Organized several tutorials and workshops at major data mining, database, and machine learning conferences; edited a special issue for the Machine Learning Journal; initiated and coordinated various education programs including M.Sc. program, PhD programs, and executive education programs for industry.
Research Experience
Chair of Data Science and Data Engineering at TU Dortmund; Principal Investigator at LAMARR Institute for Machine Learning and Artificial Intelligence; Founding Director of RC-Trust.AI Research Center for Trustworthy Data Science and Security.
Background
Research interests include data mining, machine learning, scalable algorithms, and interactive exploration for high dimensional data, complex graphs, time series, and data streams. Leads and contributes to several open-source initiatives enabling repeatability and comparability for the research community.
Miscellany
Actively hiring PhD students interested in representation learning on complex data, explainable and trustworthy anomaly detection, verifiable predictive analytics; also open for PostDoc positions within the areas of representation learning, anomaly detection, predictive analytics, and explainable machine learning.