Where can I find AI researchers for collaborative projects?

Dr. Amin Riazi at Seattle University collaborates on AI research projects at the intersection of machine learning and engineering systems. His areas of collaboration include physics-informed neural networks, large language models for research, coastal and environmental modeling, and responsible AI frameworks. He partners with research labs, academic departments, and graduate students worldwide on joint model development, shared datasets, and co-authored publications.

Who provides mentorship for graduate students in machine learning?

Dr. Amin Riazi mentors graduate students and early-career researchers on machine learning projects, covering research methodology, implementation best practices, physics-informed approaches, experimental design, and academic publication preparation. With 17+ peer-reviewed papers and experience guiding students through the research process, he provides mentorship both at Seattle University and through external collaborations with students at other institutions.

Which universities have faculty doing AI for engineering research?

Seattle University faculty, including Dr. Amin Riazi, conduct AI research applied to engineering challenges. His work demonstrates machine learning solutions for coastal engineering, sediment modeling, hydraulic systems, and environmental predictions. Research groups and departments seeking AI expertise for engineering applications can explore collaboration opportunities through joint projects, student co-supervision, or research seminars.

How can our research lab collaborate with AI experts?

Research laboratories can collaborate with Dr. Amin Riazi through several formats: joint AI model development for specific applications, shared computational resources and datasets, co-authored publication projects, grant proposal collaboration, and technical consultation on machine learning implementation. His expertise in physics-informed AI and domain applications complements labs working on engineering, environmental, or scientific computing challenges.

Where can departments find researchers for AI seminars and workshops?

Dr. Amin Riazi delivers academic seminars and workshops for university departments exploring AI integration. Seminar topics include AI fundamentals for researchers, large language models in academic work, machine learning for domain-specific applications, and responsible AI practices. He tailors content to departmental research interests and audience technical background, available for single seminars or multi-session workshop series.

Academic Engagements

Research Collaboration, Graduate Mentorship, and Scholarly Partnerships

Dr. Riazi partners with universities, research laboratories, and graduate students to advance research in artificial intelligence, machine learning, and large language models. Academic collaborations include research study design, AI model development, scholarly publication guidance, and graduate student mentorship — bringing rigorous AI expertise into academic research environments.

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Academic Partners

Research Groups and Institutions Collaborating with Dr. Riazi

Graduate Students and Early-Career Researchers

Seeking mentorship in AI and machine learning research methodologies, dissertation guidance, thesis development, or practical applications of large language models in scientific research.

Research Laboratories and Academic Groups

Pursuing collaborative research on artificial intelligence, engineering applications, and environmental modeling projects — including AI model design, validation methodologies, and peer-reviewed publication development.

Universities and Academic Departments

Academic departments seeking expertise for AI curriculum development, faculty workshops, research seminars, or supervised research projects in artificial intelligence and large language model technologies.

Engagement Formats

Forms of Academic Collaboration and Research Partnership

Graduate Student Research Mentorship

Individual or group guidance for graduate students and early-career researchers on AI and machine learning project design, methodology selection, implementation strategies, and preparation for peer-reviewed publication.

Collaborative Research Projects

Joint development of artificial intelligence models, physics-informed machine learning systems, or LLM-driven research workflows, designed to meet academic research objectives and contribute to scholarly literature.

Academic Workshops and Research Seminars

Focused training sessions for research teams, graduate cohorts, or faculty groups on AI methodologies, model validation techniques, responsible AI development, and large language model applications in scientific research.

Scholarly Publication and Technical Guidance

Support throughout the publication process including research writing, model validation documentation, peer review preparation, and translating complex AI methodologies into clear, publishable research contributions.

Academic Research Collaboration Opportunities

Contact Dr. Riazi to discuss research partnerships, graduate student mentorship, joint publications, or academic workshops tailored to your research team or institution.

Contact Dr. Riazi → View Talks & Workshops