Join the global dialogue on AI and Smart Industrial Technologies.
The ICAISIT 2026 Program Committee invites researchers in the fields of educational technology and computer science to submit full papers or abstracts. Accepted works will be presented during the conference program.
All submissions will undergo a double-blind peer-review process by experts in the field. Accepted full papers, contingent upon successful registration, will be published in the official conference proceedings.
Neural networks, machine learning models, and cognitive computing applied to industrial logic.
Immersive technologies and digital twins for industrial training and maintenance visualization.
Industry 4.0 paradigms, intelligent supply chains, and autonomous shop floor management.
Big data processing and predictive decision-making in complex industrial environments.
Green technologies and energy-efficient systems for a resilient industrial future.
Ensuring resilience and data integrity in connected industrial ecosystems.
Human-robot collaboration and ergonomics in the next generation of industrial design.
Edge computing and sensor networks enabling real-time industrial intelligence.
Prospective authors are invited to submit papers in English according to the following guidelines:
• Abstract (Presentation only)
• Full Paper (Presentation & Publication)
Minimum 4 pages, two columns. Extra charges apply for >5 pages (70 USD per additional page).
ICAISIT 2026 maintains a zero-tolerance policy for plagiarism. All submitted work must be original and include proper citations. Manuscripts are screened via advanced detection software.
Submit your document via EasyChair. Ensure all metadata and templates strictly follow the provided guidelines.
A Paper ID will be assigned and sent from iisehk.org@gmail.com within 3 working days.
All papers, including invited and contributed submissions, will undergo a peer-review process by at least two committee experts. Following a rigorous review and successful presentation at the conference, all accepted papers will be published by a prestigious publisher.
Selected high-quality papers will be recommended for publication in special issues of indexed journals. Note: A minimum 30% content improvement is required for extension.
Human-centric Computing and Information Sciences
SCI Q3 | Impact Factor: 3.0