The conference’s main objective is to bring together researchers engaged in applying AI to Engineering and Business. The suggested topics link conventional and emerging research areas. Papers submitted to the conference will undergo peer review.  All papers will be uploaded to the Toronto Metropolitan University Library Depository and will be available in open access. Extended versions of all regular papers will also be considered for publication in specialized ISI-indexed journals.

 

Conference topics include but not limited to:

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Track A: AI Foundations and Emerging Technologies

Track B: AI in Mechanical, Civil, Electrical, and Chemical Engineering

Track C: Smart Manufacturing, Robotics, and Industry 4.0

Track D: Digital Twins, IoT, and Intelligent Infrastructure

Track E: AI in Business Analytics, Finance, and Marketing

Track F: Supply Chain, Operations, and Smart Logistics

Track G: Sustainability, Energy, and Climate Applications

Track H: AI Governance, Ethics, Security, and Policy

Track I: Entrepreneurship, Innovation, and AI Startups

Track J: Education, Workforce Development, and Future Skills