CALL FOR PAPER

Submission Process:

The submission and review process for DSNGT-2025 will be done through CMT, an online manuscript management system. The authors will upload the abstracts and manuscripts using their CMT account on or before the deadlines. The plagiarism of the paper must be below 15%. The authors can also check the status of their manuscript during the review process.

*The Full-length Paper is approximately of 10 pages for Submission.


Review Process:

Once the manuscript submission deadline is over, the scientific committee will initiate the review process and inform the authors of the final outcome in time. All the manuscripts will pass through a double-blind review process by anonymous reviewers and will be managed through the CMT publication system. For any problem that an author may encounter during the review process, the author can contact us.



Important Dates
Paper Submission Starts 15.01.2025
Last date of Paper Submission 30.04.2025
Notification of Acceptance 20.05.2025
Submission of Camera-Ready Copy 25.05.2025
Last Date of Registration 30.05.2025


Call for Contributions:


Prospective authors are kindly encouraged to contribute to the shape of the conference through submissions of their research abstracts, papers and e-posters. Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Applications in Software Engineering, Next Generation Technologies are cordially invited for presentation at the conference. The conference solicits contributions of abstracts, papers and e-posters that address themes and topics of the conference, including figures, tables and references of novel research materials.

The program includes time allocated for networking, peer-to-peer discussions, and exploring the host city. We invite the participation of leading academic scientists, researchers and scholars in the domain of interest from around the world to submit original research contributions relating to all aspects of the following (But not limited to):

Data Science Fundamentals

  • Data Mining and Knowledge Discovery
  • Statistical Learning and Data Analysis
  • Data Visualization Techniques
  • Big Data Management and Analytics
  • Data Warehousing and ETL Processes
  • Cloud Computing for Data Science
  • Scalable Data Architectures
  • Data Governance and Compliance

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Machine Learning and Artificial Intelligence

  • Deep Learning and Neural Networks
  • Natural Language Processing
  • Reinforcement Learning
  • AI Ethics and Governance
  • Generative AI and Creative Applications
  • Autonomous Systems and Robotics
  • Human-Centered AI and User Experience
  • Ethical and Responsible AI
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Next-Gen Technologies

  • Quantum Computing in Data Science
  • Blockchain and Data Security
  • Internet of Things (IoT) and Data Integration
  • Edge Computing and Real-Time Analytics
  • 5G and Beyond
  • Cyber-Physical Systems (CPS)
  • Augmented Reality (AR) and Virtual Reality (VR)
  • Human-Machine Interaction (HMI)
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Applications of Data Science

  • Healthcare and Bioinformatics
  • Financial Analytics and FinTech
  • Smart Cities and Urban Analytics
  • Environmental and Climate Data Science
  • Predictive and Prescriptive Analytics
  • Time Series Analysis and Forecasting
  • Anomaly Detection and Fraud Detection
  • Optimization and Decision Analytics
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