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Conference update

Dear authors and conference participants!

Unfortunately, 2021 IEEE SIST Organizing Committee has to inform you that the event is postponed to 28-30 April, 2021 due to COVID-19 and epidemiological situation in Kazakhstan.

The papers that were submitted have not been reviewed yet. You may either keep them in Conference Management Tool or update with the latest data or delete them according to updated deadlines (access to submissions is open).

Conference Scope

2021 IEEE International Conference on Smart Information Systems and Technologies (2021 IEEE 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. The 2020 IEEE SIST International Conference is a significant event in the scientific society of Kazakhstan which will have business people, scientists, researchers, specialists and students from different areas of 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 the 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.

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

  • 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

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

Prof. Dr. Ingo Kunold

Conference co-Chair

Dortmund University of Applied Sciences and Arts

Prof. Andreas Pester

Technical Program Committee co-Chair

Carintia University of Applied Sciences, Austria

Dr. Carsten Wolff

Provost at Astana IT University,

Prof. at Dortmund University of Applied Sciences and Arts

Prof. Frédéric Mallet

Université Côte d’Azur

SIST 2021 Organisers

Astana IT University

IEEE Ukraine Section

Ministry of Digital Development, Innovations and Aerospace Industry of the Republic of Kazakhstan

Ministry of Education and Science of the Republic of Kazakhstan

Nursultan Nazarbayev Education Foundation

Zerde National Infocommunication Holding JSC

Dear authors!

Unfortunately, 2020 IEEE SIST Organizing Committee has to inform you that the event is postponed to April, 28-30, 2021 due to the COVID-19 and epidemological situation in Kazakhstan.

The papers that are submitted to 2020 IEEE SIST have not been reviewed. You may either delete your works or resubmit with the latest data in Microsoft Conference Management Tool (portal for papers upload) which will be opened soon for editing. Also, new dates shall be available on the website very soon. Please stay tuned.

Be safe!