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M.Sc. Violeta Teodora Trifunov

Research Associate
Violeta Teodora Trifunov


Address: Computer Vision Group
Department of Mathematics and Computer Science
Friedrich Schiller University of Jena
Ernst-Abbe-Platz 2
07743 Jena
Phone: (+49) 3641 9 46414
Room: 1212

Curriculum Vitæ

since 9.2017. PhD student
Computer Vision Group, Friedrich Schiller University Jena
Climate Informatics Group, German Aerospace Center (DLR), Institute for Data Science, Jena
Research topic: "Deep graphical models and domain knowledge integration"
2015 - 2017 M.Sc. in Mathematics
Reinische-Friedrich-Wilhelms University Bonn
Master Thesis: "Endomorphism Algebras of Generators-Cogenerators Associated with the Cartan Matrix"
2012 - 2015 B.Sc. in Mathematics
University of Novi Sad

Research interests

  • Deep Learning
  • Causal Graphical Models
  • Knowledge Integration
  • Causality
  • Anomaly Detection
  • Climate Informatics


Deep graphical models and domain knowledge integration

Climate data has been vastly accumulated over the past several years, making climate science one of the most data-rich domains. Despite the abundance of data to process, data science has not had a lot of impact on climate research so far, partly due to the fact that ample expert knowledge is rarely exploited. The main goal of this project is bridging the gap between deep learning and causal graphical models while using domain knowledge which could prove to be of significant importance for facilitating an understanding of the Earth system. We aim to develop a sequential version of the Causal Effect Variational Auto-Encoder (CEVAE) and apply it to time series of ecological or climate variables having suitable underlying causal graph structure. When this is accomplished, we intend to apply our method to time series anomaly detection, as well as to variables having more general causal structures.