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October 9 - 10, 2026
Montclair, US
Welcome to IEEE ISAIA 2026
Welcome to IEEE ISAIA 2026
The 2026 IEEE International Conference on Intelligent Systems and Interdisciplinary Applications (ISAIA) brings together scientists, engineers, practitioners, educators, and industry experts to explore cutting-edge advancements in intelligent systems and their applications across diverse domains. In today’s rapidly evolving technological landscape, intelligent systems, powered by artificial intelligence, machine learning, robotics, antennas and wireless communication systems, cybersecurity, and data-driven techniques, are playing a transformative role in areas ranging from smart manufacturing, healthcare, and finance to advanced transportation, smart cities, and sustainable environments. This conference provides a collaborative platform for participants to exchange knowledge, discuss emerging challenges, and identify innovative solutions that bridge disciplinary boundaries. By integrating insights from science, engineering, and domain-specific expertise, ISAIA facilitates holistic approaches to designing, deploying, and optimizing intelligent systems for interdisciplinary and impactful real-world applications.
The theme of IEEE ISAIA 2026 is Human-Centered Intelligent Systems for Human Wellbeing Advancement. This conference will be held on October 9 - October 10, 2026, in Montclair, New Jersey, USA.
The conference will feature keynote speeches, technical paper presentations, panel sessions, workshops, and poster competitions.
We look forward to seeing you in New Jersey, USA!
Important Dates
Important Dates
April 30, 2026, Deadline for Full Paper Submission
May 30, 2026, Paper Acceptance Notification
Jun. 30, 2026, Camera-ready Paper Submission
July 30, 2026, Deadline for Early Bird Rate Registration (author and non-author)
August 30, 2026, Deadline for Late Registration
October 9 - 10, 2026, Conference Dates
Tracks and Topics
Tracks and Topics
Intelligent Systems Foundations and Artificial Intelligence
Intelligent Systems Foundations and Artificial Intelligence
Machine Learning Algorithms
Deep Learning
Reinforcement Learning
Adaptive Systems
Knowledge Representation and Reasoning
Natural Language Processing
Computer Vision and Pattern Recognition
Explainable and Interpretable AI
Multi-Agent Systems and Cooperative AI
Cognitive Computing
Hybrid Intelligent Systems
Evolutionary and Swarm Intelligence
Human-in-the-Loop AI Systems
Robotics, Automation, and Autonomous Systems
Robotics, Automation, and Autonomous Systems
Robotics and Smart Manufacturing
Human-robot Interaction and Collaboration
Robot Perception and Navigation
Human-AI/Systems Interaction
Robot Motion Planning and Control
Swarm Robotics and Multi-Robot Coordination
Soft Robotics and Bio-Inspired Robotics
Robot Learning and Reasoning
Robotics in Healthcare and Rehabilitation
AI-Powered Automation Systems
Autonomous Vehicles and Drones
Robotics for Industry 5.0
Data Science and Knowledge Engineering
Data Science and Knowledge Engineering
Big Data Analytics and Processing
Data Mining and Pattern Discovery
Predictive and Prescriptive Analytics
Data-Driven Intelligent Systems
Ontologies and Knowledge Graphs
Decision Support Systems
Intelligent Information Retrieval
Data Integration and Interoperability
Data-Driven Optimization Techniques
Cloud-Based Data Analytics
Real-Time and Streaming Data Analytics
Computational Intelligence for Knowledge Engineering
Cybersecurity, Resilient Communication, and Network
Cybersecurity, Resilient Communication, and Network
Cybersecurity in Intelligent Systems
Resilient IoT, Edge, and Cloud Networks
Wireless, Mobile, and 5G/6G Networks
Network Architecture Optimization
Resilient and Fault-Tolerant Systems
Intrusion Detection and Prevention Systems
Threat Intelligence and Risk Management
Privacy-Preserving Communication Systems
Cyber-Physical System Security
Secure Smart Infrastructure
Blockchain and Distributed Ledger Technologies in Networks
AI for Network Security and Monitoring
Interdisciplinary Applications of Intelligent Systems
Interdisciplinary Applications of Intelligent Systems
Healthcare and Biomedical Informatics
FinTech and Financial Intelligence
Environmental and Agricultural Intelligence
Smart Cities and Urban Computing
Social Computing and Digital Humanities
Energy Management and Smart Grids
Intelligent Transportation Systems
Robotics and Automation in Interdisciplinary Applications
AI for Disaster Management
AI in Business and Industry
Human-Centered AI Applications
Cross-Domain Intelligent Systems Integration
Intelligent Systems-Driven STEM Education
Intelligent Systems-Driven STEM Education
AI-Enhanced Personalized Learning
Intelligent Tutoring Systems
Adaptive Assessment and Evaluation Tools
Robotics and Autonomous Systems in STEM Education
Gamification and Immersive STEM Learning
Data-Driven Educational Analytics
AI for Curriculum Design and Optimization
Virtual and Augmented Reality in Education
Learning Analytics and Predictive Models
Intelligent Student Support Systems
AI for Teacher Assistance and Training
Paper Publication
Paper Publication
IEEE ISAIA 2026 conference utilizes a single-blind review process. All submitted manuscripts will be reviewed by two or three experts from the committees and related areas.
Accepted and presented papers will be copyrighted by IEEE and published in the conference proceedings. Upon successful completion of the IEEE quality review process, the proceedings will be eligible for inclusion in the IEEE Xplore Digital Library. Following the conference, the papers will also be submitted for indexing in Scopus and Ei Compendex, subject to meeting the respective indexing requirements.
Sponsors and Supporters
Sponsors and Supporters
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