Projects

A Competency-Based Interactive Digital Training Model for Family Physicians to Increase Public Health Literacy

The project aims to improve public health literacy by developing, implementing and evaluating an innovative professional training program for family physicians, enriched with interactive digital content. The program is designed to equip physicians with the knowledge, attitudes and skills required to assess the health literacy level of individuals or patients and to develop and apply personalized communication strategies.

The project derives its distinctive value from the absence of such a training program in Türkiye and from the development of an innovative, interactive, digital and evidence-based educational program using contemporary technologies.

By contributing to the career development of both the project team and the target group of family physicians, and by ensuring dissemination and sustainability, the project is also expected to contribute to improving health outcomes in Türkiye.

Mobility of Higher Education Students and Staff Supported by External Policy Funds

The project aims to facilitate knowledge exchange between the Gazi AI Center and Vellore Institute of Technology (VIT) in India through course content, projects, training, events and other technology-related activities, while enabling researchers to share their ideas and work in these fields. In the first phase, mobility is planned among the Gazi AI Center, GUZEM and VIT, with 10 staff members from each institution participating in teaching mobility and 3 staff members from each institution participating in training mobility.

Collaboration will be established between the Gazi AI Center and Yahia Fares University (YFU). In 2024 and 2025, six doctoral students from YFU visited the Gazi AI Center as visiting researchers. The cooperation agreement covers the education of doctoral students in computer engineering and teaching mobility for academic staff. The plan includes 5 incoming students at each level, 2 outgoing and 4 incoming staff members for teaching mobility, and 1 incoming and 1 outgoing staff member for training mobility.

The collaboration between the Gazi AI Center and King Fahd University of Petroleum and Minerals aims to support bilateral or multi-partner international project cooperation, doctoral-level student mobility in computer engineering, and academic staff mobility. The project plans mobility for 5 outgoing and 5 incoming doctoral students, as well as 3 outgoing and 3 incoming academic staff members.

Security of Critical Infrastructure by Multi-Modal Dynamic Sensing and AI

Stakeholders in critical industrial and civil infrastructures such as airports, power plants and transportation networks are frequently exposed to disruptions caused by human-made physical safety and security threats, ranging from well-organized criminal activities to lower-level but costly acts such as vandalism.

SINTRA aims to improve the resilience and protection of these critical infrastructures by developing an open data-streaming AI platform that supports interoperability, information sharing and privacy protection. By combining multimodal sensing with AI-powered data analytics, the project will provide a comprehensive solution for infrastructure safety and security and enable the detection of complex anomalies.

Internet of Digital Twin Things

This project aims to innovate digital twin technology through IoDT, an open framework addressing scalability and collaboration challenges. By leveraging serverless edge computing and digital-twin-centric networking, IoDT2 enables seamless sharing of distributed models and real-time responsiveness.

This approach benefits a wide range of sectors by improving interoperability, optimizing performance and simplifying digital twin creation, thereby supporting broader adoption.

Intelligent Interoperable Digital Twins

This project aims to establish an interoperability framework, methodology and tool support for creating digital twins capable of representing complex systems with large-scale heterogeneous data and interactions.

The project will address the core technologies and application areas of interoperable digital twins and apply them to fields such as industrial production, smart cities, infrastructure asset management, wildfire protection and renewable energy. It will also advance model-based development, integrate machine learning components, define a unified reference architecture, and provide tool support for both engineering and the operation of digital twins.

Cognitively Smart Assistant in Phygital Environment

The retail sector plays an important role in a country’s economy, but it must undergo transformation to provide shopping experiences that integrate online and offline activities, including personalized recommendations and purchases that can continue seamlessly across channels.

CAPE addresses these challenges by using technologies such as artificial intelligence, deep learning, blockchain and IoT to enhance personalized experiences, improve the performance of robots and kiosks, and introduce alternative opportunities and technologies that are not yet widely available in today’s market. Its targeted broader impacts include improved customer and employee satisfaction, increased sales and more efficient store processes.