Hamed Alhoori
Scholar

Hamed Alhoori

Google Scholar ID: 27CfLjEAAAAJ
Associate Professor, Department of Computer Science at Northern Illinois University
AI for ResearchAI for PolicyAI Safety and AlignmentGenAIComputational Social Science
Citations & Impact
All-time
Citations
674
 
H-index
17
 
i10-index
20
 
Publications
20
 
Co-authors
43
list available
Resume (English only)
Academic Achievements
  • PI, U.S. Department of Energy (DOE) grant: AI/ML-enabled automated non-destructive inspection for composite aerostructures (2021–2024)
  • PI, NSF Collaborative Research: Identifying reproducible research using human-in-the-loop ML (2020–2023)
  • PI, Argonne National Laboratory project: Predicting scientific fields using ML and text mining (2019–2020)
  • Key participant, Qatar National Research Fund (QNRF) NPRP 4-029-1-007 (2013–2017)
  • Graduate Student Travel Grant Award, Texas A&M University (2013–2015)
  • ADHO bursary award (2013)
  • Industrial Affiliate Program (IAP) scholarship, Reynolds & Reynolds (2011)
  • PhD scholarship in Computer Science, University of Bahrain (2011)
  • Student scholarship, European Conference on Digital Libraries (2009)
Research Experience
  • Associate Professor, Department of Computer Science, Northern Illinois University
  • Director, DATA Laboratory
  • Collaborative projects with Argonne National Laboratory, Spirit AeroSystems, and Texas Research Institute Austin on AI for non-destructive inspection in aerospace manufacturing
  • Research on human-in-the-loop machine learning for identifying reproducible research
  • Work on predicting scientific fields using machine learning and text mining
  • Key participant in the Qatar Digital Library project
Background
  • Associate Professor in the Computer Science Department at Northern Illinois University
  • Director of the Data Analytics Theory and Applications (DATA) Laboratory
  • Research bridges artificial intelligence, large language models, machine learning, text mining, and data science to address challenges in scientific discovery, societal impact, and evidence-based decision-making
  • Focus areas include AI for Science, Science of Science, AI Safety, and AI in Engineering
  • Collaborates with Argonne National Laboratory and Spirit AeroSystems (soon to be part of Boeing) on AI-powered inspection systems for manufacturing