International Conference on

IoT and Machine Learning Integration (ICIOTML-27)

28th – 29th May 2027 | Sydney, Australia | Hybrid Mode
Proudly organized by the : Institute for Global Academic Excellence (IGAE)

Call for Papers

The International Conference on IoT and Machine Learning Integration invites researchers, academicians, industry professionals, and practitioners to submit original and high-quality research contributions. The conference aims to provide a global platform for knowledge exchange, innovation, and collaboration across diverse research domains.

This conference focuses on emerging trends, practical challenges, and cutting-edge advancements in areas such as Machine Learning encouraging interdisciplinary research and innovative approaches to solving real-world problems.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Machine learning for IoT data analysis
02
Smart home applications using machine learning
03
Security challenges in IoT systems
04
Data management in IoT environments
05
Real-time analytics for IoT applications
06
Machine learning for predictive maintenance in IoT
07
IoT and big data integration techniques
08
Energy efficiency in IoT systems
09
Machine learning for smart cities
10
IoT device communication protocols and ML
11
Challenges in IoT data processing
12
Machine learning for healthcare IoT applications
13
IoT security and privacy concerns
14
Scalability issues in IoT machine learning
15
Machine learning for environmental monitoring in IoT
16
IoT applications in agriculture and farming
17
Machine learning for industrial IoT solutions
18
Future trends in IoT and machine learning
19
Data-driven decision making in IoT
20
Machine learning for transportation IoT systems
Conference Registration
  • Accepted authors must register for the conference to present their work.
  • Early registration allows you to take advantage of discounted fees.
  • Check the registration page for more details.
Publication Opportunities

Selected papers will be published in the IGAE Conference Proceedings or other journals affiliated with IGAE. Authors whose papers are accepted for publication will be notified in advance.

Event Highlights
  • Keynote sessions by experienced speakers
  • Technical paper presentations across multiple topics
  • Opportunities for academic and professional networking
  • Discussions on current research developments

Quick Links

Advance Your Journal Publication Journey - a multidisciplinary journal that is Q1-ranked and Scopus-indexed

Journal consideration and publication are subject to editorial review, peer review and applicable journal policies.