Hybrid Conferencee

International Conference on Innovation in Big Data Applications (ICIBDA - 26)

3rd - 4th November 2026 | Athens, Greece

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Conference Notifications:

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Athens. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Athens event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Athens conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Athens, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Athens."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 4
SDG 4 Quality Education
SDG 9
SDG 9 Industry, Innovation and Infrastructure
SDG 11
SDG 11 Sustainable Cities and Communities
Track 01

Innovative Applications of Big Data in Engineering

This track focuses on the latest advancements in big data applications within the engineering sector. Participants will explore case studies and innovative solutions that leverage big data for enhanced engineering practices.

Track 02

Machine Learning Techniques for Big Data Analytics

This session will delve into machine learning methodologies specifically tailored for big data analytics. Researchers will present novel algorithms and frameworks that improve data processing and predictive capabilities.

Track 03

AI-Driven Solutions for Intelligent Systems

This track examines the integration of artificial intelligence in developing intelligent systems powered by big data. Discussions will highlight the transformative impact of AI on system efficiency and decision-making.

Track 04

Data Integration Strategies for Scalable Computing

Participants will explore innovative strategies for data integration that facilitate scalable computing solutions. This session aims to address the challenges of managing large datasets and ensuring seamless interoperability.

Track 05

Predictive Analytics in Engineering Applications

This track will focus on the role of predictive analytics in engineering, showcasing methodologies that enhance forecasting and decision-making. Attendees will learn about tools and techniques that drive innovation through data-driven insights.

Track 06

Advanced Data Mining Techniques for Engineering Challenges

This session will present cutting-edge data mining techniques that address complex engineering challenges. Researchers will share their findings on how these techniques can uncover valuable insights from large datasets.

Track 07

System Optimization through Big Data Analytics

This track will explore methodologies for optimizing engineering systems using big data analytics. Participants will discuss frameworks that enhance performance and efficiency through data-driven decision-making.

Track 08

Emerging Technologies in Big Data Engineering

This session will highlight emerging technologies that are shaping the future of big data in engineering. Attendees will gain insights into innovative tools and platforms that facilitate advanced data analytics.

Track 09

Technology Integration for Enhanced Data Solutions

This track focuses on the integration of various technologies to create comprehensive big data solutions. Discussions will center on best practices and methodologies for achieving seamless technology convergence.

Track 10

Innovation Strategies in Big Data Applications

Participants will explore strategic approaches to fostering innovation in big data applications. This session aims to provide insights into developing and implementing effective innovation frameworks.

Track 11

Challenges and Solutions in Big Data Engineering

This track will address the key challenges faced in the field of big data engineering and present viable solutions. Researchers will share their experiences and strategies for overcoming obstacles in data management and analysis.