ICDEES 2026 Program and Schedule

The purpose of The 2026 International Conference on Data Engineering and Enterprise System (The 2026 ICDEES) is to bring together researchers, engineers and practitioners interested in the advances and business applications of Data Engineering and Enterprise System.

Eight simultaneous tracks will be held, covering different aspects of Enterprise Information Systems Applications, including Enterprise Database Technology, Systems Integration, Artificial Intelligence, Decision Support Systems, Information Systems Analysis and Specification, Internet Computing, Electronic Commerce, Human Factors and Enterprise Architecture, Data Engineering and Software engineering.

The 2026 ICDEES focuses on real world applications; therefore, authors should highlight the benefits of Information Technology for industry and services. Ideas on how to solve business problems, using IT, will arise from the conference. Papers describing advanced prototypes, systems, tools and techniques and general survey papers indicating future directions are also encouraged. Papers describing original work are invited in any of the areas listed below.

Accepted papers, presented at the conference by one of the authors, will be published in the Proceedings of The 2026 ICDEES. Acceptance will be based on quality, relevance and originality. Both full research reports and work-in-progress reports are welcome. There will be both oral and poster sessions. Workshops, providing a more interactive and focused platform for presenting and discussing new and emerging ideas or special sessions, dedicated to case-studies and commercial presentation are also envisaged: companies interested in presenting their products/methodologies or researchers interested in holding a tutorial are invited to contact the conference secretariat.

PUBLICATIONS

All accepted complete papers will be published in the conference proceedings.

The presented and upgraded post-conference registered papers  will be published to conference proceedings

The proceedings will be submitted for indexation by SCOPUS, Google Scholar, DBLP, Semantic Scholar, EI and INSPEC.

CONFERENCE AREAS

Each of these topic areas is expanded below but the sub-topics list is not exhaustive. Papers may address one or more of the listed sub-topics, although authors should not feel limited by them. Unlisted but related sub-topics are also acceptable, provided they fit in one of the following main topic areas:

1. DATABASES AND INFORMATION SYSTEMS INTEGRATION
2. ARTIFICIAL INTELLIGENCE AND DECISION SUPPORT SYSTEMS
3. INFORMATION SYSTEMS ANALYSIS AND SPECIFICATION
4. SOFTWARE AGENTS AND INTERNET COMPUTING
5. HUMAN-COMPUTER INTERACTION
6. ENTERPRISE ARCHITECTURE
7. DATA ENGINEERING
8. SOFTWARE ENGINEERING

AREA 1: DATABASES AND INFORMATION SYSTEMS INTEGRATION

Coupling and Integrating Heterogeneous Data Sources

Organisational Issues on Systems Integration

Enterprise Resource Planning

Databases in the Cloud and Cloud Data Management

Data Mining and Knowledge Discovery

Data Warehouses and OLAP

Performance Evaluation and Benchmarking

Large Scale Databases

Non-Relational Databases

Query Languages and Query Processing

Distributed Database Systems

Database Security

Blockchain Systems

Big Data, Data Science and Analytics

Subjective Databases, Data Quality, Curation and Provenance

AREA 2: ARTIFICIAL INTELLIGENCE AND DECISION SUPPORT SYSTEMS

Group Decision Support Systems

Industrial Applications of Artificial Intelligence

Strategic Decision Support Systems

Advanced Applications of Neural Network

Applications of Expert Systems

Intelligent Agents

Autonomous Agents & Multi-Agent Systems

Scheduling and Planning

Operational Research

Problem Solving

Natural Language Interfaces and Systems

Deep Learning

Social Intelligence

Robotics in Business

Creativity

Context-aware Pervasive Systems

AREA 3: INFORMATION SYSTEMS ANALYSIS AND SPECIFICATION

Software Engineering

Knowledge Management

Modelling of Distributed Systems

Ontology Engineering

Security

Simulation and Digital Twins for IS

Requirements Analysis and Management

Tools, Techniques and Methodologies for System Development

Model Driven Architectures and Engineering

Modelling Formalisms, Languages, and Notations (E.G. UML, ER Variants)

Project Management

Semiotics in Information Systems

Software Metrics and Measurement

Agile Methodologies and Applications

Dependable Systems for Critical Applications

Parallel Computing

Domain Specific and Multi-aspect IS Engineering

AREA 4: SOFTWARE AGENTS AND INTERNET COMPUTING

Wireless and Mobile Computing

Ubiquitous Computing

Interoperability

Web Services

Collaborative Computing

Electronic Commerce

Profiling and Recommendation Systems

Internet of Things

Semantic Web Technologies and Applications

Distributed Systems

Trust and Privacy

Mobile Security Issues and Privacy

Conversational Agents, ChatBots and LLM for IS

Cyber-Social Systems

Emerging Applications of Agent-based Systems

AREA 5: HUMAN-COMPUTER INTERACTION

HCI on Enterprise Information Systems

Human Factors

Guidelines, Principles, Patterns and Standards

Adaptive and Adaptable User Interfaces

Interaction Techniques and Devices

Interface Design

Emotional and Affective Computing

Accessibility and Usability

Collaborative and Social Interaction

User Experience

Design and Evaluation

User Behavior Analysis

Interaction Models, Virtual Reality / Augmented Reality

Trust and Transparency

Machine Learning in HCI

Ethics, Privacy and Security of HCI

AREA 6: ENTERPRISE ARCHITECTURE

Enterprise Engineering

Models and Frameworks

Business Modelling and Business Process Management

Business-IT Allignment

EA Adoption and Governance

EA and Organizational Theory and System Development

EA and Service Oriented Architecture (SOA)

Methods, Processes and Patterns for EA Development

Measurements, Metrics and Evaluation of EA Artefacts and Processes

Architectures and Design Principles for Enterprise Repositories

Evolution of EA

Digital Transformation

EA Tools and Applications

Enterprise Content Management

Supply Chain Planning and Management

Enterprise Architecture and Industry 4.0

AREA 7: DATA ENGINEERING

Data and Knowledge Modeling

Information Management Practices

Knowledge-Based Management Systems

Knowledge Discovery in Data

Data/Process Mining

Semantic Web Technology

Web Analytics

Business Intelligence

Ontology

Data Visualization & Analytics

Data Science

Database Technology

Spatial and Temporal Database

Distributed Database

Open Data

Big Data

Data and Information Security

AREA 8: SOFTWARE ENGINEERING TRACK

Software Engineering Process & Lifecycle

Software Analysis and Design Methods

Software Quality Assurances

Open Source Software

Software Measurement

Requirements Engineering

Agile Methodology

Extreme Programming

Empirical Software Engineering

Software Engineering Education

Software Project Management

Software Industry

Software Product Line

Security Software and System

Software Architecture

Cloud Computing

Software Engineering Tools

Software Technologies

SOA (Service Oriented Architecture)

Business Process Management System

Ultra Large-Scale System

Artificial Intelligence for Software Engineering