Pre- and Postdocs
In addition to the more than 20 professorships related to AI, BaCAI includes many doctoral students and postdoctoral researchers. Here you will find researchers who are conducting research in various areas of artificial intelligence at or in close collaboration with the University of Bamberg.
Chair of Explainable Machine Learning
Reliable Uncertainty Quantification for Deep Learning Models
Chair for Fundamentals of Natural Language Processing
Multi-Modal Emotion Analysis
Chair of Cognitive Systems /
Sony AI Labs Barcelona
Neuro-symbolic learning and reasoning
Chair for AI Systems Engineering
visiting from Guanghua Law School, Zhejiang University
AI and Law
Chair for Fundamentals of Natural Language Processing
Uncertainty in Affective Meaning
Chair of Explainable Machine Learning
Robust, Interpretable, and Efficient Machine Learning
Chair of Explainable Machine Learning
Mitigating Data and Acquisition Bias in Medical Images to Enhance the Robustness and Generalizability of Deep Learning Algorithms
Chair for AI Engineering in Companies
Social impact assessment of the use of generative AI in relation to misinformation
An XAI Framework for Human-Guided Explanation in Complex Knowledge Domains
Chair for AI Systems Engineering
Universal Logic in and for AI
Information Systems and Energy Efficient Systems
Methods, Mechanisms, and Real-World Effects of Explainable AI-based Decision Support
Chair of Information Systems and Social Networks
Understanding and Managing Human-AI Interaction: Ethical Considerations
Chair for AI Systems Engineering
Trustworthy Citizen Participation in Smart Cities
Chair of Information Systems and Social Networks
Understanding culture and identities in online communities: Societal dynamics and implications
Information Systems and Energy Efficient Systems
Machine learning value creation in organizations; Decision support using (explainable) machine learning methods; Data science workforce
Chair for Fundamentals of Natural Language Processing
The Interplay of Emotions and Convincingness in Argument Mining for NLP
Chair of Computer Graphics and its Foundations
Motion Data and Privacy in VR
Explainable Artificial Intelligence on Time Series Data
Klaus Knoll
Combining knowledge modeling and machine learning for quality root cause analysis in industrial production
Abstract Visual Reasoning
Chair of Information Systems, esp. AI Engineering in Companies
Reduction of people's rejection of technologies, especially AI-based systems
Chair of Personality and Assessment
Use of AI-generated facial stimuli to analyze distortion effects in person perception
Chair of Information Systems, esp. AI Engineering in Companies
Using AI to detect hate messages and combat fake news
Chair for Fundamentals of Natural Language Processing
Interactive Prompt Optimization with the Human in the Loop for Natural Language Understanding Model Development and Intervention (INPROMPT)
Chair of Cognitive Systems / Continental
xAI for Safety: Understanding and adapting deep learning models for computer vision tasks
Chair for Fundamentals of Natural Language Processing
Constrained Generation from Autoregressive Models (LLMs)
Chair for Fundamentals of Natural Language Processing
Natural Language Processing to Identify Speech and Language Characteristics in Individuals with Autism
Chair for Information Visualization
Comparative and Collaborative Visual Analysis of Clustering and Co-clustering Ensembles
Relational Explanations for Visual Domains: A Neural-symbolic Approach Combining ILP and CNNs
Chair of Explainable Machine Learning
Towards Robust Neural Networks for Affect Recognition: Leveraging Domain Knowledge in Data Preprocessing, Model Training, and Evaluation
Chair of Information Systems, esp. AI Engineering in Companies
Polarization on social media, esp. using social media analytics and AI to investigate social phenomena
Chair of Personality and Assessment
Analysis of response bias in psychological diagnostics
Chair for Fundamentals of Natural Language Processing
Prompt Learning for Emotion Analysis of Event Chains
Chair of Cognitive Systems / BMW
Comprehensible time series forecasting using Knowledge Graphs: From Market Research and Event Data Modeling to Explainable Clustering and Forecasting
Enhancing Explanatory Interactive Machine Learning – A Generalization of the CAIPI Algorithm
Chair for AI Systems Engineering
Automated Content Moderation using Hybrid AI Systems
Utilizing Interactive Multi Modal Machine Learning for Forest Inventory and Tree Vitality Assessment
Natural Language Generation and Dialogue Systems Group
Cooperative Multi-User Conversational Agents
Chair for Fundamentals of Natural Language Processing
Natural Language Processing, esp. domain adaptation, multilinguality and robustness
Interactive and Explainable Machine Learning on Knowledge Graphs