Projects per year
Personal profile
Research profile
Professor Izabela Ewa Nielsen’s research focuses primary on applying operations research methods to enhance decision-making across sectors such as manufacturing, healthcare, supply chain management, and transportation. Through advanced problem modeling, optimization, artificial intelligence (AI), and solution development, she addresses complex real-world challenges involving uncertain or stochastic events.
In healthcare, her research aims to improve clinical outcomes in hematological and oncological malignancies by leveraging predictive biomarkers and developing validation frameworks for decision support tools used in clinical screening and prediction. The research utilizes advanced AI methods on real-world datasets to develop adaptive tools for personalized treatment. This work is carried out in collaboration with national and international clinical research centers and hospitals. She has e.g. been PI on projects with Novo Nordisk and EU, and PI from AAU on a project with Sygeforsikring Denmark. Professor Nielsen strongly values multidisciplinary collaboration, bridging academic research with real-world applications through cross-disciplinary projects and fostering strong partnerships with industry and clinical stakeholders to drive meaningful impact.
Professor Nielsen has a great interest in the mission “individualization and digital health” by making AI-driven patient stratification, digital health platforms for clinical decision-making, adaptive screening and monitoring tools, and by personalize treatment planning.
In addition to her research, Professor Nielsen serves as Vice-Chair of Danish Academy of Technical Sciences (ATV): Steering Group - Life Science Technology, WG2: Automation and healthcare productivity improvements and WG3: AI in healthcare support.
She is also a member of the strategic AAU Health Mission platform, which aims to strengthen coherence across sectors, provide individualized treatment, and support patients in managing illnesses. The platform develops technologies that consolidate patient data, enhances decision-support technology for tailored treatment and provides digital tools for daily health management. Furthermore, Izabela Nielsen is a Member of the Steering Committee for Health Data Science Network (SUND AAU).
Education/Academic qualification
Warsaw University of Technology
… → 25 Oct 2025
Award Date: 25 Oct 2005
Fingerprint
- 1 Similar Profiles
Collaborations from the last five years
-
AI-based clinical decision-support tool for fast risk stratification of febrile neutropenia
Nielsen, I. E. (PI) & Fuglkjær, A. D. (Project Participant)
01/08/2023 → 31/07/2029
Project: Research
-
AI-HEMO: Development of an artificial intelligence-based methodology for hemoglobinopathy screening in low income countries
Nielsen, I. E. (PI) & Christensen, F. (Project Participant)
01/04/2023 → 31/03/2027
Project: Research
-
Data management and analysis within lymphoma disease and development of prognostic models.
Nielsen, I. E. (PI)
01/01/2023 → 31/12/2027
Project: Research
-
Examination of EU classification methods in the field of health statistics and the use of artificial intelligence methods to increase data quality
Nielsen, I. E. (Supervisor) & Kilic, D. A. (Project Participant)
15/09/2022 → 14/09/2023
Project: Research
-
Research output
-
Machine Learning‐Based Detection of HbS and HbC Carriers in the UK General Population
Christensen, F., Kılıç, D. K., Fuglkjær, A. D., Petersen, J., El‐Galaly, T. C., Glenthøj, A., Helby, J. & Nielsen, I. E., Feb 2026, In: EJHaem. 7, 1Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile -
A multi-objective sustainable multipath delivery problem in hilly regions with customer-satisfaction using TLBO
Maji, S., Maity, S., Nielsen, I. E., Giri, D. & Maiti, M., May 2025, In: Applied Soft Computing. 176, 21 p., 113100.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile4 Downloads (Pure) -
Automation and healthcare productivity improvements
Rasmussen, J., Nielsen, I. E., Al-Kohali, K. A. H., Matthiesen, R. V. (Member of study group), Dukovska-Popovska, I. (Member of study group) & Larsen, K. G. (Member of study group), Sept 2025, Better Living: World-Class Health in Denmark by Smart Use of Data and Technology. Akademiet for de Tekniske Videnskaber, p. 23-30 8 p.Research output: Contribution to book/anthology/report/conference proceeding › Report chapter › Communication
Open Access -
Classification of α-thalassemia data using machine learning models
Christensen, F., Kılıç, D. K., Nielsen, I. E., El-Galaly, T. C., Glenthøj, A., Helby, J., Frederiksen, H., Möller, S. & Fuglkjær, A. D., Mar 2025, In: Computer Methods and Programs in Biomedicine. 260, 20 p., 108581.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile4 Citations (Scopus)157 Downloads (Pure) -
Comparative study of feature extraction methods for automated ICD code classification using MIMIC-III medical notes and deep learning models
Aydoğan Kılıç, D., Kılıç, D. K. & Nielsen, I. E., 30 Jun 2025, In: Mathematical Modelling and Numerical Simulation with Applications. 5, 2, p. 421-450 30 p.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile2 Downloads (Pure)
Press/Media
-
AAU research forms the basis for a new white paper on the path toward a healthier Denmark
11/11/2025
1 item of Media coverage
Press/Media: Press / Media
-
Kunstig intelligens: ”Hvis min kræftknude var opdaget fire år før”
20/06/2024
1 item of Media coverage
Press/Media: Press / Media
-
Professorer i fint selskab
Andersen, O. K., Christensen, M. G., Kolmos, A., Kørnøv, L., Mathiesen, B. V., Nielsen, I. E., Popovski, P., Rees, S. E. & Johansen, P. M.
05/05/2017
1 item of Media coverage
Press/Media: Press / Media
-
Otte nye AAU-medlemmer af videnskabeligt akademi
Andersen, O. K., Christensen, M. G., Kolmos, A., Kørnøv, L., Mathiesen, B. V., Nielsen, I. E., Popovski, P., Rees, S. E. & Johansen, P. M.
27/04/2017
2 items of Media coverage
Press/Media: Press / Media
-