IEEE Annual Congress on Artificial Intelligence of Things (IEEE AIoT)

3-5 Dec 2025 · Osaka, Japan.

http://www.ieee-qcnc.org/2025

Track 1: Big Data Analytics and IoT Applications

Track Chairs:
Hamada Rizk, Osaka University, Japan, hamada_rizk@ist.osaka-u.ac.jp
Constandinos Mavromoustakis, University of Nicosia, Cyprus, mavromoustakis.c@unic.ac.cy
Jordi Mongay Batalla, Warsaw University of Technology, Poland, jordi.mongay.batalla@pw.edu.pl

Description

This track focuses on the integration of Big Data Analytics and Internet of Things (IoT) technologies to address real-world challenges, drive innovation, and create actionable insights. It aims to explore cutting-edge research, practical applications, and emerging trends in leveraging IoT-generated data for analytics, decision-making, and system optimization across various domains.

Track Topics

• Scalable data analytics for IoT ecosystems
• Real-time data processing and stream analytics
• IoT-enabled smart cities and urban planning
• Predictive maintenance using IoT and machine learning
• Edge and fog computing for IoT applications
• Cybersecurity and privacy-preserving analytics in IoT systems
• AI-driven insights from IoT-generated big data
• Blockchain for secure IoT networks
• Smart healthcare applications with IoT and big data
• Industrial IoT (IIoT) for manufacturing and supply chain optimization
• Advanced data mining techniques for massive data

Paper Submission and Publication

Details of paper submission and publication can be found here.