Applications to graduate programs will be taken during January 23-26, 2017
Happy New Year
The project named 'Enhancing the User Experience of 3D Displayed Virtual Scenes' has been accepted within TÜBİTAK 1001 program.
The project named 'Measurement, assessment and improvement of software testing maturity for people, teams, services and organizations' has been accepted within TÜBİTAK 1001 program.
The project named 'Recognition of Collective Activities via Deep Learning Techniques' has been accepted within TÜBİTAK 1001 program.
The project named 'Reliability-Oriented Design Methods for Application Specific Integrated Circuits' has been accepted within TÜBİTAK 1001 program.
Our students Kübra Akeren and Burak Ekici won the first place at TÜBİTAK 2016 University Senior Pojects Competition.
Dr. Mehmet Koseoglu has been selected to receive a Google Internet of Things (IoT) Technology Research Award
TÜBITAK-KAMAG Kent Güvenliği Yönetim Sistemi (KGYS) Projesi (Video Analytics) 1007 Programı kapsamınca kabul edilmiştir.
The project named 'Automatic discovery of word senses and building lexical semantic networks from collaboratively built semi-structured sources' has been accepted within TÜBİTAK 3501 career program.
The project named 'Improving the Energy Efficiency of the Random Access Procedure of the LTE-Advanced Standard for Machine-to-Machine Communications' has been accepted within TÜBİTAK 3001 program.
The project named 'Visual servoing of mobile systems, mapping and implementation on FPGA' has been accepted within TÜBİTAK-ARRS program.
The project named 'Bu uygulamayı güncellemek ister misiniz? Kendisini güncelleyen mobil zararlı yazılımların analizi ve tespiti' has been accepted within TÜBİTAK 1003 program.
2014 yılı TÜBİTAK Yazılım Yarışmasında 'Etkileşimli Egzersizlerle Desteklenmiş Sağlıklı Bilgisayar Kullanım Sistemi' başlıklı projeleri ile Türkiye finaline kalan ve bölümümüzü temsil eden öğrencilerimiz Ebubekir Güler, Furkan Arslan, Volkan Şahin ve danışmanları Yrd. Doç. Dr. Ahmet Burak Can'ı tebrik ederiz.
Computer Vision Lab'ın 'Görüntüleri Anlama ve Metni Görselleştirme' başlıklı TÜBİTAK 1001 projesi IC1307 nolu Avrupa Komisyonu COST aksiyonuna dahil oldu.
A new project from Vision Lab! :Towards A Unified Framework For Finding What Is Interesting In Videos
2016-2017 Fall Midterm Course Assesment Surveys
01 January 2017
Entrepreneurship at Gaming Industry
19 December 2016