This project explores the implications of using synthetic data in healthcare, focusing on liver research. It examines differences between synthetic and real-world data, evaluates generation approaches, and assesses the validity of conclusions drawn from both data sources. The interdisciplinary effort combines medical expertise and computer science to address critical gaps in synthetic data utility for healthcare.

This project leverages AI and machine learning to create patient-specific embeddings from single-cell transcriptomics data, enabling the identification of unique disease signatures. By integrating bioinformatics and clinical expertise, it aims to enhance data-driven medicine and uncover novel biomarkers and therapeutic targets.

The SUSTAINET_guarDian project focuses on creating a digital and sustainable future by enhancing network resilience, security, and energy efficiency, supporting the seamless interconnectivity essential for today’s digital society through innovative ICT research and development.

VeSiTRUST explores trust in digital industrial value networks, focusing on Privacy-Enhancing Technologies (PETs) to secure sensitive data and address platform-related concerns. The project aims to enhance data protection, platform acceptance, and awareness among German companies, fostering secure and efficient value creation systems.

The Internet of Production (IoP) aims to enable cross-domain collaboration by sharing semantically adequate and context-related data in real time across global participants. COMSYS contributes to developing IoP infrastructure, integrating engineering models, and supporting digital shadow creation while addressing performance, security, and data sovereignty challenges.

VeN2uS develops an adaptive and networked grid protection system to ensure safe operation amidst power grid topology changes caused by renewable energy integration. It focuses on resilient communication mechanisms and hardware-based security for critical network protection functionality.

Digital Campus was an interdisciplinary project aimed at improving access to teaching and support services for international students at German universities through digital means, enhancing their integration into university curricula. Building on its predecessor IMPactDigital, the project refined a blockchain-based infrastructure for sharing educational resources to foster collaboration among university educators and reduce redundancy in creating teaching materials.

CONSENT develops a methodology for automated integration, configuration, and operation of IoT devices to ensure secure and compliant behavior in home and industrial networks. The project focuses on creating a robust, zone-based IT security architecture that minimizes human error and complements existing security mechanisms.

CONNECT develops innovative power conversion technologies and smart energy management systems to enable efficient, secure, and sustainable smart grids with enhanced communication and security capabilities. The project involves a consortium of European partners and focuses on integrating renewable energy, local storage, and electric vehicles while minimizing energy and power consumption.

The myneData project, funded by the Federal Ministry of Education and Research and led by Dialego AG from 2016 to 2019, aims to empower users to control the transfer and use of their sensitive data through a personal data cockpit. This cockpit allows users to manage their privacy preferences, offers secure data storage with advanced anonymization like differential privacy, and provides micropayments as compensation for sharing their data, enhancing awareness of privacy risks.

TRINICS improves transparency in cloud service usage by analyzing network traffic to provide users with detailed insights into how their data is utilized and where it is sent, including countries with weaker privacy laws. The project enables users to compare their cloud usage profiles anonymously with others, helping them assess risks and make informed decisions about their cloud service usage.

SSICLOPS focuses on developing scalable and secure infrastructures for federated private cloud operations, enabling enterprises to dynamically scale resources while maintaining service levels and security requirements. The project leverages software-defined data centers, inter-cloud communication, and workload optimization tools to maximize performance and resource efficiency across diverse use cases.

IPACS develops intelligent, privacy-aware cloud-based services to integrate sensor- and cloud-based solutions in daily life while prioritizing user privacy and control. The project focuses on socio-technical development, addressing privacy challenges in diverse application areas like home, car, and portable devices.

PREserv aims to design a flexible, privacy-preserving system for collecting, processing, and visualizing sensor data in public spaces by separating data collection from applications. The project ensures privacy through data abstraction, decentralization, and transparency, enabling secure deployment of diverse applications in smart cities, buildings, and workplaces.

SensorCloud combined the capabilities of smart objects with the strengths of cloud computing to enable elastic computation, storage, and cross-application reuse of sensor data. The project ensured data security and user control through trust points, addressing privacy concerns while facilitating scalable and efficient sensor data management in smart environments.s

Mobile ACcess aimed to develop a secure, city-wide Wi-Fi network by uniting individual access networks through a novel Wi-Fi sharing concept. The project addressed challenges in networking, security, and application design to provide reliable internet services for citizens, travelers, and municipal operations.