Full Paper Submission Date
July 31, 2025
Notification of Acceptance
Aug 31, 2025
Revised Paper Submission
Sep 15, 2025
Early Bird Registration
Sep 30, 2025
Late Registration
Oct 15, 2025
Conference Dates
Dec 15-16, 2025

23rd & 24th December, 2024

7th
INTERNATIONAL CONFERENCE ON INFORMATION MANAGEMENT & MACHINE INTELLIGENCE

Poornima Institute of Engineering and technology

Sitapura Jaipur, Rajasthan


Preamble

7th International Conference on Information Management & Machine Intelligence (ICIMMI- 2024) will be held at Poornima Institute of Engineering & Technology, Jaipur, Rajasthan, India on December 15-16, 2025.

The ICIMMI-2024 conference aims to showcase the latest trends in the development of intelligence across all areas of Information Management. The current state of the technology industry has permeated all branches of engineering, from Infrastructure (Civil Engineering) and Machines & Automobiles (Mechanical Engineering) to Power & Energy (Electrical Engineering), Communication & Devices (Electronics & Communication), and IT-based Applications & Services (Computer Engineering & IT), particularly with the advent of AI, Machine Learning, and Deep Learning. Our goal for this conference is to gather academic and research contributions from experts working to provide intelligence to their machines and systems.


Past Publication Partners

Objectives

The main objective of this conference is to provide a platform for researchers, academicians, industry professionals, and students to showcase their expertise and knowledge in the latest developments and strategies in the field of Information Management and Machine Learning. It is expected to receive a large number of high-quality submissions and foster innovative research discussions among scholars, scientists, engineers, and students from all over the world.

Other Objectives of the conference include:
  • Encouraging the proposal of new technologies, sharing of experiences, and discussion of recent developments and strategies in the field of Information Management and Machine Learning.
  • Providing a common platform for academic pioneers to share their views and achievements, and for participants to network and collaborate.
  • Enhancing the knowledge and skills of technocrats and academicians by presenting original and productive information.
  • Highlighting pioneering issues internationally by bringing together experts from different countries.
  • Promoting interdisciplinary collaborations to explore the integration of information Management and Machine Learning across diverse domains.
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Visitors


Technically Co-Sponsored by

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Indian Society for Technical Education

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Computer Society of India

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The Institution of Engineers