Lucian Popa
Scholar

Lucian Popa

Google Scholar ID: 1JhvxSEAAAAJ
IBM Almaden Research Center
Data ManagementData IntegrationEntity resolutionEntity linking
Citations & Impact
All-time
Citations
2,585
 
H-index
23
 
i10-index
53
 
Publications
20
 
Co-authors
40
list available
Resume (English only)
Research Experience
  • Manages a research team at IBM Almaden focused on human-in-the-loop NLP systems
  • Co-developer of HIL, a declarative framework for scalable entity resolution
  • Contributed research to multiple IBM products
  • Involved in the AutoAI for text project to scale AI for diverse NLP/text applications
  • Participated in the GTE (Global Table Extraction) project
Background
  • Principal Research Scientist at IBM Almaden Research Center
  • Research focuses on integrating human, data, and machine to enable next-generation data-driven AI systems
  • Leads a team on human-in-the-loop systems to scale NLP technologies to broader users and applications
  • Known for contributions to schema mapping, data exchange, entity resolution, and entity linking
  • ACM Distinguished Member