WELCOME TO ICADEIS 2025

Welcome to the 2025 International Conference Advancement in Data Sciences, E-Learning, and Information System (ICADEIS) 2025, which will take place from 3 – 4 February 2025, 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 2025 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 : INTEGRATING DATA SCIENCE AND INFORMATION SYSTEM”

ICADEIS 2025 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 2025. Learn more about their expertise and contributions to the field.

Speaker 1

Profesor Madya Ts. Dr. Mohd Arfian Bin Ismail

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

Speaker 2

Dr. Eng. Ayu Purwarianti, S.T, M.T.

Bandung Institute of Technology, Indonesia

Speaker 3

Prof. Dr. Andrea Capiluppi


University of Groningen, Netherlands

Important Dates

Call for Papers

  • Submission Deadline: November 20, 2024
  • Notification of Acceptance: November 27, 2024
  • Camera-Ready Submission: December 15, 2024
  • Registration Deadline: December 20, 2024
  • Conference Date: 3 – 4 February 2025

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 2025, 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
  • Big Data Technologies
  • Machine Learning
  • Data Mining & Visualization
  • Optimization Algorithms
  • Statistical Learning
  • Granular Computing and Fuzzy System
  • Information System Business Intelligence
  • e-Business
  • Big Data Analytics
  • Graph Analytics
  • Real-time Big Data Analysis
  • Data Models for Big and Smart Data
  • Business Models for Big Data and Smart Data
  • Semantic Web Applications
  • Data and Information Quality
  • Information Extraction
  • Data Integration (Conceptualization, Notation, and Ontologies)
  • Data Management for Analytics
  • Web Analytics
  • Statistics and Exploratory Data Analysis
  • Data Modelling and Visualization
  • Data Structures and Data Management
  • City Data Management
  • Deep Learning and Big Data
  • Social Web Search and Mining
  • Big Data as a Service
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Information System
  • Enterprise Modelling on Data and Information
  • Enterprise System
  • Technology Acceptance Model
  • Business Process Management
  • IT Governance
  • E-Business and E-Commerce
  • E-Government
  • Data Governance
  • IT Project Management
  • Digital Transformation
  • IT Network
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E-Learning
  • Gamification and Interactive Learning
  • Technology-Enhanced Learning
  • Online Assessment and Learning Analytics
  • Quality Assurance and Standards in E-Learning
  • Virtual Laboratories and Simulations
  • E-Education
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