Time Series Intelligence

The goal of the Time Series Intelligence (TSI) chair is to use machine learning and artificial intelligence techniques to analyze the complex temporal patterns that can be harnessed to uncover valuable insights, make accurate predictions, and facilitate informed decision-making across a wide range of domains such as radar-based systems, biomedical signals, sensor data, and energy system-based signals. The members of TSI collaborate to address fundamental challenges in time series analysis/signal processing and develop innovative solutions for forecasting and prediction in practical applications, pattern recognition to detect anomalous behavior, classify patterns, and understand their underlying causes, and applying our research findings to real-world problems by working with experts in fields such as healthcare and energy systems to address complex challenges and contribute to advancements in those domains.