Scholar
Nina Hubig
Google Scholar ID: MmQBDlwAAAAJ
Assistant Professor, Interdisciplinary Transformation University Linz IT:U
Citations & Impact
Citations
433
H-index
11
i10-index
12
Publications
20
Co-authors
12
list available
Contact
Publications
Resume (English only)
Academic Achievements
- 1. Her research group at IT:U focuses on creating AI models that are not only innovative but also interpretable and ethically sound.
- 2. In her recent inaugural lecture, she highlighted the critical role of explainable AI in mental health care.
- 3. Research includes using AI to predict intervention success based on patient data, assessing mental health through speech and facial analysis, enhancing AI's ability to explain medical procedures in telehealth settings, and collaborating on research that enhances AI's understanding of brain function.
Research Experience
- 1. Worked for five years at Clemson University’s School of Computing and Biomedical Data Science Program, integrating deep learning models into practical systems like real-time flood detection and biomedical applications.
- 2. Continues to drive innovation at IT:U, mentoring projects that bridge AI with medical text processing and natural language understanding.
Education
- Ph.D. from Technical University of Munich, with a focus on AI transparency in critical applications such as medical data processing and social network analysis.
Background
- Research Interests: Explainable Artificial Intelligence, Mental Health and AI, Medical Decision Support Systems. Professional Field: Transparency and Ethical Design of AI. Brief Introduction: Assistant Professor at IT - Interdisciplinary Transformation University Austria, focusing on developing transparent and trustworthy AI systems, particularly in the context of mental health.
Miscellany
- Personal Philosophy: Shaping the future with disruptive technology and awakened minds.
