Hybrid Conferencee

International Conference on IoT and Machine Learning Integration (ICIOTML - 26)

8th - 9th October 2026 | Seoul, South Korea

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Conference Notifications:

"Be sure to check this section regularly for all Research Plus International Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Seoul. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Seoul event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Seoul conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Seoul, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Seoul."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICIOTML aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.

The conference highlights advancements in Machine Learning, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.

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