Emmanuel Müller
Scholar

Emmanuel Müller

Google Scholar ID: gg0HkEsAAAAJ
Professor of Computer Science, Technical University of Dortmund
Data MiningMachine LearningData ExplorationDatabases
Citations & Impact
All-time
Citations
6,777
 
H-index
22
 
i10-index
42
 
Publications
20
 
Co-authors
33
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • 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.