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NGISE 2025 : 1st International Conference on Next Generation Information System Engineering | |||||||||||||||
Link: https://ngise.org/ | |||||||||||||||
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Call For Papers | |||||||||||||||
Call For Papers: IEEE NGISE2025 tracks: We are accepting submissions to the following tracks /sub tracks:
Track-1: Information System Engineering Enterprise Architecture and Systems Integration Data Modeling and Database Design Business Process Management and Automation Information Systems Security and Privacy User Experience and Interface Design in Information Systems Agile Methods in Information Systems Development Information Systems for Healthcare Internet of Things (IoT) and Information Systems Sustainability in Information Systems Track-2: Machine Learning and Deep Learning to Artificial Intelligence Neural Networks and Deep Learning Architectures Natural Reinforcement Learning and Autonomous Systems Transfer Learning and Domain Adaptation Explainable AI and Model Interpretability Natural Language Processing and Understanding Computer Vision and Image Recognition Generative Models and Adversarial Networks AI Ethics and Fairness in Machine Learning Scalable Machine Learning for Big Data AI in Healthcare and Bioinformatics Robotics and Intelligent Agents AI in Cybersecurity and Fraud Detection AI for Edge and IoT Devices Hybrid AI Systems and Multi-Model Integration Track-3: Green and Sustainable IT Systems and Algorithms Energy-Efficient Computing and Data Centers Green Cloud Computing and Virtualization Sustainable Software Engineering Practices Low-Power and Energy-Aware Algorithms Green Networking and Communication Technologies Carbon Footprint Reduction in IT Systems Resource Management and Optimization for Sustainability Renewable Energy Integration in IT Infrastructure Eco-Friendly Hardware Design and Development Sustainable AI and Machine Learning Models Lifecycle Assessment of IT Products and Services Sustainable Data Storage and Management Solutions Green IT Policies and Regulatory Compliance Sustainable Supply Chain Management in IT Track-4: Data Mining and Knowledge Discovery Advanced Techniques in Pattern Recognition Scalable Algorithms for Big Data Mining Anomaly Detection and Outlier Mining Text Mining and Natural Language Processing Graph Mining and Network Analysis Mining Unstructured and Semi-Structured Data Association Rules and Frequent Pattern Mining Time Series Analysis and Forecasting Web Mining and Social Media Analytics Spatial and Temporal Data Mining Data Mining for Cybersecurity and Fraud Detection Ethics and Privacy in Data Mining Knowledge Representation and Ontology Learning Interactive Data Mining and Visual Analytics Applications of Data Mining in Healthcare and Bioinformatics Track-5: Big Data Engineering Distributed Systems for Big Data Processing Data Storage and Management in Big Data Systems Big Data Integration and Interoperability Real-Time Data Streaming and Processing Scalable Data Architectures and Infrastructures Big Data Analytics and Visualization Data Quality and Cleaning in Large-Scale Systems Security and Privacy in Big Data Cloud-Based Big Data Solutions High-Performance Computing for Big Data Machine Learning at Scale in Big Data Big Data in the Internet of Things (IoT) Energy-Efficient Big Data Solutions Data Governance and Compliance in Big Data Emerging Technologies and Trends in Big Data Engineering Track-6: Next Gen Cloud Computing Solutions Serverless Computing and Function-as-a-Service (FaaS) Edge Computing and Cloud-Edge Integration Hybrid Cloud Architectures and Multi-Cloud Strategies Cloud-Native Application Development AI and Machine Learning in Cloud Computing Cloud Security and Zero Trust Architectures Cloud Automation and Infrastructure as Code (IaC) High-Performance Computing (HPC) in the Cloud Cloud-Based DevOps and Continuous Integration/Continuous Deployment (CI/CD) Sustainable and Green Cloud Solutions Quantum Computing in the Cloud Blockchain and Distributed Ledger Technologies in the Cloud Cloud Solutions for IoT and Smart Devices Track-7: Applications and Future Directions of Large Language Models Architectures and Techniques for Training Large Language Models Fine-Tuning and Transfer Learning in Large Language Models Ethics, Bias, and Fairness in Large Language Models Applications of Large Language Models in Natural Language Processing Scaling Challenges and Solutions in Large Language Models Interpretability and Explainability in Large Language Models Multimodal Learning with Large Language Models Efficiency and Optimization in Training Large Language Models Real-World Deployments and Case Studies of Large Language Models Security and Privacy Concerns in Large Language Models Language Model Personalization and Customization Ethical Considerations in Large Language Model Development and Deployment Future Directions and Innovations in Large Language Models Track-8: Security and Privacy Issues in Next Gen Computing Zero Trust Architectures and Next-Gen Security Models Security Challenges in Cloud Computing and Edge Networks Privacy-Preserving Machine Learning and AI Cybersecurity in Internet of Things (IoT) and Smart Devices Blockchain and Distributed Ledger Security Data Anonymization and Privacy Enhancing Technologies Threat Detection and Response in Modern IT Infrastructures Security in 5G and Next-Gen Mobile Networks Identity Management and Access Control in Next-Gen Systems Privacy and Security in Augmented and Virtual Reality Secure Software Development and DevSecOps Compliance and Regulatory Issues in Next-Gen Computing AI-Driven Security and Automated Threat Mitigation Emerging Threats and Security Trends in Next-Gen Computing Track-9: Emerging Trends and Technologies Generative AI Quantum Computing 5G and Beyond Blockchain and Decentralized Technologies Augmented Reality (AR) and Virtual Reality (VR) Next-Generation Cybersecurity Solutions Human-Computer Interaction in Emerging Technologie Autonomous Systems and Robotics Edge Computing and IoT Integration Smart Cities and Urban Technologies Digital Twins and Simulation Technologies Wearable Technology and Health Monitoring Space Technology and Exploration Track 10: Digital Transformation, Innovation, and Interoperability: Strategies for Successful Digital Transformation Innovation in Digital Business Models Interoperability Standards and Frameworks E-Government Strategies and Best Practices Citizen-Centric Digital Services and Engagement Data Governance and Open Data Initiatives Cloud Computing in Public Sector Transformation Digital Identity and Access Management for Citizens AI and Analytics for Public Policy Decision Making Cybersecurity in Government Digital Initiatives Interoperability Between Government Agencies Smart Cities: Integrating Technology into Urban Governance Blockchain Applications for Transparency and Accountability Digital Literacy and Skills Development in Public Services Innovative Funding Models for Digital Initiatives Kindly Submit your manuscripts in IEEE format at: https://cmt3.research.microsoft.com/NGISE2025 |
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