About the Conference
International Conference on Intelligent and Smart Computing (iSmartComp2026) aims to advance innovation, research, and applications in the fields of artificial intelligence, data-driven computing, and intelligent systems to address challenges of the digital era. Its primary objective is to promote the development of intelligent and adaptive computing technologies that seamlessly integrate with real-world needs while ensuring reliability, scalability, and human-centered design. iSmartComp2026 will explore the foundational and applied aspects of AI, machine learning, IoT, big data, and computational intelligence that empower next-generation systems across diverse domains. The conference will emphasize smart computing solutions that enhance efficiency, strengthen decision-making, and provide sustainable and transformative outcomes for industry, academia, and society.
These technologies leverage advanced algorithms, automation, and intelligent decision-support mechanisms to optimize resources, predict outcomes, and foster innovation across multiple domains. The scope of iSmartComp2026 spans a wide range of applications, including intelligent transportation systems, smart healthcare, financial technologies, cognitive robotics, cyber-physical systems, and human–computer interaction. This premier platform will bring together researchers, practitioners, policymakers, and industry leaders to collaborate, exchange knowledge, and showcase the latest advancements in intelligent computing. Key themes include explainable AI, trustworthy computing, cloud-edge intelligence, cybersecurity, quantum-inspired computing, and the convergence of AI with IoT and blockchain. By bridging theory and practice, iSmartComp2026 aims to foster interdisciplinary research, industry partnerships, and the development of smart, adaptive solutions that can address global digital transformation challenges.
As intelligent and smart computing continues to redefine modern society, iSmartComp2026 will serve as an open-access hub for high-quality scientific research, fostering collaboration between diverse disciplines and enabling innovative solutions with real-world impact. By embracing responsible and sustainable computing practices, the conference aspires to contribute to building intelligent technologies that are ethical, explainable, and beneficial for humanity. In today’s world, intelligent and smart computing is poised to play a transformative role in shaping the future of connected systems, autonomous technologies, and human-centered innovations.
Conference Focus Areas
International Conference on Intelligent and Smart Computing (iSmartComp2026) will concentrate on the rapidly evolving domains of artificial intelligence, machine learning, and data science, with special emphasis on their integration into intelligent, adaptive, and context-aware systems. The conference will highlight innovations in neural networks, deep learning architectures, generative AI, and explainable AI, particularly focusing on how these approaches can be applied to real-world problems in healthcare, finance, transportation, education, and smart cities. A significant aspect of the focus will also be on the convergence of AI with emerging technologies such as IoT, cloud-edge computing, and blockchain, enabling scalable, secure, and trustworthy smart solutions.
Beyond core AI and data-driven technologies, iSmartComp2026 will explore advances in intelligent transportation, smart healthcare, cognitive robotics, cyber-physical systems, and immersive technologies such as augmented and virtual reality. The role of next-generation networking, quantum computing, and sustainable computing practices in building resilient and future-ready intelligent systems will also be emphasized. With a commitment to bridging theory and practice, the conference will encourage contributions that not only push the boundaries of computing research but also demonstrate practical applications with measurable societal impact.
Publishing & Indexing
Accepted and presented papers will be submitted for possible inclusion into IEEE Xplore subject to meeting IEEE Xplore scope and quality requirements.
Important Dates
Abstract Submission
December 31, 2025
Full Paper Submission
February 05, 2026
Notification of Acceptance
April 06, 2026
Start of Registration
April 10, 2026
End of Registration
April 24, 2026
Final paper Submission
May 15, 2026
Conference Dates
August 28-29, 2026
Conference Tracks
Information Technology
Track 1: Computing
- Quantum Computing
- High Performance Computing
- Distributed and Parallel Systems
- Cognitive Computing
- Cloud Computing
- Grid Computing
- Embedded Computing
- Edge Computing
- Human-centred Computing
- Green Computing
Track 2: Artificial Intelligence
- Deep Learning
- Neural Networks
- Large Language Models (LLMs)
- Expert Systems
- Agents and Multi-agent Systems
- Machine Learning
- Biomedical Signals
- Pattern Recognition
- Computational Optimization
- Robotics and Automation
- Explainable AI
Track 3: Computer Vision
- Human-Computer Interaction
- Autonomous Vehicles
- Image Processing
- Brain-Machine Interface
- Geographic Information Systems
- Video Analysis
- Medical Diagnosis
- Segmentation Techniques
- Augmented Reality
- Virtual Reality
Track 4: Data Science
- Big Data
- Data Analytics
- Predictive Analytics
- Data Mining
- Natural Language Processing
- Fuzzy Logic
- Sentiment Analysis
- Data Warehousing
- Data Fusion
- Information Retrieval
Track 5: Technology Trends
- Internet of Things
- Blockchain
- Cryptocurrencies
- 5G/6G Network Evolutions
- Cybersecurity
- Internet Security
- Intrusion Detection
- Web Services and Performance
- Secure Transactions
- Sensing and Sensor Networks
- Mobile Learning
Track 6: Cryptography and Modelling
- Intrusion Detection & Prevention
- Information Hiding
- Privacy Enhancing Cryptography
- Biometric-Based Cryptographic Systems
- Lightweight Cryptography Models for IoT and Edge Devices
- Quantum Cryptography and QKD Modelling
- Game-Theoretic Modelling of Cybersecurity Attacks and Defences
- Cryptography & Digital Forensics
- Blockchain Modelling for Secure Transactions and Supply Chains
Accepted and presented papers will be submitted for possible inclusion into IEEE Xplore subject to meeting IEEE Xplore scope and quality requirements.
Acknowledgment
The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.