M.Sc. Abrar Ahmed
Arbeitsschwerpunkte
Forschungsinteressen
- Deep Learning
- Reinforcement Learning
- Computational Statistics
Wissenschaftlicher Werdegang
seit 2021 | Promotion an der Universität Trier Thema der Doktorarbeit: Use of Big Data in Official Statistics |
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2021 | M.Sc. in Applied Statistics; |
2016 | B.Sc. in Applied Statistics |
Lebenslauf
2020 | Praktikum (Statistisches Bundesamt) |
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2018-2021 | M.Sc. in Applied Statistics (Universität Trier) |
2018 | Data Scientist (Robi Axiata Limited) |
2017 | Wissenschaftlicher Mitarbeiter (Child Health Research Foundation) |
2013-2016 | B.Sc. in Applied Statistics (Universität of Dhaka) |
2013-2014 | Redakteur (Sidetackle) |
Publikationen
Ahmed, A., Articus, C., Ertz, F., Münnich, R., Schmaus, S., Shlomo, N., & Weymeirsch, J. (2021): Overview report on the generation of synthetic universes for microsimulations. Utility and confidentiality of synthetically generated data sets, Deliverable D12.6, Leuven, InGRID-2 project 730998 – H2020.