Jürgen Schmidhuber

Director, KAUST AI Initiative
Professor, Computer Science

Computer, Electrical and Mathematical Science and Engineering Division
Center membership : 
KAUST Artificial Intelligence Initiative


Education Profile

  • Habilitation August 1993: qualification for tenure professorship in computer science, Technische Universität München (TUM).

  • Ph.D. 1988-1991: preparation of a Ph.D. thesis on "Dynamic Neural Nets and the Fundamental Spatio-Temporal Credit Assignment Problem" at TUM.

  • Diploma 1983 - 1987: 4 year study of computer science and mathematics at Technische Universität München (TUM).

Research Interests

Jürgen Schmidhuber is the director of the Artificial Intelligence Initiative and professor of the Computer Science program in the Computer, Electrical, and Mathematical Sciences and Engineering (CEMSE) division at King Abdullah University of Science and Technology (KAUST). Professor Schmidhuber is a renowned computer scientist who is most noted for his pioneering work in the field of artificial intelligence (AI), deep learning, and artificial neural networks.

Prior to joining KAUST, Prof. Schmidhuber worked as a professor of Artificial Intelligence (Ordinarius)  at the University of Lugano (USI) from 2009-2021.

Prof. Schmidhuber will lead and work with several current faculty members with research interests in AI and will plan the research focus of the AI Initiative, recruit new faculty members, develop educational programs and entrepreneurial activities, as well as engage with key public and private sector organizations both within Saudi Arabia and globally.

Supported by excellent hardware and KAUST's outstanding interdisciplinary expertise in many different areas of science (see the KAUST Discovery Magazines), the AI Initiative will focus on AI applications in all fields, including healthcaredrug design, chemistry, materials science, speech recognition and natural language processing, automation, robotics, soft robotics, and other areas. The KAUST AI initiative already boasts an outstanding visual computing team, which has regularly been among the top groups at leading conferences in computer vision (e.g., the Conference on Computer Vision and Pattern Recognition), computer graphics (e.g., Special Interest Group on Computer Graphics and Interactive Techniques), and visualization (e.g., the IEEE Visualization Conference).

Selected Publications