I’ve spoken at events all around the world.

One of my favorite ways to share my ideas is live on stage with a lot of discussions with the audience. As well as during workshops where we can go hands on with software to explore new science and technology.

Companies

Artificial Intelligence: Technology, Business, and Law.

May 12, 2023

Delphi Legal Firm.

An introduction to machine learning for dynamical models.

November 22, 2018.

ABB Corporate Research, Västerås, Sweden.

Conferences

Creating Business Value with AI.

April 22, 2024

LEAD Academcy

Academic conferences

Constructing Metropolis-Hastings proposals using damped BFGS updates.

July 10, 2018.

The 18th IFAC Symposium on System Identificiation (SYSID), Stockholm, Sweden.
slides (pdf)

Sparse Bayesian ARX models with flexible noise models.

July 9, 2018.

The 18th IFAC Symposium on System Identificiation (SYSID), Stockholm, Sweden.
slides (pdf)

Tutorial: Particle Metropolis-Hastings for Bayesian non-linear system identification.

June 8, 2016.

Reglermöte, Göteborg, Sweden.
slides (pdf)

Particle-based Gaussian process optimization for input design in nonlinear dynamical model.

June 8, 2016.

Reglermöte, Göteborg, Sweden.
poster (pdf)

Parameter estimation in non-linear state space models using Newton optimisation.

June 8, 2016.

Reglermöte, Göteborg, Sweden.
poster (pdf)

Getting started with particle Metropolis-Hastings for nonlinear system identification.

April 14, 2016.

Seminar series at the division of Automatic Control, Linköping, Sweden.
slides (pdf)

Quasi-Newton particle Metropolis-Hastings.

October 20, 2015.

The 17th IFAC Symposium on System Identification, Beijing, China.
slides (pdf)

Particle filter-based Gaussian process optimisation for parameter inference.

August, 28, 2014.

IFAC World Congress 2014, Cape Town, South Africa.
slides (pdf)

Second-order particle MCMC for Bayesian parameter inference.

August, 28, 2014.

IFAC World Congress 2014, Cape Town, South Africa.
slides (pdf)

A graph/particle-based method for experiment design in nonlinear systems.

August, 25, 2014.

IFAC World Congress 2014, Cape Town, South Africa.
slides (pdf)

Particle filter-based Gaussian process optimisation for parameter inference.

Jun 3, 2014.

Reglermöte 2014, Linköping, Sweden.
poster (pdf)

Particle Metropolis Hastings using Langevin Dynamics.

May 30, 2013.

The 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Vancouver, Canada.
poster (pdf)

Hierarchical Bayesian approaches for robust inference in ARX models.

July 11, 2012.

The 16th IFAC Symposium on System Identification, Brussels, Belgium.
slides (pdf)

Community Detection in Uncertain Networks by Ensemble approaches.

October 19, 2011.

TAMSEC Workshop, Linköping, Sweden.
poster (pdf)

Academic workshops and similar

Software for Machine learning.

August 16, 2018.

Mechatronics seminar series. University of Newcastle, Newcastle, Australia.
slides (pdf) code

Machine learning for medical applications.

March 7, 2017.

Guest lecturer in the course “Statistical Machine Learning”, Uppsala University, Sweden.

Particle Metropolis-Hastings for inference in non-linear state-space models.

February 16, 2017.

Statistics seminar series at Örebro University School of Business, Örebro, Sweden.
slides (pdf)

Tutorial: Particle Metropolis-Hastings for inference in non-linear state-space models.

September 28, 2016.

ERNSI Workshop, Cison de Valmarino, Italy.
slides (pdf)

Gaussian process optimisation for approximate Bayesian inference.

November 26, 2015.

Seminar series at the division of Automatic control, Linköping, Sweden.
slides (pdf)

Quasi-Newton particle Metropolis-Hastings.

September 22, 2015.

ERNSI Workshop, Varberg, Sweden.
poster (pdf)

Quasi-Newton particle Metropolis-Hastings.

August 26, 2015.

Workshop on Recent advances in Sequential Monte Carlo, Paris, France.
poster (pdf)

Gaussian process optimization for approximate Bayesian inference.

April 1, 2015.

IDA Machine learning seminar series at Linköping University, Linköping, Sweden.
slides (pdf)

Speeding up the particle Metropolis-Hastings algorithm for Bayesian parameter inference.

November 28, 2014.

University of Newcastle, Newcastle, Australia.
slides (pdf)

Sequential Monte Carlo for inference in nonlinear state space models.

May 28, 2014.

Licentiate's seminar, Linköping, Sweden.
slides (pdf)

Particle-Metropolis Hastings with second-order proposals.

January 6, 2014.

MCMski Workshop 2014, Chamonix, France.
poster (pdf)

Second-order PMCMC for Parameter Inference.

September 24, 2013.

ERNSI Workshop, Nancy, France.
poster (pdf)

An analysis of input design for state-space models.

September 24, 2013.

ERNSI Workshop, Nancy, France.
poster (pdf)

Bayesian optimisation for Parameter Inference in nonlinear SSMs.

September 23, 2013.

ERNSI Workshop, Nancy, France.
poster (pdf)

Towards Particle Markov Chain Monte Carlo - or my first year as a PhD student.

November 23, 2012.

Invited seminar at Swedish Defence Research Agency, Stockholm, Sweden.

Sequential Sampling for Dynamic Environment Map Illumination.

October 25, 2012.

CADICS Workshop, Norrköping, Sweden.

Parameter inference in AR processes with missing data.

September 25, 2012.

ERNSI Workshop, Maastricht, Netherlands.
poster (pdf)

Sequential Monte Carlo for dynamic Image-based lighting.

September 21, 2012.

Workshop on Recent advances in Sequential Monte Carlo, Warwick, UK.
poster (pdf)

Detecting community structures in uncertain social networks.

March 31, 2011.

Nordita Workshop - Applications of Network Theory: From Mechanisms to Large-Scale Structure, Stockholm, Sweden.
slides (pdf)