [pdf]. Supervisor: Fredrik Gustafsson. Co-Supervisor: Thomas Schön.
Martin Skoglund (2011) Visual Inertial Navigation and Calibration [pdf]. Supervisor: Fredrik Gustafsson. Co-Supervisor: Thomas Schön.
Fredrik Lindsten (2011) Rao-Blackwellised particle methods for inference and identification [pdf]. Supervisor: Thomas Schön. Co-Supervisor: Lennart Ljung and Fredrik Gustafsson.
Karl Granström (2011) Loop detection and extended target tracking using laser data [pdf]. Supervisor: Thomas Schön. Co-Supervisor: Fredrik Gustafsson.
Zoran Sjanic (2011) Navigation and SAR auto-focusing in a sensor fusion framework [pdf]. Supervisor: Fredrik Gustafsson. Co-Supervisor: Thomas Schön.
Christian Lundquist (2009) Automotive sensor fusion for situation awareness [pdf]. Supervisor: Fredrik Gustafsson. Co-Supervisor: Thomas Schön
Jeroen Hol (2008) Pose estimation and calibration algorithms for vision and inertial sensors [pdf]. Supervisor: Fredrik Gustafsson. Co-Supervisor: Thomas Schön.
Alumni - Postdoc
Andreas Lindholm (previously at UU, Machine Learning), 2018 - 2020. Currently: Machine Learning at Annotell, Göteborg, Sweden.
Riccardo Risuleo (previously at KTH), 2019-2020. Currently: Machine Learning Researcher at Klarna Bank, Stockholm, Sweden.
Koen Tiels (previously at Vrije Universitet Brussel), 2018-2020. Currently: Assistant Professor at Eindhoven University of Technology, The Netherlands.
Jack Umenberger (previously at University of Sydney), 2017-2019. Currently: Post-doc at MIT (robotics group of Russ Tedrake), Cambridge, MA, USA.
Jalil Taghia (previously at Stanford University), variational inference, sampling based methods and deep learning. Currently: Machine Learning researcher with Ericsson Research, Stockholm, Sweden.
Juozas Vaicenavičius (previously at UU, mathematics), 2017-2019, industrial post-doc working together with Veoneer. Currently: Co-founder at Sensmetry, Vilnius, Lithuania.
Niklas Wahlström (previously at Linköping University), 2015 - 2019. Currently: Assistant Professor at Uppsala University.
Lawrence Murray (previously at the University of Oxford), 2016-2018. Currently at UBER AI (San Francisco, CA, USA).
Johan Dahlin (previously at Linköping University), 2016-2017, industrial post-doc working together with Sectra. Currently: Head of Product and co-founder at AgriOpt.
Visitors (longer than 2 weeks)
Tim Martin, pre-doc from The University of Stuttgart, August 2022 - November 2022.
Fabio Bonassi, pre-doc from Politecnico di Milano, Italy, August 2021 - December 2021.
Johannes Hendriks, pre-doc from The University of Newcastle, Australia, November 2018 - February 2019.
Antônio Ribeiro, pre-doc from Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Brazil. September 2018 - December 2019.
Dr Adrian Wills from the University of Newcastle, Australia, June, 2018.
Timothy Rogers, pre-doc from Elizabeth Cross’ group at the University of Sheffield, UK, June 2018.
Matteo Scandella, pre-doc from Fabio Previdi’s group at the University of Bergamo, Italy, June 2018 and September - November, 2017.
Professor Bhushan Gopaluni from the University of British Columbia in Vancouver (Canada), May - June, 2017.
Tom Jin, pre-doc from Adam Johansen’s group at Warwick University in Warwick (UK) May-June, 2017.
Koen Tiels from the Vrije Universiteit Brussel in Brussels (Belgium), May, 2017.
Jack Umenberger, pre-doc from Ian Machester’s group at The University of Sydney, Australia, September, 2016.
Hildo Bijl, pre-doc from Michel Verhaegen’s group at Delft University of Technology in Delft, The Netherlands. Visiting April - June, 2015.
Roger Frigola, pre-doc from the Machine learning group at the University of Cambridge (UK). Visiting April - June, 2013. [PhD thesis]