Oliver Niggemann
Scholar

Oliver Niggemann

Google Scholar ID: RLEd5GgAAAAJ
Helmut-Schmidt-Universität / Universität der Bundeswehr Hamburg
Artificial IntelligenceMachine LearningAutomationDiagnosisProduction
Citations & Impact
All-time
Citations
1,982
 
H-index
22
 
i10-index
64
 
Publications
20
 
Co-authors
7
list available
Resume (English only)
Academic Achievements
  • Involved in organizing academic events such as the ECAI workshop.
Research Experience
  • The research spans across computer science and mechanical engineering, with a particular focus on using advanced AI technologies to improve production processes and the design of machinery.
Background
  • Research interests include the application of machine learning methods and artificial intelligence in cyber-physical production systems. Focuses on addressing challenges such as anomaly detection, predictive maintenance, diagnosis, and optimization.