Jennifer Hannig

Prof. Dr. Jennifer Hannig is a leading researcher in Explainable Artificial Intelligence (XAI) and computational biology at the Technical University of Mittelhessen's KITE Competence Center. Her work bridges AI transparency with applications in cardiology, digital pathology, and smart home technologies, focusing on interpretable algorithms for safety-critical domains.

• Junior Research Group Leader, TimeXAI project (2024-2027, €1.09M)
• Collaborations with Kerckhoff Clinic, CRS medical GmbH, and Veli GmbH
• Member of good scientific practice committee
• Mentor at Mentoring Hessen and AI Grid initiative

Research Focus:
Developing human-understandable XAI methods for time series classification, particularly in cardiovascular diagnostics and smart home monitoring. Her approach combines mathematical modeling (Petri nets) with deep learning to ensure reliable AI decision-making.

Scientific Contributions:
Key publications in PLOS Computational Biology, Frontiers in Digital Health, and Bioinformatics, with h-index of 8. Developed AI models for myocardial scar detection, Hodgkin lymphoma analysis, and manufacturing predictions.

• Poster Award – 1st Place (German Conference on Bioinformatics, 2013)
• ECCB 2016 Travel Award

Contact: jennifer.hannig@kite.thm.de