Special Stream on Big Data

Big data - a series of approaches, tools and methods for processing structured and unstructured data of huge volumes and significant diversity to obtain results acceptable to humans, effective in terms of continuous growth and distribution across multiple nodes of the computer network. Big data is continuously accumulating in almost every area of human life. This includes any industry that involves either human interaction or computation. These are social media, medicine and banking, as well as device systems that receive numerous results of daily calculations.  Discover how Big Data technologies and analysis tools can transform your business today.

The special stream aims to provide a forum discussing the state-of-art and recent advances in this area, addressing both theoretical and applied implemented approaches, with representatives from academia and industry along with establishing a strong context of national and international research projects and future collaborations.

Topics include, but are not limited to:

  • Big Data, Hadoop and Beyond Hadoop platforms
  • Digital transformation journey, agile management, and the Future of Work
  • Machine Learning and AI technologies
  • Advanced analytics, including data visualization, BI, real-time, predictive, prescriptive
  • Cloud strategies: hybrid, containerization, serverless, micro-services
  • Automated Machine Learning, Edge AI, Augmented Intelligence, Graphical Databases
  • Data governance and quality
  • Voice technologies, continuous intelligence, AI-as-a-Service, Natural Language Processing
  • Cybersecurity, compliance, and privacy
  • Digital Ops including DataOps, AIOps, CloudSecOps


  • Prof. Natalya Shakhovska, Lviv Polytechnic National University, Ukraine
  • Dr Miki Sirola, Finland
  • Dr Vitaliy Kobets, Ukraine  

IPC Committee:

  • Yuri Demchenko, Netherlands
  • Jaime Campos, Sweden
  • Nataliya Kryvinska, Slovak Republic
  • Melnykova Nataliia, Ukraine
  • Vitaly Yakovyna, Ukraine
  • Vasyl Lytvyn, Ukraine
Important Dates

Extended Abstract Submission:
15 May 2023
01 June 2023

Notification of Extended Abstract Acceptance:
30 June 2023
23 July 2023

Camera Ready Papers:
20 July 2023
30 July 2023

Social Networks
Sponsors and Partners
Organized and Sponsored by:
Dortmund University of Applied Sciences and Arts, Dortmund, Germany
Faculty of Computer Information Technologies, West Ukrainian National University
IEEE Germany Section I&M Society Chapter
IEEE Ukraine Section I&M / CI Joint Societies Chapter