4th IEEE International Conference on Smart Information Systems and Technologies

Event Dates

May 15, 2024 - May 17, 2024

Location

Astana, Kazakhstan

Submission Deadline

Feb 07, 2024

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.