The PhD programme Engineering Science was established by the Faculty of Technology, Art and Design (TKD) in 2018 with support from Simula Metropolitan Center for Digital Engineering (SimulaMet).
We are happy to congratulate Vajira Thambawita (simula.no) as the first PhD graduate from the program.
The title of his thesis was “DeepSynthBody: the beginning of the end for data deficiency in medicine”.
In his PhD Vajira introduces a new framework to overcome some of the inherent restrictions and limitations of medical data: There is a barrier to developing new and efficient machine learning solutions due to limited access.
The framework, named DeepSynthBody, uses deep generative adversarial networks to produce synthetic data with characteristics similar to real data.
It opens a new era of machine learning applications in medicine with a synthetic model of the human body.
Vajira has been supervised by Chief Research Scientist Michael A. Riegler, Professor Pål Halvorsen and Professor Hugo Hammer.
The photo of Vajira Thambawita at the top of the article was taken by Karoline Frøberg Hagene / Simula. The photo of the facade was taken by Benjamin Ward / OsloMet.
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