M.Sc. João Vitor Pamplona
Arbeitsschwerpunkte
Forschung
- Optimization and Machine Learning in Data Science and Statistics
Projekte
- Optimierte Strategien zur Kontrolle von Epidemien in hochgradig heterogenen Populationen (OptimAgent)
Wissenschaftlicher Werdegang
| seit 2023 | Promotion an der Universität Trier |
|---|---|
| 2022 | M.Sc. in Numerical Methods in Engineering an der Federal University of Paraná |
| 2020 | B.Sc. in Mathematik an der Federal University of Santa Catarina |
Lebenslauf
| 2023 | Mitglied der Society for Industrial and Applied Mathematics (SIAM) |
|---|---|
| 2023 | Assoziiertes Mitglied des Graduiertenkollegs Algorithmic Optimization (ALOP) |
| 2022 | Mitglied der OptimAgent-Forschungsgruppe |
| 2020-2022 | Masterstudium Numerical Methods in Engineering, Federal University of Paraná |
| 2016-2019 | Bachelorstudium Mathematik, Federal University of Santa Catarina |
Vorträge
Pamplona, J. V. & Burgard, J. P.(2023): Fair Generalized Linear Mixed Models Based on Boosting. SIAM Conference on Optimization, Seattle, United States.
Pamplona, J. V. & Burgard, J. P.(2023): How to generate the German households. Modellierungsnetz für schwere Infektionskrankheiten, Berlin.
Pamplona, J. V. & Burgard, J. P.(2023): Fair Generalized Linear Mixed Models Based on Boosting. Statistische Woche, Dortmund.
Workshop-Teilnahmen
Autumn School on Model Reduction and Model Predictive Control with Differential Equations, 4-7, October 2022, Trier.
German SIAM Student Chapters Meet Algorithmic Optimization, 24-26, July 2023,Trier.
