October 9 - 10, 2026
Montclair, US
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. The conference serves as a collaborative forum 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 promotes holistic approaches to designing, deploying, and optimizing intelligent systems that address interdisciplinary complex real-world problems and drive impactful applications.
The theme of IEEE ISAIA 2026 is Human-Centered Intelligent Systems for Human Wellbeing Advancement. The conference will take place on October 9-10, 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!
April 30, 2026, Deadline for Full Paper Submission
May 30, 2026, Paper Acceptance Notification
June 1, 2026, Registration Opening
June 30, 2026, Camera-ready Paper Submission
July 30, 2026, Deadline for Early Bird Registration (author and non-author)
August 30, 2026, Deadline for Late Registration
October 9 - 10, 2026, Conference Dates
Machine Learning Algorithms and Frameworks
Deep Learning and Reinforcement Learning
Knowledge Representation and Reasoning
Big Data Analytics and Processing
Data-Driven Optimization Techniques
Natural Language Processing and Understanding
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
Electrically Embedded and Wearable Antenna Technologies
Reconfigurable and Adaptive MIMO Antenna Systems
Satellite Antennas and Space RF Systems
Advanced RF and Microwave Semiconductors
AI Hardware and Accelerator Design
Passive and Active Microwave Components
Integrated RFIC, MMIC, and Sensor Systems
Signal Generation and Processing Electronics
Radar, Sensing, and Imaging Systems
RF Systems for Next-Generation Networks
Microwave Photonics and Nanotechnology Applications
Robotics and Smart Manufacturing
Human-robot Interaction and Collaboration
Robot Perception, Sensing, and Navigation
Human-AI/Systems Interaction and Collaboration
Robot Motion Planning and Control Systems
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 and Smart Factories
Cybersecurity for Intelligent Networked Systems
Resilient IoT, Edge, Cloud networks
Wireless, Mobile, and 5G/6G Networks
Network Protocols and Architecture Optimization
Intrusion Detection and Prevention Systems
Privacy-preserving Communication System Design
Digital Signal Processing Implementations
Channel Modeling and Synchronization Techniques
Adaptive Modulation and Coding Strategies
MIMO, Beamforming, and Spectrum Processing
Machine Learning for Secure Communications
CubeSat Systems Design and Testing
Power and Thermal Subsystem Management
Advanced Satellite Communication Architectures
CubeSat Programs for Underserved Communities
Software-Defined Radios and RF Front-Ends
Low-Power Adaptive Communication Protocols
Network Management and Dynamic Optimization
Satellite-Terrestrial Network Integration
Mission Planning and Operations Management
AI/ML For Autonomous Communications
Emerging Space Communication Technologies
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
AI for Disaster Management
AI in Business and Industry
Human-Centered AI Applications
Cross-Domain Intelligent Systems Integration
Intelligent Systems-Driven STEM Education
Gamification and Immersive STEM Learning
Data-Driven Educational Analytics
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.