The core research profile of the data science group is within machine learning and data mining with emphasis on sequential and temporal data mining, explainable machine learning, time series nowcasting and forecasting, natural language processing, reinforcement learning, and federated learning. Our focus application areas include healthcare, public health policies for epidemics, integrated vehicle health management, and virtual reality and immersive technologies.
Sequential and Temporal Mining
Mining complex sequential patterns
Natural language processing
Nowcasting and Forecasting
Explainable Machine Learning
Counterfactual explanations
Model explainability and Fairness
Distributed computing and optimization
Reinforcement learning
Federated learning
Machine Learning Applications
Learning from Medical Data Sources
Time series analysis for behavioral modeling
Integrated vehicle management
