4th International Conference on Soft Computing, Data mining and Data Science (SCDD 2026)

Program Committee

Accepted Papers

Virtual Conference

Scope
The 4^th International Conference on Soft Computing, Data mining and Data Science (SCDD 2026) serves as a premier international forum for presenting and exchanging the latest innovations, research findings, and developments across the rapidly evolving fields of Soft Computing, Data Mining and Data Science. As intelligent systems, large scale data analytics, and advanced machine learning continue to transform science, engineering and industry, SCDD 2026 aims to bring together researchers, practitioners, and industry experts to explore both foundational advances and emerging applications.

The conference welcomes significant contributions that address theoretical frameworks, methodological progress, system architectures, and real world implementations. By fostering collaboration between academia and industry, SCDD 2026 provides a dynamic platform for discussing cutting edge techniques, identifying new research directions, and sharing practical insights that shape the future of intelligent and data driven technologies.

Authors are invited to submit high quality research papers, case studies, survey articles, and industrial experiences that demonstrate substantial advances in the field. Submissions may address, but are not limited to, the topics listed below.

Call for Papers

The conference welcomes significant contributions that address theoretical frameworks, methodological progress, system architectures, and real world implementations. By fostering collaboration between academia and industry, SCDD 2026 provides a dynamic platform for discussing cutting edge techniques, identifying new research directions, and sharing practical insights that shape the future of intelligent and data driven technologies.

Authors are invited to submit high quality research papers, case studies, survey articles, and industrial experiences that demonstrate substantial advances in the field. Submissions may address, but are not limited to, the topics listed below.

Topics of interest include, but are not limited to, the following

Soft Computing, Bio Inspired Intelligence and Hybrid Systems

Foundations of Soft Computing
Soft Computing Theory and Hybrid Soft Computing Models
Fuzzy Logic, Fuzzy Systems and Neuro Fuzzy Models
Rough Sets, Soft Sets and Granular Computing
Probabilistic Reasoning and Uncertainty Modeling
Evolutionary Computing and Genetic Algorithms
Swarm Intelligence and Collective Intelligence
Nature Inspired and Bio Inspired Computing
Artificial Immune Systems
Multi Agent Systems and Distributed Intelligent Systems
Reactive Distributed AI and Autonomous Agents
Hybrid Intelligent Systems and Cognitive Computing

Emerging Soft Computing Themes

Explainable Soft Computing and Interpretable Intelligent Systems
Soft Computing for Optimization and Decision Support
Soft Computing for Robotics, CPS and Autonomous Systems
Soft Computing for Edge/Embedded Intelligence
Soft Computing for Sustainable and Green AI

Machine Learning, Deep Learning and Advanced AI

Core Machine Learning
Supervised, Unsupervised and Semi Supervised Learning
Reinforcement Learning and Multi Agent RL
Transfer Learning, Meta Learning and Continual Learning
Learning from Noisy, Imbalanced and Low Quality Data
Online Learning, Streaming ML and Adaptive Models
Feature Engineering, Feature Selection and Dimensionality Reduction

Deep Learning and Foundation Models

Deep Neural Networks, CNNs, RNNs, Transformers
Foundation Models and Large Language Models (LLMs)
Retrieval Augmented Generation (RAG)
Multimodal AI (Vision + Text + Audio + Sensors)
Vision Language Models (VLMs) and Vision Language Action (VLA) Models
Generative AI: GANs, Diffusion Models and Synthetic Data
Graph Neural Networks and Graph Foundation Models
Self Supervised and Contrastive Learning
Efficient ML: Pruning, Quantization, Distillation, TinyML

Advanced AI Paradigms

Agentic AI and Autonomous AI Systems
Program Synthesis, Code LLMs and AI for Software Engineering
Causal Machine Learning and Causal Discovery
Neuro Symbolic AI and Hybrid Reasoning
Automated Machine Learning (AutoML) and Neural Architecture Search
AI for Scientific Discovery and Computational Science
Embodied AI and Robot Learning

Responsible and Trustworthy AI

Explainable AI (XAI) and Model Interpretability
Fairness, Accountability, Transparency and Ethics in AI
Adversarial ML, Robustness and Safety
Privacy Preserving ML (DP, FL, MPC)
AI Governance, Regulation and Alignment
LLM Safety, Hallucination Mitigation and Evaluation

Data Mining, Knowledge Discovery and Big Data Analytics

Foundations of Data Mining
Classification, Regression, Clustering and Association Rules

Outlier Detection, Anomaly Detection and Novelty Discovery
Pattern Recognition and Statistical Learning
Data Pre Processing, Cleaning and Transformation
Knowledge Representation, Reasoning and Inference

Advanced Data Mining Techniques

Graph Mining, Network Mining and Temporal Graph Learning
Spatial, Temporal and Spatio Temporal Data Mining
Data Stream Mining and Real Time Analytics
High Dimensional Data Mining and Feature Selection
Mining from Noisy, Incomplete and Low Quality Data
Concept Drift, Evolving Data and Dynamic Models
Causal Discovery and Causal Representation Learning

Big Data and Scalable Analytics

Big Data Frameworks, Architectures and Pipelines
Distributed and Parallel Data Mining Algorithms
Cloud Native Data Processing and Serverless Analytics
Big Data Search, Indexing and Retrieval
Big Data Security, Privacy and Governance
Data Lakes, Lakehouse Architectures and Data Warehousing

Knowledge Discovery and KDD Process

Knowledge Discovery Frameworks and Pipelines
Pre and Post Processing in KDD
Interactive Data Exploration and Visual Analytics
Integrating Constraints and Domain Knowledge in KDD
Causal Inference, Predictive Modeling and Knowledge Consolidation

Data Science, Applications and Modern Data Ecosystems

Data Science Foundations
Data Science Methodologies and Best Practices
Statistical Modeling, Forecasting and Time Series Analysis
Time Series Foundation Models and Spatio Temporal Forecasting
Information Retrieval, Neural IR and Search Systems
Data Visualization and Visual Data Mining

Domain Specific Data Science

Healthcare and Biomedical Data Science
Educational Data Mining and Learning Analytics
Disaster Prediction, Climate Analytics and Environmental Data Science
Financial Data Science, Risk Analytics and Fraud Detection
Industrial Data Science and Smart Manufacturing

Modern Data Ecosystems

Data Engineering, Pipelines and MLOps
Data Versioning, Lineage and Data Observability
Data Quality Engineering and Data Reliability
Graph Databases, Knowledge Graphs and Semantic Data Systems
IoT Data Analytics and Sensor Data Processing
Text, Video, Multimedia and Web Mining
Social Media Analytics and Behavioral Data Science

Emerging Data Science Trends

Data Centric AI and Data Quality Optimization
Synthetic Data Ecosystems and Evaluation
Human in the Loop Data Science
Responsible Data Science and Ethical Data Practices
Vector Databases, Embedding Stores and Retrieval Systems
Privacy Preserving Data Systems and Secure Data Collaboration

Paper Submission

Authors are invited to submit papers through the conference Submission System by May 02, 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 International Journal on Cybernetics & Informatics (IJCI) (Confirmed).

Selected papers from SCDD 2026, after further revisions, will be published in the special issue of the following journal.

Important Dates

Third Batch : Submissions after April 21, 2026

Submission Deadline

May 02, 2026

Authors Notification

May 21, 2026

Registration & camera - Ready Paper Due

May 25, 2026

Proceedings

The soft copy of the proceedings will be available on Journal web pages.

The Registration fee is 250 USD for accepted article Authors. Atleast one author of accepted paper is required to register at the full registration rate.

Welcome to SCDD 2026