Welcome to Shanti Educational Research Foundation, India

A platform to promote multi-disciplinary research in Science, Technology, and Management, is an innovative nonprofit foundation for researchers/ academicians around the globe for research and developments that make this world a happy home for all living. We publish original research work in various journals, reference books, and monographs and organize international conferences and workshops throughout the year under the leadership of  Prof. (Dr.) Sanjeev Kumar, Prof ( Dr) Mamta Chahar Prof. (Dr.) Anirudh Pradhan, Prof. (Dr.) Dorota Jelonek, Prof. (Dr.) Ilona Paweloszek, and Prof. (Dr.) Paula Bajdor is our mentor with a team of great professors worldwide. You may join us in any/ all events.

JANOLI International Journal of Big Data (JIJBD)

The JANOLI International Journal of Big Data (JIJBD) is a peer-reviewed, open-access publication that publishes articles monthly. It serves as a platform for researchers, data scientists, and industry professionals to share innovative findings, methodologies, and applications in big data. As a globally recognized journal, it covers fundamental theories, advanced analytics, and real-world implementations of big data across various industries. Additionally, the journal plans to feature special issues on emerging trends and challenges in big data and its applications.

Multidisciplinary subjects:

• Scalable Data Architectures and Storage
• Distributed Systems and Parallel Computing
• Real-time Analytics and Stream Processing
• Data Lakes and Data Warehousing
• Machine Learning with Big Data
• Privacy and Security in Big Data
• Internet of Things (IoT) Data Management
• Big Data in Smart Cities and Urban Planning

SCOPE:

• Big Data Analytics and Visualisation
• Machine Learning and AI for Big Data
• Data Mining and Knowledge Discovery
• Scalable and Distributed Computing
• Cloud and Edge Computing in Big Data
• Data Privacy, Security, and Ethics
• Internet of Things (IoT) and Sensor Data Processing
• Real-time Data Processing and Streaming Analytics
• Big Data Applications in Healthcare, Finance, and Business
• Blockchain and Big Data Integration
• International Collaboration in Big Data Research