TRACK INTRODUCTION
This track focuses on the principles, architectures, and technologies for managing large-scale and complex educational data in secure, reliable, and efficient environments. It explores how modern data management frameworks, cloud computing technologies, and distributed systems can be applied to support the collection, storage, integration, processing, and governance of educational data. The track covers educational data governance, cloud-based big data solutions, real-time data processing, multi-source data integration, data quality management, and student data privacy and security. It also highlights responsible data management practices, including data protection, access control, privacy preservation, and ethical considerations in the use of educational data. The track aims to provide a platform for researchers and practitioners to exchange innovative architectures, methodologies, and practical solutions for building secure, scalable, and high-quality data infrastructures that support data-driven education.
THE TOPICS INCLUDED BUT NOT LIMITED TO THE FOLLOWING
• Educational data governance
frameworks
• Cloud-based big data solutions
• Student data privacy protection
• Real-time data processing
• Multi-source data integration
• Data quality management
• Educational data security protocols
The manuscript should be submitted via the Electronic Submission System or by email to icbdeconference@163.com no later than the submission deadline of August 30, 2026. When submitting, please select Track 2 as the designated track.
TRACK CHAIR
Prof. Alfredo
Cuzzocrea
University of Calabria, Italy
Bio: Alfredo Cuzzocrea is Professor of Computer Engineering at the University of Calabria, Rende, Italy. He also covers the role of Full Professor in Computer Engineering at the University of Lorraine, Nancy, France, where he holds the Excellence Chair in Computer Engineering. He is Head of the Big Data Engineering and Analytics Lab of the University of Calabria, Italy. He is also Research Fellow of the National Research Council (CNR), Italy. Previously, he has been International Senior Research Fellow of the ISITE-BFC Research Excellence Program of the Ministry of Higher Education and Research (MESR), France. He holds several visiting professor positions worldwide. His current research interests span the following scientific fields: big data, database systems, data mining, data warehousing, and knowledge discovery. His research results have been awarded largely.