Hybrid Conferencee

International Conference on Big Data Processing and Machine Learning Models (ICBDPMLM - 27)

6th - 7th February 2027 | Poznan, Poland
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Expand the Academic Reach of Your Research - a Q1-ranked and Scopus-indexed journal publication opportunity

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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 Poznan. 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 Poznan 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 Poznan conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Poznan, 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 Poznan."
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 Processing

This track focuses on the latest advancements in big data processing techniques and technologies. Researchers are invited to present their findings on scalable systems and data integration methods that enhance data handling capabilities.

Track 02

Machine Learning Algorithms for Predictive Analytics

This session will explore novel machine learning algorithms specifically designed for predictive analytics applications. Contributions that demonstrate improvements in accuracy and efficiency are particularly welcome.

Track 03

AI Algorithms in Cloud Computing

This track examines the integration of artificial intelligence algorithms within cloud computing environments. Papers should address challenges and solutions related to deploying AI in scalable cloud infrastructures.

Track 04

Data Engineering for Intelligent Systems

Focusing on the role of data engineering in the development of intelligent systems, this track invites submissions that highlight innovative data management and processing techniques. Emphasis will be placed on methodologies that improve system intelligence.

Track 05

Optimization Techniques in Big Data Analytics

This session will delve into optimization techniques that enhance the performance of big data analytics frameworks. Researchers are encouraged to share their insights on algorithmic improvements and computational efficiencies.

Track 06

Automation in Machine Learning Applications

This track addresses the automation of machine learning processes and its implications for various applications. Papers should discuss frameworks and tools that facilitate automated model training and deployment.

Track 07

IT Infrastructure for Big Data Solutions

This session focuses on the critical role of IT infrastructure in supporting big data solutions. Contributions should explore architectural designs and technologies that enable robust data processing capabilities.

Track 08

Data Science Methodologies in Engineering

This track invites discussions on the application of data science methodologies within engineering contexts. Papers should highlight case studies or frameworks that demonstrate the impact of data-driven decision-making.

Track 09

Business Intelligence through Advanced Analytics

This session will explore the intersection of business intelligence and advanced analytics techniques. Researchers are encouraged to present innovative approaches that leverage big data for strategic business insights.

Track 10

Scalable Systems for Data Integration

This track examines the challenges and solutions associated with building scalable systems for data integration. Contributions should focus on novel architectures and technologies that facilitate seamless data flow.

Track 11

Emerging Trends in Intelligent Systems

This session will explore emerging trends and technologies in the field of intelligent systems. Papers should address new methodologies, applications, and the future direction of intelligent system development.