Curriculum Vitae (abridged)

Academic Degrees

  • Doctor of Science (tech) in Automation, Systems and Control Engineering, Aalto University, Finland, 2020.

  • Master of Science in Engineering, Engineering Mathematics, Lund University, Sweden, 2016.

Academic positions

  • Associate Senior Lecturer (Assistant professor) with the Centre for Mathematical Sciences, Lund University, since April 2023.

  • Postdoctoral researcher with the Department of Computer Science, University of Tübingen, February 2020 through February 2023.

  • Doctoral candidate with the Department of Electrical Engineering and Automation, Aalto University, June 2016 through January 2020.

  • Research assistant with the Department of Electrical Engineering and Automation, Aalto University, January 2016 through May 2016.

  • Teaching assistant with the Centre for Mathematical Sciences, Lund University, on a course by course basis, September 2014 through October 2015.

Internships

  • Software developer at Ericcson AB, Linköping, Sweden, June 10 2013 through August 23 2013.

Teaching

  • Lecturer, developer, and examiner, Time Series (second cycle, 6 ECTS), University of Tübingen.

  • Teaching assistant

    • Non-linear Filtering and Parameter Estimation, Basics of Sensor Fusion, at Aalto University.

    • Valuation of Derivative Assets, Markov processes, Stationary Stochastic Processes, Mathematical Statistics, at Lund University.

Thesis supervision and examination

Thesis supervison

  • Rahul Manavalan, PhD candidate at Lund University (on-going).

  • Sofia Kockum, PhD candidate at Lund University (on-going).

  • Nathanael Bosch, PhD candidate at University of Tübingen.

  • Jonathan Schmidt, PhD candidate at University of Tübingen.

  • Daniel Stenson, Using Social Media and Predicted Personalities to Anticipate Startup Success, MSc at Lund University.

  • Dingling Yao, Uncertainty Propagation in Probabilistic Ordinary Differential Equation Solvers, MSc at University of Tübingen.

  • Lingying Jiang, Implementation of a GPU-Based Kalman Filter in CUDA, MSc at Aalto University.

  • Siyi Zheng, Developing a Cloud-based Solution for Cardiographic Data Collection and Processing, MSc at Aalto University.

  • Samu Kallio, Mobile orientation tracking with non-linear Kalman filters, BSc at Aalto University.

Thesis examination

  • Lukas Andersson, Feature selection on the Nordpool energy market, MSc at Lund University.

  • Jonatan Persson, Robust Jump Models with Feature Selection, MSc at Lund University.

  • Marcus Gehrmann, Statistical reconstruction of fire spread and fire scar probability using a Discrete Markov Random Field mixture model, MSc at Lund University.