Submit papers via EasyChair Submission System before 20 December 2025.

Simultaneous submissions to other conferences/journals are not allowed. Maximum 5 authors per paper are allowed

Authors are required to adhere to the Springer Policy and Procedures on Plagiarism, please visit

The ICETCI-2026 conference review process follows a double-blind review. The plagiarism check committee initially verifies the submitted paper for plagiarism using the iThenticate plagiarism detection tool. A maximum of 20% similarity with proper citations is permitted before initiating the review process.

Each paper will be reviewed by a minimum of three reviewers, all of whom are subject experts.

Review Criteria:
The paper should be clear, well-organized, and logically structured. Factual information must be correct and up-to-date, with credible sources cited. The content should offer meaningful insights, show a deep understanding of the topic, and be original.

ICETCI-2026 invites original research papers, case studies, and innovative solutions that focus on, but are not limited to, the following areas:

• Artificial Intelligence and Machine Learning
• Deep learning, reinforcement learning, and neural networks
• Natural language processing and computer vision
• AI in healthcare, education, and finance
• Ethical AI, AI explainability, and fairness
• Data Science and Big Data
• Big data analytics, data mining, and visualization
• Data-driven decision-making and predictive modeling
• Cloud computing and distributed data systems
• Internet of Things (IoT) and data integration
• Cybersecurity and Privacy
• Secure computing, cryptography, and blockchain technology
• Privacy-preserving technologies and data protection
• Threat detection and mitigation techniques
• Cyber-physical systems and IoT security
• Quantum Computing and Advanced Algorithms
• Quantum algorithms and quantum machine learning
• Quantum hardware advancements and applications
• Quantum cryptography and quantum communication
• Classical vs. quantum computing paradigms
• Human-Computer Interaction (HCI)
• Augmented reality (AR), virtual reality (VR), and mixed reality (MR)
• User experience (UX) design and user-centered computing
• Emotion recognition and affective computing
• Brain-computer interfaces (BCI)
• Cloud Computing and Edge Computing
• Cloud infrastructure, platforms, and services
• Fog and edge computing models
• Resource optimization and load balancing techniques
• 5G/6G networks and cloud-edge integration
• Robotics and Automation
• Autonomous robots and robotic systems
• Industrial automation and smart manufacturing
• Human-robot collaboration and swarm robotics
• Robotics in healthcare and assistive technologies
• Next-Generation Computing Architectures
• Neuromorphic computing and bio-inspired systems
• FPGA and ASIC-based computing solutions
• Parallel and distributed computing
• Sustainable and Green Computing
• Sustainable computing in smart cities and IoT applications
• Environmental impact of emerging technologies
• Medical informatics, telemedicine, AI-driven diagnostics
• EdTech innovations, adaptive learning technologies
• Urban computing, intelligent transportation systems
• FinTech, blockchain in financial applications
• AI in business intelligence and customer experience