Three Faculty Members Receive TÜBİTAK 1001 Grant

Dr. Uğur Güdükbay’s project titled “Personality analysis through human animation with deep learning-based methods and transferring learned personality traits to human animation” has got accepted for funding by the TÜBİTAK 1001 program.

Dr. Fazlı Can’s project titled “Supervised and semi-supervised classification of concept drifting multi-label data streams using novel neural network approaches” has got accepted for funding by the TÜBİTAK 1001 program.

Dr. Hamdi Dibeklioğlu’s project titled “Personality-invariant Detection of Deceit Level through Multimodal Analysis of Speech Videos” has got accepted for funding by the TÜBİTAK 1001 program.