CfP: IoTAI 2026 || July 5 - 9, 2026 - Nice, France

INVITATION:

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Please consider to contribute to and/or forward to the appropriate groups the following opportunity to submit and publish original scientific results to:

- IoTAI 2026, The Third International Conference on IoT-AI

IoTAI 2026 is scheduled to be July 5 - 9, 2026 in Nice, France under the DigiTech 2026 umbrella.

The submission deadline is March 14, 2026.

Authors of selected papers will be invited to submit extended article versions to one of the IARIA Journals: https://www.iariajournals.org

All events will be held in a hybrid mode: on site, online, prerecorded videos, voiced presentation slides, pdf slides.

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============== IoTAI 2026 | Call for Papers ===============

CALL FOR PAPERS, TUTORIALS, PANELS


IoTAI 2026, The Third International Conference on IoT-AI

General page: https://www.iaria.org/conferences2026/IoTAI26.html

Submission page: https://www.iaria.org/conferences2026/SubmitIoTAI26.html


Event schedule: July 5 - 9, 2026


Contributions:

- regular papers [in the proceedings, digital library]

- short papers (work in progress) [in the proceedings, digital library]

- ideas: two pages [in the proceedings, digital library]

- extended abstracts: two pages [in the proceedings, digital library]

- posters: two pages [in the proceedings, digital library]

- posters: slide only [slide-deck posted at www.iaria.org]

- presentations: slide only [slide-deck posted at www.iaria.org]

- demos: two pages [posted at www.iaria.org]


Submission deadline: March 14, 2026


Extended versions of selected papers will be published in IARIA Journals: https://www.iariajournals.org

Print proceedings will be available via Curran Associates, Inc.: https://www.proceedings.com/9769.html

Articles will be archived in the free access ThinkMind Digital Library: https://www.thinkmind.org


The topics suggested by the conference can be discussed in term of concepts, state of the art, research, standards, implementations, running experiments, applications, and industrial case studies. Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal in the following, but not limited to, topic areas.

All tracks are open to both research and industry contributions.
Before submission, please check and comply with the editorial rules: https://www.iaria.org/editorialrules.html


IoTAI 2026 Topics (for topics and submission details: see CfP on the site)

Call for Papers: https://www.iaria.org/conferences2026/CfPIoTAI26.html

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IoTAI 2026 Tracks (topics and submission details: see CfP on the site)

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


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IoTAI 2026 Committee: https://www.iaria.org/conferences2026/ComIoTAI26.html

IARIA Ambassadors

Steve Chan, Decision Engineering Analysis Laboratory, USA
Dirceu Cavendish, Kyushu Institute of Technology, Japan
Monika Maria Moehring, Study Centre for Blind and Disabled Students, Technische Hochschule Mittelhessen, Gie en Germany
Carlos Becker Westphall, Federal University of Santa Catarina, Brazil
Lasse Berntzen, University of South-Eastern Norway, Norway
Les Sztandera, Thomas Jefferson University, Philadelphia, USA
Andreas Rausch, TU Clausthal, Clausthal-Zellerfeld, Germany
Timothy Phan, NASA, Jet Propulsion Laboratory, USA
Manuela Vieira, CTS/ISEL/IPL, Portugal
Luigi Lavazza, Universit dell'Insubria - Varese, Italy