Elina Rönnberg

Deputy Head of Department, Senior Lecturer

Discrete optimization as decision support

It is fascinating that mathematical models and algorithms can be used to compute and suggest a good course of action when faced with a decision so complex that it is difficult for a human to grasp all aspects of it. For me, our research is about pushing the limits for when optimization can be of practical use, both with respect to how a problem is modelled, and through the development of efficient solution strategies. My research is within discrete optimization, with a special interest in decomposition methods, and the applications are mainly within scheduling and resource allocation.

Professional activitiesShow/Hide content

Professional activities

Deputy head of the Department of Mathematics, Linköping University, 2021 -
Member of the Board of the Department of Mathematics, Linköping University, 2018 - 2020
Member of the Programme Board for Electrical Engineering, Applied Physics and Computational Sciences, Linköping University, 2018 - 2020
Specialist in Optimisation at Saab Aeronautics, 2014 - 2020
Co-founder of Schemagi, 2009 -
President of the Swedish Operations Research Association, 2016 - 2019
(member of the board 2014 - 2019)

Student theses

Optimisation of truck hauling schedules and passing bay locations in underground mines, Albin Ryberg, 2020

Current teaching

Operations Research, Extended Course (TAOP62) for Industrial Engineering and Management, and Industrial Engineering and Management - International
Project - Applied Mathematics (TATA62) for Mathematics, Master's Programme, and Applied Physics and Electrical Engineering (Y and Yi)

Research domainShow/Hide content

Operations Research Methods for Scheduling and Resource Allocation Problems

In this research project, we are developing mathematical models and solution methods for practically relevant but computationally challenging problems in scheduling and resource allocation.

Research projectsShow/Hide content

A SJ-train driving through a beautiful landscape.

Decision support for railway crew planning

For our society to fully reap the benefits of sustainable train travel, careful resource planning is essential. Passengers need to be able to rely on that trains are on time and train operators need to make efficient use of their vehicles and crew.

Pilot controls the plane in the cockpit.

Scheduling of Avionic Systems

In an avionic system, communications and activities need to be scheduled to ensure the functionality of the aeroplane. Efficient methods for such scheduling are of importance for the development of future avionic systems.

Telecommunication tower on blue sky background.

Decision Support for Scheduling: Models, Methods and Validation

In this project we have developed column generation methods for a kind of scheduling in telecommunication and for solving transportation problems with both fixed and linear costs.

PhD studentsShow/Hide content

Roghayeh Hajizadeh

PhD Student

Former PhD students

Emil Karlsson, 2016-2021, main supervisor
Thesis: Optimisation methods for solving a large-scale avionics scheduling problem
Fred Mayambala, Makarere University, Uganda, 2012-2017, co-supervisor
Thesis: Mean-Variance Portfolio Optimization: Eigendecomposition-Based Methods
Yixin Zhao, 2012-2016, co-supervisor
Thesis: On the Integration of Heuristics with Column-Oriented Models for Discrete Optimization

PublicationsShow/Hide content

2020

2019

2018

NewsShow/Hide content

Elina Rönnberg, grundare till Schemagi, Linköpings universitet,141117

Schemagi – a scheduling tool for improved quality in healthcare

Scheduling is a complicated matter of huge importance at many workplaces. Researchers in optimisation at LiU have therefore developed a methodology for scheduling that is able to meet all the various types of requirements.

OrganisationShow/Hide content

Department of Mathematics

The department conducts research in computational mathematics, mathematics and applied mathematics, mathematical statistics, and optimization. We provide courses to students in most degree programmes in mathematics, science and engineering.

Dices lying on paper on stock market prices.

Applied Mathematics

Applied mathematics is used to study advanced methods for modeling in technology as well as natural and social sciences. The division conducts research in computational mathematics, mathematical statistics and optimization.

About LiU

Linköping University, LiU, offers innovative education and boundary-crossing research. The students are among the most desirable in the labour market and international rankings consistently place LiU as a leading global university.