Conference Track

ICDMIS 2025
Conference Tracks

Track-1: Intelligent Algorithms for Data Analytics

Data Science Techniques and Applications
Data Warehousing and Data Mining
Rough Set and Fuzzy Set Theory
Hybrid and Distributed Algorithms
Parallel Computing
Genetic Algorithm
Swarm Intelligence
Graph Algorithms
Large Language Model
Evolutionary Strategies
Artificial Immune Systems
Multi-Agent Systems
Mathematical Optimization
Uncertainty analysis
Optical Networks
Bio-inspired Computing
Natural Language Processing
Blockchain and Secure Data Analytics


Track-2: Application of Computational Intelligence

Computational Geometry
Agricultural Informatics
Medical Informatics
Disaster Management
Social Network Analysis
Text, Audio and Video data Analysis
Bio Informatics
Robotics and Automation
Cloud Configuration
Green Computing and ICT
Control systems &Automation
E-commerce and E-Learning
Power Control
Business Analytics
Safety Management
Image and Signal processing
Remote sensing, GIS and GPS


Track-3: Advance Computing

Generative AI
Data mining in Dynamic Environment
Hybrid Computing
Big Data Analytics
Deep Learning
Higher Order Neural Computing
Fog computing
Internet of Things
Immunological Computing
Nature inspired computing techniques
Randomized Algorithms
Stochastic Optimization
Information and Network Security
Mobile Computing
Quantam Computing
Explainable AI


Track-4:Next-Gen Network Security & Telecommunications: Threats, Innovations & Future Trends

Zero Trust Architecture: Implementation and Best Practices
AI-Driven Threat Detection and Response Systems
Blockchain for Secure Network Communication
Cybersecurity Risks in 5G and Beyond Networks
Secure Authentication Mechanisms: Multi-Factor and Biometric Security
Securing IoT Networks: Challenges and Countermeasures
Quantum Cryptography in Telecommunications Security
Software-Defined Networking (SDN) Security Threats and Mitigation
6G Network Security: Preparing for the Next Generation
Insider Threats in Telecommunications Infrastructure
Secure Network Function Virtualization (NFV) and Cloud Computing
Privacy and Security Concerns in Edge Computing Networks
AI-Based Intrusion Detection and Prevention Systems in Cloud Networks
End-to-End Encryption in Mobile and Wireless Communications
Secure Data Transmission Protocols in Smart Cities and Smart Grids
Deep Learning for Cyber Threat Prediction and Prevention
Ethical Hacking and Penetration Testing in Network Security
Digital Twin Technology for Cybersecurity in Telecommunications
Cybersecurity Frameworks for Critical Infrastructure Protection
Regulatory and Compliance Challenges in Telecommunication Security


Track-5:Advances in Electronic Systems & Circuits

Low-Power and High-Efficiency Analog Circuits
Advanced Digital Signal Processing (DSP) Architectures
Mixed-Signal Circuit Design for IoT Applications
Neuromorphic Circuits for AI and Machine Learning
High-Speed Data Converters: ADCs and DACs
Power Management Circuits for Wearable and Embedded Systems
GaN and SiC-Based Power Electronic Devices
Wireless Power Transfer and Energy Harvesting Circuits
Smart Grid Electronics and Renewable Energy Systems
Energy-Efficient DC-DC and AC-DC Converters
5G and 6G RF Circuit Design and Implementation
Antenna Design and Smart Beamforming Circuits
Ultra-Wideband (UWB) Communication Systems
High-Frequency MMICs (Monolithic Microwave Integrated Circuits)
Millimeter-Wave and Terahertz Circuits for Next-Gen Communication
FPGA-Based System Design for Real-Time Applications
ASICs and SoCs for AI and Edge Computing
Reconfigurable and Adaptive Circuit Architectures
AI-Driven Design Automation for Electronic Circuits
Hardware Security and Fault-Tolerant Circuit Design


Track-6:Advances in Pattern Recognition and Information Retrieval

Machine Learning-Based Approaches for Pattern Recognition
Deep Learning Architectures for Image and Speech Recognition
Feature Extraction and Dimensionality Reduction Techniques
Explainable AI (XAI) in Pattern Recognition
Multimodal Pattern Recognition: Integrating Text, Audio, and Video
Neural Information Retrieval (Neural IR) and Transformer Models
Query Expansion and Relevance Feedback Mechanisms
AI-Driven Personalized Search and Recommendation Systems
Semantic Search and Knowledge Graph-Based Information Retrieval
Big Data Analytics for Large-Scale Information Retrieval
Face and Object Recognition Techniques in Real-World Applications
Optical Character Recognition (OCR) and Document Analysis
Video Content Analysis and Action Recognition
Medical Image Analysis for Disease Diagnosis
Pattern Recognition for Autonomous Vehicles and Robotics
Information Retrieval in Social Media and Fake News Detection
Privacy-Preserving Search and Federated Learning in IR
Cross-Language and Multilingual Information Retrieval
Real-Time Data Mining for Streaming Data and IoT
Ethical and Fairness Considerations in AI-Based Pattern Recognition