Call for Papers

CISCom 2025 invites full-length original research contributions from science and engineering professionals from industries, R&D organizations, academic institutions, government departments, and research scholars worldwide. The manuscript should contribute original research ideas, developmental ideas, analysis, findings, results, etc. Authors are invited to submit full-length original research contributions and review articles between 6 to 13 pages in length, written in English, with a maximum length of single-spaced, single-column pages using 10pt size, including all figures, tables, and references. Please note that the minimum page length for the manuscript is 6 and maximum page length is 13. The manuscript should not have been published in any journals/magazines or conference proceedings and should not be under review in any of them.

CISCom 2025 is organized into two distinct themes, each targeting a specific aspect of intelligent systems.

Theme 1: Computational Intelligence for Automated Information Processing

This theme concentrates on leveraging advanced computational intelligence techniques to automate and optimize data processing and information retrieval. It emphasizes the development of adaptive, self-learning systems that mitigate human bias and enhance the efficiency of information systems. The subtopics include:

  • Explainable AI (XAI) for Information Retrieval: Enhancing transparency and interpretability in automated information retrieval systems.
  • Reinforcement Learning for Adaptive Information Systems: Utilizing reinforcement learning to create systems that dynamically adjust to changing data environments.
  • Automated Image Analysis for Pattern Recognition: Applying intelligent image processing methods to detect and interpret complex visual patterns.
  • Large Language Models (LLMs) for Automated Information Processing: Leveraging state-of-the-art language models to streamline and automate data handling.
  • Quantum Computing for High-Dimensional Data Analysis: Exploring quantum-based methods to efficiently process and analyze large-scale, high-dimensional datasets.
  • Semantic Search using NLP and Knowledge Graphs: Integrating natural language processing with semantic technologies to enhance search accuracy.
  • Generative AI Content Generation & Curation: Harnessing generative models for automated content creation and intelligent curation.
  • Deep Learning for Automated Feature Engineering: Implementing deep learning techniques to automate the extraction of meaningful features from data.


Theme 2: Soft Computing based Intelligent Solutions for a Smarter Society

This theme is designed to explore how soft computing methodologies can be applied to develop intelligent, real-world solutions that improve societal well-being. It highlights the adaptability and robustness of soft computing in handling uncertainty and complex challenges across various domains. The subtopics include:

  • AI in Healthcare Information Systems and Decision Support: Developing intelligent systems to enhance healthcare delivery and decision-making processes.
  • Intelligent Cybersecurity and Fraud Detection: Advancing soft computing techniques to bolster  cybersecurity measures and detect fraudulent activities.
  • Fuzzy Logic-based Disease Diagnosis and Prognosis Systems: Utilizing fuzzy logic to improve  diagnostic accuracy and patient prognosis.
  • Soft Computing for Precision Farming and Crop Yield Prediction: Applying adaptive algorithms to optimize agricultural practices and forecast crop outcomes.
  • Bio-Inspired Algorithms for Privacy-Preserving: Innovating algorithms inspired by natural processes  to enhance data privacy.
  • Hyperparameter Optimization for Robust Network Architectures: Refining network performance through advanced optimization strategies.
  • Blockchain and Soft Computing Integration for Secure Transactions: Combining blockchain technology with soft computing to create secure and efficient transaction systems.
Peer Review Process
CISCom 2025 will maintain a rigorous peer review process to ensure the quality, originality, and relevance of the accepted submissions. The process is as follows: 

a) Initial Screening: The plagiarism detection software Turnitin will initially screen all the submitted manuscripts. Only the paper that passes the accepted limit of the similarity index will be forwarded for review. The accepted similarity percentage for this conference is 15% (including references/bibliography and all other sources). The paper has to be checked for similarity index with a word count less than 3 in the setting). If any paper is found to have a high similarity index, then the accepted limit mentioned above will be outright rejected without sending it out for review. Also, if the paper is found to be plagiarized at any stage during or after publication, it will be retracted immediately.

b) Assignment to Reviewers: Manuscripts that pass the initial screening will be assigned to a minimum of three reviewers with expertise in the relevant fields. Reviewers are selected from the Program Committee and external subject-matter experts to ensure a balanced and unbiased evaluation.
 
c) Single Blind Peer Review: CISCom 2025 will follow a single-blind peer review process. Reviewers will evaluate the manuscript based on: Originality and significance of the research; Technical quality and soundness; Relevance to conference themes; Clarity and organization of the presentation ; Contribution to the field .

d) Reviewer Feedback: Reviewers provide detailed comments, suggestions, and recommendations (accept, minor revisions, major revisions, or reject). Authors receive this feedback to improve their work as necessary. 

e) Decision Making: Based on the reviewers’ recommendations and comments, the Program Chairs will make the final decision on acceptance, revision, or rejection of each manuscript. In cases of conflicting reviews, a third reviewer or the Program Chairs may provide additional input. 

f) Revision and Resubmission: If revisions are required, authors must submit the revised manuscript within the given timeline. Revised submissions are reviewed to ensure all concerns raised by the reviewers have been adequately addressed. 

g) Final Acceptance and Notification: Accepted manuscripts are notified to the authors, and the final version is requested for inclusion in the conference proceedings. Authors must ensure compliance with formatting and copyright guidelines. 

This rigorous peer review process ensures that CISCom 2025 maintains high standards of academic integrity and contributes significantly to the advancement of research in these critical fields.

© 2025 First International Conference on Computational Intelligence and Soft Computing. All Rights Reserved.