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Ansgar Steland is a professor in the Institute of Statistics and Econometrics at RWTH Aachen University, specializing in stochastic processes, applied mathematical finance, and machine learning. He is an associate editor for the journal Econometrics Statistics and plays an active role in organizing conferences, including EcoSta 2026 in Kyoto, Japan. His recent research focuses on improving statistical models in business applications and practical aspects of machine learning in environmental data analysis. Steland has contributed to various collaborative projects, including those with the Bosch AI Center and TU Delft, highlighting his engagement with contemporary issues in AI and statistical modeling. He offers courses in mathematical statistics and time series analysis, mentoring students in both Bachelor and Master’s programs in Mathematics and Data Science. Steland has participated in significant research grants and has been an advocate for responsible AI practices, underscoring the importance of evaluating risks associated with artificial intelligence. His scholarly activity includes publications in respected journals, notably in the fields of econometrics and statistics, where he examines theoretical and applied dimensions of stochastic analysis and learning processes.
Includes Software Systems Engineering. GRE is mandatory for Non-EU/EEA applicants.