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Conference update

Conference Scope

2024 IEEE 4th International Conference on Smart Information Systems and Technologies (SIST) topics include, but are not limited to, the following research areas: Technology and Engineering Management, Governance, Finance, and Economy; IT in Education and Research; Emerging Trends and Technologies in IT Application; Data Science and Advanced Analytics.
The conference will be technically co-sponsored by IEEE Ukraine Section, IEEE Kazakhstan Sub-Section and IEEE Kazakhstan CIS/RA Societies Joint Chapter. The 2024 IEEE 4th International Conference on Smart Information Systems and Technologies (SIST) is a significant event in the scientific society of Kazakhstan which will have business people, scientists, researchers, specialists, and students from different areas of the IT industry from near and far abroad. This conference allows people to exchange their experience, enlarge and broaden their knowledge and perspectives on specific topics, widen their professional network, and contribute to finding responses to some issues on recent trends in IT. The conference may serve as a starting point for ideas for realizing governmental programs and development and research works as a result.

Conference Organizers:

Conference co-organizers:

Conference sponsor:

Information partner:

Conference Program

Core topics

1. Technology and Engineering Management
2. IT in Education and Research
3. Emerging Trends and Technologies in IT Application
4. Data Science and Advanced Analytics

1. Technology and Engineering Management

• Digital Innovation Management
• Smart Services and Software Platforms
• Sustainable Engineering
• Future Mobility & Smart Mobility
• Research and Innovation in Creative Industries
• Business process management, re-engineering and modelling
• Rethinking Project Management
• Metadata and public standards
• Business Models and Economics of Community and Rural Wireless Networks
• Internet as base of distributed business models
• Location and Context Management
• Data Science and Business Intelligence
• Scientific fundamentals of e- and m-Commerce
• Digital Project Management
• Digital transformation

2. IT in Education and Research

  • Human-Computer Challenge and Interaction
  • Public Access to Information and Globalization
  • Different Approaches to Implementation of IT in S&T Education
  • Industry-University Partnership
  • Knowledge Management in e-Learning
  • Virtual Classrooms, and Universities
  • Learning & Content Management Systems
  • Gender equality in STEM
  • Mobile Learning Applications
  • e-Learning Platforms and Tools
  • Information Technologies in Management and Administration
  • Technological entrepreneurship

3. Emerging Trends and Technologies in IT Application

  • Technologies in Cybersecurity
  • Web-based system
  • Human-computer interaction
  • Green IT Technologies
  • Virtualization Concept
  • Social Applications
  • GIS and Remote Sensing
  • Distributed and Parallel Computing
  • Information System Tools, Standards, Architectures, Platforms
  • Advanced database and Web Applications
  • Cloud Computing
  • Edge Computing
  • Distributed Processing
  • Decision Support Systems
  • Concepts and Development of Information Systems
  • New SPI Models: SaaS, PaaS, IaaS, CaaS, XaaS
  • Location and mobility semantics
  • Social Network Analysis Methods and Applications
  • Context-aware Computing and Location-based Services
  • Web2 and Web3 new development paradigm
  • Web Ontology and Development
  • Semantic Web: Concepts, Technologies and Applications
  • Augmented Reality
  • Service Oriented Architecture
  • Cybersecurity

4. Data Science and Advanced Analytics

• Advanced Statistical Analytics
• Software Techniques and Architectures in Cloud/Grid/Stream Computing
• Domain-Specific Applications of Data Analytics
• Programming Models and Environments for Cluster, Cloud, and Grid Computing to Support Big Data
• New Computational Models for Big Data
• Data Visualization at Scale
• Forecast of Time Series
• Game Data Science
• Big Data Open Source Platforms
• Software Systems to Support Big Data Computing • Data Management in the Social Web
• Large-Scale data Management and Analysis
• Big Data and Mobility
• Big Data Analytics in Government, Public Sector and Society in General
• Complex Big Data Applications in Various Areas • Data-intensive Computing and Map Reduce
• Pattern Recognition and Machine Learning
• Deep Learning for Communication Networks
• Information Theory for Knowledge Models.
• Computing and Metaheuristics
• Computer Linguistics.

Keynote Speakers

Dr. Carsten Wolff

Vice-rector on Digitalization and International Cooperation at Astana IT University

Prof. at Dortmund University of Applied Sciences and Arts, Germany
Prof. Andreas Pester

Technical program committee co-chair

Carintia University of Applied Sciences, Austria
Sergey Bushuyev

PhD, Dr. Sc., Professor at Kiev National University of Construction and Architecture, Ukraine
Prof Andrii Biloshchytskyi

Doctor of Technical Sciences
Vice-rector on Science and Innovation at Astana IT University