Call For Papers

Call for Papers

All honorable authors are kindly encouraged to contribute to and help shape the conference through submissions of their research abstracts, papers and e-posters. Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Cognitive Science and Image Processing are cordially invited for presentation at the conference. The conference solicits contributions of abstracts, papers and e-posters that address themes and topics of the conference, including figures, tables and references of novel research materials. Only submit the softcopy of full-length paper not exceeding 6 pages in specified format. Other papers on related topics mentioned below are also welcome.

Paper Submission

Authors are cordially invited to submit unpublish and original work through EasyChair.

Paper Publication

The selected papers will be published in IEEE Digital Xplore and we are planning to publish a few paper in springer. It is planned to publish the peer-reviewed and selected papers of the conference as proceedings with Springer in their prestigious “Lecture Notes in Communications in Computer and Information Science” series ( For detailed instructions for authors and editors of conference proceedings, kindly visit the following link: Select papers from the conference will be published by Springer as a proceedings book volume. Springer will conduct quality checks on the accepted papers and only papers that pass these checks will be published.

Important Instructions

Original documents -Authors should only submit originally written documents.
No abstracts – No short manuscripts/abstracts are not considered.
Submissions – Submissions should strictly follow the recommended IEEE format of referencing. Limit your paper within 6 pages (IEEE Format).
Decision – The decision regarding the acceptance of the papers is at the discretion of the Technical Program Committee and weightage/ comments given by PC Members/Reviewers.
Final Acceptance/Rejection will be at Journal’s discretion.
TemplatePaper Template
Plagiarism Policy – Before uploading your papers, authors are requested to check the content on any online Plagiarism Checker. It must be less than 20%.
Best Paper Award – A BEST PAPER AWARD Certificate will be conferred to the author (Registered Author) of a full paper presented at the conference, selected by Conference Committee based on the originality assessed by the Program Committee, and presentation quality at the conference venue.

Technical Tracks

ICCMST 2022 welcomes original unpublished articles. It is invited for submission to following tracks including the topics, but are not limited to –

Track 1 – Internet of Things
  • IOT Communication & Networking Protocols
  • Internet of Everything
  • IOT Based Smart Cities
  • IOT Applications
  • Web Technologies for IOT
  • Automation using IOT
  • IOT : Future Internet Design
  • IOT Semantics
Track 3 – Machine Learning
  • Neural Networks
  • Fuzzy Systems
  • Computer Vision
  • Data Analytics, Blockchain & Bitcoin
  • Deep Learning
  • Machine Learning
  • Pattern Recognition
  • Artificial Intelligence
  • Big Data & Data Science
Track 5 – System Design & Methodologies
  • Rapid Application Development Methods
  • Computer Assisted Software Engineering Tools
  • Data Ware Housing and Data Mining
  • Social & Semantic Web Services
  • Soft Systems Methodology
  • Database Design
  • High Level System Design and Analysis
  • Intelligent & Interactive Systems
  • Virtual Systems
  • Conceptual & Service-oriented Modeling
  • Quality of design
  • Agent-oriented Software Engineering
  • Object Role & Business Process Modeling
  • Data and Application Architecture
  • System Design & Architecture
  • Structured Systems Analysis & Design Methods
Track 7 – ICT for Sustainable Environment
  • Data Design
  • Data Integration
  • Data Interchange format
  • Decision Support Systems
  • Distributed Information Systems
  • Ecological System Modeling
  • Eco-technologies
  • Embedded Sensor and Mobile Database
  • Environmental Issues in rural and urban areas
  • Forest Fires
  • Geographic Information Systems
  • Impact Assessments of agricultural and industrial activities
  • Interoperability between information system
  • Knowledge discovery and data mining
  • Model Driven Development and Model Driven Archiitecture
  • Multi-Agent System
  • Object-Oriented Systems modeling
  • Ontologies metadata and metamodeling
  • Precision farming
  • Requirements analysis
  • Risk assessments
  • Simulation and optimization of agricultural systems
  • Software Engineering
  • Uncertain and imprecise information management
  • Water Management
  • Web-based information systems
  • XML and Service Oriented systems (SOA)
Track 2 – Cloud Computing
  • Cloud Computing
  • Cognitive Computing
  • Edge Computing
  • Fog Computing
  • Green Computing
  • Grid Computing
  • Mobile Computing
  • Quantum Computing
Track 4 – Communication Networks
  • Wireless Sensor Networks & Security
  • Wireless Body Area Network
  • Vehicular Ad Hoc Networks
  • Software Defined Networks
  • Security through Biometrics
  • Quantum Cryptography
  • Mobile Ad Hoc Networks
  • Intrusion Detection Systems
  • High Performance Security Systems
  • Cognitive Radio
Track 6 – Big Data Analytics & Applications
  • Big Data in Social Media
  • Big Data in Government Schemes and Policies
  • Big Data in Technology
  • Big Data in Engineering and Management
  • Big Data in Fraud Detection, Forensics and Cyber Crime
  • Big Data in Education and ICT
  • Big Data in Smart Cities
  • Big Data and Artificial Intelligence
  • Big Data Applications in Security
  • Big DAta for Contest Aware Applications
  • Big Data in Sports
  • Systems and Technologies in Big Data
  • Big Data and Internet of Things
  • Big Data Analytics – Algorithms and Complexities
  • Big Data Architecture for Smart Applications
  • Machine Learning with Big Data for sustainable Development
  • Big Data in finance and sensex
  • Semantics of Big Data