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German – Turkish Advanced Research Centre for ICT

The ICT Bridge between Berlin and Istanbul for Research and Innovation

Learn more about our research

German-Turkish Advanced Research Centre for ICT

An Affiliated Institute of TU Berlin

International cooperation is essential for the formation of future projects because looking beyond the obvious and realizing different social and cultural experiences are key factors for cracking technical questions concerning the future city.

No matter if it is Berlin, Frankfurt, Paris, Istanbul, Ankara, New York or Kairo, big cities worldwide have similar challenges for the future.

GT-ARC’s mission is to take a leading role in creating ICT-based innovation through German-Turkish cooperation by (i) bringing the bright minds of the two countries together to design and develop core technologies for future innovative solutions, (ii) providing a framework for joint projects, staff mobility, idea exchange, and value creation among relevant stakeholders.




Information and Communication Technologies are increasingly used in our society for solving problems and challenges in domains ranging from energy, health and security to transport and telecommunications. As a result of this trend, new technologies emerge with very short innovation cycles, and face with several critical limitations such as scalability, performance, efficiency, reliability, availability and usability. These diverse and complex problems require cutting-edge multi-disciplinary research supported by strong engineering skills.

Research Focus

GT ARC focuses on the research and development of enabling ICT platforms, mechanisms, and tools for contemporary solutions that address the grand challenges and needs of our society, such as mobility, energy, and health. Based on this goal, GT ARC focuses on following basic research topics:


Aims at a holistic approach to support the streamlined development and deployment of data-driven applications towards realizing distributed autonomous systems, focusing on making device data available for AI/ML applications.
In this context, we have been developing an “AI middleware” and associated tools, which support both the extraction and semantic abstraction of device data as well as the development, deployment and monitoring of AI solutions on the ingested data.


Provides the necessary run-time and testing environment for AI models, libraries of trained AI models and data sets, as well as the supporting tools for general planning, perception and prediction functions.
A particular research focus of GT-ARC is on the design and development of the algorithms and tools that support more automated ML model selection and hyper-parameter optimization. We are also increasingly more involved in enhancing the explainability of AI models in our research, improving their applicability in critical domains such as automated mobility and health.


Focus is on the design and development of novel algorithms and tools to support network vulnerability monitoring and analysis as well as AI-based attack prediction, detection and response for connected systems.
In this direction, we have been developing both a real test environment and a simulation framework for monitoring and visualizing the network vulnerability state, attack modeling, and possible countermeasures. These are then utilized for game-theoretical modeling of attacker-defender interactions and the identification of countermeasure tasks, algorithms for automated response selection, and metrics for countermeasure effectiveness.


Diversity and complexity of problems require solutions with inherent intelligence such as monitoring its environment, processing the information, collaborating with others and autonomously making decisions.
GT ARC focuses on basic research activities for developing algorithms and approaches with self-* properties such as self-organization, self-healing and self-stabilization. The focal points of autonomous solutions are reliability, availability and adaptability.


The application areas of the GT ARC are tailored to design and develop ICT-based solutions towards addressing today's society challenges.


Aims to improve the efficiency, usability and safety of existing mobility infrastructures and services by the use of ICT based intelligent support systems towards more intelligent and automated mobility solutions.


Investigates new intelligent and personalized health services addressing the key requirements of target audience, by focusing on multi-modal user interfaces, multilingual and multicultural interaction, and cultural factors.


Targets a vision of fully connected and integrated cities, producing huge amounts of data, which are processed in real time for dynamic planning and optimization in the domains of energy, transport, etc.


Focuses on the establishment of a future smart grid that facilitates generation-spanning sustainability of energy conversion and transportation, and aims at enhancing the overall energy efficiency in all areas of life.





Container-based resilient Architecture for 5G Campus-Networks


Offenes Innovationslabor KI


AI Showcase for Future Mobility based on Platform Economy




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