Publications & Scholarly Contributions
My scholarship spans artificial intelligence, data science, health analytics, education, machine learning, and advanced quantitative methods.
This page highlights selected peer-reviewed publications, scholarly contributions, conference proceedings, and other research outputs.
For the most current record of my scholarly work, visit my external research profiles.
Google Scholar ORCID ResearchGate
Peer-Reviewed Journal Articles
Data Analytics, Generative AI, and Project Management
Srikanth, S., & Itauma, I. (2025).
Transforming project management through data analytics and generative AI. Empirical Economics Letters, 24(September Special Issue 1), 93–109.
AI Scribes and Clinical Documentation
Itauma, O., & Itauma, I. (2024).
AI scribes: Boosting physician efficiency in clinical documentation. International Journal on Bioinformatics & Biosciences, 14(1), 9–18.
Contraceptive Choices and Weight Status
Itauma, O., Abara, C., Gonullu, D., Fee, M., Itauma, I., & Awonuga, A. (2020).
Contraceptive choices by weight status among women in the United States: An analysis of the 2015–2017 National Survey of Family Growth. Fertility and Sterility, 114(3), e173–e174.
Books & Book Chapters
Machine Learning Using Python
Itauma, I. (2024).
Machine Learning Using Python.
An applied introduction to machine learning using Python, with emphasis on connecting analytical concepts with practical implementation.
Unsupervised Learning and Image Classification
Itauma, I., Aslan, M. S., Chen, X. W., & Villanustre, F. (2016).
Unsupervised learning and image classification in high-performance computing clusters. In Big Data Technologies and Applications (pp. 387–400). Springer International.
This work emerged from my graduate research in computer science and reflects my early scholarship at the intersection of machine learning, image analysis, and high-performance computing.
Selected Conference Proceedings
Generative AI and Project Communication
Srikanth, S., & Itauma, I. (2026).
Leveraging Generative AI as a Socio-Technical Mediator in Global Project Communication and Conflict Management.
Proceedings of the 3rd International Business Analytics Conference.
Recruitment Analytics and Machine Learning
Ravi, M., Yenuga, H., & Itauma, I. (2025).
Revolutionizing recruitment: Enhanced machine learning models for bias mitigation and efficiency.
Proceedings of the 2nd International Business Analytics Conference.
Predictive Models for Customer Churn
Rawat, P., Sharma, A., & Itauma, I. (2025).
Retaining value: Segment-based predictive models for customer churn in banking.
Proceedings of the 2nd International Business Analytics Conference.
Recognition: Best Paper Award
Large Language Models for Predictive Analytics
Itauma, I. (2024).
Leveraging large language models for predictive analytics and code generation using ChatGPT and Gemini API.
Proceedings of the 1st International Business Analytics Conference.
Machine Learning for Wine Quality Prediction
Mutha, R., Itauma, I., & Cutt, K. (2024).
Machine learning approaches for predicting wine quality from chemical properties in Azure Machine Learning Studio.
Proceedings of the 1st International Business Analytics Conference.
Large Language Models and Confidence Scoring
Nasim, M., Zhu, S., & Itauma, I. (2024).
An empirical analysis of the functionalities and confidence scoring mechanisms in leading large language models.
Proceedings of the 1st International Business Analytics Conference.
Selected Earlier Research
Unsupervised Learning and Image Classification
Itauma, I., Aslan, M. S., Villanustre, F., & Chen, X. (2015).
Unsupervised learning and image classification in high-performance computing clusters.
14th International Conference on Machine Learning and Applications (IEEE ICMLA 2015).
This work represents an early part of my research trajectory in machine learning, big data analytics, and high-performance computing.
Research in Progress
My current research portfolio includes several active and emerging projects across my four research streams.
Artificial Intelligence
- AI literacy, readiness, and student attitudes toward artificial intelligence
- Personality traits and attitudes toward artificial intelligence
- Human–AI decision-making
- Retrieval-augmented generation for large language models
- Agentic AI and the future of research
Health & Wellness Analytics
- Sleep and metabolic health
- Physical activity, sleep, and psychological wellness
- Complementary health approaches and health behaviors
- Bayesian modeling for health and epidemiological decision-making
Research Synthesis & Methods
- Reproducible bibliometric research workflows
- Meta-analysis and evidence synthesis
- Advanced quantitative methodology
- Open and reproducible research practices
Scholarly Profiles
My publication record and scholarly contributions can also be explored through the following research profiles:
Google Scholar
Google Scholar provides citation information and an overview of my scholarly publications.
ORCID
My ORCID provides a persistent researcher identifier and structured record of scholarly contributions.
ORCID: 0009-0000-8835-5292
ResearchGate
ResearchGate provides access to additional information about my research and scholarly network.
Open & Reproducible Scholarship
As my research program develops, I am working toward making more research outputs openly accessible and reproducible.
Where appropriate, future publications and projects will connect to:
- GitHub repositories
- Open Science Framework projects
- Pre-registrations
- Research protocols
- Reproducible analytical code
- Open datasets
- Preprints
- Supplementary materials
This approach supports the broader research philosophy of the INSIGHT Lab: creating scholarship that is rigorous, transparent, reproducible, and capable of being extended by others.
ORCID-Synchronized Works
The works below are synchronized from my public ORCID record.
2026
Sleep Quality and Daytime Functioning as Predictors of Metabolic Risk: A Structural Equation Modeling Analysis of NHANES Data
Journal-Article · International Journal of Digital Health and Telemedicine
2025
Transforming Project Management through Data Analytics and Generative AI
Journal-Article · Empirical Economics Letters
2024
AI Scribes: Boosting Physician Efficiency in Clinical Documentation
Journal-Article · International Journal on Bioinformatics & Biosciences
2015
Unsupervised Learning and Image Classification in High Performance Computing Cluster
Conference-Paper · 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA)
2012
Gesture imitation using machine learning techniques
Conference-Paper · 2012 20th Signal Processing and Communications Applications Conference (SIU)
2011
Humanoid robot assisted interactive sign language tutoring game
Conference-Paper · 2011 IEEE International Conference on Robotics and Biomimetics