AI-SIIS 2026

 “AI-SIIS 2026” (#68901) – IEEE International Conference on AI and Security for Industrial IoT Systems (AI-SIIS 2026) –> 24-26 September 2026 is a global conference that brings together scientists, engineers, industry leaders, and policymakers to explore the latest innovations in artificial intelligence and industrial electronics related technologies. It is in collaboration with KL University and IEEE SB KLEF. It is technically sponsored by IEEE IES (Industrial Electronics Society). It is a premier event bringing together experts, researchers, engineers, and industry leaders to explore the intersection of Artificial Intelligence (AI), cybersecurity, and the rapidly evolving field of Industrial Internet of Things (IIoT). The conference will address key challenges and innovations in securing IIoT systems, leveraging AI to enhance the resilience, autonomy, and safety of industrial environments.

As industries continue to digitize and adopt smart manufacturing, smart cities, and Industry 4.0 technologies, the need for robust AI-driven security solutions has never been more pressing. This conference will showcase cutting-edge research, practical applications, and emerging trends in securing IIoT systems from cyber threats while harnessing the potential of AI to drive industrial innovation.

Target Audience

AI-SIIS 2026 is designed for a diverse, global audience engaged in advancing secure, intelligent industrial systems. The conference particularly targets:

• Researchers and Academicians working in artificial intelligence, cybersecurity, industrial electronics, Industrial IoT (IIoT), control systems, and Industry 4.0 technologies.

• Industry Professionals and Engineers from manufacturing, energy, transportation, automation, robotics, smart cities.

• Cybersecurity Experts and System Architects focused on securing IIoT systems, industrial control systems (ICS), and cyber-physical systems against evolving cyber threats.

• Technology Developers and Innovators including AI practitioners, data scientists, IoT solution providers.

• Policy Makers, Regulators, and Standards Professionals involved in shaping policies, safety regulations, and standards for AI adoption.

• Graduate Students, Doctoral Scholars, and Early-Career Researchers seeking exposure to high-impact research, industry perspectives.

AI-SIIS 2026 focuses on industrial and upcoming frontier technologies, applications of electronics, controls, communications, instrumentation and computational intelligence. The objectives of the conference are to provide high quality research and professional interactions for the advancement of science, technology, and fellowship. Papers with new research results are encouraged for submission.

Technical Topics (but not limited to)

Track 1: AI-Based Security and Intelligence for Industrial IoT

• AI-based threat detection and mitigation for Industrial IoT (IIoT)
• Machine learning for anomaly detection in industrial networks
• Federated and distributed learning for industrial cybersecurity
• Fault-tolerant AI architectures for industrial automation
• Intrusion detection and prevention in smart factories
• Deep learning for malware classification in IIoT environments
• Blockchain for secure IIoT data sharing and identity management

Track 2: AI for Smart Healthcare and Medical IoT

• Deep learning for disease diagnosis and early detection
• AI-enabled predictive healthcare analytics and patient monitoring
• Federated learning for clinical data sharing and privacy preservation
• Explainable AI (XAI) for medical decision-making
• Reinforcement learning in personalized treatment planning
• AI-driven biomedical signal and image analysis
• Digital twins and AI modeling for healthcare systems
• AI for remote monitoring and telemedicine applications

Track 3: Secure and Ethical AI Systems for Industry and Society

• Ethics-by-design frameworks for AI in industrial automation
• AI control mechanisms and failsafe architectures
• Explainability and interpretability for critical decision systems
• AI accountability and auditability models
• Managing algorithmic bias in industrial and social contexts
• Standards and benchmarks for ethical and safe AI

Track 4: Human–Machine Collaboration and Cognitive AI Systems

• AI-driven human-machine collaboration in industrial environments
• Cognitive AI systems for decision support and control
• Adaptive interfaces for human-in-the-loop systems
• Trust, transparency, and human factors in AI-enabled operations

Track 5: Smart and Intelligent Sensor Applications

• AI and machine learning for sensor data processing
• Sensor fusion and signal conditioning
• Self-calibrating and self-healing sensors
• Smart camera systems
• Industrial IoT and predictive maintenance sensors

We extend a heartfelt welcome to each of you and look forward to your active participation in making AISIIS 2026 a resounding success.

Contact us

aisiis2026@gmail.com

STEPS FOR REGISTRATION:

Make payment in the below bank details

Account Holder’s Name	KONERU LAKSHMAIAH EDUCATION FOUNDATION A
Bank Name	HDFC Bank
Account No	99902222333444
IFSC	HDFC0000109
Swift Code	HDFCINBB (for international transfer)
Bank Branch	VIJAYAWADA,  ANDHRA PRADESH, INDIA
Account Type	Savings
Bank Address	NO.40-1-129, GROUND FLOOR, NEAR BENZ CIRCLE, M.G. ROAD

 

2. Take a screenshot of the payment receipt and submit the it here with other details

LINK :

 For Indian Authors

Category	Regular in INR
IEEE student – IES member	4500
IEEE student member	5500
Student Non -IEEE member	6500
IEEE Professional – IES member	7000
IEEE Professional member	8000
Professional Non- IEEE member	9500
Attendee Only	2500
Extra Per Page	400
Additional Certificate	400

 

For International Authors

Category	Regular in USD
IEEE student – IES member	100
IEEE student member	150
Student Non -IEEE member	200
IEEE Professional – IES member	200
IEEE Professional member	230
Professional Non- IEEE member	300
Attendee Only	100
Extra Per Page	40
Additional Certificate	40

 

 

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Refund Policy

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All registration fees are non-refundable. Each attendee must register separately. An existing registration record cannot be transferred to any other person.