AI Researcher and Assistant Teaching Professor
Ph.D. · Professor · Keynote Speaker · Academic Workshop Facilitator
Based in Seattle, Washington — delivering talks and workshops worldwide.
Why Organizations Invite Dr. Riazi for AI Research Insights
When academic institutions, research organizations, and professional groups seek an AI expert for keynote lectures, workshops, or research-informed guidance on AI adoption, they look for rigorous credentials, peer-reviewed research, proven teaching excellence, and global research perspective.
Deep Technical Foundations
Dr. Riazi holds a Ph.D. in Civil Engineering and an M.S. in Data Analytics — providing a rare combination of domain expertise in engineering systems and advanced data science capabilities. He understands not only how AI algorithms function theoretically, but how they perform when applied to complex, real-world engineering and scientific problems.
University Professor Teaching AI
As an Assistant Teaching Professor at Seattle University, Dr. Riazi teaches Artificial Intelligence and Advanced Machine Learning at the graduate level. His ability to make neural networks, large language models, and deep learning accessible to students translates directly to delivering clear, actionable insights for any audience.
Published AI Researcher
With 17+ peer-reviewed publications and over 300 citations in leading journals including Ocean Engineering, Applied Intelligence, Scientific Reports, and Continental Shelf Research, Dr. Riazi's AI expertise is validated by the global research community through rigorous peer review and scholarly impact.
International Research Experience
Having studied, researched, and collaborated across four continents — North America, Asia, Europe, and Australia — Dr. Riazi brings cross-cultural perspectives to AI implementation, understands diverse institutional contexts, and has worked with research teams in Iran, Cyprus, Turkey, Australia, Canada, and the United States.
Large Language Models Research
Beyond classical machine learning, Dr. Riazi researches and teaches large language models, generative AI systems, and responsible AI deployment frameworks. Organizations that invite him benefit from expertise spanning the full AI landscape — from traditional predictive models to cutting-edge LLM applications.
Academic Speaker and Workshop Facilitator
Dr. Riazi delivers keynote lectures, invited talks, and interactive workshops that provide audiences with research-backed insights and actionable takeaways. Whether presenting at a 500-person academic conference or conducting an intimate faculty workshop, he adapts AI content to the audience's technical level and disciplinary context.
Dr. Amin Riazi — Academic Speaker Bio
Dr. Amin Riazi is an AI researcher, Assistant Teaching Professor, and keynote speaker based in Seattle, Washington. He teaches and conducts research in artificial intelligence, deep learning, and machine learning applications in engineering and environmental systems at Seattle University. His peer-reviewed research — spanning physics-informed neural networks for ocean prediction, unsupervised deep learning for coastal morphology classification, causal inference methodologies, and AI-driven information diffusion analysis — has been cited over 300 times in the scholarly literature.
With international research experience across four continents, Dr. Riazi brings a global perspective to AI research and academic collaboration. He has studied, conducted research, and taught in Iran, Cyprus, Turkey, Australia, Canada, and the United States, working with diverse research teams and institutional contexts. This cross-cultural experience informs his approach to AI implementation, responsible AI frameworks, and international research partnerships.
Dr. Riazi holds a Ph.D. in Civil Engineering, an M.S. in Data Analytics, and an M.Sc. in Hydraulic Engineering. He delivers invited talks and keynote lectures on AI strategy, large language model applications, and responsible AI adoption for academic institutions, research organizations, and professional conferences worldwide. He also provides research-informed guidance on machine learning implementation for engineering, environmental, and data-driven scientific challenges.
For Conference Organizers: Please use this biography for event programs and speaker introductions.
AI Topics Dr. Riazi Addresses in Talks and Workshops
Academic Engagement Formats
Keynote Lecture
A 30–60 minute presentation on an AI research topic tailored to your audience. Ideal for academic conferences, research symposia, professional development events, and industry summits on artificial intelligence and engineering.
Interactive Workshop
A half-day or full-day hands-on session for research teams, faculty groups, or graduate students. Designed to build understanding of AI capabilities, evaluate potential research applications, and develop organizational AI literacy.
Panel Participation and Moderation
Available as a panelist or moderator for academic discussions on AI in engineering, responsible AI development, the future of machine learning research, AI in higher education, and emerging applications of large language models.
Research-Informed Advisory
Ongoing or project-based academic guidance for research groups and institutions implementing AI systems. Includes feasibility assessment, model evaluation, data strategy development, and research-informed implementation guidance.
Invite Dr. Riazi for Keynote Talks and Academic Engagements
Whether you're planning an academic conference keynote, launching an AI research initiative, or seeking expert guidance on large language models and machine learning applications, Dr. Amin Riazi is available for invited talks and academic engagements worldwide.