IDCS-2025: Intelligent Digitalization Conference - Summer Reutlingen University - Herman Hollerith Center Böblingen, Germany, July 15, 2025 |
| Submission link | https://easychair.org/conferences/?conf=idcs2025 |
| Submission deadline | June 27, 2025 |
| Reviews | July 10, 2025 |
| Notification | July 11, 2025 |
| Camera-Redy Files | July 13, 2025 |
| Student Conference with Poster, Presentation, Reflection | July 15, 2025 |
| RELAX: Final Upload of paper, poster, reviews, and slides as ONE Zip-file per team | July 22, 2025 |
Call for Papers
IDCS-2025 (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 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. Cybersecurity plays a critical role in safeguarding digital transformation initiatives in this dynamic landscape. 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, innovative 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 on Scientific Publishing from the Herman Hollerith Reserach Center on the following topics, including related areas:
Virtual Representations for Intelligent Systems
- IoT Integration
- Simulation and Analysis
- AI and Machine Learning
- Industry 5.0
- Cybersecurity and Data Privacy
- Big Data and Analytics
- Automation and Robotics
- Digital Transformation
- Cloud Computing and Edge Computing
- Lifecycle Management
- Predictive Maintenance
- Use of AI in Automotive
- Intelligent Skill Gap Detection
Cybersecurity
- Threat Detection and Mitigation
- Threat Intelligence
- Data Encryption and Privacy
- Security in IoT and Cloud Ecosystems
- Resilience in Digital Product Systems
AI Intelligence – Deep Learning
- Neural Networks
- Transformer Models
- Generative Adversarial Networks
- Graph Neural Networks
- Diffusion Models
- Automation through AI speech synthesis
- Pattern Recognition
Federated Machine Learning
- Machine Learning
- Privacy and Data Security
- Centralized vs. Federated Learning Architectures
- Federated Averaging
- Scalability in Large-Scale Networks
- Handling Non-IID Data
- Federated Transfer Learning
- Federated Optimization
- Edge Computing
Security Strategies and Frameworks for IoT Environments
- Security strategies
- Security frameworks
- Device Authentication and Authorization
- Data Encryption in Transit and at Rest
- IoT and Cybersecurity
- Technical Countermeasures
- Encryption, Multifactor authentication, and secure boot
- Security-by-design and secure firmware updates mechanisms
- Industry frameworks:
- NIST IoT Cybersecurity Framework
- ISO/IEC
- Zero Trust Architecture in IoT
- Differences between consumer IoT and Industrial IoT approaches
AI-Driven Digital Twins
- Digital Twins
- Artificial Intelligence
- Industry 5.0
- Smart Manufacturing
- Simulation-based Maintenance
- Real-time Monitoring
- Data-Driven Decision Making
- Industrial Internet of Things (IIoT)
- Autonomous Maintenance
- Predictive Analytics
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=idcs2025
Submitted papers will undergo a peer review by at least two members of the program committee. Before 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
Diard Ajeti, Reutlingen University
Kerem Gülec, Reutlingen University
Cem Koca, Reutlingen University
Ali Tosyali, Reutlingen University
Jannik Wieland, Reutlingen University
Felix Volk, Reutlingen University
Sebastian Ruopp, Reutlingen University
Lucas Spieth, Reutlingen University
Mark Aganin, Reutlingen University
Mustafa Yozgat, Reutlingen University
Ibis Ufuk Karakus, Reutlingen University
Servet Kayra Say, Reutlingen University
Annalena Pielder, Reutlingen University
Bengü Akdemir, Reutlingen University
Aida Reci, Reutlingen University
Abderrahim Houbbadi, Reutlingen University
Jannik Hiller, Reutlingen University
Mohammed Elsaeed, Reutlingen University
Tarek Aktepe, Reutlingen University
Janik Schmid, Reutlingen University
Jan Müller, Reutlingen University
Fatih Kurtar, Reutlingen University
Nuri Saracoglu, Reutlingen University