ICDDS 2025 invites high-quality original contributions from researchers, engineers, and subject matter experts from academia, industry, and start-ups to present their latest innovations in Data/Decision Systems (DDS) and their applications. The conference provides a unique forum for sharing interdisciplinary research, system design, and real-world applications grounded in data and decision science.

Rapid advances and growth in the connected world across different application domains are fast pacing the data volumes generated from a range of devices. Digital transformation and the systematic adoption of advanced Internet of Things (IoT), Cyber Physical Systems, and Smart Things further endorse such high growth. Data being the centre of innovative systems, its overall realization in solution building depends on several aspects such as data quality, data management, computation, knowledge discovery, decision support, etc. ICDDS 2025 aims to look broadly at data-based innovation and technologies in interdisciplinary areas. The conference is particularly interested in all aspects of data and decision science, applications, solution design, and system challenges in new paradigms, ranging from theory to applied research.

The areas of interest are broadly categorized into the following three streams:

(1) Foundational Research: theory to novel findings in all aspects of Data/Decision science

The topics of interest include, but are not limited to:

● Probabilistic Inference
● Online Learning
● Generative Models
● Large Language Models
● Data privacy
● New Computational Models for Big Data
● New Data Standards
● Multi-agent systems
● ML and Deep learning
● Data Mining and Optimization
● Text Analytics and NLP
● Time-series Analysis
● Information Retrieval
● Semantic-based Data Mining and Data Pre-processing
● Machine Reasoning and Hybrid AI

(2) Systems Research: system aspects of data/decision science

The topics of interest include, but are not limited to:

● CPU/GPU architectures for AI/ML applications
● VLSI and architecture design for data science applications
● Compiler optimization using AI/ML
● Algorithms and systems for database
● Systems for resource-constrained computing
● Systems for Big Data
● Energy-efficient computing and Inferencing architectures
● Software techniques and architectures in Cloud/Grid/Stream Computing
● Algorithms and systems for database
● Resource-constrained computing architectures

(3) Applications: real-world problems and their solution approach using data/decision science

● Data Science Use Cases
● Recommender Systems
● Bias and fairness
● Algorithm explainability
● Privacy, security, and trust
● Scalability
● Blockchain-based applications
● Data transparency
● Quantum-safe applications
● Lessons from real-world deployments
● Urban computing and analytics
● Multimedia Processing
● Social computing and analytics



Author Guidelines

  1. Submitted papers must be original, unpublished and not considered elsewhere for publication. Also, they must show a significant relevance to pervasive computing and communications.

  2. All Submitted papers will undergo a rigorous review process handled by the Technical Program Committee. Only electronic submissions in PDF format will be considered. Each paper will be subjected to three or more reviews.

  3. Research papers must not exceed 6 pages (10pt font, 2-column format), including appendix, acknowledgments and bibliography. Only electronic submissions in PDF format using the IEEE Conference template will be considered.

    1. All authors' details must be entered in the CMT during the submission of the manuscript. No extra author will be allowed to be added later if the manuscript is accepted.
    2. Papers can be submitted under any of the three main topics listed above. Authors are required to make a primary topic selection, with optional secondary topics for each paper. The number of papers accepted under each topic is not capped. We will accept all papers that meet the high quality and innovation levels required by the ICDDS conference. Accepted papers will be submitted for inclusion into IEEE Xplore subject to meeting IEEE Xplore's scope and quality requirements.
    3. ICDDS 2025 will follow a double-blind review process. Author information should not appear in the manuscript. As a result, authors must make a good-faith effort to anonymize their submissions.

  5. All papers are subjected to the IEEE Plagiarism/AI-generated Text policy. Click here

  6. All accepted papers must be presented in person by one of the authors, in addition to having an associated full registration. Failure to comply with this requirement will result in the exclusion of the paper from the final proceedings and from the IEEE Digital Library, and the paper will not be eligible for the Best Paper Award.

  7. Accepted, registered and presented papers will be submitted to IEEE Xplore.

  8. Authors must establish a CMT account with a username and password for carrying out all activities starting from paper submission to presentation.
  9. All papers must be submitted through the following Submission link: Click Here
  10. Any deviation or non-compliance to the submission guidelines of ICDDS 2025 in any form will lead to the rejection of the paper.

Acknowledgment: 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.





Important Dates
Paper Submission Starts: May 15, 2025
Full Paper Submission Deadline: July 31, 2025 (Hard Deadline)
Notification of Acceptance: September 30, 2025
Camera Ready Submission: October 20, 2025
Early Bird Registration Due: October 25, 2024
Final Registration: November 1, 2025
Conference Dates: December 4 - 6, 2025
Venue: Indian Institute of Information Technology, Dharwad

Submit your paper by clicking the button below: