University of Bremen
Institute of Environmental Physics
Otto-Hahn-Allee 1, 28359 Bremen, Germany
Building NW1, office N3200
Email: diren(at)uni-bremen.de

Diren received her BSc degree in Biology and Computer Science in 2017 from the University of Bremen. She then earned her MSc in Data Intensive Analysis at the University of St Andrews, Scotland, in 2018. Returning to Bremen, she joined the Cognitive Neuroinformatics group, where she worked on time series data from honey bee colonies and pursued her PhD, completed in 2024.
From 2023 to 2026, she was part of the data department at the Alfred-Wegener Institute in Bremerhaven, where she developed software tools for research data management.
In the Polar Remote Sensing group, she works on sea ice age and drift within the ESA SAGE project, thereby contributing to the development of a new reference dataset for sea ice age.
Her research interests span anomaly detection, time series classification, data management, and citizen science.

Natalie Kille, Robert Wegener, Thorsten Kluss, Diren Senger, Carolin Johannsen, and Peter Dietrich. “Sensorik und Künstliche Intelligenz in Citizen Science”. In: Citizen Science – Gemeinsam forschen! - Ein Handbuch für Wissenschaft und Gesellschaft. Springer, 2025
link.springer.com/book/9783662697023

Diren Senger, Clemens Gruber, Thorsten Kluss, and Carolin Johannsen. “Weight, Temperature and Humidity Sensor Data of Honey Bee Colonies in Germany, 2019-2022”. In: Data in Brief (2023), p. 110015 (Data paper)
doi:https://doi.org/10.1016/j.dib.2023.110015

Diren Senger, Thomas Schweizer, Ruchi Jha, Thorsten Kluss and Michael Vellekoop. “Evaluating and Optimising Formic Acid Treatment against Varroa Mites on Honey Bees with MOx-Sensors and a Control Loop”. In: Smart Agricultural Technology (2023), p. 100342 (Original Research)
doi:https://doi.org/10.1016/j.atech.2023.100342

Diren Senger, Thorsten Kluss, and Anna Förster. “Towards a warning system for beekeepers: Detecting anomalous changes in sensor data from honey bee colonies”.
In: GI-Edition (2023), p. 15 (Original Research)
doi:10.18420/env2023-001

Diren Senger, Carolin Johannsen, and Thorsten Kluss. Anomaly detection at the apiary: predicting state and swarming preparation activity of honey bee colonies using low-cost sensor technology. In 2022 IEEE Conference on Technologies for Sustainability (SusTech), page tba. IEEE, 2022 (Original Research)
doi:10.1109/SusTech53338.2022.9794223

Carolin Johannsen, Diren Senger, and Thorsten Kluss. A digital twin of the social-ecological system urban beekeeping. In Advances and New Trends in Environmental Informatics, pages 193–207. Springer, 2021 (Original Research)
doi:10.1007/978-3-030-61969-5 14

Thomas Schweizer, Diren Senger, Carolin Johannsen, Thorsten Kluss, and Michael J Vellekoop. Supervising varroa treatment of honey bees with smart sensor systems. In MikroSystemTech- nik Congress 2021; Congress, pages 1–4. VDE, 2021 (Original Research)
https://ieeexplore.ieee.org/abstract/document/9698367

Diren Senger, Carolin Johannsen, Alexandros Melemenidis, Alexander Goncharskiy, and Thorsten Kluss. Unsupervised anomaly detection on multisensory data from honey bee colonies. In 2020 IEEE International Conference on Data Mining (ICDM), pages 1238–1243. IEEE, 2020 (Original Research)
doi:10.1109/ICDM50108.2020.00156

Carolin Johannsen, Diren Senger, and Thorsten Kluss. A diy sensor kit, gaussian processes and a multi-agent system fused into a smart beekeeping assistant. In 2020 16th International Conference on Intelligent Environments (IE), pages 92–99. IEEE, 2020 (Original Research)
doi:10.1109/IE49459.2020.9154974