Gazi Üniversitesi
About Us

Gazi University Artificial Intelligence Center

Gazi University Artificial Intelligence Center is a research and application center developing advanced artificial intelligence, machine learning, and deep learning technologies. It produces innovative solutions to complex industrial and research problems.

Interdisciplinary Research

Collaborative research bringing together different scientific disciplines.

Qualified Team

A strong and competent team of researchers from diverse disciplines.

Innovation and Technology

Applied artificial intelligence solutions and innovative technology development.

Global Collaboration

Partnerships with national and international universities, public institutions, and industry.

OUR FOCUS AREAS

Research and Technology

Artificial Intelligence

We develop intelligent solutions for healthcare, finance, and autonomous systems using artificial intelligence, machine learning, natural language processing, and computer vision.

Machine Learning

Using machine learning algorithms, we develop prediction, classification, and optimization solutions for computer vision, healthcare, finance, and autonomous systems.

Deep Learning

Using deep learning and multilayer neural networks to learn complex patterns, we develop intelligent solutions for computer vision, natural language processing, healthcare, and autonomous systems.

Big Data Analytics

Using statistics, machine learning, and data mining methods, we derive meaningful insights from large datasets for healthcare, finance, customer analytics, and smart cities.

OUR PROJECTS

Featured Projects

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Artificial intelligence applications in healthcare

SOY-AH: Competency-Based Interactive Digital Training Model for Family Physicians to Improve Community Health Literacy

(TÜBİTAK)
- GAZI U. FACULTY OF MEDICINE
- GAZI U. ARTIFICIAL INTELLIGENCE CENTER
- GAZI U. FACULTY OF SPORT SCIENCES
- UNIVERSITY OF HEALTH SCIENCES, GÜLHANE FACULTY OF MEDICINE
- ANKARA UNIVERSITY FACULTY OF MEDICINE


The project aims to develop and implement a professional training program that supports family physicians in assessing health literacy levels and developing individualized communication strategies through innovative digital content, and to evaluate the effectiveness of the training.

International academic collaboration

KA171-HED: Higher Education Student and Staff Mobility Supported by External Policy Funds

(ERASMUS+)
- GAZI U. ARTIFICIAL INTELLIGENCE CENTER
- VELLORE INSTITUTE OF TECHNOLOGY
- YAHIA FARES UNIVERSITY
- KING FAHD UNIVERSITY OF PETROLEUM AND MINERALS


The project aims to strengthen international project collaboration among four universities; facilitate the exchange of knowledge, education, and research experience in technology; conduct joint academic activities; and increase student and academic staff mobility.

Secure artificial intelligence and data systems

SINTRA: Critical Infrastructure Security with Multimodal Dynamic Sensing and Artificial Intelligence

(EUREKA ITEA4 & KoçSistem)


The project aims to improve the resilience of critical infrastructures such as airports, power plants, and transportation networks against physical security threats. It develops a comprehensive and innovative AI platform that detects complex anomalies through multimodal sensing and AI-assisted data analytics while providing interoperability, secure information sharing, and privacy protection.

Secure artificial intelligence and data systems

Digital Twin-Based Internet of Things

(CELTIC-NEXT & İNNOVA)


This project aims to innovate in digital twin technology through IoDT2, an open framework that addresses scalability and collaboration challenges. Leveraging serverless edge computing and digital twin-centric networking, IoDT2 enables seamless sharing of distributed models and real-time responsiveness. This approach benefits and expands adoption across various sectors by enhancing interoperability, optimizing performance, and simplifying digital twin creation.

OUR ACTIVITIES

Latest Activities

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ASELSAN Academy Workshop

Ministry of Environment, Urbanization and Climate Change

The “Artificial Intelligence Usage Guide in Geographic Information Systems Working Committee,” in which our Center participated, completed its work on 20 August 2026. GIS-AI governance, data management, quality assurance, model development, validation, and the lifecycle were addressed comprehensively.

Future of Artificial Intelligence Technologies seminar

TÜRKSAT Collaboration Meeting

Managers from Türksat’s R&D unit visited our Center on 1 July 2026. During the meeting, we agreed to collaborate on knowledge exchange and international projects.

CONTACT

Get in Touch

Gazi University Rectorate Emniyet Neighborhood
Bandırma Avenue
Yenimahalle 06500
Ankara / Türkiye