About Dr Rezazadegan

I work at the intersection of AI strategy, applied intelligence, and education, supporting organizations and leaders in understanding and applying AI.

My professional path combines AI consulting for industry, academic research, and university-level teaching, allowing me to move fluidly between theory, practice, and learning. This combination shapes how I approach AI: not just as a set of tools, but as a capability that needs clarity, and thoughtful integration.

I earned my Master’s degree in mathematics from Sharif University of Technology, Tehran, Iran and my PhD in mathematics from Rutgers University, New Brunswick, New Jersey. I have taught and done research at Center for Quantum Geometry, Denmark, Uppsala University, Sweden, Biocomplexity Institute at the University of Virginia, and the Sharif Energy, Water and Environment Institute. I am currently a professor of mathematics and computer science at Shiraz University, Shiraz, Iran.

I advise organizations on how to identify, prioritize, and implement AI opportunities aligned with their strategic goals and real operational constraints.

My consulting work typically includes:

My focus is on long-term value, rather than short-term experimentation or hype.

I have an academic background in AI-related research, with work spanning areas such as data analysis, natural language processing, patent analysis and technological forecasting.

Research plays an active role in my work:

Rather than separating research and practice, I use research as a way to bring depth and realism into strategic conversations.

My research interests are described on the research page.

Alongside my consulting and research work, I teach at the university level, designing and delivering courses in areas related to AI, data-driven analysis, and computational thinking.

In academic settings, I focus on:

This university teaching experience directly influences my work with executives and organizations: it strengthens my ability to structure complex material, explain it clearly, and guide others toward understanding rather than instruction-following.

My teaching material can be found here.

In addition to university education, I design and deliver executive and professional AI education for leaders and senior professionals.

These sessions are:

They often serve as a bridge between learning and consulting, helping leadership teams build shared understanding of AI before moving into action.

At the core of my teaching and advisory work is an emphasis on presence, attention, and awareness.

I believe that real learning—and good decision-making—requires more than information. It requires the ability to pause, observe, and see situations clearly, especially in complex and uncertain environments such as AI-driven transformation.

This perspective subtly informs how I teach, facilitate discussions, and work with leaders: with calm focus, respect for complexity, and attention to the human side of technology.

My work integrates three complementary roles:

Together, they allow me to act as a bridge between advanced AI concepts and real-world organizational decision-making, across academic and industry contexts.

I work with:

Engagements often begin with education or advisory sessions and evolve into deeper consulting collaborations.

If you are interested in AI strategy grounded in research, education, and thoughtful practice, I would be glad to explore how we might work together.