Rektorat Prof. Dr. rer. nat. Gabriele Gühring

• Studied mathematics and physics at the University of Tübingen from 1991 to 1996
• Dissertation from 1997 to 1999 in mathematics on: "Asymptotic Properties of Nonautonomous Evolution Equations and Nonautonomous Retarded Differential Equations"
• 2002 to 2004, part-time master's degree at the University of Oxford in Mathematical Finance
• 2000 Analyst at Landesbank Baden-Württemberg in the Bond Research/Economics department
• January 2001 to June 2002 Consultant at Arthur Andersen in the area of ​​“Financial and Commodity Risk Consulting”
• Consultant at d-fine GmbH since July 2002, from 2006 to 2012 as manager, areas of work:
  • Risk controlling
  • Risk management
  • Trading systems
• Professor in the Faculty of Basic Sciences at Esslingen University since March 2008
• Professor in the Faculty of Computer Science and Information Technology at Esslingen University since March 2021
• Vice President for Research and Transfer at Esslingen University of Applied Sciences since September 2022

Mazhar K. A., Brodtbeck M., Gühring G. S., Similarity learning of product descriptions and images using multimodal neural networks, Natural Language Processing Journal, vol. 4, (2023). https://doi.org/10.1016/j.nlp.2023.100029 

Braun Josua, Brenner Alex, Gühring, Gabriele,Anomaly detection for parabolic trough power plants with density-based outlierness, Conference Paper, January 2023, THE INTERNATIONAL CONFERENCE ON BATTERY FOR RENEWABLE ENERGY AND ELECTRIC VEHICLES (ICB-REV) 2022, AIP Conf. Proc., https://doi.org/10.1063/5.0149735 

Falzone Simone, Münster Tobias, Gühring Gabriel, Measuring similary for technical product descriptions with a character-level siamese neural networks, Conference Paper, August 2023, MPC-Workshop, https://www.mpc-gruppe.de/typo8/fileadmin/content/workshops-volums/MPC_064_01_Falzone_Muenster_Guehring.pdf 

Lehmann M. L., Mair D. P., Gühring G. S., Danger Detection for Cyclists with Machine Learning (in the City of Copenhagen), International Journal for Traffic and Transport Engineering (IJTTE) (2022). http://dx.doi.org/10.7708/ijtte2022.12(2).09 

Bäßler D., Kortus T., Gühring G. S., Unsupervised anomaly detection in multivariate time series with online evolving spiking neural networks, Machine Learning (2022). https://doi.org/10.1007/s10994-022-06129-4 

Tobias Kortus, Thilo Krüger, Gabriele Gühring and Kornelius Lente, Automated Robust Interpretation ofIntraoperative Electrophysiological Signals –A Bayesian Deep Learning Approach, Current Directions in Biomedical Engineering 7 (2),  2021 p. 69 -72, https://doi.org/10.1515/cdbme-2021-2018 

Erz M., Kielman J. F., Uzun B. S., and Gühring G. S., Anomaly detection in multidimensional time series— A graph-based approach, J. of Phys. Complexity, 2021, https://doi.org/10.1088/2632-072X/ac392c 

Hartung, J., Gühring, G., Licht, V. et al. Comparing multidimensional sensor data from vehicle fleets with methods of sequential data mining. SN Appl. Sci. 2, 709 (2020). https://doi.org/10.1007/s42452-020-2470-4 

Gühring, Gabriele; Baum, Caspar; Kleschew, Anastasia; Schmid, Daniel; "Anomalie Erkennung".
atp magazin, [S.l.], v. 61, n. 5, p. 66-73, mai 2019. ISSN 2364-3137.

Gühring, Gabriele; Hahn, Jakob; Tritschler, Markus. "Monitoring und Betriebsoptimierung mit
statistischer Prozesskontrolle". Heizung, Lüftung, Haustechnik, September 2014, S. 20-26.

Gühring, Gabriele; Räbiger, Frank; Schnaubelt, Roland; "A Characteristic Equation for Non-
Autonomous Partial Functional Differential Equations", Journal of Differential Equations 181, 2002, pp. 439-462

Gühring, Gabriele; Räbiger, Frank; Ruess, Wolfgang; "Linearized Stability for Semilinear Non-
Autonomous Evolution Equations with Applications to Retarded Differential Equations", Differential and Integral Equations, Vol 13 (4-6), April-June 2000, pp. 503-527

Desch Wolfgang; Gühring, Gabriele; Györi, Istvan; "Stability of Nonautonomous Delay Equations with a Positive Fundamental Solution", Tübinger Berichte zur Funktionalanalysis, 9, 1999/2000, pp. 125-139

Gühring, Gabriele; Räbiger, Frank; "Asymptotic Properties of Mild Solutions of Non-Autonomous Evolution Equations with Applications to Retarded Differential Equations", Abstract and Applied Analysis, Volume 4:3, 1999, pp. 169-194

• Anomaliy Dection via Machine Learning and AI (vgl. https://doi.org/10.1007/s10994-022-06129-4 )
• Multimodal Machine Learning (vgl. https://doi.org/10.1016/j.nlp.2023.100029 )
• Anonymisation  of Mobility Data (vgl. https://www.forschung-it-sicherheit-kommunikationssysteme.de/projekte/anomob )