
Dr. Jennifer Hannig
Wilhelm-Leuschner-Str. 13, B2.0.09
61169 Friedberg
Werdegang
- Seit 2024: Nachwuchsgruppenleiterin, Technische Hochschule Mittelhessen University of Applied Sciences, Kompetenzzentrum für Informationstechnologie (KITE), Arbeitsgruppe TimeXAI – Explainable Artificial Intelligence for Time Series Classification, Friedberg
- Seit 2018: Postdoktorandin, Technische Hochschule Mittelhessen ‑ University of Applied Sciences, Kompetenzzentrum für Informationstechnologie (KITE), Arbeitsgruppe Cognitive Information Systems, Friedberg
- 2013 – 2018: Wissenschaftliche Mitarbeiterin, Johann Wolfgang Goethe‑Universität Frankfurt a. M., Fachbereich Informatik und Mathematik, Molekulare Bioinformatik, Frankfurt am Main
Publikationen
- Nils Gumpfer, Jochua Prim, Till Keller, Bernhard Seeger, Michael Guckert, Jennifer Hannig. SIGNed explanations: Unveiling relevant features by reducing bias. Information Fusion, 101883. 2023. https://doi.org/10.1016/j.inffus.2023.101883
- Michael Guckert, Kristina Milanovic, Jennifer Hannig, David Simon, Tamara Wettengl, Daniel Evers, Arnd Kleyer, Till Keller, Jeremy Pitt. The disruption of trust in the digital transformation leading to health 4.0. Frontiers in Digital Health, 4, 2022. https://doi.org/10.3389/fdgth.2022.815573.
- Jana Holznigenkemper, Jennifer Hannig, Jan‑Niklas Keiner, Bernhard Seeger, Michael Guckert. Robust shipping date predictions in manufacturing using high‑level Petri nets. International Journal of Modelling and Simulation, 42 (3):464–484, 2022. https://doi.org/10.1080/02286203.2021.1931770.
- Leonie Amstein, Jörg Ackermann, Jennifer Hannig, Ivan Dikic, Simone Fulda, and Ina Koch. Mathematical modeling of the molecular switch of TNFR1‑mediated signaling pathways applying Petri net formalism and in silico knockout analysis. PLOS Computational Biology, 18(8):e1010383, 2022. https://doi.org/10.1371/journal.pcbi.1010383. Impact Factor: 4.475
- Michael Guckert, Nils Gumpfer, Jennifer Hannig, Till Keller, and Neil Urquhart. A conceptual framework for establishing trust in real world intelligent systems. Cognitive Systems Research, 68:143–155, 2021. https://doi.org/10.1016/j.cogsys.2021.04.001.
- Nils Gumpfer, Dimitri Grün, Jennifer Hannig, Till Keller, Michael Guckert. Detecting myocardial scar using electrocardiogram data and deep neural networks. Biological Chemistry, 402(8):911–923, 2021. https://doi.org/10.1515/hsz-2020-0169.
- Dimitri Grün, Felix Rudolph, Nils Gumpfer, Jennifer Hannig, Laura K Elsner, Beatrice von Jeinsen, Christian W Hamm, Andreas Rieth, Michael Guckert, Till Keller. Identifying heart failure in ECG data with artificial intelligence—a meta‑analysis. Frontiers in Digital Health, 2:584555, 2021. https://doi.org/10.3389/fdgth.2020.584555
Forschungsgebiete
- Explainable AI, Künstliche Intelligenz, Mathematische Modellierung