Hassan Hayat is a Ph.D. candidate at Universitat Oberta de Catalunya (UOC) and a member of
the Artificial Intelligence for Human Well-being (AIWELL Lab) research group. His research focuses on the development of Deep Neural architecture that can handle different modalities (such as sound, image, and text) for Computer Vision and Affective Computing applications. He did his Master (Computer Science and Technology) from Nanjing University of Science and Technology (China) and Bachelor (Computer Science) from Federal Urdu University of Arts, Science, and Technology (Pakistan).
Hassan Hayat is a Ph.D. candidate at Universitat Oberta de Catalunya (UOC) and a member of
the Artificial Intelligence for Human Well-being (AIWELL Lab) research group. His research focuses on the development of Deep Neural architecture that can handle different modalities (such as sound, image, and text) for Computer Vision and Affective Computing applications. He did his Master (Computer Science and Technology) from Nanjing University of Science and Technology (China) and Bachelor (Computer Science) from Federal Urdu University of Arts, Science, and Technology (Pakistan).