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IEEE SIST 2023 : IEEE International Conference on Smart Information Systems and Technologies

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Link: https://sist.astanait.edu.kz/
 
When May 4, 2023 - May 6, 2023
Where Astana, Kazakhstan
Submission Deadline Feb 7, 2023
Notification Due Mar 1, 2023
Final Version Due Apr 20, 2023
Categories    decision support   time series forecasting   big data   governance, finance & economy
 

Call For Papers

The IEEE International Conference on Smart Information Systems and Technologies (2023 IEEE SIST) will be technically co-sponsored by IEEE Ukraine Section. The 2023 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 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.

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.

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

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

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 8
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

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 MapReduce
Pattern Recognition and Machine Learning
Deep Learning for Communication Networks
Information Theory for Knowledge Models.
Computing and Metaheuristics.
Computer Linguistics.

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