Research output per year
Research output per year
Personal profile
Personal information
Maryam Karimi Mamaghan is a tenured Assistant Professor of Operations Management and Machine Learning in the department of Operations Analytics at VU Amsterdam. Maryam obtained her PhD in Computer Science, with a specialization in Operations Research, from IMT Atlantique, France, in 2022. Her interdisciplinary expertise lies in addressing complex optimization problems, especially in healthcare, through algorithmic and analytical tools.
Research
Maryam’s research focuses on developing intelligent decision-support methods for healthcare operations. In doing so, she leverages tools from operations research and machine learning to target key challenges in healthcare, such as resource scarcity, operational uncertainty, patient flow, and the need for more personalized and efficient care delivery. Her work is strongly application-driven and involves active collaboration with hospitals, healthcare organizations, and other stakeholders to design methods that respond to real operational needs.
Teaching
Maryam teaches across bachelor’s, (research) master’s, and executive education levels. Her teaching profile focuses on operations research, artificial intelligence, and data analytics. In her teaching, she helps students understand how analytical and AI-based methods can be used to solve real optimization problems. She obtained her University Teaching Qualification, BKO, in May 2024.
Ancillary activities
No ancillary activities
Ancillary activities are updated daily
Academic qualification
Computer Science, PhD, Hybridizing metaheuristics with machine learning for combinatorial optimization, IMT Atlantique
1 Sept 2019 → 31 Jul 2022
Award Date: 31 Jul 2022
User created Keywords
- Healthcare operations
- Resource allocation
- Operations research
- Artificial intelligence
- gezondheidszorgsystemen
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Heterogeneous joint vaccine allocation and quarantine restriction planning under uncertainty: The COVID-19 pandemic
Mohammadi, M., Asgari, E., Mamaghan, M. K., Pirayesh, A. & van Woensel, T., Oct 2024, In: Omega (United Kingdom). 128, p. 1-21 21 p., 103133.Research output: Contribution to Journal › Article › Academic › peer-review
Open Access -
Learning to select operators in meta-heuristics: An integration of Q-learning into the iterated greedy algorithm for the permutation flowshop scheduling problem
Karimi-Mamaghan, M., Mohammadi, M., Pasdeloup, B. & Meyer, P., 1 Feb 2023, In: European Journal of Operational Research. 304, 3, p. 1296-1330 35 p.Research output: Contribution to Journal › Article › Academic › peer-review
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Machine learning at the service of meta-heuristics for solving combinatorial optimization problems: A state-of-the-art
Karimi-Mamaghan, M., Mohammadi, M., Meyer, P., Karimi-Mamaghan, A. M. & Talbi, E.-G., 16 Jan 2022, In: European Journal of Operational Research. 296, 2, p. 393-422Research output: Contribution to Journal › Review article › Academic › peer-review
Open Access -
Capacitated location routing problem with simultaneous pickup and delivery under the risk of disruption
Dehghan, M., Hejazi, S. R., Karimi-Mamaghan, M., Mohammadi, M. & Pirayesh, A., Jun 2021, In: RAIRO - Operations Research. 55, 3, p. 1371-1390 20 p.Research output: Contribution to Journal › Article › Academic › peer-review
Open Access -
A Learning-Based Iterated Local Search Algorithm for Solving the Traveling Salesman Problem
Karimi-Mamaghan, M., Pasdeloup, B., Mohammadi, M. & Meyer, P., 2021, Optimization and Learning: 4th International Conference, OLA 2021, Catania, Italy, June 21-23, 2021, Proceedings. Dorronsoro, B., Ruiz, P., Amodeo, L. & Pavone, M. (eds.). Springer Science and Business Media Deutschland GmbH, p. 45-61 17 p. (Communications in Computer and Information Science; vol. 1443).Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review
Courses
Projects
- 1 Active
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NWO Veni: Advanced data-driven methods for personalized healthcare resource allocation
Karimi Mamaghan, M. (Principal Investigator)
1/01/26 → 31/12/28
Project: Research
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Annals of Operations Research (Journal)
Karimi Mamaghan, M. (Reviewer)
2024 → …Activity: Peer review and Editorial work › Peer review › Academic
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Artificial Intelligence Review (Journal)
Karimi Mamaghan, M. (Reviewer)
2022 → …Activity: Peer review and Editorial work › Peer review › Academic
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Computers and Operations Research (Journal)
Karimi Mamaghan, M. (Reviewer)
2022 → …Activity: Peer review and Editorial work › Peer review › Academic
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WISDOM: Women In Society Doing Operational Research (External organisation)
Karimi Mamaghan, M. (Member)
2022 → …Activity: Membership › Academic
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European Journal of Operational Research (Journal)
Karimi Mamaghan, M. (Reviewer)
2021 → …Activity: Peer review and Editorial work › Peer review › Academic
Prizes / Grants
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Veni NWO Grant: Advanced Data-driven Methods for Personalized Healthcare Resource Allocation
Karimi Mamaghan, M. (Recipient), 30 Jun 2025
Prize / Grant: Grant › Academic
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Young Woman for Operations Research (YW4OR)
Karimi Mamaghan, M. (Recipient), 2022
Prize / Grant: Prize › Academic