Research & AI

Research that starts in practice

My interest in research comes from practice: using structured inquiry to examine problems that emerge in technology, projects and enterprise operations, and bringing what is learned back into professional work.

Current research

Doctoral research, in progressDBA in Emerging Technologies, concentration in Generative AIGolden Gate University

My current doctoral research is in development. Details will be shared as the work progresses toward publication.

Published research

2024

Big Data Analytics-Driven Project Management Strategies: Utilizing Artificial Intelligence for Dynamic Scheduling, Risk Prediction, and Automated Task Prioritization in Complex Projects

Journal of Science & Technology

DOI10.55662/JST.2024.5104

2024

AI-Enhanced Project Management Systems for Optimizing Resource Allocation and Risk Mitigation: Leveraging Big Data Analysis to Predict Project Outcomes and Improve Decision-Making Processes in Complex Projects

The Asian Journal of Multidisciplinary Research & Review

DOI10.55662/AJMRR.2024.5502

Back into practice

Research matters most to me when it can sharpen how real problems are understood and how better decisions are made in practice.

That connection between inquiry and application runs through my work across PMO, technology and enterprise operations.

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