Profiles

Principal Investigators

Biography

Jürgen Schmidhuber is the co-chair of the Center of Excellence for Generative AI (GenAI) at KAUST and a professor in the Computer Science Program within the Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division. Before joining KAUST, he served as the Director of the Swiss AI Lab, IDSIA, and was a professor of Artificial Intelligence at the University of Lugano (USI) from 2009 to 2021.

Dr. Schmidhuber earned his Ph.D. in Computer Science from the Technical University of Munich (TUM), Germany, in 1991. He is a co-founder and chief scientist of NNAISENSE and has authored over 350 peer-reviewed papers. He is a recognized keynote speaker and adviser on AI strategies to various governments.

His pioneering work in deep learning neural networks has significantly impacted AI, with applications in speech recognition, machine translation, and personal assistants like Apple’s Siri and Amazon’s Alexa. His research group was the first to achieve superhuman performance in official computer vision contests and won a medical imaging contest in 2012.

At KAUST, Professor Schmidhuber collaborates on AI research projects, contributes to developing AI-related educational programs, and engages with public and private sector organizations in Saudi Arabia and globally.

Research Interests

Professor Schmidhuber is a founding leader in artificial intelligence (AI) and machine learning. At KAUST, he leads and works with many current faculty members with research interests in AI. 

He spearheads the research focus on AI applications across various fields, including health care, drug design, chemistry, materials science, speech recognition, natural language processing, automation, robotics and soft robotics.

Education
Habilitation
Computer Science, Technical University of Munich, Germany, 1993
Doctor of Philosophy (Ph.D.)
Computer Science, Technical University of Munich, Germany, 1991
Diploma
Computer Science and Mathematics, Technical University of Munich, Germany, 1987

Postdoctoral Fellows

Biography

Nanbo obtained his Ph.D. from the School of Informatics, University of Edinburgh, under the supervision of Prof. Robert Fisher and Prof. Chris Williams.

Research Interests

Nanbo is working on machine learning, with a particular focus on world models.

Education
Doctor of Philosophy (Ph.D.)
Machine Learning and Computer Vision, The University of Edinburgh, United Kingdom, 2022
Biography

Yimeng's received her Bachelor's degree in Physics and my Ph.D. in Statistics from the University of Chinese Academy of Sciences (UCAS).

Research Interests

Yimeng's research interests lie at understanding the principles of intelligence. Her work has been focusing on:

  • LLM-based Planning & Reasoning: Developing agents capable of solving long-range tasks.
  • AI for Science: Scientific reasoning ability of large foundation models.
  • Self-Improving Agents: Theoretical frameworks for agents that can self-optimize.
Education
Doctor of Philosophy (Ph.D.)
Statistics, University of Chinese Academy of Sciences (UCAS), China, 2023
Bachelor of Science (B.S.)
Physics, University of Chinese Academy of Sciences (UCAS), China, 2018