All manuscripts will be blind reviewed by the Technical Committees on the basis of technical quality, relevance to conference topics of interest, originality, significance, and clarity. By submitting your manuscript to the IEIT 2026, we consider that it is an original manuscript never published before. Plagiarism, including duplicate publication of the author's own work, in whole or in part without proper citation is not tolerated by the conference.

Topics of interest for submission include as following:
 

Track 1: Internet and Information Technologies

Computer Science and Engineering
Internet Architecture and Protocols
Network Design, Optimization and Control
Wireless and Mobile Networks
Communication Systems and Technologies
Network Security and Privacy
Cloud Computing and Edge Computing
Information Management Systems

Track 3: Intelligent Educational Technologies and Systemss

Intelligent Learning Systems
Learning System Architecture and Platforms
Educational Data Mining and Learning Analytics
AI-enabled Educational Technologies
Virtual Learning Environments (VLEs)
Collaborative and Distributed Learning Systems
Multimedia Systems for Education
Smart Education and Digital Campuses

Track 2: Artificial Intelligence and Data Technologies

Artificial Intelligence and Machine Learning
Deep Learning and Neural Networks
Big Data Analytics
Data Mining and Knowledge Discovery
Intelligent Algorithms and Optimization
Computer Modeling and Simulation
Intelligent Decision Support Systems