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IEEE SIST 2024 : 4th IEEE International Conference on Smart Information Systems and Technologies

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Link: https://sist.astanait.edu.kz/
 
When May 15, 2024 - May 17, 2024
Where Astana, Kazakhstan
Submission Deadline Feb 7, 2024
Notification Due Mar 1, 2024
Final Version Due Apr 20, 2024
Categories    data science   cybersecurity   business intelligence   technological entrepreneurship
 

Call For Papers

The 4th IEEE International Conference on Smart Information Systems and Technologies 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.

The conference will be technically co-sponsored by IEEE Ukraine Section, IEEE Kazakhstan Sub-Section and IEEE Kazakhstan CIS/RA Societies Joint Chapter.

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.

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