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