M.Sc. Abrar Ahmed

Arbeitsschwerpunkte

Forschungsinteressen

  • Deep Learning
  • Reinforcement Learning
  • Computational Statistics

Wissenschaftlicher Werdegang

seit 2021Promotion an der Universität Trier
Thema der Doktorarbeit: Use of Big Data in Official Statistics
2021

M.Sc. in Applied Statistics;
Masterarbeit: Use of Big Data in Official Statistics

2016B.Sc. in Applied Statistics

Lebenslauf

2020Praktikum (Statistisches Bundesamt)
2018-2021M.Sc. in Applied Statistics (Universität Trier)
2018Data Scientist (Robi Axiata Limited)
2017Wissenschaftlicher Mitarbeiter (Child Health Research Foundation)
2013-2016B.Sc. in Applied Statistics (Universität of Dhaka)
2013-2014Redakteur (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.