Prof. Martin Glanzer, Ph.D.
Assitant Professor of Operations Management
Main fields of research
- Risk-averse Stochastic Optimization
- Distributionally Robust Optimization
- Revenue Management
- Sustainable Operations Management
Curriculum vitae
| 2021–2023 | Postdoc: Universität Zürich (Schweiz) |
| 2022–2022 | Visiting Scholar: UCLA Anderson School of Management (Los Angeles, CA, USA) |
| 2016–2019 | Doktoratsstudium: Universität Wien (Österreich), Ph.D. |
| 2019 | Visiting PhD student: University of Chicago Booth School of Business |
| 2012–2014 | Master Studium Finanz- und Versicherungsmathematik (TU Graz, Österreich), Dipl.-Ing. |
| 2008–2012 | Bachelor Studium Technische Mathematik (TU Graz, Österreich), B.Sc. |
| 2015–2020 | Risikomanagement einer österreichischen Investmentbank |
Selected publications
- Barz, C. and Glanzer, M. (2022). Approximate dynamic programming: linear programming-based approaches. In Encyclopedia of optimization (S. 1–6). Cham: Springer.