The International Workshop on Generative AI is an interdisciplinary event designed for the purpose of a pragmatic means of integrating Generative AI (GenAI) models across engineering disciplines. This workshop will support innovation in the application of GenAI for purpose of improved efficiency and performance of engineering processes.  ​

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Generative AI has continued to be applied in new application areas recently with implementations ranging from agentic implementations to task automation. This hasn’t been without challenges where models have not represented a complete means of automation – representing an opportunity in the area of model validation as well as model implementation.​

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By bringing together the AI and engineering communities, we aim to enhance research and development capabilities and accelerate scientific and technological progress through shared resources and collaborative efforts.

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We invite researchers and industry professionals to submit poster presentations on topics including, but not limited to: 

• LLM validation

• GenAI for code generation

• Local LLMs

• Integration of LLMs via APIs

• Training and implementation of GenAI models

• Integration of GenAI into legacy applications

• New applications constructed from GenAI models

• GenAI assisted software development and troubleshooting.

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We invite you to submit extended abstracts (two pages, excluding references) in PDF format through this link by July 30, 2026.

 

Contributions will be reviewed for quality and relevance to the workshop’s theme. Theoretical and applied papers and papers that capture best practices and lessons learned from field studies are encouraged. Submission of preliminary results would also be considered.

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Authors of accepted abstracts will present their work at the workshop either as regular talks or as posters.

 

The workshop organizers plan to invite the authors of distinguished extended abstracts to submit a full paper of their work in internationally renowned journals (SCI, EI, and/or Scopus indexed).

 

Workshop Organizers and Program Committee

David Ostrowski,  Northwestern University, USA

Sheida Malekpour,  Toyota, USA

Nestor Rychtyckyj, Ford Motor, USA