EAMCON 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. The manuscript should not have been published in any journals/magazines or conference proceedings and should not be under review in any of them.
EAMCON 2025 will maintain a rigorous peer review process to ensure the quality, originality, and relevance of the accepted submissions. The process is as follows:
- 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 10-15% (excluding references/bibliography and all other sources). The paper has to be checked for similarity index with a word count of 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.
- Assignment to Reviewers: Manuscripts that pass the initial screening will be assigned to a minimum of two 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.
- Peer Review: EAMCON 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 .
- 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.
- 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.
- 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.
- 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 EAMCON 2025 maintains high standards of academic integrity and contributes significantly to the advancement of research in these critical fields.
Research/Review manuscripts are invited for the following two tracks topics
Track 1: Engineering Data Analytics
The following are the sub topics for Track 1
A) Data-Driven Decision Making in Engineering Systems : Harnessing AI for smarter engineering solutions
Machine Learning and AI Applications in Engineering
Deep Learning for Engineering Design and Optimization
Human-Centered Data Analytics in Engineering Design
AI-Driven Quality Control and Inspection Systems
B) Industrial Analytics and Smart Manufacturing: Data-driven innovation for modern industries
Big Data Analytics in Industrial and Manufacturing Engineering
Predictive Maintenance and Operational Efficiency
Digital Twins and Simulation Analytics
Edge and Cloud Analytics in Engineering Applications
C) IoT and Real-Time Engineering Data: From sensor data to actionable insights
IoT and Sensor Data Analytics for Smart Systems
Time Series and Streaming Data Analytics in Engineering
Cyber-Physical Systems and Engineering Informatics
Embedded Analytics and Edge AI in Industrial Environments
D) Biomedical and Healthcare Data Analytics: Converging engineering and medicine through data
Healthcare and Biomedical Engineering Analytics
Smart Wearables and Bio-Signal Analysis
Data-Driven Medical Device Optimization
AI in Clinical Engineering and Diagnostics
E) Sustainable Systems and Energy Analytics : Engineering insights for a greener future
Energy Analytics and Sustainable Engineering
Smart Grid and Renewable Energy Data Analysis
Environmental and Climate Data Analytics
Lifecycle Assessment Using Data Analytics
F) Reliability, Safety, and Risk Engineering: Making engineering systems safer and more resilient
Reliability and Risk Analytics in Engineering
Failure Prediction and Anomaly Detection
Safety Modeling Using Data Analytics
Uncertainty Quantification and Probabilistic Modeling
G)Engineering Education and Ethics: Improving learning outcomes and ensuring responsible innovation
Engineering Education Analytics
Learning Management System (LMS) Data Analysis
Ethics, Privacy, and Responsible Data Use in Engineering Analytics
Fairness and Bias Mitigation in Engineering Data Models
Track 2: Data Management
The following are the sub topics for Track 1
A) Data Architecture and Storage Systems: Laying the foundation for scalable and efficient data infrastructure
Modern Data Architectures for Engineering Applications
Cloud-Based Storage and Distributed Databases
Data Lake and Data Warehouse Integration Strategies
NoSQL, NewSQL, and Hybrid Data Systems
Data Modeling and Schema Design for Complex Systems
B) Data Governance and Quality: Ensuring data is clean, trusted, and well-managed
Data Governance Frameworks in Engineering Enterprises
Master Data Management (MDM) Strategies
Data Lineage, Provenance, and Traceability
Data Cleansing and Quality Assurance Techniques
Metadata Management and Standardization
C) Big Data Management and Processing: Handling large-scale data with modern tools and techniques
Big Data Ecosystems: Hadoop, Spark, and Beyond
Stream and Batch Data Processing Architectures
Data Ingestion, ETL/ELT, and Real-Time Pipelines
Performance Optimization for Scalable Data Systems
Data Curation and Preprocessing at Scale
D) Secure and Ethical Data Management: Protecting sensitive data while ensuring responsible use
Data Privacy, Anonymization, and De-identification
Secure Data Sharing and Access Control
Compliance with GDPR, HIPAA, and Industry Regulations
Ethical Considerations in Data Collection and Usage
Blockchain for Transparent and Auditable Data Management
E) Data Integration and Interoperability: Bridging diverse systems and datasets for unified insights
Semantic Data Integration and Ontology-Driven Systems
Data Fusion from Heterogeneous Engineering Sources
API Management and Interoperability in Data Systems
Cross-Domain Data Linking and Federation
Data Virtualization in Engineering Applications
F) Data Lifecycle and Retention: Managing data from creation to archival
Data Lifecycle Management in Engineering Projects
Archival Strategies and Long-Term Data Preservation
Data Retention Policies and Best Practices
Version Control and Change Management in Datasets
Automating Data Lifecycle through Policy-Based Engines
G) Intelligent Data Management Systems: Smarter systems for handling complex and evolving data needs
AI and ML for Automated Data Management
Self-Healing and Autonomous Data Platforms
Knowledge Graphs and Semantic Web for Engineering Data
Cognitive Data Management Systems
Context-Aware and Adaptive Data Workflows
Important Dates
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Call for Papers starts |
25 July, 2025
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Last Date of Paper Submission |
15 October, 2025 |
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Notification of Paper Decision |
25 October, 2025
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Registrations
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As soon as acceptence is received. Last date of registration is 30 October |
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Camera Ready Submission
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05 – 12 November, 2025
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Conference
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26-27 November, 2025
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Submission Guidelines
Guidelines for Submission of Paper
- Authors are invited to submit full length original research contributions and review articles between 6 to 12 pages in length, written in English.
- The standard page length for the manuscript is 6 and maximum page length is 12. After 12 pages extra page charges applies. Details on extra page charge can be found at Register Tab.
- The manuscript should strictly follow Springer proceeding Template. Download Word Template ; Download Latex Template
- Information on third party material e.g. images taken from other sources, the web, etc. (link)
- Code of Conduct for Authors (link)
- The manuscript should not have been published in any journals/magazines or conference proceedings and should not be under review in any of them.
- The accepted similarity percentage for this conference is between 10 to 15% (excluding references/bibliography and all other sources). If any paper is found to have a high similarity index, then the accepted limit mentioned above and up to 30%, it will be be returned to the author for modification. If the received paper is having more than 30% similarity index it will be desk rejected. Also, if the paper is found to be plagiarized at any stage during or after publication, it will be retracted immediately.
- All papers will be evaluated based on their novelty, fundamental insight, experimental evaluation, and potential for long-term impact; new-idea papers are encouraged.
- All submissions of papers must be made electronically via CMT in PDF/Word formats.The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.
Publication & Indexing
All the accepted and registered papers of EAMCON 2025 will be published as Atlantis Press Proceedings – a part of Springer Nature. The indexing and details about Atlantis Press – a part of springer Nature can be found here https://www.atlantis-press.com/
Important Downloads
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Atlantis Press – Springer Nature Template |
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Call For Paper Template |
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