The International Conference on Data Analytics and Management (ICDAM-2026) is organised with the objective of bringing together innovative scientists, professors, research scholars, students and industrial experts in the field of Computing and Communication to a common forum. The primary goal of the conference is to promote the exchange of innovative scientific information between researchers, developers, engineers, students, and practitioners. Another goal is to promote the transformation of fundamental research into institutional and industrialized research and to convert applied exploration into real time application. Overall the conference will provide the researchers and attendees with prospects for national and international collaboration and networking among universities and institutions from India and abroad for promoting research.
ICDAM-2026 will be held at London Metropolitan University, London, UK.
ICDAM-2026 will be an amalgamation of five different Tracks organized parallel to each other, as listed below:
Track 1: Data Analytics
Predictive Analytics and Forecasting Models
Sentiment Analysis and Opinion Mining
Real-time Stream Data Analytics
Social Media Data Analytics
Data Visualization and Dashboards
Anomaly Detection Techniques
Behavioral Analytics
Descriptive and Diagnostic Analytics
Text and Web Mining
Ethical and Privacy Issues in Data Analytics
Track 2: Data Management
Data Warehousing and OLAP
Data Governance and Compliance
Master Data Management
Metadata Management
Data Quality Assessment and Cleansing
Data Integration and Interoperability
Cloud-based Data Management
Distributed Data Systems
Data Lifecycle and Retention Policies
Semantic Data Management
Track 3: Big Data
Big Data Architectures and Frameworks (e.g., Hadoop, Spark)
Big Data Storage Solutions
Real-time Big Data Processing
Scalable Machine Learning on Big Data
Big Data Security and Privacy
Big Data in IoT Environments
Big Data for Healthcare and Smart Cities
Data Lake vs. Data Warehouse
Edge and Fog Computing in Big Data
Performance Optimization in Big Data Systems
Track 4: Computational Intelligence
Neural Networks and Deep Learning
Evolutionary Computation
Swarm Intelligence (e.g., PSO, ACO)
Fuzzy Systems and Rough Sets
Hybrid Intelligent Systems
Explainable AI (XAI)
Cognitive Computing
Computational Intelligence in Robotics
Reinforcement Learning
Intelligent Agents and Multi-Agent Systems
Track 5: Communication Networks
5G and Beyond Wireless Networks
Network Security and Intrusion Detection
Software-Defined Networking (SDN)
IoT and Sensor Networks
Mobile Ad-hoc Networks (MANETs)
Network Traffic Analysis and QoS
Cloud and Edge Network Architectures
Blockchain in Network Security
Network Virtualization and NFV
Green and Sustainable Networks
The papers submitted to the conference will be peer reviewed and published as proceedings in Springer.