WELCOME TO ICADEIS 2026

Welcome to the 2026 International Conference Advancement in Data Sciences, E-Learning, and Information System (ICADEIS) 2026, which will take place from 23 – 24 June 2026, in Bandung, Indonesia (Hybrid Platform), exploring the latest research, ideas, and solutions related to data science and information systems. This conference is a unique opportunity to connect with leading educators, researchers, and other stakeholders from around the world. ICADEIS 2026 will bring together a wide range of research and case studies from around the world, presented in parallel sessions, with ample networking and publishing prospects. Join us at this premier conference to explore the latest trends and challenges in the field and engage with top researchers and experts.

“THEME : EMPOWERING DATA SCIENCE AND INFORMATION SYSTEM”

ICADEIS 2026 seeks to foster knowledge exchange, collaboration, and innovation within the fields of data science and information systems. It aims to bring together scholars, experts, industries, and stakeholders to discuss sustainable practices, address challenges, showcase new technologies, and facilitate networking opportunities for the advancement of these interconnected fields.

Keynote Speakers

We are proud to present our distinguished keynote speakers for ICADEIS 2026. Learn more about their expertise and contributions to the field.

Speaker 3

Dr. Edi Triono Nuryatno, PhD, MSc, MACS CT, BSc

UWA Centre for Medical Research, The University of Western Australia

Speaker 1

Profesor Madya Ts. Dr. Mohd Arfian Bin Ismail (Under confirmed)

Universiti Malaysia Pahang Al-Sultan Abdullah (UMPSA), Malaysia

Speaker 3

Daniel Korenblum, MSTM, BSC (Under confirmed)


Postgraduate Strategy & Technological Management

Important Dates

Call for Papers

  • Submission Deadline: February 13, 2026
  • Notification of Acceptance: April 15, 2026
  • Camera-Ready Submission: May 15, 2026
  • Registration Deadline: May 15, 2026
  • Conference Date: 23 – 24 June 2026

Registration Prices

Category Local International
IEEE Students Member IDR 2,850,000 USD 265
IEEE Professional Member IDR 3,350,000 USD 285
Regular Students (Non IEEE Member) IDR 3,000,000 USD 275
Regular Professional (Non IEEE Member) IDR 3,500,000 USD 300
Attendee Non Presenter IDR 500,000 USD 50
Don't miss the opportunity! Submit Your Paper

Conference Themes

At ICADEIS 2026, we delve into the forefront of technological advancements and innovative research through our carefully curated conference themes. Each theme represents a vital area of interest in the fields of Data Science and Information Systems, showcasing cutting-edge developments and emerging trends. Our themes are designed to foster insightful discussions, knowledge exchange, and collaborative exploration of critical topics. We invite you to explore the following key themes, which highlight the diverse and impactful areas of research and application:

Data Science
  • Generative AI & Large Language Models (LLMs)
  • Multimodal AI and Foundation Models
  • Graph Analytics & Graph Neural Networks (GNNs)
  • Social Web Search and Mining
  • Machine Learning
  • Deep Learning
  • Granular Computing and Fuzzy Systems
  • Big Data Technologies
  • Big Data Analytics
  • Big Data as a Service (BDaaS)
  • Data Management for Analytics
  • Information Extraction
  • Data Models for Big and Smart Data
  • Data Structures and Data Management
  • Data Modelling and Visualization
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Information System
    • Information Systems Development
    • Enterprise Data and Information Modeling
    • Intelligent Information Systems
    • Information Systems Architecture and Design
    • Decision Support Systems (DSS)
    • Information Systems Infrastructure
    • Information Systems Security
    • Blockchain-Based Information Systems
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E-Learning
  • Technology-Enhanced Learning (TEL)
  • Digital and Interactive Learning Environments
  • Gamification and Game-Based Learning
  • Learning Analytics and Online Assessment
  • Virtual Laboratories, Simulations, and Remote Experimentation
  • E-Learning Systems and Platforms
  • AI and Adaptive Learning Systems
  • Quality Assurance and Standards in E-Learning
Read More