Personal profile
Research profile
Alex is a researcher in the applied mathematics field of operations research whose work bridges human decision-making and autonomous systems. Specializing in multi-criteria decision-making and preference-based optimization, he develops methods to align automated platforms—such as satellites and drones—with the needs of decision-makers. His research supports critical missions from disaster response to smart city operations, with a focus on making advanced space and drone technologies more accessible and impactful for society, particularly in smaller nations like Denmark.
Education/Academic qualification
Operations Research, Ph.D., MCDM in complex decision environments
1 Jan 2020 → 15 Sept 2023
Award Date: 15 Sept 2023
MSc in math and economics (operations research)
2017 → 2019
BSc in math and economics
2014 → 2017
Keywords
- Mathematics and Statistics
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 12 Responsible Consumption and Production -
SDG 13 Climate Action -
SDG 16 Peace, Justice and Strong Institutions
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Collaborations from the last five years
Research output
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Adaptive artificial potential field method for small autonomous vehicles
Kilic, K. I., Desoeuvres, A., Pedersen, C. B., Vasegaard, A. E. & Nielsen, P., Apr 2026, In: Robotics and Autonomous Systems. 198, 16 p., 105364.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile1 Link opens in a new tab Citation (Scopus)1 Downloads (Pure) -
The Value of Information in Automated Sorting: Leveraging Look-Ahead in Multi-Conveyor Systems with Articulated Robotics for Pick and Place
Ladefoged, M. B., Larsen, A. K., Vasegaard, A. E. & Nielsen, P., 18 Feb 2026, (Accepted/In press) In: Journal of Industrial and Production Engineering. 35 p.Research output: Contribution to journal › Journal article › Research › peer-review
Open Access -
A Cost-Aware Deep Learning Framework for Gearbox Fault Detection in Wind Turbines
Larsen, M. L., Frederiksen, R. D., Vasegaard, A. E. & Nielsen, P., 27 Dec 2025, In: Energies. 19, 1, 149.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile3 Downloads (Pure) -
Barrier Coverage for Drone Detection Systems using Heterogeneous Sensor Network
Ladefoged, M. B., Larsen, A. K. & Vasegaard, A. E., 30 Jun 2025. 2 p.Research output: Contribution to conference without publisher/journal › Conference abstract for conference › Research › peer-review
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Improving Robot Batching Models through Gradient Boosting Machines
Neshamar, A., Vasegaard, A. E., Andersen, R. S. & Nielsen, P., 2025, In: IFAC-PapersOnLine. 59, 24, p. 1-6 6 p.Research output: Contribution to journal › Conference article in Journal › Research › peer-review
Open AccessFile5 Downloads (Pure)
Prizes
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