Sune Lauth Gadegaard

MSc, PhD, Assistant Professor

Curriculum Vitae

Sune Lauth Gadegaard

Assistant Professor

Department of Economics and Business Economics

Postal address:

Fuglesangs Allé 4

2621, 115

8210

Aarhus V

Denmark

Email: sgadegaard@econ.au.dk

Phone: +4587165034

Former affiliations

Research assistant at the Department of Economics and Business Economics, School of Business and Social Sciences, Aarhus University. April 2016 - February 2017.

PhD fellow at the Department of Economics and Business Economics, School of Business and Social Sciences, Aarhus University. February 2013 - April 2016.

Visiting researcher at Lancaster University Management School. September 2014 - December 2014.

Main research areas

Main research interests include discrete facility location problem, route planning, mathematical programming, combinatorial optimization and multiobjective optimization.

Education

2013-2016	Ph.d.in Operations Research, Department of Economics and Business, Aarhus BSS, Aarhus University.
2010-2013	M.Sc. in Mathematics-Economics, Department of Mathematics, Science and Technology, Aarhus University
2007-2010	B.Sc. in Mathematics, Department of Mathematics, Science and Technology, Aarhus University

Publications

Bi-objective branch-and-cut algorithms based on LP relaxation and bound sets

Gadegaard, S. L., Nielsen, L. R. & Ehrgott, M., 14 Jun 2019, In : INFORMS Journal on Computing.

A bi-objective approach to discrete cost-bottleneck location problems

Gadegaard, S. L., Klose, A. & Nielsen, L. R., 2018, In : Annals of Operations Research. 267, 1-2, p. 179-201 23 p.

An improved cut-and-solve algorithm for the single-source capacitated facility location problem

Gadegaard, S. L., Klose, A. & Nielsen, L. R., 2018, In : EURO Journal on Computational Optimization. 6, 1, p. 1-27 27 p.

Bi-objective branch-and-cut algorithms: Applications to the single source capacitated facility location problem

Gadegaard, S. L., Ehrgott, M. & Nielsen, L. R., 2016, Aarhus Universitet.

Integrating cut-and-solve and semi-Lagrangean based dual ascent for the single-source capacitated facility location problem

Gadegaard, S. L., 2016, Department of Economics and Business Economics, School of Business and Social Sciences, Aarhus University.

Activities

CUL workshop on course descriptions

Sune Lauth Gadegaard (Organizer), Anna Bager-Elsborg (Organizer), Maria Hvid Stenalt (Organizer)

2 May 2019

BSS Workshop on reseach and teaching within digitalisation

Sune Lauth Gadegaard (Participant)

25 Apr 2019

Matematiklærer- og alumnedag 2019

Sune Lauth Gadegaard (Speaker)

12 Apr 2019

CUL workshop on course coordination

Sune Lauth Gadegaard (Organizer)

7 Mar 2019

CUL Inspirationsdag om eksamensformer

Sune Lauth Gadegaard (Participant)

22 Nov 2018

Conferences

Recent Advances in Multi-Objective Optimization

Sune Lauth Gadegaard (Speaker)

15 Nov 2018

INFORMS annual meeting 2018

Sune Lauth Gadegaard (Speaker)

4 Nov 2018 → 7 Nov 2018

INFORMS annual meeting 2015

Sune Lauth Gadegaard (Speaker)

1 Nov 2015 → 4 Nov 2015

23rd International Conference on Multiple Criteria Decision Making

Sune Lauth Gadegaard (Speaker)

2 Aug 2015 → 7 Aug 2015

Conference of the International Federation of Operational Research Societies

Sune Lauth Gadegaard (Participant)

13 Jul 2014 → 18 Jul 2014

Teaching

2018:
● Operations Management (Department of Economics and Business Economics)
● Supervision of Bachelor's theses (Department of Economics and Business Economics)
● Supervision of Master's thesis (Department of Mathematics)
2017:
● Quantitative Modelling within Transportation and Distribution (Department of Economics and Business Economics)
● Operations Management (Department of Economics and Business Economics)
● Supervision og Bachelor's theses (Department of Economics and Business Economics)
● Supervision og seminar reports (Department of Economics and Business Economics)
2016:
● Topics in Data Analysis (Department of Mathematics)
● Quantitative Modelling within Transportation and Distribution (Department of Economics and Business Economics)
● Supervision of master's thesis (Department of Mathematics)
2015:
● Modelling and Solving Discrete Optimization Problems within Logistics (Department of Economics and Business Economics)
2011-2013:
● TA in Management Science Models (Department of Economics and Business Economics)
● TA in Calculus (Department of Mathematics)
● TA in Microeconomics 1 (Department of Mathematics)

Computer Skilles

Programming languages: C++, java, VBA, LaTeX
Software: CPLEX, LP-solve, Arena, Microsoft Office
Operating Systems: Windows, Linux Ubuntu