Hybrid Conferencee

International Conference on Big Data-driven AI and IT Innovation (ICBDAITI - 26)

20th - 21st August 2026 | Nicosia, Cyprus

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Conference Notifications:

"Be sure to check this section regularly for all Research Plus International Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Nicosia. 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 Nicosia 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 Nicosia conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Nicosia, 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 Nicosia."
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 8
SDG 8 Decent Work and Economic Growth
SDG 9
SDG 9 Industry, Innovation and Infrastructure
Track 01

Innovations in Big Data Analytics

This track focuses on the latest advancements in big data analytics techniques and tools. Researchers are invited to present their findings on novel methodologies that enhance data interpretation and decision-making.

Track 02

Machine Learning Applications in Engineering

This session explores the integration of machine learning algorithms in various engineering domains. Contributions that demonstrate practical applications and case studies are highly encouraged.

Track 03

Cloud Computing for Big Data Solutions

This track examines the role of cloud computing in facilitating big data processing and storage. Papers should address scalability, performance, and cost-effectiveness of cloud-based solutions.

Track 04

Intelligent Systems and Automation

This session focuses on the development of intelligent systems that leverage big data for automation. Contributions should highlight innovative approaches to system design and optimization.

Track 05

Predictive Analytics in IT Infrastructure

This track investigates the application of predictive analytics in enhancing IT infrastructure management. Researchers are invited to discuss techniques that improve reliability and efficiency.

Track 06

Data Integration Techniques for Big Data

This session addresses challenges and solutions related to data integration in big data environments. Contributions should explore methodologies that ensure seamless data flow across diverse systems.

Track 07

AI Algorithms for Enhanced Decision Making

This track focuses on the development and application of AI algorithms that support decision-making processes. Papers should present innovative approaches that improve accuracy and efficiency.

Track 08

Frameworks for Scalable Computing

This session examines frameworks that enable scalable computing for big data applications. Contributions should discuss architectural designs and performance evaluations of these frameworks.

Track 09

Business Intelligence Driven by Big Data

This track explores the intersection of business intelligence and big data analytics. Researchers are encouraged to present studies that demonstrate how big data can inform strategic business decisions.

Track 10

Data Processing Techniques in Machine Learning

This session focuses on innovative data processing techniques that enhance machine learning outcomes. Contributions should highlight preprocessing, feature selection, and data augmentation methods.

Track 11

Optimization Strategies for IT Systems

This track investigates optimization strategies for IT systems leveraging big data and AI technologies. Papers should present methodologies that enhance system performance and resource utilization.