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dr.ing. A.B. Zander (Anne)

Assistant Professor

About Me

I work in Sequential Decision Analytics, focusing on problems with high-dimensional, discrete decision spaces from Operations Research. To solve those problems, I apply Stochastic Programming and Reinforcement Learning. I apply my knowledge to Healthcare Logistics problems such as capacity allocation during infectious outbreaks and scheduling of surgeries or appointments.

Expertise

Engineering & Materials Science
# Discrete Event Simulation
# Electricity
# Health Care
# Operations Research
# Teaching
Mathematics
# Modeling
# Queueing Model
# Waiting Time

Organisations

Publications

Recent
Buhlinger-Göpfarth, N. , Zander, A., Heckmann, I., Holzmann, T., Lauck, K., Stengel, S., Nickel, S., & Peters-Klimm, F. (2022). Zeitaufwand des Impfprozesses und der Organisation der COVID-19-Impfung in Hausarztpraxen. Zeitschrift fur Allgemeinmedizin, 98(3), 100-105. https://doi.org/10.53180/zfa.2022.0100-0105
Zander, A. (2021). Demand and Capacity Management for Medical Practices. [PhD Thesis - Research external, graduation external, Karlsruhe Institute of Technology KIT]. Karlsruhe Institute of Technology. https://doi.org/10.5445/IR/1000137945
Korzehnevich, G. , Zander, A., Nickel, S., & Schuster, M. (2021). OP-Planung – der Einsatz quantitativer Methoden zur Entscheidungsunterstützung. OP-Management up2date, 1(04), 327-339. https://doi.org/10.1055/a-1639-3848
Reuter-Oppermann, M., Kienzle, L. , Zander, A., Buchmüller, D., & Goldberg, D. (2019). Centralising the admission process in a German hospital. In T. X. Bui (Ed.), Proceedings of the 52nd Annual Hawaii International Conference on System Sciences, HICSS 2019 (pp. 4098-4106). (Proceedings of the Annual Hawaii International Conference on System Sciences; Vol. 2019-January). IEEE. http://hdl.handle.net/10125/59847

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Education

I am responsible for the Master course on Reinforcement Learning with a special focus on the ODE approach of Stochastic Approximation and how it can be applied to show the convergence of Reinforcement Learning algorithms.

In addition, I supervise Bachelor, Master and Internship students, mostly working on topics within Healthcare Logistics.

 

Affiliated Study Programmes

Master

Courses Academic Year  2023/2024

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.
 

Courses Academic Year  2022/2023

Current Projects

Contact Details

+31534893434  (if no answer)
 
 

Visiting Address

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling (building no. 11), room 4031
Hallenweg 19
7522NH  Enschede
The Netherlands

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Mailing Address

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling  4031
P.O. Box 217
7500 AE Enschede
The Netherlands

Organisations

Social Media

University of Twente Drienerlolaan 5
7522 NB Enschede
+31 (0)53 489 9111
info@utwente.nl
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