Special Session on Recent Trends in Machine Learning using IoT

Session Chairs

Theme of Session

The goal of this special session is to provide a platform for researchers, engineers and industrial practitioners from different fields to share and exchange their ideas, research results and experiences in the field of AI advances and developments in IoT. The concepts of pervasive computing and ubiquitous computing are related to the internet of things, in the sense that all these paradigms are enabled by large-scale embedded sensor devices. On the other hand, Machine Intelligence aims to design and develop robust automated decision making systems. The main objective is to minimize the manual interruptions and maximize the accuracy of the machine made thoughts in the system.

Scope and Interests

Contributions to this special session are welcome to present novel methods, algorithms, frameworks, architectures, platforms and applications. Potential topics of interest include, but are not limited to the following:


All accepted and registered papers will be published in Advances in Intelligent Systems and Computing (AISC) Series, Springer. Indexing: The books of this series are submitted to ISI Proceedings, EI-Compendex, DBLP, SCOPUS, Google Scholar and SpringerLink.

Important Dates

Submission of full papers: November 12, 2019

Notification of papers: November 15, 2019


Please submit your paper (in Word (.docx) format) to the Email IDs




With Name of Special Session: "RECENT TRENDS IN MACHINE LEARNING USING IoT" mentioned in the subject line.

For template details, please visit:

Conference Website: https://ficta2020.nitk.ac.in/

Conference Brochure: https://ficta2020.nitk.ac.in/resource/brochure.pdf

Special Session Contact

For any further queries related to this special session, please contact: