Dr. Keles completed her B.Sc., M.Sc., and Ph.D. in Computer Engineering at Middle East Technical University, Turkey, in 2002, 2005, and 2010, respectively. Her distinguished Ph.D. thesis was honored with the Thesis of the Year award by the Prof. Dr. Mustafa Parlar Education and Research Foundation in 2010. Between 2000 and 2007, she contributed as a researcher at The Scientific and Technological Research Council of Turkey (TUBITAK), focusing on pattern recognition using multimedia data, including audio and video.

In 2010, she founded her own R&D company with a grant from the Ministry of Industry and Trade of Turkey. Her project SOYA, funded by TUBITAK in 2011, was later recognized as one of the best venture projects, leading to an opportunity in Silicon Valley for potential investments. Dr. Keles was an Assistant Professor at the Department of Computer Engineering, Ankara University, from 2013 to 2021, and is currently an Associate Professor at the Department of Computer Engineering, Hacettepe University.

Her research primarily spans computer vision and machine learning, with a focus on learning algorithms for limited data and deep generative models. She has contributed to sign and gesture recognition, generative adversarial networks, image inpainting, and image segmentation domains. Moreover, she collaborates on diverse projects involving aerial and medical images, speech signals, textual, geophysical, and hyperspectral data analysis with her graduate students.

Recent News

The theme is sign language recognition in the wild.  Our Large Scale Turkish Sign Language Dataset is utilized in the associated challenge and we will be listening to the best performing methods in the challenge as well as the other interesting works during the event. Please join us if you are interested..


You can access to the seminar here.