
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
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.
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.
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.
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
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.
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
Bandırma Avenue
Yenimahalle 06500
Ankara / Türkiye
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