Call For Paper
Original contributions from researchers describing their original, unpublished, research contribution which is not currently under review by another conference or journal and addressing state-of-the-art research are invited to share their work in all areas of Information and Communication Technologies and its applications in field for engineering and management but not limited to the conference tracks.
Prospective authors are invited to submit paper(s) with 10 pages standard size and extension in pages possible written in A4 size (Springer format) at avaliable at:
https://resource-cms.springernature.com/springer-cms/rest/v1/content/19242230/data/v15
Authors are required to also adhere to the Springer Policy and Procedures on Plagiarism available at http://goo.gl/JWNxeM
IMPORTANT DATES
On behalf of the Organizing Committee, we take the pleasure of inviting you to ICIDS 2025 which will be held on Nov 27-28, 2025.
Full Paper Submission by
30th September 2025
Decision
Within 30 Days of Paper Submission
Registration Deadline
30th October 2025
Conference Date
27th – 28th November 2025
SUBMISSION GUIDELINES
Authors are kindly invited to submit their formatted full papers including results, tables, figures and references. All submissions are handled through the CMT at:
Author Guideline for the Paper Submission : Advisory guidelines for the author to read before the submit paper.
conference tracks
Papers are solicited from, but not limited to the following topics:
Track 1: Data Science in Medicine
- Medical Diagnosis with AI
- AI-powered Radiology and Imaging
- Natural Language Processing in Healthcare
- Predictive Analytics in Healthcare
- AI in Clinical Decision Support
- AI for Drug Repurposing
- AI-enhanced Surgical Systems
Track 2: Data Science in Autonomous Systems
- AI for Autonomous Vehicles
- Machine Learning for Autonomous Drones
- AI in Self-navigating Robots
- Natural Language Processing in Human-Robot Interaction
- AI-driven Smart Cities and Infrastructure
- Reinforcement Learning in Autonomous Systems
- AI in Agriculture Automation
Track 3: Machine Learning
- Machine Learning Optimization
- Unsupervised Learning
- Supervised Learning
- Hybrid Machine Learning Systems for Data Science
- Data Science and Machine Learning
- Generative AI
- Transfer Learning
Track 4: Deep Learning and Data Science
- Deep Neural Networks Optimization Algorithms
- Deep Recurrent Neural Networks
- Deep Feedforward Networks
- Inference Dependencies on Multi-Layered Networks
- Sequence Modelling
- Deep Convolutional Neural Networks
- Multi-Scale Deep Architecture and Learning
Publication & Indexing
Publication
ICIDS 2025 presented papers will be published in conference proceedings by Springer LNNS. book series “Lecture Notes in Networks and Systems” (LNNS) series, which is indexed by SCOPUS, EI Compendex, INSPEC, WTI Frankfurt eG, zbMATH, and SCImago. Link
Paper Submission
Authors are kindly invited to submit their formatted full papers including results, tables, figures and references. All submissions are handled through the CMT : Link