Smart City / Smart Mobility

• Predicting Traffic Incident Risk using Public Accident statistics
• Travel Time Prediction Using Machine Learning and Simulation Data
• Learning Optimal Pricing Policies for Parking Garages

Explainable and Fair Machine Learning

• Extracting Causal Models from Module Handbooks for Explainable Student Success Prediction
• Analyzing and Improving Blackbox Explanation Methods for Learning Analytics
• Investigating negative Rules in modern Graph Neural Networks for Knowledge Graph Completion (PyTorch required)
• Visualization of Prediction Uncertainty in a Smart City Context
• Evaluating AI-based Pricing Policies Using Social Simulation in SUMO

Human Activity and Goal Recognition

• Reinforcement Learning for Goal Recognition
• Improving Human Activity recognition with Object Occurrence Statistics from Videos
• Automatic identification of activities and their relations in text
• Smart-Phone based Emotion Extraction from Audio Data in Psychological Studies