About me

I am a Senior Researcher at Ericsson Research in the Decision and Control group. My work focuses on the intersection of reliability and performance, specifically regarding embedded optimization and real-time Model Predictive Control (MPC). I investigate the reliability of optimization-based controllers across computational, safety, security, and communication dimensions.

Experience & Education

Before joining Ericsson, I developed my research at several leading institutions:

Postdoctoral Researcher (2023–2025)
Division of Systems and Control, Uppsala University. Worked with André Teixeira.
Visiting Researcher
ETH Zurich. Spent six months in Melanie Zeilinger’s group through an NCCR Automation fellowship.
PhD in Electrical Engineering (2023)
Linköping University. Specialized in Automatic Control with my thesis: “Real-Time Certified MPC: Reliable Active-Set QP Solvers”. Supervisor: Daniel Axehill
M.Sc. & Licentiate Degrees
Linköping University (2018, 2021).

Research Focus: Efficient and Reliable Real-Time Optimization

The core of my research is ensuring that optimization solvers used in real-time systems are guaranteed to find solutions within strict time frames. Research interests include:

Development of Efficient Solvers: Creating optimization solvers tailored for specific hardware and problem structures.
- Example: DAQP – A dual active-set QP solver.
Complexity Certification: Developing methods to determine worst-case computational complexity bounds for solvers.
- Example: ASCertain.jl – A Julia package for certifying the complexity of active-set solvers.
Advanced Optimization Specifications Amending existing optimization methods for constraints and objectives arising in advanced applications (for example, logic constraints, prioritized constraints, and game-theoretic objectives.)

Selected Publications

L4DC2025

Data-driven and stealthy deactivation of safety filters

D. Arnström, and A. Teixeira

In 7th AnnuaLearning for Dynamics & Control Conference, 2025

Finalist for best paper award
TAC

Exact worst-case execution-time analysis for implicit model predictive control

D. Arnström, D. Broman, and D. Axehill

IEEE Transactions on Automatic Control, 2024
IFAC 2023

BnB-DAQP: a mixed-integer QP solver for embedded applications

D. Arnström, and D. Axehill

In 22nd IFAC World Congress, 2023

Awarded the Young Author Prize
TAC

A dual active-set solver for embedded quadratic programming using recursive LDL updates

D. Arnström, A. Bemporad, and D. Axehill

IEEE Transactions on Automatic Control, 2022
TAC

A unifying complexity certification framework for active-set methods for convex quadratic programming

D. Arnström, and D. Axehill

IEEE Transactions on Automatic Control, 2022