International Conference on Recents in Computing, Engineering, and Data Analytics [ICRCEDA'2025]
About Conference:
The International Conference on Recents in Computing, Engineering, and Data Analytics [ICRCEDA'2025] was organized virtually on 13th June 2025. This conference is a premier platform for researchers, engineers, academicians, and industry professionals to present and discuss recent innovations, trends, practical challenges, and solutions across computing, engineering, and data analytics. The conference explores real-world challenges and innovations in data management and technological applications by bringing together students, educators, industry professionals, and academicians. The conference covers a wide range of topics including Artificial Intelligence, Robotics, Signal Processing, Image Processing, Communications, Embedded Systems, Networking, IoT, Machine Learning, Deep Learning, Civil and Mechanical Engineering. The event emphasizes multidisciplinary research and alignment with the United Nations Sustainable Development Goals (SDGs), addressing challenges like climate change, energy crises, and digital inequality.
Scope:
ICRCEDA'2025 addresses the contemporary issues in data science, AI, and smart engineering, presents novel methodologies, algorithms, or models, proposes sustainable and scalable technological solutions, and integrates research across multiple domains to solve complex problems. The primary goal of the conference is to foster interdisciplinary collaboration and to bridge the gap between academic research and industrial applications. It aims to provide a platform for addressing real-world challenges by leveraging modern computational tools, intelligent systems, and data-driven technologies to bridge the gap between theoretical studies and practical applications, focusing on current trends, achievements, and solutions. Through this conference, participants will gain insights into the latest developments and establish meaningful connections that drive innovation and sustainable technological growth.
Topics:
Herewith, the novel trends and solutions research manuscripts are expected, whereas manuscripts are most welcome and not limited to the topics mentioned below
- 5G/6G and next-generation wireless networks.
- Advanced signal processing techniques.
- AI for sustainability and smart cities.
- Applied AI.
- Artificial Intelligence and Machine Learning.
- Autonomous systems and robotics in manufacturing.
- Big Data Analytics (Hadoop, Spark, etc.)
- Blockchain for secure data sharing and transactions.
- Blockchain in supply chain and healthcare.
- Business analytics and operations research.
- Business Intelligence and Forecasting Models.
- Climate change Modeling and Mitigation.
- Cloud, Edge, and Fog Computing.
- Computer Networks & Security.
- Cyber threat detection and prevention.
- Cybersecurity and Data Privacy.
- Data analytics for healthcare, finance, and e-commerce.
- Data Mining & Data Visualization.
- Data Mining and Knowledge Discovery.
- Databases & SQL (MySQL, MongoDB, PostgreSQL, etc.).
- Data-Driven Decision Support Systems.
- Deep Learning Architectures and Applications.
- Digital Rights Management.
- Digital Transformation in Enterprises.
- Digital Twins in Civil and Mechanical Systems.
- Edge and fog Computing Architectures.
- Electrical, Electronics, Communication, Computing, and Automation systems..
- Embedded and IoT Applications.
- Engineering Solutions for Clean Water and Sanitation.
- Explainable AI and ethical AI.
- Federated and Distributed Machine Learning.
- Healthcare, Education, and Agriculture Technology.
- Human-Centered AI and Ethical Tech.
- Human-robot Interaction and Collaborative Robots.
- Image and Video Analytics.
- Image Processing.
- Industry 4.0 and Smart Manufacturing.
- Intelligent Control Systems.
- IoT Applications in Smart Homes, Cities, and Industries.
- Medical Image Analysis.
- Natural Language Processing and Understanding.
- Network Security and Resilience
- Operating Systems (Linux, Windows, macOS, etc.)
- Pattern recognition and object detection.
- Privacy-preserving data analytics.
- Programming Languages (Python, Java, C++, Rust, etc.)
- Quantum Computing and Next-Gen Architectures
- Robotics and Control Engineering.
- Robotics for Environmental Monitoring.
- Secure E-Governance Platforms.
- Sensor Data Fusion and Analytics.
- Smart Infrastructure and Construction Technologies.
- Smart Systems and Automation.
- Software Engineering & Development.
- Statistical Inference and Reliability Engineering.
- Sustainable and Green Engineering Practices.
- Sustainable Urban Planning with Data Analytics.
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