Thomas Liebig
Scholar

Thomas Liebig

Google Scholar ID: s3ZpEYIAAAAJ
TU Dortmund
Data MiningSpatial Data MiningComputational Transportation SciencePrivacy Preserving Data Mining
Citations & Impact
All-time
Citations
896
 
H-index
16
 
i10-index
25
 
Publications
20
 
Co-authors
88
list available
Resume (English only)
Academic Achievements
  • Published extensively in international conferences and journals, including ECML/PKDD, IEEE Big Data, and others. Co-organized workshops such as Mining Urban Data at ICML and Computational Transportation Sciences.
Research Experience
  • Led the Data Analytics and AI department at Materna SE. Research focuses on tractable probabilistic modeling and prediction of spatio-temporal data, proactive situation-aware control, and privacy in distributed location-aware applications.
Education
  • Ph.D. in AI/ML from the University of Bonn and Fraunhofer IAIS, specialized in probabilistic modeling and pedestrian dynamics.
Background
  • Assistant Professor of Smart City Science at TU Dortmund University’s Artificial Intelligence Unit and a Principal Investigator at the Lamarr Institute for Machine Learning and Artificial Intelligence. As a senior AI architect, supports Materna SE in integrating artificial intelligence into the public sector and industry. Served as an Adjunct Data Privacy and Ethics Professor at the University of Nicosia.
Miscellany
  • Interests include: Machine Learning, Artificial Intelligence, Efficient Algorithms, Privacy-by-Design, Proactive Control, Participation and Transparency.