Call for Papers

IDCS-2026 (Intelligent Digitalization Conference – Summer)

Aim

Digital transformation is reshaping organizations and economies by driving forward technologies such as artificial intelligence (AI), the Internet of Things (IoT), cloud computing, and intelligent data analytics. Innovative concepts like Digital Twins—virtual representations for intelligent systems—open up new possibilities for improving efficiency and gaining deeper insights into complex systems.

Advances in AI, such as Agentic AI, Intelligent Platforms and Assistants, Deep Learning and Transformer Models, are driving intelligent systems and innovative applications, unlocking new possibilities across industries.

Federated Machine Learning offers a decentralized approach to AI training, enabling privacy-preserving collaboration across distributed systems.

In this dynamic landscape, cybersecurity plays a critical role in safeguarding digital transformation initiatives. Key areas such as threat detection and mitigation, threat intelligence, data encryption and privacy, and ensuring security in IoT and cloud ecosystems are essential to protecting digital infrastructures. Furthermore, enhancing resilience in digital product systems is vital to ensure the reliability and continuity of operations in increasingly interconnected environments.

These technologies and security frameworks not only lay the foundation for future-oriented digital architectures, smart products and services, and new business models but also ensure that data-driven innovation occurs in a secure, privacy-conscious manner. By integrating automation, intelligence, and human-centric approaches, digital transformation—underpinned by robust cybersecurity—redefines the economy while contributing significantly to the development of a sustainable, resilient, and secure society.

Scope

We invite student papers (Scientific Publishing) on the following topics, including related areas:

• AI and Machine Learning
• Agentic AI
• AI Agents
• Multiagent Systems
• Intelligent Workflows
• Large Language Models
• Neural Networks
• Transformer Models
• Machine Learning
• Federated Transfer Learning
• Intelligent Code Generation
• Human AI Interaction
• Explainability
• Human in Loop
• Cybersecurity for AI
• Industry 5.0
• IoT and Actor Integration
• AI-based Robotics
• AI in Automotive
• Smart Home
• Energy Optimization
• Decision Management
• Automation and Robotics
• Digital Transformation
• Cloud Computing and Edge Computing

• Edge Computing

Submission Guidelines and Review Process

The scientific paper should not exceed 8 pages in English and must be formatted according to the instructions of Springer: Springer Guidelines.

Authors are invited to submit original, unpublished papers that are not under review for another conference, workshop, or journal at the time of submission. The contributions should address one or more research areas listed above.

Submission Page: https://easychair.org/conferences/?conf=idcs2026

Submitted papers will undergo a peer review by at least three members of the program committee. Prior to submission for reviews, please ensure that you have removed any information that could identify the authors. The final camera-ready version should include all authors in alphabetical order as well as the corresponding affiliation.

Organization

Chair: Alfred Zimmermann, Reutlingen University, Herman Hollerith Research Center Böblingen

Program Committee