ISSN:
ISBN: 978-1-68558-183-1

• Registered: with the Library of Congress of the United States of America (ISSN)
• Free Access: in ThinkMind Digital Library

IoTAI 2024 is colocated with the following events as part of DigiTech 2024 Congress:

• DIGITAL 2024, Advances on Societal Digital Transformation
• IoTAI 2024, The First International Conference on IoT-AI
• GPTMB 2024, The First International Conference on Generative Pre-trained Transformer Models and Beyond

IoTAI 2024 Steering Committee

		Narito Kurata Tsukuba University of Technology Japan			Yasushi Kambayashi Sanyo-Onoda City University Japan
		Bharath Sudharsan General Motors Ireland			Christoph P. Neumann Ostbayerische Technische Hochschule Amberg-Weiden Germany
		Young-Joo Suh POSTECH South Korea			Marko Jäntti University of Eastern Finland Finland

IoTAI 2024 conference tracks:

IoT systems
IoT-based hardware and software infrastructures for emergency handling
IoT-based collaborative working
IoT-based emergency situational awareness
IoT decision support technologies
IoT-based microservices design for emergency
IoT-related HCI for disaster preparation
IoT and social-behavioral analysis of endangered people
IoT-robotics systems for disaster handling
IoT-based modeling and simulation for crisis and disaster situations

AI-based processing IoT systems
Sensing, networking, processing, and actuation for emergency management
Humans (people, emergency managers, developers, firefighters, etc,) in IoT systems
Disaster communication infrastructures, technologies, and services
Self-adaptation and self-adaptive architectures for disaster
Quality of Software-oriented disaster management IoT systems
Big data processing for hazards
Remote sensing and cyber-physical systems
Wireless networks-based solutions for disaster management

Cognitive IoT-AI aspects
Industrial IoT and cognitive robots
Drones monitoring and controlling
Deep-learning, biomimicry, and organ-on-chip
Driverless vehicles with route discovery and path recognition
Mobility and IoT for Smart Cities services
Smart energy management using big environmental data and IoT
IoT-based agricultural and autonomous systems for field and livestock operation
AI cognitive engines for self-driving networks
AI cognitive management in systems with slicing, virtualization, SDN/NFV, virtual RAN, and Cloud-RAN

Real-world applications and field studies   
Models, solutions, applications, and lessons learned
Prediction and early warning systems
Crowd and queue management systems
Emergency traffic management systems
Indoor/outdoor emergency evacuation

AI-based prediction models
Archaeology
Astronomy
Biology
Economics
Education
Marketing
Medicine and Health Care
Risk Management
Social Sciences

Deadlines:

Deadlines differ for special tracks. Please consult the conference home page for special tracks Call for Papers (if any).