On this page you can find the slides of most of the talks I have given, including both technical conference presentations as well as more general presentations directed toward a wider audience.

Thesis Research

I was very happy to receive the 2020 ACP doctoral award from the association of constraint programming. I gave a talk regarding my thesis research at the CP conference in 2020. The slides can be found here and the prerecorded video of the talk  here.  

Lectio Praecursoria a 20 minute presentation given at the start of my thesis defence. The presentation is intended for people without a background in the field.

During my research visit to Melbourne in the autumn of 2018 I gave two, slightly more technical, overviews of my thesis work. One focusing on the MaxSAT encodings, in the CIS seminar at the University of Melbourne and one on the MaxSAT preprocessing in the DATA61 seminar at Monash university.

During my research visit to Toronto I gave another talk regarding my thesis, specifically about the MaxSAT encodings in it.

Research Presentations

These are presentations of my papers. The title of each presentation is equal to the title of the paper. These are all fairly technical and assume familiarity with the research field.

Additional presentations

In addition to the ones listed above, I have also presented papers at the following venues.

  • I gave a talk at the academy club of the Young Academy of Finland titled (NP-kovaa) Optimointia Deklaratiivisesti
  • Oral Presentation: MaxPre: An Extended MaxSAT Preprocessor, at SAT 2016
  • Poster Presentation: Learning Optimal Bounded Treewidth Bayesian Networks via Maximum Satisfiability. at the Machine Learning Summer School (MLSS), 2015
  • Poster Presentation: Learning Optimal Bounded Treewidth Bayesian Networks via Maximum Satisfiability at AISTATS 2014

Non-research presentations

  • Hur svårt kan det vara (in Swedish), an informal introduction to reductions and NP-completeness using SAT and Sudoku aimed at an audience with practically no background.
  • Intuition in mathematics (in Swedish), a collection of examples designed to challenge the idea and intuition of mathematics that many high school students have. The example that worked really well was the mothy hall paradox. (in Swedish)
  • NaNu (in Swedish), an informal introduction to neural networks, explanations and adversarial examples, aimed at high school students and undergraduate students in all sciences.
  • Voivatko tietokoneet ajatella ihmimäisesti? (in Finnish), an introduction to artificial intelligence and machine learning aimed at 9 to 12 year old kids. I presented this as a part of the meet a researcher initiative of the Young Academy of Finland.