Erik Berglund

I was previously a PhD student at the Division of Decision and Control Systems. I studied there from January 2018, supervised by Mikael Johansson, and defended my thesis successfully in May 2024.

My research interest is in algorithms for solving optimization problems, specifically ones that make use of the Hessian of the objective function. In particular, I have studied quasi-Newton algorithms and their limited memory adaptions.

Currently, I am a teaching assistant in the course Envariabelanalys (Calculus in one variable), working for the Department of Mathematics.