7th International Conference on Data Science and Cloud Computing (DSCC 2026)

SCOPE

The 7^thInternational Conference on Data Science and Cloud Computing (DSCC 2026) brings together the global research community at a moment when data, intelligence, and scalable computing are reshaping every scientific and industrial frontier. As AI systems grow more capable, data ecosystems expand in complexity, and cloud infrastructures evolve into intelligent, autonomous platforms, the need for a unified forum that bridges these domains has never been greater.

DSCC 2026 serves as that meeting point, a space where breakthroughs in machine learning, data science, cloud architectures, and emerging computational technologies converge. The conference highlights both the theoretical foundations and the real world systems that power modern AI, from foundation models and multimodal learning to distributed training, edge intelligence, and quantum enhanced computation. It embraces the full spectrum of innovation: rigorous algorithms, scalable systems, responsible technology, and high impact applications across science, society, and industry.

Join us as we explore the technologies defining the future of computation and the ideas that will define the decade ahead.

Topics of interest

Track 1: Artificial Intelligence & Machine Learning

Foundation Models, LLMs, and Multimodal AI
Generative AI and Synthetic Data
Optimization for ML and Large Scale Training
Continual, Transfer, Meta Learning, and Lifelong Learning
Reinforcement Learning and Decision Making
Graph Machine Learning and Network Science
Theoretical ML and Generalization
Robustness, Adversarial ML, and OOD Generalization
Explainable, Interpretable, and Trustworthy AI
Neuroscience Inspired AI and Cognitive Modeling
Human AI Collaboration and Interactive ML

Track 2: Data Science, Analytics & Applications

Big Data Analytics and Knowledge Discovery
Time Series, Forecasting, and Anomaly Detection
Statistical Learning, Bayesian Methods, and Probabilistic Modeling
Data Visualization, Immersive Analytics, and HCI
Streaming Analytics and Real Time Data Processing
Data Quality, Cleaning, Provenance, and Reproducibility
Domain Applications:
Healthcare, Precision Medicine, Bioinformatics
Finance, Economics, and Risk Modeling
Social Media, Behavioral Analytics, Digital Society
Sustainability, Climate Science, Environmental Data
Education and Learning Analytics
Geospatial AI and Earth Observation
Computational Social Science

Track 3: Computer Vision, Multimodal & Embodied AI

2D/3D Vision, Scene Understanding, Video Analytics
Vision Language Models and Multimodal Fusion
Embodied AI, Robotics Perception, and VLA Models
Spatial Computing, AR/VR/MR Analytics
Digital Twins and Simulation Driven Perception

Track 4: Cloud Computing & Distributed Systems

Cloud Native AI/ML Systems
Distributed Training and Inference at Scale
Serverless Computing, FaaS, and Event Driven Systems
Cloud Edge Device Collaboration and Edge AI
High Performance Computing (HPC) for AI and Data Science
Cloud Storage, Data Lakes, Lakehouse, and Vector Databases
Cloud Observability, Reliability Engineering, and SRE
Networking for AI Workloads and High Performance Interconnects
Cost Optimization, FinOps, and Green Cloud Computing
Cloud based Data Science Platforms and MLOps

Track 5: Security, Privacy & Responsible Technology

Privacy Preserving ML (FL, DP, MPC)
AI Security, Model Integrity, and Watermarking
Secure Data Pipelines, Governance, and Compliance
Ethical AI, Fairness, Accountability, Transparency
AI Governance, Policy, and Regulation
Zero Trust Architectures and Confidential Computing

Track 6: Emerging Technologies & Interdisciplinary Research

IoT, Cyber Physical Systems, and Sensor Analytics
Edge Computing, TinyML, and On Device Intelligence
Quantum Computing and Quantum Machine Learning
AI for Scientific Discovery (AI4Science)
Autonomous Systems, Robotics, and Intelligent Control
AI Driven Software Engineering and Code Intelligence
Simulation Driven Science and Digital Twins

Paper Submission

Authors are invited to submit papers through the conference Submission System by March 07, 2026. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings (H index 45) in Computer Science & Information Technology (CS & IT) series (Confirmed).

Selected papers from DSCC 2026, after further revisions, will be published in the special issue of the following journals

The International Journal of Database Management Systems (IJDMS)

International Journal of Data Mining & Knowledge Management Process (IJDKP) 

International Journal on Cloud Computing: Services and Architecture (IJCCSA)

Information Technology in Industry (ITII)

Important Dates

Second Batch : Submissions after March 01, 2026

Submission Deadline : March 07, 2026

Authors Notification : April 04, 2026

Registration & Camera-Ready Paper Due : April 11, 2026