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PH.D. · ASSISTANT PROFESSOR · TEACHING ACADEMY FELLOW
Dr. HelgaIngimundardóttir
I apply AI and optimisation to real-world industrial problems — and teach engineering students to do the same.
I am an Assistant Professor in the Faculty of Industrial Engineering, Mechanical Engineering and Computer Science at the University of Iceland. My research sits at the intersection of machine learning and optimisation: how to learn good decision rules from data instead of hand-crafting them. Before academia I spent a decade in industry — deCODE genetics, CCP Games, Travelshift, AGR Dynamics and Valka — and that experience shapes how I teach: real data, real stakeholders, real uncertainty.
RESEARCH PUBLISHED IN
- Nature Genetics
- Genome Biology
- Journal of Scheduling
- Heat Transfer Engineering
- Springer LNCS
- CDIO
SPECIALITY
- Optimization
- Mathematical modeling
- Data science
- Artificial intelligence
- Business intelligence
- Computational intelligence
Publications
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2026
Using Pull Requests to Make Collaboration Visible in CDIO Project-Based Courses
Proceedings of the 22nd International CDIO Conference, pp. 296 – 305, 2026
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2026
Designing Authentic Industry-Engaged Assessment for Professional Competence in Business Intelligence
Proceedings of the 22nd International CDIO Conference, pp. 211 – 220, 2026
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2026
A Scalable Matheuristic for Routing Capacity-Constrained Groundfish Surveys
Learning and Intelligent Optimization. LION 2026, Springer International Publishing, 2026, Accepted
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2024
Evolving Submodels for Column Generation in Cutting and Packing for Glulam Production
2024 IEEE Congress on Evolutionary Computation (CEC), IEEE, 2024
Talks and outreach
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2025
HiDef Textiles: Reviving Tradition with Innovation
Reykjavík DataBeers, 25 January 2025
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2024
An autonomous knitting machine in the making
Morgunblaðið, Reykjavík
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2024
Software development and people
The Icelandic Computer Society (SKÝ)
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2023
Pushing Boundaries: A Data-Driven Dive into The Legend of the Ice People
Advania Autumn Conference, Harpa, Reykjavík