Research output per year
Research output per year
Personal profile
Personal information
Nanne A. Dieleman (1996) obtained her master's degree in Econometrics & Operations Research from the Vrije Universiteit in 2020 and obtained her second master's degree in Business Analytics from the Vrije Universiteit in 2021. She subsequently started an ABRI PhD position at the department of Operations Analytics at the School of Business and Economics.
Research
Nanne's research interests are:
- Stochastic Systems
- Markov Chain Theory
- Stochastic Optimisation Techniques
- Machine Learning Techniques
- Neural Networks
- Sustainability
- Health Care
She is currently focusing on analysing and optimising stochastic systems.
Teaching
Nanne has five years of teaching experience in courses such as Stochastic Systems, Queuing Theory, Academic Skills, Calculus and Probability Theory. She currently teaches courses of the Econometrics & Operations Research Bachelor and Master programmes and the International Business Administration Bachelor programme.
Ancillary activities
- WWF | het Gooi | Vrijwilliger | 2022-01-01 - present
Ancillary activities are updated daily
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):
Keywords
- QA Mathematics
- Stochasticity
- QA75 Electronic computers. Computer science
- Machine Learning
User created Keywords
- Neural Networks
- Health Care
- sustainability
- Markov Chain Theory
- Optimisation
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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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A neural network approach to performance analysis of tandem lines: The value of analytical knowledge
Dieleman, N. A., Berkhout, J. & Heidergott, B., Apr 2023, In: Computers and Operations Research. 152, p. 1-15 15 p., 106124.Research output: Contribution to Journal › Article › Academic › peer-review
Open Access -
A three-step framework for capacity planning in a nursing home context
Dieleman, N. A., Buitink, M., Bekker, R. & Moeke, D., 2023, In: Health Systems. 12, 3, p. 299-316 18 p.Research output: Contribution to Journal › Article › Academic › peer-review
Open Access -
Data-Driven Fitting of the G/G/1 Queue
Dieleman, N. A., Feb 2021, In: Journal of Systems Science and Systems Engineering. 30, 1, p. 17-28 12 p.Research output: Contribution to Journal › Article › Academic › peer-review
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Demand-Driven Task-Scheduling in a Nursing Home Setting: A Genetic Algorithm Approach
Bekker, R., Moeke, D., Dieleman, N., Buitink, M., den Uijl, J., Otsen, F., Koreman, K. & Passial, R., 16 Apr 2019, In: Logistiek+. 2019, 7, p. 72-87 16 p., 5.Research output: Contribution to Journal › Article › Professional
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Data-Driven Fitting of the M/G/1 Queue
Dieleman, N., Heidergott, B. & Peng, Y., 2019, 2019 16th International Conference on Service Systems and Service Management (ICSSSM): [Proceedings]. Institute of Electrical and Electronics Engineers Inc., 5 p. 8887609Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile52 Downloads (Pure)
Courses
Prizes
Datasets
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ELASPY
Dieleman, N. A. (Creator) & Jagtenberg, C. (Contributor), GitHub, 2024
https://github.com/NanneD/ELASPY
Dataset
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SM-SPSA
Dieleman, N. A. (Creator), Berkhout, J. (Contributor) & Heidergott, B. (Contributor), GitHub, 2024
https://github.com/NanneD/SM-SPSA
Dataset