Upcoming
October 17, 2022, Artificial intelligence - how clever are the machines?, TekNats studentkonferens, Uppsala, Sweden.
September 16, 2022, Formulating flexible probabilistic models, Workshop on Real-time analytics for internet of sports, Stockholm, Sweden, 2022
August 24, 2022, Formulating flexible probabilistic models, DTU Compute, Technical University of Denmark, Copenhagen, Denmark.
May 6, 2022, Formulating flexible models, Data-driven modelling and learning for cancer immunotherapy, Lund, Sweden.
April 28, 2022, Formulating flexible models, RISE, Stockholm, Sweden.
April 7, 2022, Artificiell intelligens - hur smarta är maskinerna?, Swedish Research Championships for young people, The yearly exhibition of Young Researchers, Södertälje, Sweden, 2022.
April 6, 2022, AI - en rapport från forskningsfronten, Swedish medical products agency, Uppsala, Sweden, April 6, 2022. (online)
March 9, 2022, Formulating flexible probabilistic models, Department of Radiation Oncology, University of Texas southwestern medical center, Dallas, TX, USA. (Online)
December 10, 2021, Deep probabilistic regression, Technische Universität Darmstadt, Germany. (Online)
November 16, 2021, Deep probabilistic regression, Mitsubishi Electric Research Labs (MERL), Cambridge, MA, USA. (Online)
October 13, 2021, Deep probabilistic regression, One World Signal Processing Seminars (Online). [pdf]
October 12, 2021, Artificiell intelligens - hur smarta är maskinerna? UppTalk Weekly (Online). [YouTube]
September 16, 2021, Artificiellt intelligens - hur smarta är maskinerna? Beijer research day, Swedish Livestock Research Centre, Uppsala, Sweden.
July 13, 2021, Formulating flexible probabilistic models, The 19th IFAC Symposium on System Identification: learning models for decision and control (Plenary), Padova, Italy. (Online) [pdf]
June 8, 2021, AI for the sciences, The 48th NORDTEK Conference (Plenary), Grimstad, Norway. (Online)
June 2, 2021, The successful use of overparameterized probabilistic models requires new theory (Plenary), WASP4ALL, Norrköping, Sweden. (Online)
May 27, 2021, AI - hur smarta är maskinerna? Folkuniversitetet Jämtland, Östersund, Sweden. (Online)
May 24, 2021, Deep probabilistic regression, SeRC Annual Meeting - Machine learning for e-Science (Plenary), Stockholm, Sweden. (Online) [pdf]
April 9, 2021, Artificiell intelligens - hur smarta är maskinerna? Royal Society of Sciences at Uppsala, Uppsala, Sweden. (Online)
March 16, 2021, Flexible learning systems driven by data. NordicPOP Annual Meeting (Plenary). (Online) [pdf]
February 18, 2021, Flexible learning systems driven by data. Skandinaviska Enskilda Banken (SEB), Stockholm, Sweden. (Online)
January 20, 2021, Deep probabilistic regression, Tobii, Stockholm, Sweden. (Online)
January 13, 2021, Machine learning and its use as a tool in research, Swedish Academic Initiative for Nuclear Technology (SAINT) workshop, Uppsala, Sweden. (Online) [pdf]
December 4, 2020, Artificial intelligence, AI: What, Why and How?, Diplomatic forum, Stockholm, Sweden. (Online)
November 19, 2020, Deep regression, Unit of Statistics, Örebro University, Sweden. (Online) [pdf]
November 16, 2020, Flexible learning systems driven by data, UU Workshop on Data-driven life science, Uppsala University, Sweden. (Online)
October 27, 2020, AI for research and new results on deep regression, Uppsala University, Sweden. (Online) [pdf]
June 18, 2020, AI for research and new results on deep regression, Chalmers AI Talks, Chalmers University of Technology, Göteborg, Sweden. (online) [pdf] [video]
February 12, 2020, Brief overview of our research and some details on learning nonlinear dynamics. Department of Peace and Conflict Research, Uppsala University, Uppsala, Sweden.
February 4, 2020, Sequential Monte Carlo and deep regression. Peltarion, Stockholm, Sweden.
January 30, 2020, Sequential Monte Carlo and deep regression. University of Cambridge, Cambridge, UK. [pdf]
November 26, 2019. Sequential Monte Carlo and deep regression. The University of Sydney, Sydney, Australia. [pdf]
November 20, 2019. Sequential Monte Carlo and deep regression, The University of Newcastle, Newcastle, Australia. [pdf]
October 23, 2019. Constructing stochastic quasi-Newton algorithms using Gaussian processes. Swedish operations analysis conference, Nyköping, Sweden. [pdf]
October 15, 2019. Sequential Monte Carlo and a visual tracker. Max Planck Institute for Intelligent Systems, Tübingen, Germany. [pdf]
September 25, 2019. Artificiell intelligens - under huven, Framtidsdagen, Stockholm, Sweden.
August 23, 2019. Probabilistic modelling - driven by data, guided by physics, WASP Summer School (keynote), Stockholm, Sweden. [pdf]
June 24, 2019. Probabilistic modelling - driven by data, guided by physics, Mathematics for Complex Data (invited talk), KTH, Stockholm, Sweden. [pdf]
June 4, 2019, Probabilistic modelling - driven by data, guided by physics, Multiscale modelling of materials and molecules (keynote), Uppsala, Sweden. [pdf]
April 25, 2019, Machine Learning - trends and tools, SEB, Stockholm, Sweden. [pdf]
April 2, 2019, Machine Learning overview with medical applications, Department of Medical Sciences, Uppsala University, Sweden. [pdf]
January 8, 2019, Assembling stochastic quasi-Newton algorithms using Gaussian processes, Institute fur Systemtheorie und Regelungstechnik, University of Stuttgart, Stuttgart, Germany. [pdf]
December 2, 2018, Sequential Monte Carlo in the machine learning toolbox, Symposium on Advances in Approximate Bayesian Inference (Invited talk), Montreal, Canada. [pdf]
November 16, 2018, Machine Learning - trends and tools, Quantum chemical Löwdin lectures, Uppsala University, Uppsala, Sweden. [pdf]
November 7, 2018, Assembling stochastic quasi-Newton algorithms using Gaussian processes, Department of Mathematical Sciences, Chalmers University of Technology, Göteborg, Sweden. [pdf]
October 26, 2018, Assembling stochastic quasi-Newton algorithms using Gaussian processes, LCCC Workshop on Learning and Adaptation for Sensimotory Control, Lund University, Lund, Sweden. [pdf]
October 16, 2018, Learning dynamical systems using SMC, Delft Center for Systems and Control, Delft University of Technology, Delft, The Netherlands. [pdf]
October 9, 2018, Assembling stochastic quasi-Newton algorithms using Gaussian processes, Department of Mathematics, Uppsala University, Uppsala, Sweden. [pdf]
September 24, 2018, Assembling stochastic quasi-Newton algorithms using GPs, European Research Network on System Identification (ERNSI) workshop, Pembroke College, Cambridge, UK. [pdf]
September 14, 2018, Machine Learning - trends and tools, ABB Corporate Research, ABB, Västerås, Sweden. [pdf]
September 6, 2018, Assembling stochastic quasi-Newton algorithms using GPs, Workshop on Advances in Kernel Methods, Univeristy of Sheffield, Sheffield, UK. [pdf]
September 4, 2018, GP-based probabilistic modelling of dynamical systems, Gaussian Process Summer School (GPSS), Univeristy of Sheffield, Sheffield, UK. [pdf] [video]
June 22, 2018, Machine learning approaches for system identification, IFAC 2nd Conference on Modelling, Identification and Control of Nonlinear Systems (MICNON) (plenary), Guadalajara, Mexico. [pdf]
May 30, 2018, Learning dynamical systems using SMC, Bosch center for Artificial Intelligence, Bosch, Renningen, Germany. [pdf]
May 29, 2018, Learning dynamical systems using SMC, Max Planck Institute for Intelligent Systems, Tübingen, Germany. [pdf]
May 24, 2018, Machine Learning - trends and tools, Elekta, Stockholm, Sweden. [pdf]
April 18, 2018, On the construction of probabilistic Newton-type algorithms, SIAM Conference on Uncertainty Quantification, Garden Grove, CA, USA. [pdf]
March 21, 2018, Composing stochastic quasi-Newton-type algorithms, Department of Statistics, Uppsala University, Sweden. [pdf]
March 13, 2018, Composing stochastic quasi-Newton-type algorithms, Institute for Mathematics, University of Potsdam, Potsdam-Golm, Germany. [pdf]
February 26, 2018, Composing stochastic quasi-Newton-type algorithms, Department of Statistics, Harvard University, Cambridge, MA, USA. [pdf]
February 8, 2018, System identification meets the Gaussian process, Max Planck ETH Workshop on Learning Control (keynote), Zurich, Switzerland. [pdf]
December 9, 2017, Constructing probabilistic quasi-Newton algorithms and nonlinear state space models using flexible models, Sydney Control Workshop, Sydney, Australia.
December 7, 2017, On the construction of probabilistic Newton-type algorithms, Workshop on Mathematical Systems Theory and Applications, Newcastle Australia.
October, 23, 2017, Constructing probabilistic Newton-type algorithms to learn nonlinear dynamics, Workshop - Learning from a control perspective, Linköping, Sweden.
September 17, 2017, Machine learning - trends and perspectives, European Conference on Optical Communication, workshop on Machine Learning in optical communications (keynote), Gothenburg, Sweden.
May 31, 2017, Divide-and-conquer with sequential Monte Carlo, Swedish museum of natural history, Stockholm, Sweden.
May 18, 2017, Machine learning - trends and tools, Swedbank Quantitative Research, Stockholm, Sweden.
May 15, 2017, Learning flexible models of nonlinear dynamical systems, Data analytics workshop, KTH Royal Institute of Technology, Stockholm, Sweden.
May 12, 2017, On the search for useful representations, Mathematics in Biology and Medicine, Linköping University, Linköping, Sweden.
May 11, 2017, Machine learning - trends and tools, Nira dynamics, Linköping, Sweden.
April 20, 2017, Learning flexible models of nonlinear dynamical systems, DALI meeting - Data lerning and inference, Tenerife, Canary Islands.
March 30, 2017, Machine Learning introduction and our education and research in the area, Föreningen Uppsala Tekniska Fysiker — eventvecka, Uppsala University, Uppsala, Sweden.
March 16, 2017, Learning flexible models of nonlinear dynamical systems, Swedish Institute for Computer Science, Kista, Sweden.
March 10, 2017, Learning flexible models of nonlinear dynamical systems, Lund university, Department of Automatic Control, Lund, Sweden.
February 23, 2017, Machine Learning inom vården, Medicinska studierådet — studiedagen 2017 “Medicin i framtiden”, Uppsala University, Uppsala, Sweden.
January 23, 2017, Automating probabilistic modeling of dynamical systems and their surroundings, WASP Machine Learning Day, Stockholm, Sweden.
December 11, 2016, Inference in probabilistic graphical models using sequential Monte Carlo, 9th International Conference on Computational and Methodological Statistics (CMStatistics), Seville, Spain.
November 28, 2016. Bayesian modelling of nonlinear dynamical systems. Bayesian meeting, Uppsala University, Uppsala, Sweden.
June 1, 2016, Deep reinforcement learning and an integral. School of information and communication technology, KTH Royal Institute of Technology, Stockholm, Sweden.
May 17, 2016, Particle smoothing for near-degenerate or intractable state transition models. ABC Workshop on board, Helsinki-Stockholm, Finland-Sweden.
April 26, 2016, Solving nonlinear inference problems using sequential Monte Carlo. Workshop on Nonlinear System Identification Benchmarks (keynote), Brussels, Belgium.
April 5, 2016, Big Data och Deep learning, tänkbara applikationer inom bilddiagnostiken, Medical Imaging @Vitalis (keynote), Göteborg, Sweden.
March 24, 2016, The particle filter and its use in identifying nonlinear dynamical models. Shanghai Jiao Tong University, Shanghai, China.
March 20, 2016, Learning nonlinear dynamical models using particle filters. Tutorial at the 41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Shanghai, China.
March 16, 2016, Computer vision, perspectives from Machine Learning. Swedish Symposium on Image Analysis (SSBA), Uppsala, Sweden.
March 9, 2016, Particle filters and their use in learning nonlinear dynamical models. formulate, Stockholm, Sweden.
November 27, 2015, Using particle filters to identify nonlinear systems. The University of Newcastle, Newcastle, Australia.
November 13, 2015, Learning nonlinear dynamical models using particle filters. Defence Science and Technology Group, Department of Defence, Edinburgh, Australia.
November 6, 2015, Using particle filters to identify nonlinear systems. Australian Centre for Field Robotics (ACFR), University of Sydney, Sydney, Australia.
October 20, 2015, Sequential Monte Carlo methods for system identification. The 17th IFAC Symposium on System Identification (SYSID), Beijing, China.
October 21, 2015, Towards a best practice of documenting and publishing system identication algorithms. The 17th IFAC Symposium on System Identification (SYSID), Beijing, China.
October 19, 2015, Particle filtering based identification for autonomous nonlinear ODE models. The 17th IFAC Symposium on System Identification (SYSID), Beijing, China.
June 22, 2015, Nonlinear system identification using sequential Monte Carlo, Summer school on foundations and advances in stochastic filtering, Barcelona, Spain.
June 8, 2015, Nonlinear system identification using sequential Monte Carlo methods, Department of Fundamental Electricity and Instrumentation, Vrije Universiteit Brussel, Brussels, Belgium.
April 29, 2015, Using Sequential Monte Carlo for inference in nonlinear dynamical systems, The joint meeting for Uppsala Statisticians, Uppsala University, Uppsala, Sweden.
April 28, 2015, How I supervise PhD students, Pedagogic lunch seminar, Uppsala University, Uppsala, Sweden. [pdf] [video]
April 16, 2015, Solving sequential inference problems using sequential Monte Carlo, Chalmers Machine Learning Summer School, Chalmers University of Technology, Göteborg, Sweden.
March 23, 2015, Maximum likelihood identification in nonlinear state space models, 6th Chinese-Swedish Control Conference, Chengdu, China.
February 9, 2015, Sequential Monte Carlo methods for graphical models, Aalto University, Espoo, Finland.
December 1, 2014, Att automatiskt förstå vad som händer, Åland University of Applied Sciences, Mariehamn, Åland Islands.
November 18, 2014, Att automatiskt förstå vad som händer, Forskning för framtid, Uppsala university, Uppsala, Sweden.
November 13, 2014, Sequential Monte Carlo methods and their use in graphical models, The School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel.
November 9, 2014, Nonlinear system identification enabled via Sequential Monte Carlo, The 2nd Swedish-Israeli Control Conference, Technion - Israel Institute of Technology, Haifa, Israel.
October 23, 2014, Sequential Monte Carlo opens up for nonlinear system identification, Division of Automatic Control, Linköping University, Linköping, Sweden.
June 13, 2014, Sequential Monte Carlo methods and their use in graphical models, Department of Linguistics and Philology, Uppsala University, Uppsala, Sweden.
June 10, 2014, Inference in nonlinear dynamical systems, Mathematical and numerical modelling in finance, Institut Mittag-Leffler (invited talk), Stockholm, Sweden.
April 25, 2014, Sequential Monte Carlo methods for graphical models, Advanced Monte Carlo methods for complex inference problems, Isaac Newton Institute for Mathematical Sciences, Cambridge, UK. [pdf] [video]
March 28, 2014, Ancestor sampling in state space models, graphical models and beyond, Computer vision and active perception lab, KTH Royal institute of technology, Stockholm, Sweden.
February 21, 2014, Ancestor sampling in state space models and beyond, Department of Statistics, University of Oxford, Oxford, UK.
November 20, Lerning dynamical systems using particle filters, Division of Scientific Computing, Uppsala University, Uppsala, Sweden.
November 15, Modellering av dynamiska system - att automatiskt förstå vad som händer, Installationsföreläsning, Uppsala University, Uppsala, Sweden. [video]
September 24, Nonlinear system identification enabled via sequential Monte Carlo, Workshop of the European Research Network on System Identification (ERNSI), Nancy, France.
September 20, Nonlinear system identification enabled via sequential Monte Carlo, Centre for Mathematical Sciences, Lund University, Lund, Sweden.
September 18, Nonlinear system identification enabled via sequential Monte Carlo, Uppsala University Machine Learning Seminar Series, Uppsala University, Uppsala, Sweden.
June 20, Nonlinear system identification enabled via sequential Monte Carlo, International Conference on Machine Learning (ICML), Workshop on Machine Learning for System Identification, Atlanta, GA, USA.
June 13, Sensor fusion in dynamical systems, SIGRAD 2013 (keynote lecture), Norrköping, Sweden.
June 3, An introduction to the theory and practice of particle filters, Sennheiser Technology & Innovation, San Francisco, CA, USA.
May 29, Sensor fusion in dynamical systems, The University of British Columbia, Vancouver, Canada.
April 18, Sensor fusion and parameter inference in nonlinear dynamical systems, Department of Engineering, University of Cambridge, Cambridge, UK.
February 22, Sensor fusion and parameter inference in nonlinear dynamical systems, Center for Control, Dynamical Systems, and Computation (CCDC), University of California Santa Barbara, Santa Barbara, CA, USA.
February 21, Sensor fusion using world models, Department of Electrical Engineering and Computer Sciences, University of California Berkeley, Berkeley, CA, USA.
February 20, DREAMS Tutorial: Particle filters, Department of Electrical Engineering and Computer Sciences, University of California Berkeley, Berkeley, CA, USA.
February 12, Learning models of nonlinear dynamical systems, Division of Statistics, Linköping University, Linköping, Sweden.
December 14, Learning models of dynamical systems - strategies and concrete examples, Department of Electrical Engineering and Computer Sciences, University of California Berkeley, Berkeley, CA, USA.
December 11, Sensor fusion in dynamical systems - applications and research challenges, Department of Electrical Engineering and Computer Sciences, University of California Berkeley, Berkeley, CA, USA.
October 16, Learning nonlinear dynamical models using computational methods, School of Electrical Engineering and Telecommunications, The University of New South Wales, Sydney, Australia.
October 12, Learning nonlinear dynamical models using computational methods, The School of Electrical Engineering and Computer Science, University of Newcastle, Newcastle, Australia.
September 21, Learning Wiener models, Workshop on Recent Advances in Sequential Monte Carlo, The University of Warwick, Coventry, United Kingdom.
July 11, Estimation of Linear Systems using a Gibbs Sampler, The 16th IFAC Symposium on System Identification (SYSID), Brussels, Belgium.
June 4, Representing and working with uncertainty in dynamical systems, Workshop on Complex modeling, Convergence, and Uncertainty Quantification, Uppsala University, Uppsala, Sweden.
April 20, Computational methods for estimation of nonlinear dynamical systems, Department of Mathematics, Linköping University, Linköping, Sweden.
April 19, Sensor fusion using proprioceptive and exteroceptive sensors, Symposium on Robotic Skill Learning and Cognition, Lund University, Lund, Sweden.
October 28, Computational methods for estimation of nonlinear dynamical systems, Division of Systems and Control, Uppsala University, Uppsala, Sweden.
September 19, System identification of nonlinear state-space models, Swedish-Russian Control Conference, Saint Petersburg, Russia.
September 2, Input design for nonlinear stochastic dynamic systems - a particle filter approach, The 18th World Congress of the International Federation of Automatic Control (IFAC), Milan, Italy.
September 1, Vehicle motion estimation using an infrared camera, The 18th World Congress of the International Federation of Automatic Control (IFAC), Milan, Italy.
June 21, Nonlinear system identification using particle methods, LEARN kick-off, Linköping University, Linköping, Sweden.
May 19, Nonlinear system identification and sensor fusion, The Department of Computer and System Sciences, Sapienza University of Rome, Rome, Italy.
December 17, Estimating State-Space Models in Innovations Form using the Expectation Maximisation Algorithm, 49th IEEE Conference on Decision and Control (CDC), Atlanta, GA, USA.
December 17, Estimation of General Nonlinear State-Space Models, 49th IEEE Conference on Decision and Control (CDC), Atlanta, GA, USA.
September 29, Sensor Fusion Using Inertial Sensors, Cameras and Ultra-Wideband, The School of Electrical Engineering and Computer Science, University of Newcastle, Newcastle, Australia.
August 19, Sensor Fusion Using Inertial and UWB Sensors, Workshop on Indoor Navigation, Royal Institute of Technology, Stockholm, Sweden.
August 19, The Use of Camera Information in Solving Sensor Fusion Problems, Workshop on Indoor Navigation, Royal Institute of Technology, Stockholm, Sweden.
June 3, Sensor Data Fusion, Swedish Defense Research Agency, Linköping, Sweden.
May 19, System identification of nonlinear state-space models, Department of Signals and Systems, Chalmers University of Technology, Göteborg, Sweden.
April 19, Some Ongoing Research - Application Oriented, Workshop on Swedish robotics research: Trends, applications and challenges, Royal Institute of Technology, Stockholm, Sweden.
December 8, Sensor Fusion Supporting Autonomous Systems, Docent lecture, Linköping University, Linköping, Sweden.
November 29, The Use of Camera Information in Formulating and Solving Sensor Fusion Problems, CADICS - NTU Workshop on Autonomy in Vehicular Systems, Linköping University, Linköping Sweden.
August 13, Sensor Fusion - an Overview of Theory and Applications, Centre for Autonomous Systems, Royal Institute of Technology, Stockholm, Sweden.
June 9, The Particle Filter and its Applications, Department of Electronics Engineering, Fudan University, Shanghai, China.
March 13, The Particle Filter - An Engineering Perspective, The School of Electrical Engineering and Computer Science, University of Newcastle, Newcastle, Australia.
March 11, Sensor Fusion - Theory, Applications and a Calibration Problem, The School of Electrical Engineering and Computer Science, University of Newcastle, Newcastle, Australia.
February 23, Sensor Fusion - Theory, Applications and a Calibration Problem, Australian Centre for Field Robotics (ACFR), University of Sydney, Sydney, Australia.
January 20, Nonlinear State Estimation - Introducing the Particle Filter, Saab AB, Linköping, Sweden.
December 19, A New Algorithm for Calibrating a Combined Camera and IMU Sensor Unit, 10th International Conference on Control, Automation, Robotics and Vision, Hanoi, Vietnam.
November 7, Overview of the SLAM Problem, Computer Vision Laboratory, Linköping University, Linköping, Sweden.
November 6, Particle Filter SLAM with UAV Applications, Flygtekniskt seminarium, Kolmården, Sweden.
October 29, Fusing Data From Different Sources, 10th International Symposium on 3D Analysis of Human Movement, the H. J. Woltring lecture (plenary lecture), Amsterdam, The Netherlands.
October 3, A New Algorithm For Calibrating a Combined Camera and IMU Sensor Unit, ERNSI Workshop, Sigtuna, Sweden.
August 27, Introducing the Particle Filter - A Mini Course, Autoliv Electronics AB, Linköping, Sweden.
July 10, Sensor Fusion for Augmented Reality, 17th IFAC World Congress, Seoul, South Korea.
June 3, Estimating Vehicle Motion Using Sensor Fusion, Xsens Technologies, Enschede, The Netherlands.
April 22, The Particle Filter - Applications and Theory, Automatic Control Laboratory, ETH, Zurich, Switzerland.
February 7, Camera Modeling and the Use of Vision Information in Sensor Fusion, Division of Automatic Control, Linköping University, Linköping, Sweden.
December 12, A Robust Particle Filter for State Estimation - with Convergence Results, 46th IEEE Conference on Decision and Control (CDC), New Orleans, LA, USA.
November 6, Sensor Fusion Research, SAFER Seminar, Volvo Technology, Göteborg, Sweden.
October 22, An Introduction to the Particle Filter and Its Applications, Department of Mathematics, Royal Institute of Technology, Stockholm, Sweden.
October 3, New Convergence Results for Particle Filters, ERNSI Workshop, Venice, Italy.
August 22, A Basic Convergence Result for Particle Filtering, 7th IFAC Symposium on Nonlinear Control Systems (NOLCOS), Pretoria, South Africa.
November 8, Starting Point Tracking System for SEFS - Implementation and Short Background, IVSS project meeting, Göteborg, Sweden.
September 21, Introducing the Marginalized Particle Filter - Exploiting Structures in State-Space Models, ERNSI Workshop, Linköping, Sweden.
September 14, State-of-the-art for the Marginalized Particle Filter, Nonlinear Statistical Signal Processing Workshop, Cambridge, United Kingdom.
August 30, Introducing the Marginalized Particle Filter, 5th Russian-Swedish Control Conference, Lund, Sweden.
June 15, Lane Departure Detection for Improved Road Geometry Estimation, IEEE Intelligent Vehicle Symposium, Tokyo, Japan.
May 30, Lane Departure Detection for Improved Road Geometry Estimation, Reglermötet (Swedish conference, Automatic Control), Stockholm, Sweden.
May 19, Estimation of Nonlinear Systems using Particle Filters, Systems Biology & Bioinformatics Group, Fraunhofer Chalmers Research Centre, Göteborg, Sweden.
May 16, Exploiting Structure using the Marginalized Particle Filter, Department of Signals and Systems, Chalmers University of Technology, Göteborg, Sweden.
March 31, Maximum Likelihood Nonlinear System Estimation, 14th IFAC Symposium on System Identification, Newcastle, Australia.
March 1, Solving Estimation Problems for Automotive Applications, Department of Automatic Control, Lund University, Lund, Sweden.
January 27, Nonlinear System Estimation - with Automotive Applications, Department of Engineering, University of Cambridge, Cambridge, United Kingdom.
September 21, Nonlinear System Identification Using the Expectation-Maximization Algorithm, ERNSI Workshop, Brussels, Belgium.
September 8, The Expectation-Maximization Algorithm and its Application to System Identification, Seminar at the Division of Automatic Control, Linköping, Sweden.
July 7, Integrated navigation of cameras for augmented reality, 16th IFAC World Congress, Prague, Czech Republic.
March 23, A Short Course on Particle Filters - Part II, The School of Electrical Engineering and Computer Science, University of Newcastle, Newcastle, Australia.
March 22, A Short Course on Particle Filters - Part I, The School of Electrical Engineering and Computer Science, University of Newcastle, Newcastle, Australia.
March 16, Some Applications of System Estimation and Associated Theory, The School of Electrical Engineering and Computer Science, University of Newcastle, Newcastle, Australia.
February 18, Nonlinear Estimation and Selected Applications, The Institute of Statistical Mathematics, Tokyo, Japan.
November 11, Integrated Navigation of Cameras for Augmented Reality, Division of Automatic Control, Linköping, Sweden.
May 26, Particle Filter for System Identification, Reglermötet (Swedish conference, Automatic Control), Göteborg, Sweden.
April 27, Sensor Fusion for the MATRIS Project, BBC R&D, London, United Kingdom.
February 13, Nonlinear Estimation Using the Particle Filter, DaimlerChrysler, Research and Technology, Powertrain Control, Stuttgart, Germany.
December 9, A Modeling and Filtering Framework for Linear Differential-Algebraic Equations, 42nd IEEE Conference on Decision and Control (CDC), Maui, Hawaii, USA.
October 24, On Computational Methods for Nonlinear Estimation, Licentiate presentation, Linköping, Sweden.
October 7, Particle Filter for System Identification, ERNSI Workshop, Noordwijkerhout, The Netherlands.
August 28, Particle Filter for System Identification with Application to Chaos Prediction, 13th IFAC Symposium on System Identification, Rotterdam, The Netherlands.