M.Sc. João Vitor Pamplona
Focus of work
Research
- Optimization and Machine Learning in Data Science and Statistics
Projects
- Optimized strategies for epidemic control in highly heterogeneous populations (OptimAgent)
Scientific career
since 2023 | Doctoral candidate at Trier University |
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2022 | M.Sc. in Numerical Methods in Engineering at the Federal University of Paraná |
2020 | B.Sc. in Mathematics at the Federal University of Santa Catarina |
Curriculum vitae
2023 | Member of the Society for Industrial and Applied Mathematics (SIAM) |
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2023 | Associated member of the graduate school Algorithmic Optimization (ALOP) |
2022 | Member of the OptimAgent research group |
2020-2022 | M.Sc. Numerical Methods in Engineering at the Federal University of Paraná |
2016-2019 | B.Sc. in Mathematics at the Federal University of Santa Catarina |
Conference presentations
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 participations
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.