The International Research Conference Aims and Objectives
The International Research Conference is a federated organization dedicated to bringing together a significant number of diverse scholarly events for presentation
within the conference program. Events will run over a span of time during the conference depending on the number and length of the presentations.
With its high quality, it provides an exceptional value for students, academics and industry researchers.
International Conference on Big Data Management
aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of
Big Data Management.
It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations,
trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Big Data Management.
Call for Contributions
Prospective authors are kindly encouraged to contribute to and help shape the conference through submissions of their research abstracts, papers and e-posters.
Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or
theoretical work in all areas of Big Data Management are cordially invited for presentation at the conference.
The conference solicits contributions of abstracts, papers and e-posters that address themes and topics of the conference, including figures, tables and references of
novel research materials.
Guidelines for Authors
Please ensure your submission meets the conference's strict guidelines for accepting scholarly papers.
Downloadable versions of the check list for
Full-Text Papers and
Abstract Papers.
Please refer to the
Paper Submission Guideline,
Abstract Submission Guideline and
Author Information
before submitting your paper.
Conference Proceedings
All submitted conference papers will be blind peer reviewed by three competent reviewers.
The peer-reviewed conference proceedings are indexed in the Open Science Index,
Google Scholar,
Semantic Scholar,
Zenedo,
BASE,
WorldCAT,
Sherpa/RoMEO,
and other index databases. Impact Factor Indicators.
Special Journal Issues
21. International Conference on Big Data Management has teamed up with the Special Journal Issue on
Big Data Management.
A number of selected high-impact full text papers will also be considered for the special journal issues.
All submitted papers will have the opportunity to be considered for this Special Journal Issue.
The paper selection will be carried out during the peer review process as well as at the conference presentation stage.
Submitted papers must not be under consideration by any other journal or publication.
The final decision for paper selection will be made based on peer review reports by the Guest Editors and the Editor-in-Chief jointly.
Selected full-text papers will be published online free of charge.
Conference Sponsor and Exhibitor Opportunities
The Conference offers the opportunity to become a conference sponsor or exhibitor.
To participate as a sponsor or exhibitor, please download and complete the
Conference Sponsorship Request Form.
Selected Papers
-
Smart Agriculture in Iran: Background, Necessities, Challenges and Solutions for Establishment
Hassan Masoumi
-
Exploring the Feasibility of Utilizing Blockchain in Cloud Computing and AI-Enabled Building Information Modeling for Enhancing Data Exchange in Construction Supply Chain Management
Tran Duong Nguyen, Marwan Shagar, Qinghao Zeng, Aras Maqsoodi, Pardis Pishdad, Eunhwa Yang
-
Research on Quality Assurance in African Higher Education: A Bibliometric Mapping from 1999 to 2019
Luís M. João, Patrício Langa
-
The Impact of AI on Higher Education
Georges Bou Ghantous
-
API Security in Embedded and Open Finance
Andrew John Zeller, Artjoms Formulevics
-
AI-Driven Solutions for Optimizing Master Data Management
Srinivas Vangari
-
Urban Logistics Dynamics: A User-Centric Approach to Traffic Modeling and Kinetic Parameter Analysis
Emilienne Lardy, Eric Ballot, Mariam Lafkihi
-
Generative AI: A Comparison of CTGAN and CTGAN with Gaussian Copula in Generating Synthetic Data with Synthetic Data Vault
Lakshmi Prayaga, Chandra Prayaga. Aaron Wade, Gopi Shankar Mallu, Harsha Satya Pola
-
Redefining Health Information Systems with Machine Learning: Harnessing the Potential of AI-Powered Data Fusion Ecosystems
Shohoni Mahabub
-
Integrating Optuna and Synthetic Data Generation for Optimized Medical Transcript Classification Using BioBERT
Sachi Nandan Mohanty, Shreya Sinha, Sweeti Sah, Shweta Sharma
-
Bridge Health Monitoring: A Review
Mohammad Bakhshandeh
-
Privacy Concerns and Law Enforcement Data Collection to Tackle Domestic and Sexual Violence
Francesca Radice
-
Metrology-Inspired Methods to Assess the Biases of Artificial Intelligence Systems
Belkacem Laimouche
-
Data Privacy and Safety with Large Language Models
Ashly Joseph, Jithu Paulose
-
Methods and Algorithms of Ensuring Data Privacy in AI-Based Healthcare Systems and Technologies
Omar Farshad Jeelani, Makaire Njie, Viktoriia M. Korzhuk
Conference venue information will be released soon.
Advanced database and Web Applications
Novel Data Model and Databases for Emerging Hardware
Data Preservation
Data Provenance
Interfaces to Database Systems and Analytics Software Systems
Data Protection, Integrity and Privacy Standards and Policies
Information Integration and Heterogeneous and Multi-structured Data Integration
Data management for Mobile and Pervasive Computing
Data Management in the Social Web
Crowdsourcing
Spatiotemporal and Stream Data Management
Scientific Data Management
Workflow Optimization
Database Management Challenges: Architecture, Storage, User Interfaces
Abstracts/Full-Text Paper Submission Deadline |
|
February 13, 2026 |
Notification of Acceptance/Rejection |
|
February 27, 2026 |
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline |
|
April 02, 2027 |
Conference Dates |
|
May 03-04, 2027 |