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
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Track-2: Application of Computational Intelligence
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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
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Track-3: Advance Computing
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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
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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
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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
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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 |