Important Dates

Full Paper Submission

Sep 10th, 2024

Acceptance Notification

Oct 15th, 2024

Camera Ready Papers Due

Nov 1st, 2024

Paper Registration Due

Dec 1st, 2024

Symposium Days

Jan 29-30th , 2024

Publication & Indexing


The ISNIB aims at bringing together researchers and practitioners designing and deploying systems that belong to one of the six tracks of the symposium. Topics of interest include, but are not limited to:

Track 1. Artificial Intelligence

  • Multi-Agent systems
  • Ambient Intelligence
  • Smart cities, Smart houses, Smart grids
  • Robotics
  • IoT, Cloud Computing, cyber-physical systems
  • Genetic algorithms and evolutionary methods
  • Digital Twin (DTs)
  • Data-centric systems
  • Industry 4.0, Agriculture 4.0
  • Smart farming
  • Prognostic and Health Management
  • Deep learning

Track 2. Image and artificial life

  • Image synthesis
  • Artificial life
  • Image processing
  • Crowd simulation
  • Virtual environment
  • Automatic image & video annotation
  • Content-based image retrieval
  • Cryptography, steganography & watermarking
  • Image coding and compression
  • Image filtering, smoothing, and enhancement
  • Image segmentation, feature detection and extraction
  • Augmented and mixed reality
  • Biometrics, facial recognition
  • Object detection and recognition

Track 3. Software Engineering

  • Distributed, complex, embedded and critical systems
  • Business process modeling, software production lines
  • Formal specification, modeling and verification
  • Reconfigurable systems development
  • Blockchain, IoT, Cloud Computing

Track 4. Computer Networks

  • Intrusion Detection
  • 5G networking
  • Wireless networking
  • Intelligent Network Technologies for the IoT
  • Software-defined networks (SDN),
  • Wireless sensor networks and Intelligent Networks
  • IoT, Cloud computing, Edge computing

Track 5. Data mining and optimization

  • Theory, algorithms and models of data mining
  • Machine learning for data mining
  • Statistical methods for data mining
  • Data mining systems
  • Data mining in personalization and recommendation
  • Similarity-Based Reasoning
  • Data models and architectures
  • Algorithmic Game Theory
  • Sub-modular Optimization
  • Graph Theory and Graph Algorithms
  • Combinatorial Optimization
  • Scheduling
  • Optimization Algorithms in Machine Learning

Track 6. Parallel Computing and Systems

  • Software-defined fog node in blockchain architecture
  • Multi clustering approach in mobile edge computing
  • Distributed computing & smart city services
  • Geo distributed fog computing
  • Distributed trust protocol for IaaS cloud computing
  • Parallel vertex-centric algorithms
  • Partitioning algorithms in mobile environments
  • Distributed computing with delay tolerant network

Submissions & Publication Guidelines

Papers should describe original and unpublished work about the above or related topics. All manuscripts will be reviewed by three members of the program committee. Authors are invited to submit their papers in English of up to 6 double-column pages IEEE format, with up to 2 extra pages with additional fees. The format of the paper should follow IEEE guidelines for the two-column IEEE-sponsored conference proceedings. Templates for Microsoft Word and LaTeX are available here . Authors may use the online submission system hosted by CMT microsoft system to submit their papers. The submission Web page for ISNIB'2025 can be found here (CMT microsoft system). Only the papers that have not been published or presented in any way will be accepted for ISNIB'2025.

Note: The conference submission system only accepts manuscripts in PDF A4 format (before the revision manuscripts do not have to be checked by IEEE PDFXpress).

Evaluation criteria


The evaluation of the paper contribution is the most critical part. Papers with little contributions are likely to be recommended for a reject by the reviewers.

Researchers are invited to submit a paper with a clear and new contribution to the state-of-the-art. Theoretical and practical contributions are both accepted. Technical contributions cloud be related to developing new theoretical models or demonstrating practical concepts, tools, deployment experiments, application use cases, successful or failed stories, technology transfer, or investigate open problems. For papers related to practical contributions, authors must clearly explain the work being done and provide insights into the lessons learned.

It is essential to clearly state and enumerate the contributions of the paper at the end of the introduction or in the related works section. The authors must formulate the research question(s) addressed in this paper and describe the solution that proposes and why it advances state of the art.

We strongly encourage researchers to present experimental or simulation evaluations wherever they are appropriate. These can be achieved by using actual implementations, simulations, or data from case studies, tests, or real machine models. The validation of the contribution is as important as the contribution itself. The validation of the work must be applicable in a general context and not to carefully chosen scenarios that put favor to the proposed approaches.


Authors must submit original work not published before or not considered for publication elsewhere. They are required to explicitly explain the difference between their contribution and the current state-of-the-art (including their previous work). In the related works section, the authors must discuss and compare the state-of-the-art approach against what they are proposing in their paper and emphasis the novelty of the presented works. The authors also have to discuss the technical limitation of their approaches and provide an unbiased opinion about the advantages and disadvantages of their approach.

Plagiarism is strictly prohibited, and any serious plagiarism case will be automatically discarded from the conference program without any review.

Technical consistency

Technical consistency is a mandatory acceptance prerequisite. It's the authors' duty, with whatever means the authors consider appropriate, to persuade examiners of the technical correctness of their article. To increase confidence in practical and theoretical findings and enhance their reusability, we encourage open source projects as well as computerized proofs. The authors have to provide all the assumptions made in their approach and discuss the implication of these assumptions in the obtained results. Experimental settings must be described with all details that allow the reader to be able to reproduce the experiments and verify the results.

Writing quality

The quality of writing is of great significance. A paper that is poorly written will be likely considered as reject by the reviewer even if it provides a good contribution. To ensure the reader accurately understands and evaluates the technical contribution, this paper needs to be well structured and written. We hope that the authors will update their text and reduce the number of typos and grammatical errors. It is recommended to use professional automated tools for proofreading the paper before submission.Acknowledgments. These instructions are a customized version of the evaluation criteria of ISNIB'2022.